Affiliations 

  • 1 Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia; Photonics Department, MIMOS Berhad, 57000 Kuala Lumpur, Malaysia
  • 2 Photonics Department, MIMOS Berhad, 57000 Kuala Lumpur, Malaysia; Laboratory of Halal Science Research, Institute of Halal Products Research Institute, Universiti Putra Malaysia, 43400 Serdang, Malaysia
  • 3 Laboratory of Halal Science Research, Institute of Halal Products Research Institute, Universiti Putra Malaysia, 43400 Serdang, Malaysia
  • 4 Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • 5 Photonics Department, MIMOS Berhad, 57000 Kuala Lumpur, Malaysia
  • 6 Faculty of Electrical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia. Electronic address: ahmad074@salam.uitm.edu.my
Spectrochim Acta A Mol Biomol Spectrosc, 2017 Feb 15;173:335-342.
PMID: 27685001 DOI: 10.1016/j.saa.2016.09.028

Abstract

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.