Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method
Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of t...
Ausführliche Beschreibung
Autor*in: |
Yu, Lichao [verfasserIn] Sun, Aimin [verfasserIn] Suo, Nanzhaxi [verfasserIn] Zuo, Zhuo [verfasserIn] Zhao, Xiqian [verfasserIn] Zhang, Wei [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
Enthalten in: Applied physics - Berlin : Springer, 1973, 126(2020), 8 vom: 15. Juli |
---|---|
Übergeordnetes Werk: |
volume:126 ; year:2020 ; number:8 ; day:15 ; month:07 |
Links: |
---|
DOI / URN: |
10.1007/s00339-020-03788-9 |
---|
Katalog-ID: |
SPR040354687 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR040354687 | ||
003 | DE-627 | ||
005 | 20220110173131.0 | ||
007 | cr uuu---uuuuu | ||
008 | 201007s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s00339-020-03788-9 |2 doi | |
035 | |a (DE-627)SPR040354687 | ||
035 | |a (SPR)s00339-020-03788-9-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | 4 | |a 530 |q ASE |
084 | |a 33.60 |2 bkl | ||
084 | |a 51.00 |2 bkl | ||
084 | |a 53.09 |2 bkl | ||
100 | 1 | |a Yu, Lichao |e verfasserin |4 aut | |
245 | 1 | 0 | |a Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. | ||
650 | 4 | |a Mg–Co ferrite |7 (dpeaa)DE-He213 | |
650 | 4 | |a pH value |7 (dpeaa)DE-He213 | |
650 | 4 | |a Sol-gel self-propagation |7 (dpeaa)DE-He213 | |
650 | 4 | |a Structural |7 (dpeaa)DE-He213 | |
650 | 4 | |a Magnetic properties |7 (dpeaa)DE-He213 | |
700 | 1 | |a Sun, Aimin |e verfasserin |4 aut | |
700 | 1 | |a Suo, Nanzhaxi |e verfasserin |4 aut | |
700 | 1 | |a Zuo, Zhuo |e verfasserin |4 aut | |
700 | 1 | |a Zhao, Xiqian |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Wei |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Applied physics |d Berlin : Springer, 1973 |g 126(2020), 8 vom: 15. Juli |w (DE-627)235503231 |w (DE-600)1398311-8 |x 1432-0630 |7 nnns |
773 | 1 | 8 | |g volume:126 |g year:2020 |g number:8 |g day:15 |g month:07 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s00339-020-03788-9 |z lizenzpflichtig |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_SPRINGER | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_32 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_90 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_100 | ||
912 | |a GBV_ILN_101 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_120 | ||
912 | |a GBV_ILN_138 | ||
912 | |a GBV_ILN_150 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_152 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_171 | ||
912 | |a GBV_ILN_187 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_250 | ||
912 | |a GBV_ILN_267 | ||
912 | |a GBV_ILN_281 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_636 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2004 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2006 | ||
912 | |a GBV_ILN_2007 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2026 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2031 | ||
912 | |a GBV_ILN_2034 | ||
912 | |a GBV_ILN_2037 | ||
912 | |a GBV_ILN_2038 | ||
912 | |a GBV_ILN_2039 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2049 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2056 | ||
912 | |a GBV_ILN_2057 | ||
912 | |a GBV_ILN_2059 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2064 | ||
912 | |a GBV_ILN_2065 | ||
912 | |a GBV_ILN_2068 | ||
912 | |a GBV_ILN_2088 | ||
912 | |a GBV_ILN_2093 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2107 | ||
912 | |a GBV_ILN_2108 | ||
912 | |a GBV_ILN_2110 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2112 | ||
912 | |a GBV_ILN_2113 | ||
912 | |a GBV_ILN_2118 | ||
912 | |a GBV_ILN_2119 | ||
912 | |a GBV_ILN_2122 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2143 | ||
912 | |a GBV_ILN_2144 | ||
912 | |a GBV_ILN_2147 | ||
912 | |a GBV_ILN_2148 | ||
912 | |a GBV_ILN_2152 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2188 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_2336 | ||
912 | |a GBV_ILN_2446 | ||
912 | |a GBV_ILN_2470 | ||
912 | |a GBV_ILN_2472 | ||
912 | |a GBV_ILN_2507 | ||
912 | |a GBV_ILN_2522 | ||
912 | |a GBV_ILN_2548 | ||
912 | |a GBV_ILN_4035 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4046 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4242 | ||
912 | |a GBV_ILN_4246 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4251 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4328 | ||
912 | |a GBV_ILN_4333 | ||
912 | |a GBV_ILN_4334 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4336 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4393 | ||
912 | |a GBV_ILN_4700 | ||
936 | b | k | |a 33.60 |q ASE |
