DSC as a valuable tool for the evaluation of adulteration of oils and fats

Authentication is part of quality assessment to maintain purity standards in oils and fats. It is highly useful for oils and fats as it helps to combat adulteration practices taking place in trade and industries. Among the different analytical techniques, DSC is a valuable tool for establishing iden...

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Main Author: Marikkar, Mohammed Nazrim
Other Authors: Chiavaro, Emma
Format: Book Section
Language:English
Published: Taylor & Francis 2015
Online Access:http://psasir.upm.edu.my/id/eprint/47007/
http://psasir.upm.edu.my/id/eprint/47007/1/DSC%20as%20a%20valuable%20tool%20for%20the%20evaluation%20of%20adulteration%20of%20oils%20and%20fats.pdf
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author Marikkar, Mohammed Nazrim
author2 Chiavaro, Emma
author_facet Chiavaro, Emma
Marikkar, Mohammed Nazrim
author_sort Marikkar, Mohammed Nazrim
building UPM Institutional Repository
collection Online Access
description Authentication is part of quality assessment to maintain purity standards in oils and fats. It is highly useful for oils and fats as it helps to combat adulteration practices taking place in trade and industries. Among the different analytical techniques, DSC is a valuable tool for establishing identity of pure oils and fats for authentication purposes. It is nondestructive technique and works with minimal sample preparation. DSC analyses of palmitic, lauric, and oleic oils can provide well-defined thermal curves, which can be compiled as a data base to become a reference for investigations leading to detection of adulterations. As DSC curves of plant oils and fats differ considerably from those of animal fats, adulterations in plant oils and fats caused by animal fats can be detected easily. There is basis for detection of adulteration qualitatively, if significant deviations are noticed in the DSC curve of a particular oil or fat with respect to that of the reference authentic sample. However, based on the characteristic composition of individual oil and fat, the detection approaches and limits of detection for either LD or BF differ considerably. DSC could also be used effectively for quantification of adulterations as DSC variables associated with adulteration peaks were found to show high correlation with the increasing levels of adulteration. For most oils, predictive models for estimation of lard adulteration can be obtained using stepwise multiple linear regression (SMLR) analysis with % LD (adulteration level) as the dependent variable and DSC parameters (peak area, A; peak height, HT; and peak onset, ON) of adulteration peak as independent variables.
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spelling upm-470072017-11-09T02:03:16Z http://psasir.upm.edu.my/id/eprint/47007/ DSC as a valuable tool for the evaluation of adulteration of oils and fats Marikkar, Mohammed Nazrim Authentication is part of quality assessment to maintain purity standards in oils and fats. It is highly useful for oils and fats as it helps to combat adulteration practices taking place in trade and industries. Among the different analytical techniques, DSC is a valuable tool for establishing identity of pure oils and fats for authentication purposes. It is nondestructive technique and works with minimal sample preparation. DSC analyses of palmitic, lauric, and oleic oils can provide well-defined thermal curves, which can be compiled as a data base to become a reference for investigations leading to detection of adulterations. As DSC curves of plant oils and fats differ considerably from those of animal fats, adulterations in plant oils and fats caused by animal fats can be detected easily. There is basis for detection of adulteration qualitatively, if significant deviations are noticed in the DSC curve of a particular oil or fat with respect to that of the reference authentic sample. However, based on the characteristic composition of individual oil and fat, the detection approaches and limits of detection for either LD or BF differ considerably. DSC could also be used effectively for quantification of adulterations as DSC variables associated with adulteration peaks were found to show high correlation with the increasing levels of adulteration. For most oils, predictive models for estimation of lard adulteration can be obtained using stepwise multiple linear regression (SMLR) analysis with % LD (adulteration level) as the dependent variable and DSC parameters (peak area, A; peak height, HT; and peak onset, ON) of adulteration peak as independent variables. Taylor & Francis Chiavaro, Emma 2015 Book Section PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47007/1/DSC%20as%20a%20valuable%20tool%20for%20the%20evaluation%20of%20adulteration%20of%20oils%20and%20fats.pdf Marikkar, Mohammed Nazrim (2015) DSC as a valuable tool for the evaluation of adulteration of oils and fats. In: Differential Scanning Calorimetry: Applications in Oil and Fat Technology. Taylor & Francis, Boca Raton, pp. 27-46. ISBN 9781466591523 10.1201/b17739-4
spellingShingle Marikkar, Mohammed Nazrim
DSC as a valuable tool for the evaluation of adulteration of oils and fats
title DSC as a valuable tool for the evaluation of adulteration of oils and fats
title_full DSC as a valuable tool for the evaluation of adulteration of oils and fats
title_fullStr DSC as a valuable tool for the evaluation of adulteration of oils and fats
title_full_unstemmed DSC as a valuable tool for the evaluation of adulteration of oils and fats
title_short DSC as a valuable tool for the evaluation of adulteration of oils and fats
title_sort dsc as a valuable tool for the evaluation of adulteration of oils and fats
url http://psasir.upm.edu.my/id/eprint/47007/
http://psasir.upm.edu.my/id/eprint/47007/
http://psasir.upm.edu.my/id/eprint/47007/1/DSC%20as%20a%20valuable%20tool%20for%20the%20evaluation%20of%20adulteration%20of%20oils%20and%20fats.pdf