Multivariate calibration of Fourier transform infrared spectra for determining thiobarbituric acid-reactive substance content in palm oil
Fourier transform infrared (FTIR) spectra of palm oil samples between 2900 and 2800 cm-1 and 1800 and 1600 cm-1 were used to compare different multivariate calibration techniques for quantitative determination of their thiobarbituric acid-reactive substance (TBARS) content. Fifty spectra (in duplica...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Oil Chemists' Society
2001
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114816/1/114816.pdf http://psasir.upm.edu.my/id/eprint/114816/ https://aocs.onlinelibrary.wiley.com/doi/10.1007/s11746-001-0400-2 |
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| Institution: | Universiti Putra Malaysia |
| Language: | English |
| Summary: | Fourier transform infrared (FTIR) spectra of palm oil samples between 2900 and 2800 cm-1 and 1800 and 1600 cm-1 were used to compare different multivariate calibration techniques for quantitative determination of their thiobarbituric acid-reactive substance (TBARS) content. Fifty spectra (in duplicate) of palm oil with TBARS values between 0 and 0.25 were used to calibrate models based on partial least squares (PLS) and principal components regression (PCR) analyses with different baselines. The methods were compared for the number of factors, coefficients of determination (R2), and accuracy of estimation. The standard errors of prediction (SEP) were calculated to compare their predictive ability. The calibrated models generated three to eight factors, R2 of 0.9414 to 0.9803, standard error of estimation (SEE) of 0.0063 to 0.0680, and SEP of 1.20 to 6.67. |
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