936 | b | k | |a 51.00 |q ASE |
936 | b | k | |a 53.09 |q ASE |
951 | |a AR | ||
952 | |d 126 |j 2020 |e 8 |b 15 |c 07 |
author_variant |
l y ly a s as n s ns z z zz x z xz w z wz |
---|---|
matchkey_str |
article:14320630:2020----::fetfhnhmgeipoeteadirsrcuefg0c_9e2_peaeb |
hierarchy_sort_str |
2020 |
bklnumber |
33.60 51.00 53.09 |
publishDate |
2020 |
allfields |
10.1007/s00339-020-03788-9 doi (DE-627)SPR040354687 (SPR)s00339-020-03788-9-e DE-627 ger DE-627 rakwb eng 530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Yu, Lichao verfasserin aut Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 Sun, Aimin verfasserin aut Suo, Nanzhaxi verfasserin aut Zuo, Zhuo verfasserin aut Zhao, Xiqian verfasserin aut Zhang, Wei verfasserin aut Enthalten in Applied physics Berlin : Springer, 1973 126(2020), 8 vom: 15. Juli (DE-627)235503231 (DE-600)1398311-8 1432-0630 nnns volume:126 year:2020 number:8 day:15 month:07 https://dx.doi.org/10.1007/s00339-020-03788-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.60 ASE 51.00 ASE 53.09 ASE AR 126 2020 8 15 07 |
spelling |
10.1007/s00339-020-03788-9 doi (DE-627)SPR040354687 (SPR)s00339-020-03788-9-e DE-627 ger DE-627 rakwb eng 530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Yu, Lichao verfasserin aut Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 Sun, Aimin verfasserin aut Suo, Nanzhaxi verfasserin aut Zuo, Zhuo verfasserin aut Zhao, Xiqian verfasserin aut Zhang, Wei verfasserin aut Enthalten in Applied physics Berlin : Springer, 1973 126(2020), 8 vom: 15. Juli (DE-627)235503231 (DE-600)1398311-8 1432-0630 nnns volume:126 year:2020 number:8 day:15 month:07 https://dx.doi.org/10.1007/s00339-020-03788-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.60 ASE 51.00 ASE 53.09 ASE AR 126 2020 8 15 07 |
allfields_unstemmed |
10.1007/s00339-020-03788-9 doi (DE-627)SPR040354687 (SPR)s00339-020-03788-9-e DE-627 ger DE-627 rakwb eng 530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Yu, Lichao verfasserin aut Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 Sun, Aimin verfasserin aut Suo, Nanzhaxi verfasserin aut Zuo, Zhuo verfasserin aut Zhao, Xiqian verfasserin aut Zhang, Wei verfasserin aut Enthalten in Applied physics Berlin : Springer, 1973 126(2020), 8 vom: 15. Juli (DE-627)235503231 (DE-600)1398311-8 1432-0630 nnns volume:126 year:2020 number:8 day:15 month:07 https://dx.doi.org/10.1007/s00339-020-03788-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.60 ASE 51.00 ASE 53.09 ASE AR 126 2020 8 15 07 |
allfieldsGer |
10.1007/s00339-020-03788-9 doi (DE-627)SPR040354687 (SPR)s00339-020-03788-9-e DE-627 ger DE-627 rakwb eng 530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Yu, Lichao verfasserin aut Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 Sun, Aimin verfasserin aut Suo, Nanzhaxi verfasserin aut Zuo, Zhuo verfasserin aut Zhao, Xiqian verfasserin aut Zhang, Wei verfasserin aut Enthalten in Applied physics Berlin : Springer, 1973 126(2020), 8 vom: 15. Juli (DE-627)235503231 (DE-600)1398311-8 1432-0630 nnns volume:126 year:2020 number:8 day:15 month:07 https://dx.doi.org/10.1007/s00339-020-03788-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.60 ASE 51.00 ASE 53.09 ASE AR 126 2020 8 15 07 |
allfieldsSound |
10.1007/s00339-020-03788-9 doi (DE-627)SPR040354687 (SPR)s00339-020-03788-9-e DE-627 ger DE-627 rakwb eng 530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Yu, Lichao verfasserin aut Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 Sun, Aimin verfasserin aut Suo, Nanzhaxi verfasserin aut Zuo, Zhuo verfasserin aut Zhao, Xiqian verfasserin aut Zhang, Wei verfasserin aut Enthalten in Applied physics Berlin : Springer, 1973 126(2020), 8 vom: 15. Juli (DE-627)235503231 (DE-600)1398311-8 1432-0630 nnns volume:126 year:2020 number:8 day:15 month:07 https://dx.doi.org/10.1007/s00339-020-03788-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 33.60 ASE 51.00 ASE 53.09 ASE AR 126 2020 8 15 07 |
language |
English |
source |
Enthalten in Applied physics 126(2020), 8 vom: 15. Juli volume:126 year:2020 number:8 day:15 month:07 |
sourceStr |
Enthalten in Applied physics 126(2020), 8 vom: 15. Juli volume:126 year:2020 number:8 day:15 month:07 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Mg–Co ferrite pH value Sol-gel self-propagation Structural Magnetic properties |
dewey-raw |
530 |
isfreeaccess_bool |
false |
container_title |
Applied physics |
authorswithroles_txt_mv |
Yu, Lichao @@aut@@ Sun, Aimin @@aut@@ Suo, Nanzhaxi @@aut@@ Zuo, Zhuo @@aut@@ Zhao, Xiqian @@aut@@ Zhang, Wei @@aut@@ |
publishDateDaySort_date |
2020-07-15T00:00:00Z |
hierarchy_top_id |
235503231 |
dewey-sort |
3530 |
id |
