Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis
The NIR spectroscopy combined with chemometrics analysis has started to gain interest in the food industry for its rapid and non-destructive advantage. We report our result in investigating the capability of the NIR spectroscopy and chemometrics analysis in classifying pure palm oil samples from the...
Published in: | International Journal of Integrated Engineering |
---|---|
Main Author: | |
Format: | Article |
Language: | English |
Published: |
Penerbit UTHM
2018
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121564120&doi=10.30880%2fIJIE.2018.10.01.023&partnerID=40&md5=73573a802c518b77c3401c63879997e9 |
id |
2-s2.0-85121564120 |
---|---|
spelling |
2-s2.0-85121564120 Khir M.F.A.; Marzuki N.Z.S.; Tuhaime N.A.; Basri K.N.; Hussain M.N. Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis 2018 International Journal of Integrated Engineering 10 1 10.30880/IJIE.2018.10.01.023 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121564120&doi=10.30880%2fIJIE.2018.10.01.023&partnerID=40&md5=73573a802c518b77c3401c63879997e9 The NIR spectroscopy combined with chemometrics analysis has started to gain interest in the food industry for its rapid and non-destructive advantage. We report our result in investigating the capability of the NIR spectroscopy and chemometrics analysis in classifying pure palm oil samples from the one adulterated with beef tallow. The result analyzed using the open source R software has shown that the adulterated palm oil samples with adulteration of 0.5 % and above were correctly classified © 2018 Penerbit UTHM. All Rights Reserved. Penerbit UTHM 2229838X English Article All Open Access; Bronze Open Access |
author |
Khir M.F.A.; Marzuki N.Z.S.; Tuhaime N.A.; Basri K.N.; Hussain M.N. |
spellingShingle |
Khir M.F.A.; Marzuki N.Z.S.; Tuhaime N.A.; Basri K.N.; Hussain M.N. Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
author_facet |
Khir M.F.A.; Marzuki N.Z.S.; Tuhaime N.A.; Basri K.N.; Hussain M.N. |
author_sort |
Khir M.F.A.; Marzuki N.Z.S.; Tuhaime N.A.; Basri K.N.; Hussain M.N. |
title |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
title_short |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
title_full |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
title_fullStr |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
title_full_unstemmed |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
title_sort |
Detecting Beef Tallow adulteration in Palm Oil with NIR Spectroscopy and Chemometrics Analysis |
publishDate |
2018 |
container_title |
International Journal of Integrated Engineering |
container_volume |
10 |
container_issue |
1 |
doi_str_mv |
10.30880/IJIE.2018.10.01.023 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121564120&doi=10.30880%2fIJIE.2018.10.01.023&partnerID=40&md5=73573a802c518b77c3401c63879997e9 |
description |
The NIR spectroscopy combined with chemometrics analysis has started to gain interest in the food industry for its rapid and non-destructive advantage. We report our result in investigating the capability of the NIR spectroscopy and chemometrics analysis in classifying pure palm oil samples from the one adulterated with beef tallow. The result analyzed using the open source R software has shown that the adulterated palm oil samples with adulteration of 0.5 % and above were correctly classified © 2018 Penerbit UTHM. All Rights Reserved. |
publisher |
Penerbit UTHM |
issn |
2229838X |
language |
English |
format |
Article |
accesstype |
All Open Access; Bronze Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1812871801325223936 |