Classification of fatty fat acid in palm oil using near infrared spectroscopy

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 co...

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Main Authors: Abdul Rahim, Herlina, Abdull Rani, Siti Nurhidayah Naqiah
Format: Article
Published: IFSA. 2013
Subjects:
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author Abdul Rahim, Herlina
Abdull Rani, Siti Nurhidayah Naqiah
author_facet Abdul Rahim, Herlina
Abdull Rani, Siti Nurhidayah Naqiah
author_sort Abdul Rahim, Herlina
collection ePrints
description 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%.
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spelling utm.eprints-503012019-01-28T04:30:33Z http://eprints.utm.my/50301/ Classification of fatty fat acid in palm oil using near infrared spectroscopy Abdul Rahim, Herlina Abdull Rani, Siti Nurhidayah Naqiah TK Electrical engineering. Electronics Nuclear engineering 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%. IFSA. 2013 Article PeerReviewed 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 http://www.sensorsportal.com/HTML/DIGEST/P_1353.htm
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdul Rahim, Herlina
Abdull Rani, Siti Nurhidayah Naqiah
Classification of fatty fat acid in palm oil using near infrared spectroscopy
title Classification of fatty fat acid in palm oil using near infrared spectroscopy
title_full Classification of fatty fat acid in palm oil using near infrared spectroscopy
title_fullStr Classification of fatty fat acid in palm oil using near infrared spectroscopy
title_full_unstemmed Classification of fatty fat acid in palm oil using near infrared spectroscopy
title_short Classification of fatty fat acid in palm oil using near infrared spectroscopy
title_sort classification of fatty fat acid in palm oil using near infrared spectroscopy
topic TK Electrical engineering. Electronics Nuclear engineering
work_keys_str_mv AT abdulrahimherlina classificationoffattyfatacidinpalmoilusingnearinfraredspectroscopy
AT abdullranisitinurhidayahnaqiah classificationoffattyfatacidinpalmoilusingnearinfraredspectroscopy