Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
    Communities & Collections
    Research Outputs
    Fundings & Projects
    People
    Statistics
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Српски
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Staff Publications
  3. Scopus
  4. Multivariate statistical analysis treatment of DSC thermal properties for animal fat adulteration
 
  • Details
Options

Multivariate statistical analysis treatment of DSC thermal properties for animal fat adulteration

Journal
Food Chemistry
Date Issued
2014
Author(s)
Dahimi O.
Alina Abdul Rahim 
Universiti Sains Islam Malaysia 
Abdulkarim S.M.
Hassan M.S.
Hashari S.B.T.Z.
Siti Mashitoh A.
Saadi S.
DOI
10.1016/j.foodchem.2014.02.087
Abstract
The adulteration of edible fats is a kind of fraud that impairs the physical and chemical features of the original lipid materials. It has been detected in various food, pharmaceutical and cosmeceutical products. Differential scanning calorimetry (DSC) is the robust thermo-analytical machine that permits to fingerprint the primary crystallisation of triacylglycerols (TAGs) molecules and their transition behaviours. The aims of this study was to assess the cross-contamination caused by lard concentration of 0.5-5% in the mixture systems containing beef tallow (BT) and chicken fat (CF) separately. TAGs species of pure and adulterated lipids in relation to their crystallisation and melting parameters were studied using principal components analysis (PCA). The results showed that by using the heating profiles the discrimination of LD from BT and CF was very clear even at low dose of less than 1%. Same observation was depicted from the crystallisation profiles of BT adulterated by LD doses ranging from 0.1% to 1% and from 2% to 5%, respectively. Furthermore, CF adulterated with LD did not exhibit clear changes on its crystallisation profiles. Consequently, DSC coupled with PCA is one of the techniques that might use to monitor and differentiate the minimum adulteration levels caused by LD in different animal fats. � 2014 Published by Elsevier Ltd.
Subjects

Adulteration

Beef tallow

Chicken fat

DSC

Lard

PCA

File(s)
Loading...
Thumbnail Image
Name

Multivariate statistical analysis treatment of DSC thermal properties for animal fat adulteration.pdf

Size

838.82 KB

Format

Adobe PDF

Checksum

(MD5):7c2bc1e1e79ec43a9d3bcb84145a2dcc

Welcome to SRP

"A platform where you can access full-text research
papers, journal articles, conference papers, book
chapters, and theses by USIM researchers and students.”

Contact:
  • ddms@usim.edu.my
  • 06-798 6206 / 6221
  • USIM Library
Follow Us:
READ MORE Copyright © 2024 Universiti Sains Islam Malaysia