ABSTRACT
Objective Fructus Amomi(Sharen) is derived from the dry ripe fruit of Amomum villosum Lour., A.villosum Lour. var. xanthioides T.L. Wu et Senjen and A.longiligulate T.L.Wu, which is widely utilized for its clinic effects on digestive system. However, Fructus Amomi from different species and habitats, possessing different quality, is difficult to identify. In this study, we aim to develop a simple, rapid and reliable method for authentication of Fructus Amomi. Methods Twenty-five batches of samples of Fructus Amomi were collected and electronic nose was introduced into analyzing their odor with multiple mathematical statistics methods. Na?ve bayes network (NBN), radical basis function (RBF) and random forest (RF) were applied to establish different classifiers while BestFirst+CfsSubsetEval (BC) was used to screen the attributes for searching sensor array with higher contributions. Results Firstly, after attribute-screening via BC, the established discriminative models via NBN, RBF and RF could successfully identify genuine and non-genuine samples, presenting correct judging ratios of 78% and 84% through ten-fold cross validation and external test set validation, respectively. Besides, quantity predictive models were constructed as well. In case of content of bornyl acetate, one of the effective components in Fructus Amomi, values were higher than 3.5 mg/g and lower than 1.8 mg/g with sensor response of 0.04 and 0.03, respectively. Conclusion In this paper, quality discriminative model and quantity predictive model of Fructus Amomi were established via electronic nose and multiple mathematical statistics methods. It indicates that electronic nose could be a promising method for quality evaluation of Chinese material medica.
ABSTRACT
Objective Fructus Amomi (Sharen) is derived from the dry ripe fruit of Amomum villosum Lour., A.villosum Lour. var. xanthioides T.L. Wu et Senjen and A.longiligulate T.L.Wu, which is widely utilized for its clinic effects on digestive system. However, Fructus Amomi from different species and habitats, possessing different quality, is difficult to identify. In this study, we aim to develop a simple, rapid and reliable method for authentication of Fructus Amomi. Method- Twenty-five batches of samples of Fructus Amomi were collected and electronic nose was introduced into analyzing their odor with multiple mathematical statistics methods. Naïve bayes network (NBN), radical basis function (RBF) and random forest (RF) were applied to establish different classifiers while BestFirst+CfsSubsetEval (BC) was used to screen the attributes for searching sensor array with higher contributions. Results- Firstly, after attribute-screening via BC, the established discriminative models via NBN, RBF and RF could successfully identify genuine and non-genuine samples, presenting correct judging ratios of 78% and 84% through ten-fold cross validation and external test set validation, respectively. Besides, quantity predictive models were constructed as well. In case of content of bornyl acetate, one of the effective components in Fructus Amomi, values were higher than 3.5 mg/g and lower than 1.8 mg/g with sensor response of 0.04 and 0.03, respectively. Conclusion In this paper, quality discriminative model and quantity predictive model of Fructus Amomi were established via electronic nose and multiple mathematical statistics methods. It indicates that electronic nose could be a promising method for quality evaluation of Chinese material medica.
ABSTRACT
Medicinal plants of the Fructus Amomi containing three species (A momum villosum, A momum longiligu-lare, Amomum villosum var. xanthioides)are well-known, which are widely used as traditional medicines. The mor-phological characteristics of the three origins are very similar, especially in the form of seed. In this study, 60 sam-ples of Fructus Amomi were co llected, and 34 sequences of the Fructus Amomi and their adulterants from GenBank were analyzed. Single nucleotide polymorphisms (SNPs) were detected. All the ITS2 sequences here (including our ex-periments and GenBank data)were examined for SNPs at the interspecies level. Results from the study revealed that two stable bases at position 135 bp and 199 bp were found, which could be used as a unique marker to distinguish the three origins of Fructus Amomi. The two SNPs in the ITS2 were found to exist stably between the three species, and all the GenBank sequences of the Fructus Amomi. Our findings indicated that SNP-based DNA barcoding could be used as an efficient method for the rapid and accurate identification of the three origins of Fructus Amomi.
ABSTRACT
Objective To establish the quality standard of Fengsui Pills. Methods The qualitative analysis of Fructus Amomi and Radix Glycyrrhizae in Fengsui Pills was carried out by TLC,and the content of berberine hydrochloride,an effective component of Cortex Phellodendri in Fengsui Pills was determined by HPLC. Results The chromatographic sports of Fructus Amomi and Radix Glycyrrhizae were identified without the interference of negative control. A linearity of berberine hydrochloride was obtained from 0.272?g to 1.360 ?g with a good correlation (r=0.999 9,n=5).The average recovery was 99.01 %and the RSD was 0.98%. Conclusion The qualitative and quantitative methods established in this study are simple and feasible,accurate and reproducible,and can be used as the quality control standard for Fengsui Pills.
ABSTRACT
Objective: To study optimum inclusion process conditions for volatile oil from Fructus Amomi Rotunds. Methods: The study was carried out with orthogonal design. The process conditions were studied by determining the utilazision ratio of volatile oil from Fructus Amomi Rotundus. Results: The optimum preparation conditions for inclusion were established as: volatile oil:? CD was 1∶8, The inclusion temperature was at 50 ?C and inclusion time for 2h, The ultilizasion ratio of volatile oil was 79.7%. Conclusion: The method can be used for mass production.