Use of Fourier transform infrared spectroscopy and multi-variant analysis for detection of butter adulteration with vegetable oil. Issue 1 (31st December 2023)
- Record Type:
- Journal Article
- Title:
- Use of Fourier transform infrared spectroscopy and multi-variant analysis for detection of butter adulteration with vegetable oil. Issue 1 (31st December 2023)
- Main Title:
- Use of Fourier transform infrared spectroscopy and multi-variant analysis for detection of butter adulteration with vegetable oil
- Authors:
- Akram, Usman
Sahar, Amna
Sameen, Aysha
Muhammad, Niaz
Ahmad, Muhammad Haseeb
Khan, Muhammad Issa
Usman, Muhammad
Rahman, Hafiz Ubaid ur - Abstract:
- ABSTRACT: During butter manufacturing, adulteration of animal and plant fats is one of the major issues in dairy industries. In dairy products, there is a huge potential in spectroscopic techniques such as Fourier transform infrared spectroscopy (FTIR) for the rapid determination of various adulterants. These spectroscopic techniques are reliable, rapid, and accurate as compared to traditional methods. Therefore, the aim of this study was to measure the potential of FTIR spectroscopy along with mathematical modeling for the detection of vegetable oil in butter samples. In this study, different levels of vegetable oil were added to the butter. FTIR spectra of different samples were collected and processed using principal component analysis (PCA) as well as partial least square (PLS) regression. PCA results postulated that 98% of the total variance was accounted by the first two principal components (PC) with a predominance of PC 1 (85%). PLS regression analysis showed values of R 2 for calibration as 0.95 and R 2 for validation as 0.90 which described good prediction efficiency of vegetable oil adulteration through FTIR data. The present work summarized that Fourier transform infrared spectroscopy along with multivariate analysis can be used to measure the adulteration in butter.
- Is Part Of:
- International journal of food properties. Volume 26:Issue 1(2023)
- Journal:
- International journal of food properties
- Issue:
- Volume 26:Issue 1(2023)
- Issue Display:
- Volume 26, Issue 1 (2023)
- Year:
- 2023
- Volume:
- 26
- Issue:
- 1
- Issue Sort Value:
- 2023-0026-0001-0000
- Page Start:
- 167
- Page End:
- 178
- Publication Date:
- 2023-12-31
- Subjects:
- Butter adulteration -- FTIR spectroscopy -- Multivariate analysis -- PCA -- PLS regression
Food -- Analysis -- Periodicals
Food -- Composition -- Periodicals
664.0705 - Journal URLs:
- http://www.tandfonline.com/toc/ljfp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10942912.2022.2158860 ↗
- Languages:
- English
- ISSNs:
- 1094-2912
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.253100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24950.xml