Non-destructive and Rapid Prediction of Moisture Content in Red Pepper (Capsicum annuum L.) Powder Using Near-infrared Spectroscopy and a Partial Least Squares Regression Model

초록

Purpose: The aim of this study was to develop a technique for the non-destructive and rapid prediction of the moisturecontent in red pepper powder using near-infrared (NIR) spectroscopy and a partial least squares regression (PLSR) model. Methods: Three red pepper powder products were separated into three groups based on their particle sizes using astandard sieve. Each product was prepared, and the expected moisture content range was divided into six or seven levelsfrom 3 to 21% wb with 3% wb intervals. The NIR reflectance spectra acquired in the wavelength range from 1,100 to 2,300nm were used for the development of prediction models of the moisture content in red pepper powder. Results: The valuesof RV2, SEP, and RPD for the best PLSR model to predict the moisture content in red pepper powders of varying particle sizesbelow 1.4 mm were 0.990, ±0.487% wb, and 10.00, respectively. Conclusions: These results demonstrated that NIRspectroscopy and a PLSR model could be useful techniques for measuring rapidly and non-destructively the moisturecontent in red pepper powder.

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