Tingting Sun, Shuhang Li, Brij Mohan, Yuanhua Yu, Wei Sun
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引用次数: 0
Abstract
Mutations in the drug-resistant gene ofMycobacterium tuberculosiscan make it challenging to use drugs in clinical practice. Traditional genetic testing for resistance requires cell culture and susceptibility testing, which take 1-2 weeks. In this study, a DNA-sensitive hydrogel (pHEAA/pMA-DNA) has been developed with nucleic acid binding ability, water retention capacity, and high-temperature resistance, allowing it to work normally at 105 °C. Molecular dynamics simulations have been used to obtain the necessary physicochemical parameters. The DNA-sensitive hydrogel acts as a novel biosensor for detecting rifampicin- and isoniazid-resistant gene mutations in Mycobacterium tuberculosis. The microarray sensor's detection range is between 109 copies/ml and 101 copies/mL, and its stability coefficient of variation (CV) is 2.424%. The study demonstrates that there is no mutual interference in the gel lattice. In addition, experiments on actual nucleic acid samples reveal accurate detection of bacterial strains and drug-resistant gene mutations. The regression curve conforms to the kinetic characteristics of nucleic acid amplification, exhibiting a sigmoidal shape. The Four-Parameter Logistic Regression (4PL) equation was employed for fitting, achieving an excellent coefficient of determination (R2 = 0.99791 > 0.99). The method enables parallel detection of microarray biosensors in multidrug-resistant Mycobacterium tuberculosis. The sensors show high efficiency in detecting resistance mutation sites of Mycobacterium tuberculosis to rifampicin and isoniazid, paving the way for researchers to design different probes in in vitro detection fields.
期刊介绍:
ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.