Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration

In dairy product sector, butter is one of the potential sources of fat soluble vitamins, namely vitamin A, D, E, K; consequently, butter is taken into account as high valuable price from other dairy products. This fact has attracted unscrupulous market players to blind butter with other animal fats...

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Main Authors: Ahmad Fadzillah, Nurrulhidayah, Rohman, Abdul, Ismail, Amin, Mustafa, Shuhaimi, Khatib, Alfi
Format: Article
Language:English
Published: Japan Oil Chemists' Society 2013
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Online Access:http://irep.iium.edu.my/32030/1/Nurrulhidayah_et_al.%2C_JOC_2013.pdf
http://irep.iium.edu.my/32030/
https://www.jstage.jst.go.jp/article/jos/62/8/62_555/_article
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spelling my.iium.irep.320302020-08-11T03:07:08Z http://irep.iium.edu.my/32030/ Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration Ahmad Fadzillah, Nurrulhidayah Rohman, Abdul Ismail, Amin Mustafa, Shuhaimi Khatib, Alfi QD Chemistry In dairy product sector, butter is one of the potential sources of fat soluble vitamins, namely vitamin A, D, E, K; consequently, butter is taken into account as high valuable price from other dairy products. This fact has attracted unscrupulous market players to blind butter with other animal fats to gain economic profit. Animal fats like mutton fat (MF) are potential to be mixed with butter due to the similarity in terms of fatty acid composition. This study focused on the application of FTIR-ATR spectroscopy in conjunction with chemometrics for classification and quantification of MF as adulterant in butter. The FTIR spectral region of 3910-710 cm–1 was used for classification between butter and butter blended with MF at various concentrations with the aid of discriminant analysis (DA). DA is able to classify butter and adulterated butter without any mistakenly grouped. For quantitative analysis, partial least square (PLS) regression was used to develop a calibration model at the frequency regions of 3910-710 cm–1. The equation obtained for the relationship between actual value of MF and FTIR predicted values of MF in PLS calibration model was y = 0.998x + 1.033, with the values of coefficient of determination (R2) and root mean square error of calibration are 0.998 and 0.046% (v/v), respectively. The PLS calibration model was subsequently used for the prediction of independent samples containing butter in the binary mixtures with MF. Using 9 principal components, root mean square error of prediction (RMSEP) is 1.68% (v/v). The results showed that FTIR spectroscopy can be used for the classification and quantification of MF in butter formulation for verification purposes. Japan Oil Chemists' Society 2013-08-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/32030/1/Nurrulhidayah_et_al.%2C_JOC_2013.pdf Ahmad Fadzillah, Nurrulhidayah and Rohman, Abdul and Ismail, Amin and Mustafa, Shuhaimi and Khatib, Alfi (2013) Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration. Journal of Oleo Science, 62 (8). pp. 1-8. ISSN 1347-3352 (O), 1345-8957 (P) https://www.jstage.jst.go.jp/article/jos/62/8/62_555/_article
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QD Chemistry
spellingShingle QD Chemistry
Ahmad Fadzillah, Nurrulhidayah
Rohman, Abdul
Ismail, Amin
Mustafa, Shuhaimi
Khatib, Alfi
Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
description In dairy product sector, butter is one of the potential sources of fat soluble vitamins, namely vitamin A, D, E, K; consequently, butter is taken into account as high valuable price from other dairy products. This fact has attracted unscrupulous market players to blind butter with other animal fats to gain economic profit. Animal fats like mutton fat (MF) are potential to be mixed with butter due to the similarity in terms of fatty acid composition. This study focused on the application of FTIR-ATR spectroscopy in conjunction with chemometrics for classification and quantification of MF as adulterant in butter. The FTIR spectral region of 3910-710 cm–1 was used for classification between butter and butter blended with MF at various concentrations with the aid of discriminant analysis (DA). DA is able to classify butter and adulterated butter without any mistakenly grouped. For quantitative analysis, partial least square (PLS) regression was used to develop a calibration model at the frequency regions of 3910-710 cm–1. The equation obtained for the relationship between actual value of MF and FTIR predicted values of MF in PLS calibration model was y = 0.998x + 1.033, with the values of coefficient of determination (R2) and root mean square error of calibration are 0.998 and 0.046% (v/v), respectively. The PLS calibration model was subsequently used for the prediction of independent samples containing butter in the binary mixtures with MF. Using 9 principal components, root mean square error of prediction (RMSEP) is 1.68% (v/v). The results showed that FTIR spectroscopy can be used for the classification and quantification of MF in butter formulation for verification purposes.
format Article
author Ahmad Fadzillah, Nurrulhidayah
Rohman, Abdul
Ismail, Amin
Mustafa, Shuhaimi
Khatib, Alfi
author_facet Ahmad Fadzillah, Nurrulhidayah
Rohman, Abdul
Ismail, Amin
Mustafa, Shuhaimi
Khatib, Alfi
author_sort Ahmad Fadzillah, Nurrulhidayah
title Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
title_short Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
title_full Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
title_fullStr Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
title_full_unstemmed Application of FTIR-ATR spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
title_sort application of ftir-atr spectroscopy coupled with multivariate analysis for rapid estimation of butter adulteration
publisher Japan Oil Chemists' Society
publishDate 2013
url http://irep.iium.edu.my/32030/1/Nurrulhidayah_et_al.%2C_JOC_2013.pdf
http://irep.iium.edu.my/32030/
https://www.jstage.jst.go.jp/article/jos/62/8/62_555/_article
_version_ 1675327130613841920
score 13.18916