Research Keyword: Biomarker discovery

Comparative Metabolite Profiling Between Cordyceps sinensis and Other Cordyceps by Untargeted UHPLC-MS/MS

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This research compares the chemical compounds found in authentic Cordyceps sinensis with four similar but different Cordyceps species to identify which ones are real. Using advanced laboratory techniques, scientists detected thousands of chemical differences between the species. They found that genuine C. sinensis contains higher levels of specific beneficial compounds like nucleosides and certain fatty acids. These findings help consumers and merchants distinguish authentic Cordyceps from counterfeit products and lower-quality substitutes.

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Integrating Machine Learning and Molecular Methods for Trichophyton indotineae Identification and Resistance Profiling Using MALDI-TOF Spectra

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A new type of fungus called Trichophyton indotineae is causing stubborn skin infections that don’t respond well to standard antifungal treatments. Researchers used advanced laboratory techniques combined with computer analysis to better identify this fungus from MALDI-TOF spectra, which is a quick fingerprinting method for microorganisms. The study showed that machine learning could accurately distinguish this problematic fungus from similar species and found specific markers that could help clinics detect it faster, potentially improving patient treatment outcomes.

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