Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples
Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ met...
Ausführliche Beschreibung
Autor*in: |
Gao, Ming [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2022 |
---|
Schlagwörter: |
---|
Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
---|
Übergeordnetes Werk: |
Enthalten in: Food analytical methods - New York, NY : Springer, 2008, 15(2022), 7 vom: 26. März, Seite 2036-2047 |
---|---|
Übergeordnetes Werk: |
volume:15 ; year:2022 ; number:7 ; day:26 ; month:03 ; pages:2036-2047 |
Links: |
---|
DOI / URN: |
10.1007/s12161-022-02263-w |
---|
Katalog-ID: |
SPR047196017 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | SPR047196017 | ||
003 | DE-627 | ||
005 | 20230507200249.0 | ||
007 | cr uuu---uuuuu | ||
008 | 220605s2022 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s12161-022-02263-w |2 doi | |
035 | |a (DE-627)SPR047196017 | ||
035 | |a (SPR)s12161-022-02263-w-e | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Gao, Ming |e verfasserin |4 aut | |
245 | 1 | 0 | |a Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
264 | 1 | |c 2022 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 | ||
520 | |a Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. | ||
650 | 4 | |a Bisphenol |7 (dpeaa)DE-He213 | |
650 | 4 | |a Acidic ionic liquid |7 (dpeaa)DE-He213 | |
650 | 4 | |a Effervescent reaction-enhanced microextraction |7 (dpeaa)DE-He213 | |
650 | 4 | |a In situ metathesis reaction |7 (dpeaa)DE-He213 | |
650 | 4 | |a Milk and milky tea samples |7 (dpeaa)DE-He213 | |
700 | 1 | |a Wang, Hui |4 aut | |
700 | 1 | |a Wang, Jun |4 aut | |
700 | 1 | |a Wang, Xuedong |0 (orcid)0000-0002-8343-0692 |4 aut | |
700 | 1 | |a Wang, Huili |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Food analytical methods |d New York, NY : Springer, 2008 |g 15(2022), 7 vom: 26. März, Seite 2036-2047 |w (DE-627)566007320 |w (DE-600)2424728-5 |x 1936-976X |7 nnns |
773 | 1 | 8 | |g volume:15 |g year:2022 |g number:7 |g day:26 |g month:03 |g pages:2036-2047 |
856 | 4 | 0 | |u https://dx.doi.org/10.1007/s12161-022-02263-w |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_65 | ||
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_213 | ||
912 | |a GBV_ILN_224 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_250 | ||
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_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 | ||
951 | |a AR | ||
952 | |d 15 |j 2022 |e 7 |b 26 |c 03 |h 2036-2047 |
author_variant |
m g mg h w hw j w jw x w xw h w hw |
---|---|
matchkey_str |
article:1936976X:2022----::fevsecehnemcoxrcinaeoaiiinciudadniueahssecino |
hierarchy_sort_str |
2022 |
publishDate |
2022 |
allfields |
10.1007/s12161-022-02263-w doi (DE-627)SPR047196017 (SPR)s12161-022-02263-w-e DE-627 ger DE-627 rakwb eng Gao, Ming verfasserin aut Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 Wang, Hui aut Wang, Jun aut Wang, Xuedong (orcid)0000-0002-8343-0692 aut Wang, Huili aut Enthalten in Food analytical methods New York, NY : Springer, 2008 15(2022), 7 vom: 26. März, Seite 2036-2047 (DE-627)566007320 (DE-600)2424728-5 1936-976X nnns volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 https://dx.doi.org/10.1007/s12161-022-02263-w 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 AR 15 2022 7 26 03 2036-2047 |
spelling |
10.1007/s12161-022-02263-w doi (DE-627)SPR047196017 (SPR)s12161-022-02263-w-e DE-627 ger DE-627 rakwb eng Gao, Ming verfasserin aut Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 Wang, Hui aut Wang, Jun aut Wang, Xuedong (orcid)0000-0002-8343-0692 aut Wang, Huili aut Enthalten in Food analytical methods New York, NY : Springer, 2008 15(2022), 7 vom: 26. März, Seite 2036-2047 (DE-627)566007320 (DE-600)2424728-5 1936-976X nnns volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 https://dx.doi.org/10.1007/s12161-022-02263-w 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 AR 15 2022 7 26 03 2036-2047 |
allfields_unstemmed |
10.1007/s12161-022-02263-w doi (DE-627)SPR047196017 (SPR)s12161-022-02263-w-e DE-627 ger DE-627 rakwb eng Gao, Ming verfasserin aut Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 Wang, Hui aut Wang, Jun aut Wang, Xuedong (orcid)0000-0002-8343-0692 aut Wang, Huili aut Enthalten in Food analytical methods New York, NY : Springer, 2008 15(2022), 7 vom: 26. März, Seite 2036-2047 (DE-627)566007320 (DE-600)2424728-5 1936-976X nnns volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 https://dx.doi.org/10.1007/s12161-022-02263-w 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 AR 15 2022 7 26 03 2036-2047 |
allfieldsGer |
10.1007/s12161-022-02263-w doi (DE-627)SPR047196017 (SPR)s12161-022-02263-w-e DE-627 ger DE-627 rakwb eng Gao, Ming verfasserin aut Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 Wang, Hui aut Wang, Jun aut Wang, Xuedong (orcid)0000-0002-8343-0692 aut Wang, Huili aut Enthalten in Food analytical methods New York, NY : Springer, 2008 15(2022), 7 vom: 26. März, Seite 2036-2047 (DE-627)566007320 (DE-600)2424728-5 1936-976X nnns volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 https://dx.doi.org/10.1007/s12161-022-02263-w 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 AR 15 2022 7 26 03 2036-2047 |
allfieldsSound |
10.1007/s12161-022-02263-w doi (DE-627)SPR047196017 (SPR)s12161-022-02263-w-e DE-627 ger DE-627 rakwb eng Gao, Ming verfasserin aut Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 Wang, Hui aut Wang, Jun aut Wang, Xuedong (orcid)0000-0002-8343-0692 aut Wang, Huili aut Enthalten in Food analytical methods New York, NY : Springer, 2008 15(2022), 7 vom: 26. März, Seite 2036-2047 (DE-627)566007320 (DE-600)2424728-5 1936-976X nnns volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 https://dx.doi.org/10.1007/s12161-022-02263-w 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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 AR 15 2022 7 26 03 2036-2047 |
