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SCIE
근적외 분광분석법에 의한 잎담배의 품질측정 자동화
A Study for Automatic Analysis of Qualysis of Quality Components in Tabacco Leaves Using Non - destructive Analytical Method
조래광 , 이경희 , 이정환 , 권영길 ( Rae Kwang Cho , Kyung Hee Lee , Jung Hwan Lee , Yong Kil Kwon )
UCI I410-ECN-0102-2008-520-000739483

The present study was conducted to develop the automatic analytical method for determining moisture, nicotine, reducing sugar and total nitrogen contents and color(L, a, b) value in domestic tobacco leaves using near infrared(NIR) spectroscopy. The results of multiple linear regression analysis between chemical and NIR data showed that NIR spectro- scopy can determine those quality components of tobacco samples in 30 seconds, non-destructively. The results using developed calibrations are summarized as follows; The standard error of prediction(SEP) for moisture, nicotine. total nitrogen, reducing sugar contents and color(L, a, b) value in domestic tobacco leaves was 0.28%, 0.25%, 0.07%, 0.75%, 1.25, 0.44 and 1.07, respectively. In addition, The possibility of developing the cheaper filter type NIR instrument, for quality evaluation in the procurement from leaf tobacco cultivators and process control was investigated.

[자료제공 : 네이버학술정보]
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