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

Development of Models for the Prediction of Domestic Red Pepper (Capsicum annuum L.) Powder Capsaicinoid Content using Visible and Near-infrared Spectroscopy
  • 임종국
  • 모창연
  • 김기영
  • Moon S. Kim
  • 이호영

초록

Purpose: The purpose of this study was to non-destructively and quickly predict the capsaicinoid content of domestic redpepper powders from various areas of Korea using a pungency measurement system in combination with visible andnear-infrared (VNIR) spectroscopic techniques. Methods: The reflectance spectra of 149 red pepper powder samples from14 areas of Korea were obtained in the wavelength range of 450–950 nm and partial least squares regression (PLSR) modelsfor the prediction of capsaicinoid content were developed using area models. Results: The determination coefficient ofvalidation (RV2), standard error of prediction (SEP), and residual prediction deviation (RPD) for the capsaicinoid contentprediction model for the Namyoungyang area were 0.985, ±2.17 mg/100g, and 7.94, respectively. Conclusions: These resultsshow the possibility of VNIR spectroscopy combined with PLSR models in the non-destructive and facile prediction ofcapsaicinoid content of red pepper powders from Korea.

키워드

Capsaicinoid contentRed pepper powderSpectroscopyVisible and near-infrared
제목
Development of Models for the Prediction of Domestic Red Pepper (Capsicum annuum L.) Powder Capsaicinoid Content using Visible and Near-infrared Spectroscopy
제목 (타언어)
Development of Models for the Prediction of Domestic Red Pepper (Capsicum annuum L.) Powder Capsaicinoid Content using Visible and Near-infrared Spectroscopy
저자
임종국모창연김기영Moon S. Kim이호영
DOI
10.5307/JBE.2015.40.1.047
발행일
2015-03
유형
Y
저널명
Journal of Biosystems Engineering
40
1
페이지
47 ~ 60