Objective:

2

To establish a better near infrared quantitative model for quality control of Glycyrrhizae Radix et Rhizoma of components (moisture

total ash

liquiritin and glycyrrhizic acid) in liquorice

in order to realize rapid detection.

Method:

2

The contents of moisture

total ash

liquiritin and glycyrrhizic acid were determined in 97 samples based on the methods set forth in

Chinese Pharmacopoeia

. Meanwhile

the near infrared spectrum was scanned using near infrared spectroscope. R software was used to screen out the spectral pretreatment and build the quantitative models.

Result:

2

The optimum spectral pretreatment method for establishing the near infrared quantitative model of moisture and liquiritin was the first order derivative. For moisture

the correlation coefficients of test and validation were 0.930 0 and 0.929 9

and the root mean square errors were 0.243 2 and 0.203 8

respectively. For liquiritin

the correlation coefficients of test and validation were 0.930 3 and 0.907 6

and the root mean square errors were 0.093 9 and 0.128 9

respectively. The optimum spectral pretreatment method for establishing the near infrared quantitative model of total ash was MSC. The correlation coefficients of test and validation were 0.926 5 and 0.917 7

and the root mean square errors were 0.109 6 and 0.103 7

respectively. The optimum spectral pretreatment method for establishing the near infrared quantitative model of glycyrrhizic acid was SNV. The correlation coefficients of test and validation were 0.918 1 and 0.915 7

and the root mean square errors were 0.274 8 and 0.236 0

respectively.

Conclusion:

2

In this study

a better near infrared quantitative models for quality control of components of Glycyrrhizae Radix et Rhizoma were established

with a high accuracy

which laid a foundation for rapid detection of the components in Glycyrrhizae Radix et Rhizoma.