Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Development of Models for the Prediction of Domestic Red Pepper (Capsicum annuum L.) Powder Capsaicinoid Content using Visible and Near-infrared Spectroscopy

  • Lim, Jongguk (National Academy of Agricultural Science, Rural Development Administration) ;
  • Mo, Changyeun (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Giyoung (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Moon S. (Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture) ;
  • Lee, Hoyoung (Environmental Microbial and Food Safety Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture)
  • Received : 2014.10.19
  • Accepted : 2015.01.13
  • Published : 2015.03.01
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Abstract

Purpose: The purpose of this study was to non-destructively and quickly predict the capsaicinoid content of domestic red pepper powders from various areas of Korea using a pungency measurement system in combination with visible and near-infrared (VNIR) spectroscopic techniques. Methods: The reflectance spectra of 149 red pepper powder samples from 14 areas of Korea were obtained in the wavelength range of 450-950 nm and partial least squares regression (PLSR) models for the prediction of capsaicinoid content were developed using area models. Results: The determination coefficient of validation (RV2), standard error of prediction (SEP), and residual prediction deviation (RPD) for the capsaicinoid content prediction model for the Namyoungyang area were 0.985, ${\pm}2.17mg/100g$, and 7.94, respectively. Conclusions: These results show the possibility of VNIR spectroscopy combined with PLSR models in the non-destructive and facile prediction of capsaicinoid content of red pepper powders from Korea.

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References

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