Derivative Technology of DNA Barcoding (Nucleotide Signature and SNP Double Peak Methods) Detects Adulterants and Substitution in Chinese Patent Medicines.
Derivative Technology of DNA Barcoding (Nucleotide Signature and SNP Double Peak Methods) Detects Adulterants and Substitution in Chinese Patent Medicines.
复制标题
DNA条形码衍生技术(核苷酸特征和SNP双峰法)检测中成药中的掺假和替代
DOI:
10.1038/s41598-017-05892-y
复制
发表时间:
2017-07-19
影响因子:
4.6
通讯作者:
Newmaster SG
中科院分区:
文献类型:
--
作者:
Gao Z;Liu Y;Wang X;Song J;Chen S;Ragupathy S;Han J;Newmaster SG
Lonicerae japonicae Flos has been used to produce hundred kinds of Chinese patent medicines (CPMs) in China. Economically motivated adulterants have been documented, leading to market instability and a decline in consumer confidence. ITS2 has been used to identify raw medicinal materials, but it’s not suitable for the identification of botanical extracts and complex CPMs. Therefore, a short barcode for the identification of processed CPMs would be profitable. A 34 bp nucleotide signature (5′ CTAGCGGTGGTCGTACGATAGCCAATGCATGAGT 3′) was developed derived from ITS2 region of Eucommiae Folium based on unique motifs. Mixtures of powdered Lonicerae japonicae Flos and Lonicerae Flos resulted in double peaks at the expected SNP (Single Nucleotide Polymorphisms) positions, of which the height of the peaks were roughly indicative of the species’ ratio in the mixed powder. Subsequently we tested 20 extracts and 47 CPMs labelled as containing some species ofLonicera. The results revealed only 17% of the extracts and 22% of the CPMs were authentic, others exist substitution or adulterant; 7% were shown to contain both of two adulterants Eucommiae Folium and Lonicerae Flos. The methods developed in this study will widely broaden the application of DNA barcode in quality assurance of natural health products.
登录
查看更多内容
影响因子:
5.6
作者:
Liu Y;Wang X;Wang L;Chen X;Pang X;Han J
通讯作者:
Han J
影响因子:
2.1
作者:
Gaudiano, Maria Cristina;Manna, Livia;Valvo, Luisa
通讯作者:
Valvo, Luisa
影响因子:
9.3
作者:
Newmaster SG;Grguric M;Shanmughanandhan D;Ramalingam S;Ragupathy S
通讯作者:
Ragupathy S
影响因子:
3.7
作者:
Kiebala M;Polesskaya O;Yao Z;Perry SW;Maggirwar SB
通讯作者:
Maggirwar SB
影响因子:
4.2
作者:
de Boer, Hugo J.;Ichim, Mihael C.;Newmaster, Steven G.
通讯作者:
Newmaster, Steven G.