Prediction of chemical compositions for on-line quality measurement of red pepper powder using near infrared reflectance Spectroscopy (NIRS)

被引:0
|
作者
Lee, SM
Kim, S
Park, JB
Hwang, IK
机构
[1] Seoul Natl Univ, Dept Food & Nutr, Seoul 151742, South Korea
[2] Korea Food Res Inst, Songnam 463420, Kyeonggi, South Korea
关键词
red pepper powder; near infrared reflectance spectroscopy; capsaicinoids; ASTA color value; modified partial least squares;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Applicability of near infrared reflectance spectroscopy (NIRS) was examined for quality control of red pepper powder in milling factories. Prediction of chemical composition was performed using modified partial least square (MPLS) techniques. Analysis of total 51 and 21 red pepper powder samples by conventional method,, for calibration and validation, respectively, revealed standard error of prediction (SEP) and correlation coefficient (R-2) of moisture content. ASTA color value, capsaicinoid content, and total sugar content were 0.55 and 0.90, 8.58 and 0.96. 31.60 and 0,65, and 1,82 and 0.86, respectively, SEP and R-2 were low and high. respectively. except for capsaicinoid content, The results indicate with slight improvement, on-line quality measurement of red pepper powder with NIRS Could be applied in red pepper milling factories.
引用
收藏
页码:280 / 285
页数:6
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