language |
English |
source |
Enthalten in Food analytical methods 15(2022), 7 vom: 26. März, Seite 2036-2047 volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 |
sourceStr |
Enthalten in Food analytical methods 15(2022), 7 vom: 26. März, Seite 2036-2047 volume:15 year:2022 number:7 day:26 month:03 pages:2036-2047 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Bisphenol Acidic ionic liquid Effervescent reaction-enhanced microextraction In situ metathesis reaction Milk and milky tea samples |
isfreeaccess_bool |
false |
container_title |
Food analytical methods |
authorswithroles_txt_mv |
Gao, Ming @@aut@@ Wang, Hui @@aut@@ Wang, Jun @@aut@@ Wang, Xuedong @@aut@@ Wang, Huili @@aut@@ |
publishDateDaySort_date |
2022-03-26T00:00:00Z |
hierarchy_top_id |
566007320 |
id |
SPR047196017 |
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">SPR047196017</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507200249.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220605s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12161-022-02263-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047196017</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12161-022-02263-w-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="100" ind1="1" ind2=" "><subfield code="a">Gao, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</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="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bisphenol</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acidic ionic liquid</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Effervescent reaction-enhanced microextraction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">In situ metathesis reaction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Milk and milky tea samples</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Hui</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xuedong</subfield><subfield code="0">(orcid)0000-0002-8343-0692</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Huili</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Food analytical methods</subfield><subfield code="d">New York, NY : Springer, 2008</subfield><subfield code="g">15(2022), 7 vom: 26. März, Seite 2036-2047</subfield><subfield code="w">(DE-627)566007320</subfield><subfield code="w">(DE-600)2424728-5</subfield><subfield code="x">1936-976X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:7</subfield><subfield code="g">day:26</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:2036-2047</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12161-022-02263-w</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_65</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_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_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_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="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2022</subfield><subfield code="e">7</subfield><subfield code="b">26</subfield><subfield code="c">03</subfield><subfield code="h">2036-2047</subfield></datafield></record></collection>
|
author |
Gao, Ming |
spellingShingle |
Gao, Ming misc Bisphenol misc Acidic ionic liquid misc Effervescent reaction-enhanced microextraction misc In situ metathesis reaction misc Milk and milky tea samples Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
authorStr |
Gao, Ming |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)566007320 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
springer |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
1936-976X |
topic_title |
Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples Bisphenol (dpeaa)DE-He213 Acidic ionic liquid (dpeaa)DE-He213 Effervescent reaction-enhanced microextraction (dpeaa)DE-He213 In situ metathesis reaction (dpeaa)DE-He213 Milk and milky tea samples (dpeaa)DE-He213 |
topic |
misc Bisphenol misc Acidic ionic liquid misc Effervescent reaction-enhanced microextraction misc In situ metathesis reaction misc Milk and milky tea samples |
topic_unstemmed |
misc Bisphenol misc Acidic ionic liquid misc Effervescent reaction-enhanced microextraction misc In situ metathesis reaction misc Milk and milky tea samples |
topic_browse |
misc Bisphenol misc Acidic ionic liquid misc Effervescent reaction-enhanced microextraction misc In situ metathesis reaction misc Milk and milky tea samples |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Food analytical methods |
hierarchy_parent_id |
566007320 |
hierarchy_top_title |
Food analytical methods |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)566007320 (DE-600)2424728-5 |
title |
Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
ctrlnum |
(DE-627)SPR047196017 (SPR)s12161-022-02263-w-e |
title_full |
Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
author_sort |
Gao, Ming |
journal |
Food analytical methods |
journalStr |
Food analytical methods |
lang_code |
eng |
isOA_bool |
false |
recordtype |
marc |
publishDateSort |
2022 |
contenttype_str_mv |
txt |
container_start_page |
2036 |
author_browse |
Gao, Ming Wang, Hui Wang, Jun Wang, Xuedong Wang, Huili |
container_volume |
15 |
format_se |
Elektronische Aufsätze |
author-letter |
Gao, Ming |
doi_str_mv |
10.1007/s12161-022-02263-w |
normlink |
(ORCID)0000-0002-8343-0692 |
