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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Royal Society of Chemistry
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72800/ http://psasir.upm.edu.my/id/eprint/72800/1/FT-NIR.pdf |
| _version_ | 1848857204733509632 |
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| author | Basri, Katrul Nadia Laili, Abdur Rehman Tuhaime, Nur Azera Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin |
| author_facet | Basri, Katrul Nadia Laili, Abdur Rehman Tuhaime, Nur Azera Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin |
| author_sort | Basri, Katrul Nadia |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:53:50Z |
| format | Article |
| id | upm-72800 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:53:50Z |
| publishDate | 2018 |
| publisher | Royal Society of Chemistry |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-728002021-02-08T01:47:26Z http://psasir.upm.edu.my/id/eprint/72800/ FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA Basri, Katrul Nadia Laili, Abdur Rehman Tuhaime, Nur Azera Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin 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. Royal Society of Chemistry 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72800/1/FT-NIR.pdf Basri, Katrul Nadia and Laili, Abdur Rehman and Tuhaime, Nur Azera and Hussain, Mutia Nurulhusna and Bakar, Jamilah and Sharif, Zaiton and Abdul Khir, Mohd Fared and Zoolfakar, Ahmad Sabirin (2018) FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA. Analytical Methods, 10 (34). 4143 - 4151. ISSN 1759-9660; ESSN: 1759-9679 https://pubs.rsc.org/en/content/articlelanding/2018/ay/c8ay01239c#!divAbstract 10.1039/C8AY01239C |
| spellingShingle | Basri, Katrul Nadia Laili, Abdur Rehman Tuhaime, Nur Azera Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin FT-NIR, MicroNIR and LED-MicroNIR for detection of adulteration in palm oil via PLS and LDA |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/72800/ http://psasir.upm.edu.my/id/eprint/72800/ http://psasir.upm.edu.my/id/eprint/72800/ http://psasir.upm.edu.my/id/eprint/72800/1/FT-NIR.pdf |