Semi-Nondestructive Certification of Crocodilian Leather by LC-MS Detection of Collagen Marker Peptides

Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics

Pheretima, also called "earthworms", is a well-known animal-derived traditional Chinese medicine that is extensively used in over 50 Chinese patent medicines (CPMs) in Chinese Pharmacopoeia (2020 edition). However, its zoological origin is unclear, both in the herbal market and CPMs. In this study, a strategy for integrating in-house annotated protein databases constructed from close evolutionary relationship-sourced RNA sequencing data from public archival resources and various sequencing algorithms (restricted search, open search, and de novo) was developed to characterize the phenotype of natural peptides of three major commercial species of Pheretima, including Pheretima aspergillum (PA), Pheretima vulgaris (PV), and Metaphire magna (MM). We identified 10,477 natural peptides in the PA, 7,451 in PV, and 5,896 in MM samples. Five specific signature peptides were screened and then validated using synthetic peptides; these demonstrated robust specificity for the authentication of PA, PV, and MM. Finally, all marker peptides were successfully applied to identify the zoological origins of Brain Heart capsules and Xiaohuoluo pills, revealing the inconsistent Pheretima species used in these CPMs. In conclusion, our integrated strategy could be used for the in-depth characterization of natural peptides of other animal-derived traditional Chinese medicines, especially non-model species with poorly annotated protein databases.

A rapid and simple signature peptides-based method for species authentication of three main commercial Pheretima

Pheretima with various activities is a commonly used animal-derived traditional medicine in Asia countries. However, almost half of them are non-pharmacopoeia species in the market due to the similar morphological characteristics between medicinal and non-medicinal species. This study aims to establish an effective method based on signature peptides for species authentication of three main commercial Pheretima, including two major Pheretima species (Amynthas aspergillum, Metaphire vulgaris) and one main adulteration (Metaphire magna). Firstly, the species of 52 batches of commercial Pheretima were authenticated based on DNA barcodes. Secondly, proteomic analysis was performed for protein characterization of three main commercial Pheretima. Furthermore, their signature peptides were screened and validated using ultra-high performance liquid chromatography coupled with mass spectrometry (UPLC-MS/MS) in multiple reaction monitoring (MRM) mode. Moreover, a simplified sample processing method was developed. Finally, large quantities of commercial Pheretima samples were analyzed for further verifying the feasibility of the signature peptides-based method. The result showed that the established method had a great application potential for authenticity identification of commercial Pheretima. SIGNIFICANCE: The authenticity assessment of medicinal materials is a main issue in the quality control process as deceptive practices could imply severe health risks. In this study, a rapid and simple method based on signature peptides was established for species authentication of three main commercial Pheretima, which can be an effective alternative to complex DNA barcoding and difficult morphological identification, and provided a reference for improvement of Pheretima quality standards.

Real-time authentication of animal species origin of leather products using rapid evaporative ionization mass spectrometry and chemometric analysis

Increasing accounts of fraud and persistent labeling problems have brought the authenticity of leather products into question. In this study, we developed an extremely simplified workflow for real-time, in situ, and unambiguous authentication of leather samples using rapid evaporative ionization mass spectrometry (REIMS) coupled with an electric soldering iron. Initially, authentic leather samples from cattle, sheep, pig, deer, ostrich, crocodile, and snake were used to create a chemometric model based on principal component analysis and linear discriminant analysis algorithms. The validated multivariate statistical model was then used to analyze and generate live classifications of commercial leather samples. In addition to REIMS analysis, the microstructures of leathers were characterized by scanning electron microscopy to provide complementary information. The current study is expected to provide a high-throughput tool with superior efficiency and accuracy for authenticating the identity of leathers and other consumer products of biogenic origin.