SPR040354687 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040354687</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110173131.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00339-020-03788-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040354687</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00339-020-03788-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.60</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.09</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yu, Lichao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mg–Co ferrite</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pH value</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sol-gel self-propagation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Structural</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Magnetic properties</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Aimin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Suo, Nanzhaxi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zuo, Zhuo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Xiqian</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Wei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Applied physics</subfield><subfield code="d">Berlin : Springer, 1973</subfield><subfield code="g">126(2020), 8 vom: 15. Juli</subfield><subfield code="w">(DE-627)235503231</subfield><subfield code="w">(DE-600)1398311-8</subfield><subfield code="x">1432-0630</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:126</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:8</subfield><subfield code="g">day:15</subfield><subfield code="g">month:07</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00339-020-03788-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.60</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.09</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">126</subfield><subfield code="j">2020</subfield><subfield code="e">8</subfield><subfield code="b">15</subfield><subfield code="c">07</subfield></datafield></record></collection>
|
author |
Yu, Lichao |
spellingShingle |
Yu, Lichao ddc 530 bkl 33.60 bkl 51.00 bkl 53.09 misc Mg–Co ferrite misc pH value misc Sol-gel self-propagation misc Structural misc Magnetic properties Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
authorStr |
Yu, Lichao |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)235503231 |
format |
electronic Article |
dewey-ones |
530 - Physics |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1432-0630 |
topic_title |
530 ASE 33.60 bkl 51.00 bkl 53.09 bkl Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method Mg–Co ferrite (dpeaa)DE-He213 pH value (dpeaa)DE-He213 Sol-gel self-propagation (dpeaa)DE-He213 Structural (dpeaa)DE-He213 Magnetic properties (dpeaa)DE-He213 |
topic |
ddc 530 bkl 33.60 bkl 51.00 bkl 53.09 misc Mg–Co ferrite misc pH value misc Sol-gel self-propagation misc Structural misc Magnetic properties |
topic_unstemmed |
ddc 530 bkl 33.60 bkl 51.00 bkl 53.09 misc Mg–Co ferrite misc pH value misc Sol-gel self-propagation misc Structural misc Magnetic properties |
topic_browse |
ddc 530 bkl 33.60 bkl 51.00 bkl 53.09 misc Mg–Co ferrite misc pH value misc Sol-gel self-propagation misc Structural misc Magnetic properties |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Applied physics |
hierarchy_parent_id |
235503231 |
dewey-tens |
530 - Physics |
hierarchy_top_title |
Applied physics |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)235503231 (DE-600)1398311-8 |
title |
Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
ctrlnum |
(DE-627)SPR040354687 (SPR)s00339-020-03788-9-e |
title_full |
Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
author_sort |
Yu, Lichao |
journal |
Applied physics |
journalStr |
Applied physics |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
txt |
author_browse |
Yu, Lichao Sun, Aimin Suo, Nanzhaxi Zuo, Zhuo Zhao, Xiqian Zhang, Wei |
container_volume |
126 |
class |
530 ASE 33.60 bkl 51.00 bkl 53.09 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Yu, Lichao |
doi_str_mv |
10.1007/s00339-020-03788-9 |
dewey-full |
530 |
author2-role |
verfasserin |
title_sort |
effect of ph on the magnetic properties and microstructure of $ mg_{0.1} %$ co_{0.9} %$ fe_{2} %$ o_{4} $ prepared by sol–gel self-propagating method |
title_auth |
Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
abstract |
Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. |
abstractGer |
Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. |
abstract_unstemmed |
Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 |
container_issue |
8 |
title_short |
Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method |
url |
https://dx.doi.org/10.1007/s00339-020-03788-9 |
remote_bool |
true |
author2 |
Sun, Aimin Suo, Nanzhaxi Zuo, Zhuo Zhao, Xiqian Zhang, Wei |
author2Str |
Sun, Aimin Suo, Nanzhaxi Zuo, Zhuo Zhao, Xiqian Zhang, Wei |
ppnlink |
235503231 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s00339-020-03788-9 |
up_date |
2024-07-03T15:26:44.651Z |
_version_ |
1803572115832569856 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040354687</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220110173131.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00339-020-03788-9</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040354687</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00339-020-03788-9-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">33.60</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.09</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yu, Lichao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effect of pH on the magnetic properties and microstructure of $ Mg_{0.1} %$ Co_{0.9} %$ Fe_{2} %$ O_{4} $ prepared by sol–gel self-propagating method</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The main purpose of this experiment is mainly to explore the magnetic properties and nano-structure of magnesium-cobalt ferrite. The magnesium-cobalt ferrite was prepare by sol–gel self-propagation method. During the preparation of the sample, we considered the effect of pH in solution of the magnetic properties and nano-structure of the magnesium-cobalt ferrite by changing the pH value of the precursor solution. Eight distinct characteristic peaks can be observed in the XRD map, which indicates that the prepared sample has a spinel structure. There are characteristic peaks (Me–O) in the Fourier infrared spectrum, and it changes with the preparation conditions. This indicates that the microstructure of the sample changes due to the change of preparation conditions. The EPMA test showed that the prepared sample had chemical elements such as magnesium, cobalt, iron, and oxygen, which confirmed that the sample was a relatively pure mixture. This result was in agreement with the fact that there was no obvious impurity peak in the XRD spectrum. Quantitative analysis of the chemical elements in the sample shows that the proportion of each component is similar to the target product. The SEM characterization indicates that the sample has a circular or elliptical surface structure and that the sample particles are evenly distributed. The VSM characterization results show that the pH of the solution has a major impact on the magnetic properties of magnesium-cobalt ferrite. Therefore, the pH value of the precursor should be strictly controlled in the preparation of ferrite, so as to prepare ferrite materials with better magnetic properties.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mg–Co ferrite</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pH value</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sol-gel self-propagation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Structural</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Magnetic properties</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sun, Aimin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Suo, Nanzhaxi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zuo, Zhuo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhao, Xiqian</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zhang, Wei</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Applied physics</subfield><subfield code="d">Berlin : Springer, 1973</subfield><subfield code="g">126(2020), 8 vom: 15. Juli</subfield><subfield code="w">(DE-627)235503231</subfield><subfield code="w">(DE-600)1398311-8</subfield><subfield code="x">1432-0630</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:126</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:8</subfield><subfield code="g">day:15</subfield><subfield code="g">month:07</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s00339-020-03788-9</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_101</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2119</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">33.60</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.00</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">53.09</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">126</subfield><subfield code="j">2020</subfield><subfield code="e">8</subfield><subfield code="b">15</subfield><subfield code="c">07</subfield></datafield></record></collection>
|
score |
7.399766 |