TY - JOUR
T1 - Application of non-destructive rapid determination of piperine in piper nigrum l. (black pepper) using nir and multivariate statistical analysis
T2 - A promising quality control tool
AU - Park, Jong Rak
AU - Kang, Hyun Hee
AU - Cho, Jong Ku
AU - Moon, Kwang Deog
AU - Kim, Young Jun
N1 - Publisher Copyright:
© 2020 by the authors.
PY - 2020/10
Y1 - 2020/10
N2 - 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.
AB - 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.
KW - Chemometric modeling
KW - Eco-friendly analysis
KW - Near infrared spectroscopy
KW - Piper nigrum L.
KW - Piperine
UR - http://www.scopus.com/inward/record.url?scp=85092651557&partnerID=8YFLogxK
U2 - 10.3390/foods9101437
DO - 10.3390/foods9101437
M3 - Article
AN - SCOPUS:85092651557
SN - 2304-8158
VL - 9
JO - Foods
JF - Foods
IS - 10
M1 - 1437
ER -