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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
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Engineered Biosensors for Diagnosing Multidrug Resistance in Microbial and Malignant Cells
Niharika G Jha1, Daphika S Dkhar1, Sumit K Singh1
1School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi 221005, Uttar Pradesh, India.
Biosensors
|February 25, 2023
Summary
Multidrug resistance (MDR) poses challenges in treating infections and cancers. Recent biosensor advancements offer rapid, convenient detection of MDR cells, overcoming limitations of traditional methods.
Area of Science:
- Biomedical Engineering
- Molecular Biology
- Clinical Diagnostics
Background:
- Antimicrobial and antineoplastic drugs target pathogen and tumor growth.
- Multidrug resistance (MDR) emerges as cells evolve mechanisms to evade drug effects.
- MDR necessitates advanced diagnostic approaches due to treatment complexities.
Purpose of the Study:
- To review the current landscape of multidrug resistance (MDR).
- To explore recent trends in biosensor design for MDR detection.
- To highlight the application of biosensors in identifying MDR microorganisms and tumors.
Main Methods:
- Analysis of genotypic and phenotypic changes associated with drug resistance.
- Review of conventional clinical techniques (culturing, sequencing, MRI) for MDR determination.
- Focus on the engineering and application of advanced biosensors for rapid detection.
Main Results:
- Conventional MDR detection methods are time-consuming and not easily scalable for point-of-care use.
- Biosensors offer a promising alternative with low detection limits and high versatility.
- Engineered biosensors provide quick, reliable, and convenient results for MDR identification.
Conclusions:
- Biosensors represent a significant advancement over traditional methods for detecting multidrug resistance.
- The versatility and speed of biosensors facilitate improved management of MDR cases.
- Future directions emphasize the development of biosensors for point-of-care and mass-detection applications.
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