FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules

Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectanc...
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Gespeichert in:

Autor*in:	Sinija, V. R. [verfasserIn] Mishra, H. N. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2008

Schlagwörter:	Green tea Fourier transform near infrared spectroscopy PLS regression model Moisture analysis

Übergeordnetes Werk:	Enthalten in: Food and bioprocess technology - New York, NY : Springer Science + Business Media, LLC, 2008, 4(2008), 1 vom: 30. Okt., Seite 136-141
Übergeordnetes Werk:	volume:4 ; year:2008 ; number:1 ; day:30 ; month:10 ; pages:136-141

Links:	Volltext

DOI / URN:	10.1007/s11947-008-0149-8

Katalog-ID:	SPR023081775

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520			\|a Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s.
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matchkey_str	article:19355149:2008----::tisetocpcehdodtriainfosueot
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allfields	10.1007/s11947-008-0149-8 doi (DE-627)SPR023081775 (SPR)s11947-008-0149-8-e DE-627 ger DE-627 rakwb eng 660 ASE 58.34 bkl Sinija, V. R. verfasserin aut FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s. Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213 Mishra, H. N. verfasserin aut Enthalten in Food and bioprocess technology New York, NY : Springer Science + Business Media, LLC, 2008 4(2008), 1 vom: 30. Okt., Seite 136-141 (DE-627)566012294 (DE-600)2425455-1 1935-5149 nnns volume:4 year:2008 number:1 day:30 month:10 pages:136-141 https://dx.doi.org/10.1007/s11947-008-0149-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 ASE AR 4 2008 1 30 10 136-141
spelling	10.1007/s11947-008-0149-8 doi (DE-627)SPR023081775 (SPR)s11947-008-0149-8-e DE-627 ger DE-627 rakwb eng 660 ASE 58.34 bkl Sinija, V. R. verfasserin aut FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s. Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213 Mishra, H. N. verfasserin aut Enthalten in Food and bioprocess technology New York, NY : Springer Science + Business Media, LLC, 2008 4(2008), 1 vom: 30. Okt., Seite 136-141 (DE-627)566012294 (DE-600)2425455-1 1935-5149 nnns volume:4 year:2008 number:1 day:30 month:10 pages:136-141 https://dx.doi.org/10.1007/s11947-008-0149-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 ASE AR 4 2008 1 30 10 136-141
allfields_unstemmed	10.1007/s11947-008-0149-8 doi (DE-627)SPR023081775 (SPR)s11947-008-0149-8-e DE-627 ger DE-627 rakwb eng 660 ASE 58.34 bkl Sinija, V. R. verfasserin aut FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s. Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213 Mishra, H. N. verfasserin aut Enthalten in Food and bioprocess technology New York, NY : Springer Science + Business Media, LLC, 2008 4(2008), 1 vom: 30. Okt., Seite 136-141 (DE-627)566012294 (DE-600)2425455-1 1935-5149 nnns volume:4 year:2008 number:1 day:30 month:10 pages:136-141 https://dx.doi.org/10.1007/s11947-008-0149-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 ASE AR 4 2008 1 30 10 136-141
allfieldsGer	10.1007/s11947-008-0149-8 doi (DE-627)SPR023081775 (SPR)s11947-008-0149-8-e DE-627 ger DE-627 rakwb eng 660 ASE 58.34 bkl Sinija, V. R. verfasserin aut FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s. Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213 Mishra, H. N. verfasserin aut Enthalten in Food and bioprocess technology New York, NY : Springer Science + Business Media, LLC, 2008 4(2008), 1 vom: 30. Okt., Seite 136-141 (DE-627)566012294 (DE-600)2425455-1 1935-5149 nnns volume:4 year:2008 number:1 day:30 month:10 pages:136-141 https://dx.doi.org/10.1007/s11947-008-0149-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 ASE AR 4 2008 1 30 10 136-141
allfieldsSound	10.1007/s11947-008-0149-8 doi (DE-627)SPR023081775 (SPR)s11947-008-0149-8-e DE-627 ger DE-627 rakwb eng 660 ASE 58.34 bkl Sinija, V. R. verfasserin aut FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules 2008 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s. Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213 Mishra, H. N. verfasserin aut Enthalten in Food and bioprocess technology New York, NY : Springer Science + Business Media, LLC, 2008 4(2008), 1 vom: 30. Okt., Seite 136-141 (DE-627)566012294 (DE-600)2425455-1 1935-5149 nnns volume:4 year:2008 number:1 day:30 month:10 pages:136-141 https://dx.doi.org/10.1007/s11947-008-0149-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA 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_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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 58.34 ASE AR 4 2008 1 30 10 136-141
