Classification and quantification of palm oil adulteration via portable NIR spectroscopy
Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. MicroNIR was set up in two different scan modes to study the effect of path length to the performance of spectral measurement. Pure and adulterated palm oil sample were classified usi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/61116/1/Classification%20and%20quantification%20of%20palm%20oil%20adulteration%20via%20portable%20NIR%20spectroscopy.pdf |
| _version_ | 1825932290926051328 |
|---|---|
| author | Basri, Katrul Nadia Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin |
| author_facet | Basri, Katrul Nadia Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin |
| author_sort | Basri, Katrul Nadia |
| collection | UPM |
| description | Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. MicroNIR was set up in two different scan modes to study the effect of path length to the performance of spectral measurement. Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. Additionally, by employing partial least square (PLS) regression, the coefficient of determination (R2) of transflectance and transmission were 0.9987 and 0.9994 with root mean square error of calibration (RMSEC) of 0.5931 and 0.6703 respectively. In order to remove the uninformative variables, variable selection using cumulative adaptive reweighted sampling (CARS) has been performed. The result of R2 and RMSEC after variable selection for transflectance and transmission were improved significantly. Based on the result of classification and quantification analysis, the transmission mode has yield better prediction model compared to the transflectance mode to distinguish the pure and adulterated palm oil. |
| first_indexed | 2024-03-06T09:39:43Z |
| format | Article |
| id | upm.eprints-61116 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:39:43Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | upm.eprints-611162019-05-14T01:43:33Z http://psasir.upm.edu.my/id/eprint/61116/ Classification and quantification of palm oil adulteration via portable NIR spectroscopy Basri, Katrul Nadia Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin Short wave near infrared spectroscopy (NIR) method was used to detect the presence of lard adulteration in palm oil. MicroNIR was set up in two different scan modes to study the effect of path length to the performance of spectral measurement. Pure and adulterated palm oil sample were classified using soft independent modeling class analogy (SIMCA) algorithm with model accuracy more than 0.95 reported for both transflectance and transmission modes. Additionally, by employing partial least square (PLS) regression, the coefficient of determination (R2) of transflectance and transmission were 0.9987 and 0.9994 with root mean square error of calibration (RMSEC) of 0.5931 and 0.6703 respectively. In order to remove the uninformative variables, variable selection using cumulative adaptive reweighted sampling (CARS) has been performed. The result of R2 and RMSEC after variable selection for transflectance and transmission were improved significantly. Based on the result of classification and quantification analysis, the transmission mode has yield better prediction model compared to the transflectance mode to distinguish the pure and adulterated palm oil. Elsevier 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61116/1/Classification%20and%20quantification%20of%20palm%20oil%20adulteration%20via%20portable%20NIR%20spectroscopy.pdf Basri, Katrul Nadia and Hussain, Mutia Nurulhusna and Bakar, Jamilah and Sharif, Zaiton and Abdul Khir, Mohd Fared and Zoolfakar, Ahmad Sabirin (2017) Classification and quantification of palm oil adulteration via portable NIR spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 173. pp. 335-342. ISSN 1386-1425; ESSN: 1873-3557 https://www.sciencedirect.com/science/article/pii/S1386142516305455?via%3Dihub 10.1016/j.saa.2016.09.028 |
| spellingShingle | Basri, Katrul Nadia Hussain, Mutia Nurulhusna Bakar, Jamilah Sharif, Zaiton Abdul Khir, Mohd Fared Zoolfakar, Ahmad Sabirin Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title | Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title_full | Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title_fullStr | Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title_full_unstemmed | Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title_short | Classification and quantification of palm oil adulteration via portable NIR spectroscopy |
| title_sort | classification and quantification of palm oil adulteration via portable nir spectroscopy |
| url | http://psasir.upm.edu.my/id/eprint/61116/1/Classification%20and%20quantification%20of%20palm%20oil%20adulteration%20via%20portable%20NIR%20spectroscopy.pdf |
| work_keys_str_mv | AT basrikatrulnadia classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy AT hussainmutianurulhusna classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy AT bakarjamilah classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy AT sharifzaiton classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy AT abdulkhirmohdfared classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy AT zoolfakarahmadsabirin classificationandquantificationofpalmoiladulterationviaportablenirspectroscopy |