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http://dx.doi.org/10.7740/kjcs.2022.67.1.061

Establishment of a Nondestructive Analysis Method for Lignan Content in Sesame using Near Infrared Reflectance Spectroscopy  

Lee, Jeongeun (National Institute of Crop Science, RDA)
Kim, Sung-Up (National Institute of Crop Science, RDA)
Lee, Myoung-Hee (National Institute of Crop Science, RDA)
Kim, Jung-In (National Institute of Crop Science, RDA)
Oh, Eun-Young (National Institute of Crop Science, RDA)
Kim, Sang-Woo (National Institute of Crop Science, RDA)
Kim, MinYoung (National Institute of Crop Science, RDA)
Park, Jae-Eun (National Institute of Crop Science, RDA)
Cho, Kwang-Soo (National Institute of Crop Science, RDA)
Oh, Ki-Won (National Institute of Crop Science, RDA)
Publication Information
KOREAN JOURNAL OF CROP SCIENCE / v.67, no.1, 2022 , pp. 61-66 More about this Journal
Abstract
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 (R2) 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 R2 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.
Keywords
lignan; near infrared reflectance spectroscopy; sesame; sesamin; sesamolin;
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Times Cited By KSCI : 3  (Citation Analysis)
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