ZHAO Ming-ming, FAN Jiu-yu, GU Rui, et al. Quality Assessment of Zhaxun with Different Classifications Based on Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(17): 93-98.
DOI:
ZHAO Ming-ming, FAN Jiu-yu, GU Rui, et al. Quality Assessment of Zhaxun with Different Classifications Based on Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2018, 24(17): 93-98. DOI: 10.13422/j.cnki.syfjx.20181703.
Quality Assessment of Zhaxun with Different Classifications Based on Near Infrared Spectroscopy
Objective:To explore rapid identification method of Zhaxun and its substitutes and to develop quality assessment method of Zhaxun by near infrared spectroscopy(NIRS) combined with statistical methods. Method:Zhaxun and its substitutes were divided into four grades according to traditional appearance quality classification
the content of fulvic acid in Zhaxun and its substitutes was determined
and its correlation with quality classification was analyzed.The qualitative relationship between quality classification and spectrum was explored by principal component analysis and NIRS.Partial least squares(PLS) was used to establish a quantitative model of NIRS
feasibility of a rapid assessment method for quality of Zhaxun and its substitute was investigated. Result:There was no clear correlation between fulvic acid content and quality classification of Zhaxun;the near infrared spectrum of grade Ⅳ(the substitutes) could be significantly separated from other grades
while the resolutions of near infrared spectrum of grade Ⅰ
Ⅱ and Ⅲ were not high
but it had a certain variation rules.The determination coefficient(R2) of NIRS model of fulvic acid content in Zhaxun was 80.13%
its root mean square error of cross validation(RMSECV) was 0.047
indicating this model had satisfactory predicted results.The R2
root mean square error of prediction(RMSEP) and relative percent deviation(RPD) of validation set were 11.91%
0.12 and 1.12
respectively;which indicated that the model robustness and resolution were not ideal. Conclusion:NIRS combined with principal component analysis can provide a reference for the rapid identification of Zhaxun and its substitutes.Fulvic acid content can not be used as a criterion for determining quality of Zhaxun.It is necessary to further explore the quality markers to evaluate the quality of Zhaxun.
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