4.6 Review

Real-Time Biosensing Bacteria and Virus with Quartz Crystal Microbalance: Recent Advances, Opportunities, and Challenges

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TAYLOR & FRANCIS INC
DOI: 10.1080/10408347.2023.2211164

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Biosensors; magnetic nanoparticles; microfluidics; pathogens; QCM

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Continuous monitoring of pathogens has wide applications and Quartz crystal microbalance (QCM) is a promising real-time detection method. QCM biosensors, with high sensitivity and rapid detection, offer hope for early infection detection and disease tracking. This review provides an overview of QCM biosensing, summarizes notable examples of QCM biosensors for pathogens, and explores the use of QCM sensors in various samples and the integration of magnetic nanoparticles in automated detection.
Continuous monitoring of pathogens finds applications in environmental, medical, and food industry settings. Quartz crystal microbalance (QCM) is one of the promising methods for real-time detection of bacteria and viruses. QCM is a technology that utilizes piezoelectric principles to measure mass and is commonly used in detecting the mass of chemicals adhering to a surface. Due to its high sensitivity and rapid detection times, QCM biosensors have attracted considerable attention as a potential method for detecting infections early and tracking the course of diseases, making it a promising tool for global public health professionals in the fight against infectious diseases. This review first provides an overview of the QCM biosensing method, including its principle of operation, various recognition elements used in biosensor creation, and its limitations and then summarizes notable examples of QCM biosensors for pathogens, focusing on microfluidic magnetic separation techniques as a promising tool in the pretreatment of samples. The review explores the use of QCM sensors in detecting pathogens in various samples, such as food, wastewater, and biological samples. The review also discusses the use of magnetic nanoparticles for sample preparation in QCM biosensors and their integration into microfluidic devices for automated detection of pathogens and highlights the importance of accurate and sensitive detection methods for early diagnosis of infections and the need for point-of-care approaches to simplify and reduce the cost of operation.

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