FAN Lin-hong,HE Lin,TAN Chao-qun,et al.Rapid Detection of Adulteration of Fritillariae Cirrhosae Bulbus Based on Portable Near Infrared Spectroscopy[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(03):131-138.
FAN Lin-hong,HE Lin,TAN Chao-qun,et al.Rapid Detection of Adulteration of Fritillariae Cirrhosae Bulbus Based on Portable Near Infrared Spectroscopy[J].Chinese Journal of Experimental Traditional Medical Formulae,2022,28(03):131-138. DOI: 10.13422/j.cnki.syfjx.20211757.
Rapid Detection of Adulteration of Fritillariae Cirrhosae Bulbus Based on Portable Near Infrared Spectroscopy
In 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.
Method
2
A 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.
Result
2
The 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 (
R
2
P
) 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.
Conclusion
2
The 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.
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