Rapid Detection of Adulteration of Fritillariae Cirrhosae Bulbus Based on Portable Near Infrared Spectroscopy
10.13422/j.cnki.syfjx.20211757
- VernacularTitle:基于便携式近红外光谱技术快速检测川贝母掺伪问题
- Author:
Lin-hong FAN
1
;
Lin HE
1
;
Chao-qun TAN
2
;
Yao TIAN
1
;
Chun-ling ZHANG
1
;
Chun-jie WU
1
;
Yong-liang HUANG
3
Author Information
1. College of Pharmacy，Chengdu University of Traditional Chinese Medicine（TCM）， Chengdu 611137，China
2. National Key Laboratory of Fundamental Science on Synthetic Vision， College of Computer Science，Sichuan University，Chengdu 610065，China
3. Affiliated Hospital of Chengdu University of TCM，Chengdu 610072，China
- Publication Type:Journal Article
- Keywords:
portable near infrared spectrometer;
Fritillariae Cirrhosae Bulbus;
authenticity;
qualitative analysis;
quantitative analysis;
linear discriminant analysis;
partial least squares
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2022;28(3):131-138
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveIn order to establish a systematic quality evaluation system for Fritillariae Cirrhosae Bulbus adulteration， portable near-infrared （NIR） spectroscopy was used to identify Fritillariae Cirrhosae Bulbus and its adulterants and detect their adulteration quantity. MethodA total of 72 batches of Fritillariae Cirrhosae Bulbus samples were collected and 570 batches of adulterated products （dry bulbs of Fritillaria thunbergii， F. ussuriensis， F. pallidiflora and F. hupehensis， Bulbus Tulipae， flour） were prepared， NIR spectral data of samples were collected by the portable NIR spectrometer. Linear discriminant analysis （LDA） was used to establish the qualitative correction models of Fritillariae Cirrhosae Bulbus-adulterants and adulterants of different categories， partial least squares （PLS） was used to establish the quantitative correction models of adulteration quantity of different kinds of adulterants. ResultThe recognition rates of qualitative analysis model of Fritillariae Cirrhosae Bulbus and its adulterants were 99.49% （calibration set） and 100.00% （validation set）， respectively. In different adulterant models， the recognition rates of calibration set and validation set were 70.47% and 73.68%， respectively. Moreover， the correlation coefficients of validation set （R2P） of the six quantitative models of adulteration ratio were 0.840 2 （Fritillariae Cirrhosae Bulbus adulterated with F. thunbergii dry bulbs）， 0.960 2 （Fritillariae Cirrhosae Bulbus adulterated with F. ussuriensis dry bulbs）， 0.765 7 （Fritillariae Cirrhosae Bulbus adulterated with F. pallidiflora dry bulbs）， 0.902 5 （Fritillariae Cirrhosae Bulbus adulterated with F. hupehensis dry bulbs）， 0.957 4 （Fritillariae Cirrhosae Bulbus adulterated with Bulbus Tulipae）， 0.976 1 （Fritillariae Cirrhosae Bulbus adulterated with flour）， the root mean square error of prediction （RMSEP） were 10.948 5， 5.463 9， 13.256 4， 8.549 2， 5.655 3， 4.235 6， respectively. The two qualitative models and six quantitative models showed good prediction performance. ConclusionThe portable NIR spectroscopy can be used to identify Fritillariae Cirrhosae Bulbus and its adulterants in real time， the method is rapid and accurate， which can meet the requirements of nondestructive identification of Fritillariae Cirrhosae Bulbus on site.
