Asset Details
Do you wish to reserve the book?
Marker peptide screening and species-specific authentication of Pheretima using proteomics
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Marker peptide screening and species-specific authentication of Pheretima using proteomics
Do you wish to request the book?
Marker peptide screening and species-specific authentication of Pheretima using proteomics
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Marker peptide screening and species-specific authentication of Pheretima using proteomics
2021
Overview
Pheretima is a common and valuable animal-derived medication used in traditional Chinese medicine. There are four species of Pheretima specified in the Chinese Pharmacopoeia (2015 edition), i.e. Pheretima aspergillum, P. vulgaris, P. guillelmi, and P. pectinifera. A recent report revealed ~ 55% of Pheretima in the commercial marketplace may be adulterated by other species, contrary to the Pharmacopoeia standard. The safety, efficacy, and authenticity of Pheretima is an important issue. Currently, the availability of specific quality-markers for the various species and effective identification methods are still limited. In this study, label-free quantification proteomics of species from Pheretima and Amynthas was carried out using nanoscale liquid chromatography coupled to tandem mass spectrometry (nano LC-MS/MS), and marker peptides were identified based on their ion intensities using multivariate data analysis (principal component analysis and supervised partial least-squares discriminant analysis). A total of 48,476 peptides with high confidence corresponding to 13,397 proteins were identified from all samples. The marker peptides were validated by comparison with synthetic peptide reference standards using LC-MS/MS operating in a multiple-reaction monitoring mode. A multiple-peptide identification strategy was proposed for the authentication of Pheretima and subsequently applied to samples obtained from retail outlets in various regions of China. The results showed that eight out of the 15 samples tested were deemed authentic Pheretima.
Publisher
Springer Nature B.V
