Detecting bacterial infections in wounds: a review of biosensors and wearable sensors in comparison with conventional laboratory methods. Issue 9 (13th April 2022)

• Record Type: Journal Article
• Authors: Mohamed Salleh, Nur Asinah binte; Tanaka, Yuki; Sutarlie, Laura; Su, Xiaodi
• Is Part Of: Analyst. Volume 147:Issue 9(2022)
• Page Start: 1756
• Page End: 1776
• Publication Date: 2022-04-13
• Subjects: Chemistry, Analytic -- Periodicals; 543
• DOI: 10.1039/d2an00157h
• Languages: English
• ISSNs: 0003-2654

Abstract

Abstract : Review on laboratory-based methods and biosensors and wearable sensors for detecting wound infection by aerobic and anaerobic bacteria. Abstract : Bacterial infection is a common impediment towards wound healing. Detecting bacterial infections is important to promote wound healing and curb chronic non-healing wounds. In this review, we firstly discuss bacterial communities, including aerobic and anaerobic bacteria in various types of wounds. Following the discussion of wound sampling methods (swab, biopsy) for different wounds, we then discuss laboratory based conventional methods (bacteria cultures, Gram staining, analytical profile index systems, polymerase chain reaction, and gas chromatography coupled with mass spectrometry), focusing on their recent improvement. After that we discussed the contemporary biosensor methods, including e-Nose, electrochemical sensors, surface enhanced Raman spectroscopy, and nucleic acid lateral flow immunoassay. Biosensors embedded into wound dressing, termed wearable sensors or smart wound dressing, are also discussed for their ability of enabling bacteria detection directly from wound sites without the need for obtaining swab/biopsy samples. We have compared all the detection methods for their performance according to their respective targets (either bacteria cells or volatile/non-volatile metabolites); after that we evaluate the suitability of various methods in providing timely and accurate diagnostic results towards real-time, point-of-care testing of bacterial infections.