Rapid and precise analytical tools are essential for monitoring food safety and screening of any undesirable contaminants, allergens, or pathogens, which may cause significant health risks upon consumption. Substantial developments in analytical techniques have empowered the analyses and quantitation of these contaminants. However, conventional techniques are limited by delayed analysis times, expensive and laborious sample preparation, and the necessity for highly-trained workers. Therefore, prompt advances in electrochemical biosensors have supported significant gains in quantitative detection and screening of food contaminants and showed incredible potential as a means of defying such limitations. Apart from indicating high specificity towards the target analytes, these biosensors have also addressed the challenge of food industry by providing high analytical accuracy within complex food matrices. Here, we discuss some of the recent advances in this area and analyze the role and contributions made by electrochemical biosensors in the food industry. This article also reviews the key challenges we believe biosensors need to overcome to become the industry standard.
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http://dx.doi.org/10.3390/foods7090141 | DOI Listing |
ACS Sens
January 2025
Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409, United States.
Wearable sensors are increasingly being used as biosensors for health monitoring. Current wearable devices are large, heavy, invasive, skin irritants, or not continuous. Miniaturization was chosen to address these issues, using a femtosecond laser-conversion technique to fabricate miniaturized laser-induced graphene (LIG) sensor arrays on and encapsulated within a polyimide substrate.
View Article and Find Full Text PDFSci Rep
January 2025
Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo China, Ningbo, China.
Electrodes functionalised with weak electroactive microorganisms offer a viable alternative to conventional chemical sensors for detecting priority pollutants in bioremediation processes. Biofilm-based biosensors have been proposed for this purpose. However, biofilm formation and maturation require 24-48 h, and the microstructure and coverage of the electrode surface cannot be controlled, leading to poorly reproducible signal and sensitivity.
View Article and Find Full Text PDFTalanta
January 2025
Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand; Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand; Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand; Forensic Science Innovation and Service Center, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand.
Nitrate (NO) is a widespread contaminant in drinking water. An electrochemical NO sensor was developed based on a first-time application of materials. Activated porous carbon (APC) was synthesized by carbonizing orange peel (OP) activated with KOH.
View Article and Find Full Text PDFTalanta
January 2025
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China. Electronic address:
As an emerging ionic sensor with low-voltage operation (<1 V), biocompatibility, and stable operation in aqueous environments, organic electrochemical transistors (OECTs) have attracted significant research interest for various biofluid-related ion detection, where minor ion concentration variations can effectively reflect health or pathology states. However, OECT-based ion sensors are currently limited by restricted device transconductance g and stabilites, which severely hinder their applications in actual ion sensing scenarios. Here, ultra-sensitive multi-ion sensors based on high-performance n-type vertical OECTs (accumulation mode, g = 58 mS) for Na, K, and Ca detection in a practical biofluid (effluent from continuous renal replacement therapy), are demonstrated with high accuracy and stability, which are comparable to conventional Roche method.
View Article and Find Full Text PDFHeliyon
January 2025
Center for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602 105, Tamil Nadu, India.
AI-optimized electrochemical aptasensors are transforming diagnostic testing by offering high sensitivity, selectivity, and rapid response times. Leveraging data-driven AI techniques, these sensors provide a non-invasive, cost-effective alternative to traditional methods, with applications in detecting molecular biomarkers for neurodegenerative diseases, cancer, and coronavirus. The performance metrics outlined in the comparative table illustrate the significant advancements enabled by AI integration.
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