FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA

Chemometrics analysis was performed to compare the performance of FT-NIR, MicroNIR and LED-NIR for detection of adulteration in palm oil. FT-NIR has a high spectral resolution and signal-to-noise ratio, but MicroNIR is more light weight and suitable for on-site application. The feasibility of LED to...

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Published in:Analytical Methods
Main Author: Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
Format: Article
Language:English
Published: Royal Society of Chemistry 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052732723&doi=10.1039%2fc8ay01239c&partnerID=40&md5=35f67c0f9a4964cc0c5ed4e29fdd5a7d
id 2-s2.0-85052732723
spelling 2-s2.0-85052732723
Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
2018
Analytical Methods
10
34
10.1039/c8ay01239c
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052732723&doi=10.1039%2fc8ay01239c&partnerID=40&md5=35f67c0f9a4964cc0c5ed4e29fdd5a7d
Chemometrics analysis was performed to compare the performance of FT-NIR, MicroNIR and LED-NIR for detection of adulteration in palm oil. FT-NIR has a high spectral resolution and signal-to-noise ratio, but MicroNIR is more light weight and suitable for on-site application. The feasibility of LED to replace the conventional halogen tungsten light source in MicroNIR has been discussed in this paper. The wavelength of LEDs was based on the variable selection method, CARS, and the results were in good agreement with the C-H and O-H bond interaction displayed in the observed NIR spectrum. The advantages of using LED instead of a halogen tungsten light source are cost effectiveness, low power consumption and reduced number of variables. Different pretreatment approaches has been applied to the spectral data acquired to investigate the performance of preprocess to the result of chemometrics. Quantitative analysis was performed using partial least square (PLS) algorithms with the linear regression method. The best correlation coefficient, (R2), reported using FT-NIR was 0.99 with RMSEC and RMSEP values less than 1, indicating that the spread of calibration and prediction data was small. The LDA result showed that LED-NIR outperforms FT-NIR and MicroNIR with a sensitivity of 1.00 and a specificity of 0.9333. © 2018 The Royal Society of Chemistry.
Royal Society of Chemistry
17599660
English
Article
All Open Access; Green Open Access
author Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
spellingShingle Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
author_facet Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
author_sort Basri K.N.; Laili A.R.; Tuhaime N.A.; Hussain M.N.; Bakar J.; Sharif Z.; Abdul Khir M.F.; Zoolfakar A.S.
title FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
title_short FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
title_full FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
title_fullStr FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
title_full_unstemmed FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
title_sort FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA
publishDate 2018
container_title Analytical Methods
container_volume 10
container_issue 34
doi_str_mv 10.1039/c8ay01239c
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052732723&doi=10.1039%2fc8ay01239c&partnerID=40&md5=35f67c0f9a4964cc0c5ed4e29fdd5a7d
description Chemometrics analysis was performed to compare the performance of FT-NIR, MicroNIR and LED-NIR for detection of adulteration in palm oil. FT-NIR has a high spectral resolution and signal-to-noise ratio, but MicroNIR is more light weight and suitable for on-site application. The feasibility of LED to replace the conventional halogen tungsten light source in MicroNIR has been discussed in this paper. The wavelength of LEDs was based on the variable selection method, CARS, and the results were in good agreement with the C-H and O-H bond interaction displayed in the observed NIR spectrum. The advantages of using LED instead of a halogen tungsten light source are cost effectiveness, low power consumption and reduced number of variables. Different pretreatment approaches has been applied to the spectral data acquired to investigate the performance of preprocess to the result of chemometrics. Quantitative analysis was performed using partial least square (PLS) algorithms with the linear regression method. The best correlation coefficient, (R2), reported using FT-NIR was 0.99 with RMSEC and RMSEP values less than 1, indicating that the spread of calibration and prediction data was small. The LDA result showed that LED-NIR outperforms FT-NIR and MicroNIR with a sensitivity of 1.00 and a specificity of 0.9333. © 2018 The Royal Society of Chemistry.
publisher Royal Society of Chemistry
issn 17599660
language English
format Article
accesstype All Open Access; Green Open Access
record_format scopus
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