language	English
source	Enthalten in Food and bioprocess technology 4(2008), 1 vom: 30. Okt., Seite 136-141 volume:4 year:2008 number:1 day:30 month:10 pages:136-141
sourceStr	Enthalten in Food and bioprocess technology 4(2008), 1 vom: 30. Okt., Seite 136-141 volume:4 year:2008 number:1 day:30 month:10 pages:136-141
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Green tea Fourier transform near infrared spectroscopy PLS regression model Moisture analysis
dewey-raw	660
isfreeaccess_bool	false
container_title	Food and bioprocess technology
authorswithroles_txt_mv	Sinija, V. R. @@aut@@ Mishra, H. N. @@aut@@
publishDateDaySort_date	2008-10-30T00:00:00Z
hierarchy_top_id	566012294
dewey-sort	3660
id	SPR023081775
language_de	englisch
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R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</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 feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. 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author	Sinija, V. R.
spellingShingle	Sinija, V. R. ddc 660 bkl 58.34 misc Green tea misc Fourier transform near infrared spectroscopy misc PLS regression model misc Moisture analysis FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules
authorStr	Sinija, V. R.
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topic_title	660 ASE 58.34 bkl FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules Green tea (dpeaa)DE-He213 Fourier transform near infrared spectroscopy (dpeaa)DE-He213 PLS regression model (dpeaa)DE-He213 Moisture analysis (dpeaa)DE-He213
topic	ddc 660 bkl 58.34 misc Green tea misc Fourier transform near infrared spectroscopy misc PLS regression model misc Moisture analysis
topic_unstemmed	ddc 660 bkl 58.34 misc Green tea misc Fourier transform near infrared spectroscopy misc PLS regression model misc Moisture analysis
topic_browse	ddc 660 bkl 58.34 misc Green tea misc Fourier transform near infrared spectroscopy misc PLS regression model misc Moisture analysis
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title	FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules
ctrlnum	(DE-627)SPR023081775 (SPR)s11947-008-0149-8-e
title_full	FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules
author_sort	Sinija, V. R.
journal	Food and bioprocess technology
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author_browse	Sinija, V. R. Mishra, H. N.
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title_sort	ftnir spectroscopic method for determination of moisture content in green tea granules
title_auth	FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules
abstract	Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s.
abstractGer	Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s.
abstract_unstemmed	Abstract The feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. The measurement will take only 5–10 s.
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title_short	FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules
url	https://dx.doi.org/10.1007/s11947-008-0149-8
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author2	Mishra, H. N.
author2Str	Mishra, H. N.
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doi_str	10.1007/s11947-008-0149-8
up_date	2024-07-03T16:44:17.614Z
_version_	1803576994821046272
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R.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">FTNIR Spectroscopic Method for Determination of Moisture Content in Green Tea Granules</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2008</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 feasibility of measuring moisture content in green tea by Fourier transform near infrared (FTNIR) spectroscopic technique was investigated. Green tea granules samples with different moisture contents were scanned using FTNIR spectroscopy. The spectra were measured in diffused reflectance mode by keeping 4–5 g samples in small sample bottle. A partial least-square regression model was developed with vector normalization method in the near-infrared region (4,000–12,000 $ cm^{−1} $ or 800–2,500 nm). The developed model was validated using cross-validation technique. Maximum coefficient of determination (r2) value of 0.997 was obtained for the calibration model developed. The developed method was used further for quantification of moisture content in fresh green tea samples, and the results were compared with other methods like gravimetric method and moisture analyzer. Results indicated that FTNIR spectroscopy could be used for rapid detection of moisture content in green tea granules without destruction of samples. 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