analytical sensitivity

Design of a melting curve analysis (MCA) based on multiplex real-time PCR for detection of Aspergillus terreus and Aspergillus fumigatus in cereals and oilseeds samples

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This study developed a fast molecular test to detect harmful fungi (Aspergillus species) in grains and seeds. Traditional fungal identification takes 3-5 days, but the new PCR-based method can produce results in hours. Testing 140 grain and seed samples, the new method successfully identified two dangerous Aspergillus species that produce toxic compounds harmful to human health. This advancement helps ensure food safety by enabling quicker detection of contamination in food production facilities.

Performance Evaluation of Five Real-Time PCR Assays for the Detection of Candida auris DNA

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Candida auris is a dangerous fungal infection that spreads in hospitals and resists common antifungal medications. Researchers compared five different rapid tests (PCR assays) to see which ones best detect this pathogen. The study found that different tests vary widely in their ability to detect the fungus, with some being much more sensitive than others. The findings highlight the need for standardized testing methods worldwide to ensure hospitals can reliably identify and control C. auris infections.

Research Keyword: analytical sensitivity

Design of a melting curve analysis (MCA) based on multiplex real-time PCR for detection of Aspergillus terreus and Aspergillus fumigatus in cereals and oilseeds samples

Performance Evaluation of Five Real-Time PCR Assays for the Detection of Candida auris DNA