Abstract
Sesame oil is one of the most commonly used oils in life. It contains a special antioxidant substance called sesame lignans, which has high nutritional value and pharmacological activity. Chromatographic methods are accurate and reliable but not suitable for quality control due to time-consuming. Near-infrared (NIR) quantitative models for quickly determining sesamin, sesamolin and sesame lignans in sesame oil were built using a portable NIR spectrometer combined partial least squares(PLS) algorithm, and the optimal PLS models were developed by comparing the performance of the models with different spectral pretreatment methods and bands selection, the correlation coefficients (R2) were RC2 = 0.98, 0.99, 0.99, RP2 = 0.99, 0.97, 0.94, and the root mean square error (RMSEP) was 2.69 μg/mL, 3.73 μg/mL, and 7.96 μg/mL, respectively. The acceptable results demonstrated that portable NIR spectrometer could be used for monitoring the contents of sesamin, sesamolin, and sesame lignans in sesame oil during the production process to carry out quality control.
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