SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Yu Z, Xu Q, Xiao C, Li H, Wu W, Du W, Zhao J, Liu H, Wang H, Liu C. Forensic Sci. Int. 2021; 321: e110720.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.forsciint.2021.110720

PMID

unavailable

Abstract

In the field of drowning research, the method of diatom morphology has been most applied to determine whether the cause of death is drowning. However, the characteristics of complex operation, high level of professional knowledge drive us to propose a new method. Here, based on the common phytoplankton in water(such as diatoms and Aeromonas), aiming at the rbcL, 23 S, NIES, rPOD, Hly and preprotoxin aerolysin gene, we designed 6 pairs of specific primers and applied SYBR Green real-time qPCR(RT-qPCR) method to detect phytoplankton in the Pearl River Basin of Guangdong Province, China, so as to achieve the purpose of diagnosing drowning. After the experimental verification of the corresponding algae species and the standard strains of bacteria, as well as the verification of tissue samples (lung, liver and kidney) of 56 cases( 40 drowning cases and 16 non-drowning cases), we found that these primers were of great accuracy and tedious laboratory work of diatom test was reduced. Based on the advantages of high throughput, short period and high sensitivity, this RT-qPCR method is expected to diagnose drowning more rapidly and accurately.


Language: en

Keywords

Diatom test; Drowning diagnosis; Plankton; SYBR Green real-time qPCR

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print