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Vol. 156, Issue 9, September 2013, pp. 247-250

 

Bullet

 

Classification of Fatty Fat Acid in Palm Oil Using Near Infrared Spectroscopy
 
1 Herlina ABDUL RAHIM, 2 Siti Nurhidayah Naqiah ABDULL RANI

1, 2 Process Tomography and Instrumentation Research Group (PROTOM-I), INFOCOMM Research Alliance, Universiti Teknologi Malaysia, 81310 Skudai, Johor

 1 Tel.: +609-7714208, fax: +607-5566272

1 E-mail: herlina@fke.utm.my

 

Received: 21 June 2013   /Accepted: 25 August 2013   /Published: 30 September 2013

Digital Sensors and Sensor Sysstems

 

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 %.

 

Keywords: Palm oil, Fatty fat acid, Near infrared spectroscopy, Partial least square regression.

 

 

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