SERS-based microdevices for use as in vitro diagnostic biosensors
S Lee, H Dang, JI Moon, K Kim, Y Joung… - Chemical Society …, 2024 - pubs.rsc.org
Advances in surface-enhanced Raman scattering (SERS) detection have helped to
overcome the limitations of traditional in vitro diagnostic methods, such as fluorescence and …
overcome the limitations of traditional in vitro diagnostic methods, such as fluorescence and …
Empowerment of AI algorithms in biochemical sensors
Z Zhou, T Xu, X Zhang - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Biochemical sensors have become indispensable tools for real-time, on-site monitoring and
analysis in diverse domains such as healthcare, environmental protection, and food safety …
analysis in diverse domains such as healthcare, environmental protection, and food safety …
Smartphone-assisted colorimetric sensor arrays based on nanozymes for high throughput identification of heavy metal ions in salmon
S Wu, MA Khan, T Huang, X Liu, R Kang… - Journal of Hazardous …, 2024 - Elsevier
The rapid, precise, and high-throughput identification of multiple heavy metals ions holds
immense importance in ensuring food safety and promoting public health. This study …
immense importance in ensuring food safety and promoting public health. This study …
Machine learning-assisted fluorescence sensor array for qualitative and quantitative analysis of pyrethroid pesticides
M Li, Q Pan, J Wang, Z Wang, C Peng - Food chemistry, 2024 - Elsevier
The simultaneous detection of multiple residues of pyrethroid pesticides (PPs) on
vegetables and fruits is still challenging using traditional nanosensing methods due to the …
vegetables and fruits is still challenging using traditional nanosensing methods due to the …
Machine learning supported single-stranded DNA sensor array for multiple foodborne pathogenic and spoilage bacteria identification in milk
Ensuring food safety through rapid and accurate detection of pathogenic bacteria in food
products is a critical challenge in the food supply chain. In this study, a non-specific optical …
products is a critical challenge in the food supply chain. In this study, a non-specific optical …
Inspired by human olfactory system: Deep-learning-assisted portable chemo-responsive dye-based odor sensor array for the rapid sensing of shrimp and fish …
C Jiang, AJX Guo, Y Li, Y Wang, J Sun, Z Chen… - Chemical Engineering …, 2024 - Elsevier
Colorimetric sensor arrays (CSAs) can detect the volatile organic compounds (VOCs)
produced during food storage, enabling odor visualization for freshness monitoring. Herein …
produced during food storage, enabling odor visualization for freshness monitoring. Herein …
Advances in Machine Learning Processing of Big Data from Disease Diagnosis Sensors
S Lu, J Yang, Y Gu, D He, H Wu, W Sun, D Xu, C Li… - ACS …, 2024 - ACS Publications
Exploring accurate, noninvasive, and inexpensive disease diagnostic sensors is a critical
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …
task in the fields of chemistry, biology, and medicine. The complexity of biological systems …
Intelligent vegetable freshness monitoring system developed by integrating eco-friendly fluorescent sensor arrays with deep convolutional neural networks
D Wang, M Zhang, Q Zhu, B Adhikari - Chemical Engineering Journal, 2024 - Elsevier
Given the perishable and seasonal nature of vegetables, monitoring their freshness is
essential to ensure food safety and reduce waste. Currently, there are limited packaging …
essential to ensure food safety and reduce waste. Currently, there are limited packaging …
[HTML][HTML] Nanosensor-enabled detection and identification of intracellular bacterial infections in macrophages
Opportunistic bacterial pathogens can evade the immune response by residing and
reproducing within host immune cells, including macrophages. These intracellular infections …
reproducing within host immune cells, including macrophages. These intracellular infections …
Elevating nanomaterial optical sensor arrays through the integration of advanced machine learning techniques for enhancing visual inspection of food quality and …
Food quality and safety problems caused by inefficient control in the food chain have
significant implications for human health, social stability, and economic progress and optical …
significant implications for human health, social stability, and economic progress and optical …