gastric-mucosa-quantitative-polymerase-chain-reaction-analysis-for

Gastric Mucosa Quantitative Polymerase Chain Reaction Analysis for Detecting <em>Helicobacter pylori</em> and Antibiotic Resistance

Helicobacter pylori is a main pathogen that infects nearly half of the global population and is threatening public health due to its increasing antibiotic ...

application-polyacrylamide-gel-electrophoresis-analyzing-lipoprotein

Application of Polyacrylamide Gel Electrophoresis in Analyzing Lipoprotein Subfractions Relevant to Atherosclerotic Cardiovascular Disease

Low-density lipoprotein cholesterol (LDL-C) is a key factor in the development of atherosclerotic cardiovascular disease (ASCVD). Elevated levels of LDL-C ...

advanced-application-capillary-electrophoresis-high-resolution-serum

Advanced Application of Capillary Electrophoresis in High-resolution Serum Monoclonal Protein Detection

Monoclonal immunoglobulin, also known as M protein or paraprotein, is produced by clonal proliferation of plasma cells or B lymphocytes and serves as a ...

Southern Medical University

 and enterotoxigenic  (ETEC) are major bacterial pathogens of diarrheal disease that is the second leading cause of childhood mortality globally. Currently, it is well known that  spp., and .  are very closely related with many common characteristics. Evolutionarily speaking,  spp., are positioned within the phylogenetic tree of . . Therefore, discrimination of  spp., from .  is very difficult. Many methods have been developed with the aim of differentiating the two species, which include but not limited to biochemical tests, nucleic acids amplification, and mass spectrometry, etc. However, these methods suffer from high false positive rates and complicated operation procedures, which requires the development of novel methods for accurate and rapid identification of  spp., and . . As a low-cost and non-invasive method, surface enhanced Raman spectroscopy (SERS) is currently under intensive study for its diagnostic potential in bacterial pathogens, which is worthy of further investigation for its application in bacterial discrimination. In this study, we focused on clinically isolated .  strains and  species (spp.), that is, . , . , . , and . , based on which SERS spectra were generated and characteristic peaks for  spp., and .  were identified, revealing unique molecular components in the two bacterial groups. Further comparative analysis of machine learning algorithms showed that, the Convolutional Neural Network (CNN) achieved the best performance and robustness in bacterial discrimination capacity when compared with Random Forest (RF) and Support Vector Machine (SVM) algorithms. Taken together, this study confirmed that SERS paired with machine learning could achieve high accuracy in discriminating  spp., from . , which facilitated its application potential for diarrheal prevention and control in clinical settings. Graphical abstract.

ArticleTotal : 3	Year
Publication title	2025
$Application of Polyacrylamide Gel Electrophoresis in Analyzing Lipoprotein Subfractions Relevant to Atherosclerotic Cardiovascular Disease$ Publication title	2025
Publication title	2026

Ya-Long Liao

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