Advances in the application of gold nanoparticles for visual detection of liver ascites

2024-01-11 13:11:20

December 04, 2018 Source: Science Network

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Bacterial peritonitis caused by liver ascites is an important cause of death in patients with cirrhosis. The current clinical challenge is how to quickly detect bacteria in the ascites. Conventional methods of bacterial detection are primarily microbial culture or genetic analysis, however these methods require complex equipment and the operation of a skilled technician.

Peptidoglycan (PG) is the main component of the bacterial cell wall. Studies have shown that due to the poor selectivity of bacteria D, D-transpeptidase, most bacteria easily use exogenous D-amino acids from the surrounding medium, by replacing the peptides on the peptide bridge linking the peptidoglycan layer The terminal chain of D-alanine enters its peptidoglycan. D-alanyl-D-alanine (DADA) is the tail end of peptidoglycan oligopeptides, and similar molecules may be easily recognized by transpeptidase, enabling exogenous DADA It is easier to embed in peptidoglycan.

Shao Huawu, researcher of the Key Laboratory of Natural Medicines and Clinical Transformation of the Chengdu Institute of Biology, Chinese Academy of Sciences, and the research team of the National Nanoscience Center, Jiang Xingyu, developed a rapid visualization of bacterial gold nanoparticles and used them in clinical ascites samples. Detection of bacteria in the body.

The DADA-modified gold nanoparticles (Au_DADA) can visually detect bacteria in clinical liver ascites samples, and Au_DADA has the following advantages: simple synthesis, direct modification of DADA to gold nano-particles in the process of synthesizing gold nanoparticles by one-pot method On the granules; good stability, can be stored for more than one year at 4 Â°C. Therefore, this nanoparticle is a promising biosensor that is expected to be used for early detection of clinical bacteria.

The results of this study were published in the biomedical journal Theranostics (2018, 8(5), 1449-1457, IF = 8.766).

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