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  • 标题:Application of Non-Destructive Rapid Determination of Piperine in Piper nigrum L. (Black Pepper) Using NIR and Multivariate Statistical Analysis: A Promising Quality Control Tool
  • 本地全文:下载
  • 作者:Jong-Rak Park ; Hyun-Hee Kang ; Jong-Ku Cho
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2020
  • 卷号:9
  • 期号:10
  • 页码:1437-1447
  • DOI:10.3390/foods9101437
  • 出版社:MDPI Publishing
  • 摘要:Piperine is a bioactive alkaloid compound which provides a unique spicy flavor derived from plants of the Piper nigrum L. Black pepper (n = 160) collected from Vietnam was studied using non-destructive near infrared spectroscopy (NIRS). The spectral acquisition ranged from 1100 to 2500 nm, and a chemometrics analysis program was performed to quantify the piperine contents. High performance liquid chromatography (HPLC) analysis was carried out to develop a chemometric model based on reference values. The black pepper samples were divided into two groups used for calibration (n = 120) and prediction (n = 40) sets. The optimum calibration model was developed by pretreatment of the spectra. The analyses results based on the prediction samples included a coefficient of determination (R2) of 0.914, a root mean square error of prediction (RMSEP) and a standard error of prediction (SEP) of about 0.220 g/100 g, and a ratio performance to deviation (RPD) value of 3.378 regarding the partial least square (PLS) regression model, and an R2 of 0.921, an RMSEP and SEP of 0.210 g/100 g, and an RPD of 3.571, with respect to the principal components (PC) regression model. These results indicate that NIRS can be applicable as a control, or as an alternative rapid and effective method to quantify piperine in P. nigrum L.
  • 关键词:near infrared spectroscopy; piperine; Piper nigrum L;; eco-friendly analysis; chemometric modeling near infrared spectroscopy ; piperine ; Piper nigrum L; ; eco-friendly analysis ; chemometric modeling
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