Abdul Rahim, Herlina and Abdull Rani, Siti Nurhidayah Naqiah (2013) Classification of fatty fat acid in palm oil using near infrared spectroscopy. Sensors and Transducers, 156 (9). pp. 247-250. ISSN 1726-5479
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Abstract
This paper propose an experiment to determine compatibility of near infrared (NIR) application in crude palm oil (CPO) quality measurement, considering only the Free Fatty Acid (FFA). 100 samples were taken from Felda Johor Bulkers, Terminal 1 in 7 consecutive days of experiment. FFA reading from conventional wet chemical analysis is used as the reference and validation for NIR method. Partial Least Square Regression (PLSR) method is used for the linear analysis, generated from MATLAB software. However, the finding from this experiment not really support the application at which the accuracy percentage acquire is only 48.12%.
Item Type: | Article |
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Uncontrolled Keywords: | fatty fat acid, near infrared spectroscopy, palm oil, partial least square regression |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 50301 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 02 Dec 2015 02:08 |
Last Modified: | 28 Jan 2019 04:30 |
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