normlink_prefix_str_mv |
(orcid)0000-0002-8343-0692 |
title_sort |
effervescence-enhanced microextraction based on acidic ionic liquids and in situ metathesis reaction for bisphenol detection in milk samples |
title_auth |
Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
abstract |
Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
abstractGer |
Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
abstract_unstemmed |
Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 |
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_65 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_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 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_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 |
7 |
title_short |
Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples |
url |
https://dx.doi.org/10.1007/s12161-022-02263-w |
remote_bool |
true |
author2 |
Wang, Hui Wang, Jun Wang, Xuedong Wang, Huili |
author2Str |
Wang, Hui Wang, Jun Wang, Xuedong Wang, Huili |
ppnlink |
566007320 |
mediatype_str_mv |
c |
isOA_txt |
false |
hochschulschrift_bool |
false |
doi_str |
10.1007/s12161-022-02263-w |
up_date |
2024-07-04T02:15:46.074Z |
_version_ |
1803612948873084929 |
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">SPR047196017</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507200249.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220605s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s12161-022-02263-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR047196017</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s12161-022-02263-w-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="100" ind1="1" ind2=" "><subfield code="a">Gao, Ming</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effervescence-Enhanced Microextraction Based on Acidic Ionic Liquids and In Situ Metathesis Reaction for Bisphenol Detection in Milk Samples</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</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="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Herein, we developed an effervescent reaction-enhanced dispersive liquid–liquid microextraction method for the preconcentration/extraction of bisphenols (BPs) in milk and milky tea samples. This microextraction method was based on the utilization of acidic ionic liquid (AIL) and in situ metathesis reaction (AI-EDLM). Compared to the traditional imidazolium-based ionic liquid, AIL can not only be used as an extractant, but also as an acidic source in the effervescent reaction. Under such a case, it can avoid the use of additional acidic source and also achieve a rapid dispersion effect due to vigorous $ CO_{2} $ bubbles, which simplify the experimental procedures and decrease the preparation cost of effervescent tablets. By employing the one-factor-at-a-time approach, the main parameters were optimized as follows: 400 mg of [BMIM][$ HSO_{4} $] as extractant, 100 mg of $ Na_{2} %$ CO_{3} $ as alkaline source, 400 mg of Li[NTf]2 as the ionic-exchange reagent, 4% of NaCl, 5 min of centrifugation and 1.5 mL of ether as the elution solvent. Under optimized conditions, the limits of detection ranged from 0.12 to 0.32 μg $ L^{−1} $, and the extraction recoveries for BPA, BPB, and BPAF spanned the range of 85.7–106.2% in five kinds of milk samples. Therefore, the AIL ([BMIM][$ HSO_{4} $]) played dual roles, i.e., extractant and pH regulator, in the AI-EDLM procedures. Overall, this proposed method is simple, quick, and environment-friendly with low detection limits and high recoveries for BPs, and thus has excellent application value in the sample pretreatment field in milk and milky tea samples.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bisphenol</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acidic ionic liquid</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Effervescent reaction-enhanced microextraction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">In situ metathesis reaction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Milk and milky tea samples</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Hui</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jun</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Xuedong</subfield><subfield code="0">(orcid)0000-0002-8343-0692</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Huili</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Food analytical methods</subfield><subfield code="d">New York, NY : Springer, 2008</subfield><subfield code="g">15(2022), 7 vom: 26. März, Seite 2036-2047</subfield><subfield code="w">(DE-627)566007320</subfield><subfield code="w">(DE-600)2424728-5</subfield><subfield code="x">1936-976X</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:15</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:7</subfield><subfield code="g">day:26</subfield><subfield code="g">month:03</subfield><subfield code="g">pages:2036-2047</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s12161-022-02263-w</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_65</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_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_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_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="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">15</subfield><subfield code="j">2022</subfield><subfield code="e">7</subfield><subfield code="b">26</subfield><subfield code="c">03</subfield><subfield code="h">2036-2047</subfield></datafield></record></collection>
|
score |
7.400141 |