TY - JOUR
T1 - Rapid discrimination of Panax ginseng powder adulterated with various root plants by FT-IR spectroscopy coupled with multivariate analysis
AU - Choi, Ji Young
AU - Kim, Minhyun
AU - Park, Sanghyeok
AU - Cho, Jeong Seok
AU - Lim, Jeong Ho
AU - Moon, Kwang Deog
N1 - Publisher Copyright:
© The Author(s) 2023.
PY - 2024/3
Y1 - 2024/3
N2 - Panax ginseng powder adulterated with other root plants (arrowroot, bellflower, and lance asiabell) was discriminated using Fourier transform infrared (FT-IR) spectroscopy, combined with multivariate analysis. Principal component analysis visually diagnosed the adulteration by showing two distinct clusters based on presence of adulteration. Wavenumber regions (1000 cm−1 and 3300 cm−1) selected from the loading plot associated with the vibration of OH and CH bond in ginsenoside and aromatic compounds. A quantitative model for the content of ginsenosides and specific aromatic compounds as indicators of pure ginseng powder, was developed based on partial least square regression analysis. The performance of the prediction model preprocessed with the Savizky–Golay 1st derivative was improved to R2 of 0.9650, 0.9635, and 0.9591 for Rb1, Rc, and β-Panasinsene, respectively. Therefore, FT-IR technology makes it possible to rapidly authenticate pure ginseng product based on the ginsenoside contents and aroma compound.
AB - Panax ginseng powder adulterated with other root plants (arrowroot, bellflower, and lance asiabell) was discriminated using Fourier transform infrared (FT-IR) spectroscopy, combined with multivariate analysis. Principal component analysis visually diagnosed the adulteration by showing two distinct clusters based on presence of adulteration. Wavenumber regions (1000 cm−1 and 3300 cm−1) selected from the loading plot associated with the vibration of OH and CH bond in ginsenoside and aromatic compounds. A quantitative model for the content of ginsenosides and specific aromatic compounds as indicators of pure ginseng powder, was developed based on partial least square regression analysis. The performance of the prediction model preprocessed with the Savizky–Golay 1st derivative was improved to R2 of 0.9650, 0.9635, and 0.9591 for Rb1, Rc, and β-Panasinsene, respectively. Therefore, FT-IR technology makes it possible to rapidly authenticate pure ginseng product based on the ginsenoside contents and aroma compound.
KW - Fourier transform infrared spectroscopy
KW - Ginseng products
KW - Ginsenoside
KW - Partial least squares regression
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=85176748985&partnerID=8YFLogxK
U2 - 10.1007/s10068-023-01423-w
DO - 10.1007/s10068-023-01423-w
M3 - Article
AN - SCOPUS:85176748985
SN - 1226-7708
VL - 33
SP - 805
EP - 815
JO - Food Science and Biotechnology
JF - Food Science and Biotechnology
IS - 4
ER -