Development of PLS model for rapid estimation of protein content of rice using Fourier transform: Near infrared spectroscopy
2015
Pandiselvam, Ravi (Tamil Nadu Agricultural University, Coimbatore (India). Department of Food and Agricultural Process Engineering) | Thirupathi, Venkatachalam (Tamil Nadu Agricultural University, Coimbatore (India). Department of Food and Agricultural Process Engineering) | Mohan, Striramasarma (Tamil Nadu Agricultural University, Coimbatore (India). Department of Agricultural Entomology) | Uma, Doraiswamy (Tamil Nadu Agricultural University, Coimbatore (India). Department of Bio chemistry)
This study attempted the feasibility to use near infrared spectroscopy as a nondestructive analysis method to qualitative and quantitative assessment of rice quality of Central Warehousing Corporation, India. A PLS model were developed using rice standards of different concentrations in the near-infrared region (4.000-12.000 cm-1). The developed models ware authenticated using test validation technique. FT-NIR spectroscopy with chemometrics, using the PLS-first derivative plus vector normalization method could predict the protein content of stored rice samples accurately up to an correlation coefficient (R2) and residual predictive deviation (RPD) values were 0,98 and 7,21, respectively. The error values such as root mean square error of cross validation (RMSECV) and root mean square error of estimation (RMSEE) were 0,28 and 0,25, respectively, with 11 factors in the prediction model. The developed model was applied to predict protein content in rice samples within 15 seconds. The developed procedure was further validated by recovery studies by comparing with micro Kjeldahl method of protein determination. These results show that NIR spectroscopy could hold up traditional techniques in studying qualitative assessment of rice.
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