근적외선분광(NIRS)을 이용한 참깨의 lignan 함량 비파괴 분석 방법 확립

Sesamin and sesamolin are major lignan components with a wide range of potential biological activities of sesame seeds. Near infrared reflectance spectroscopy (NIRS) is a rapid and non-destructive analysis method widely used for the quantitative determination of major components in many agricultural...

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Veröffentlicht in:Korean journal of crop science 2022, 67(1), , pp.61-66
Hauptverfasser: 이정은, Jeongeun Lee, 김성업, Sung-up Kim, 이명희, Myoung-hee Lee, 김정인, Jung-in Kim, 오은영, Eun-young Oh, 김상우, Sang-woo Kim, 김민영, Minyoung Kim, 박재은, Jae-eun Park, 조광수, Kwang-soo Cho, 오기원, Ki-won Oh
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Zusammenfassung:Sesamin and sesamolin are major lignan components with a wide range of potential biological activities of sesame seeds. Near infrared reflectance spectroscopy (NIRS) is a rapid and non-destructive analysis method widely used for the quantitative determination of major components in many agricultural products. This study was conducted to develop a screening method to determine the lignan contents for sesame breeding. Sesamin and sesamolin contents of 482 sesame samples ranged from 0.03-14.40 mg/g and 0.10-3.79 mg/g with an average of 4.93 mg/g and 1.74 mg/g, respectively. Each sample was scanned using NIRS and calculated for the calibration and validation equations. The optimal performance calibration model was obtained from the original spectra using partial least squares (PLS). The coefficient of determination in calibration (R 2 ) and standard error of calibration (SEC) were 0.963 and 0.861 for sesamin and 0.875 and 0.292 for sesamolin, respectively. Cross-validation results of the NIRS equation showed an R 2 of 0.889 in the prediction for sesamin and 0.781 for sesamolin and a standard error of cross-validation (SECV) of 1.163 for sesamin and 0.417 for sesamolin. The results showed that the NIRS equation for sesamin and sesamolin could be effective in selecting high lignan sesame lines in early generations of sesame breeding.
ISSN:0252-9777
2287-8432