AIMC Topic: Biosensing Techniques
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Cuprous oxide coated silver/graphitic carbon nitride/cadmium sulfide nanocomposite heterostructure: Specific recognition of carcinoembryonic antigen through sandwich-type mechanism.
Journal of colloid and interface science
Nov 22, 2021
The development of the effective diagnostic method for the determination of cancer biomarkers is one of the most promising strategies for early clinical diagnosis of cancer. Here, based on the preparation of heterogeneous cuprous oxide coated silver ...
A Fluorescent Biosensor for Sensitive Detection of Typhimurium Using Low-Gradient Magnetic Field and Deep Learning via Faster Region-Based Convolutional Neural Network.
Biosensors
Nov 11, 2021
In this study, a fluorescent biosensor was developed for the sensitive detection of typhimurium using a low-gradient magnetic field and deep learning via faster region-based convolutional neural networks (R-CNN) to recognize the fluorescent spots on...
Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry.
The Analyst
Oct 25, 2021
Electrochemical sensors and biosensors have been successfully used in a wide range of applications, but systematic optimization and nonlinear relationships have been compromised for electrode fabrication and data analysis. Machine learning and experi...
Risk assessment of latent tuberculosis infection through a multiplexed cytokine biosensor assay and machine learning feature selection.
Scientific reports
Oct 15, 2021
Accurate detection and risk stratification of latent tuberculosis infection (LTBI) remains a major clinical and public health problem. We hypothesize that multiparameter strategies that probe immune responses to Mycobacterium tuberculosis can provide...
Textiles in soft robots: Current progress and future trends.
Biosensors & bioelectronics
Oct 8, 2021
Soft robotics have substantial benefits of safety, adaptability, and cost efficiency compared to conventional rigid robotics. Textiles have applications in soft robotics either as an auxiliary material to reinforce the conventional soft material or a...
Advances in bacterial concentration methods and their integration in portable detection platforms: A review.
Analytica chimica acta
Sep 18, 2021
Early detection and identification of microbial contaminants is crucial in many sectors, including clinical diagnostics, food quality control and environmental monitoring. Biosensors have recently gained attention among other bacterial detection tech...
Recent advancement in nano-optical strategies for detection of pathogenic bacteria and their metabolites in food safety.
Critical reviews in food science and nutrition
Jul 20, 2021
Pathogenic bacteria and their metabolites are the leading risk factor in food safety and are one of the major threats to human health because of the capability of triggering diseases with high morbidity and mortality. Nano-optical sensors for bacteri...
Development of a smartphone-based lateral-flow imaging system using machine-learning classifiers for detection of Salmonella spp.
Journal of microbiological methods
Jul 17, 2021
Salmonella spp. are a foodborne pathogen frequently found in raw meat, egg products, and milk. Salmonella is responsible for numerous outbreaks, becoming a frequent major public-health concern. Many studies have recently reported handheld and rapid d...
Photonic Crystal Fiber-Based Reconfigurable Biosensor Using Phase Change Material.
IEEE transactions on nanobioscience
Jun 30, 2021
A reconfigurable biosensor with different spectral sensitivities could provide new opportunities to increase the label-free selectivity and sensitivity for biomolecules. Here, we propose and numerically demonstrate a phase change chalcogenide materia...
Machine Learning-Reinforced Noninvasive Biosensors for Healthcare.
Advanced healthcare materials
Jun 24, 2021
The emergence and development of noninvasive biosensors largely facilitate the collection of physiological signals and the processing of health-related data. The utilization of appropriate machine learning algorithms improves the accuracy and efficie...
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