Fiber Optics-Based Surface Enhanced Raman Spectroscopy Sensors for Rapid Multiplex Detection of Foodborne Pathogens in Raw Poultry

Chemistry, Analytical Chemistry, Engineering, Electrical Engineering, Medicine, Infectious Diseases, Life Sciences, Bioengineering, Microbiology,
Surface Enhanced Raman Spectroscopy   Foodborne Pathogens   Raw Poultry   Multiplex Detection   Fiber Optics Sensor   Rapid Detection   Food Safety  

Fiber Optics-Based Surface Enhanced Raman Spectroscopy Sensors for Rapid Multiplex Detection of Foodborne Pathogens in Raw Poultry Academic Background Foodborne illnesses are a significant global public health challenge, with Salmonella being one of the leading pathogens causing such diseases. In the United States alone, Salmonella results in 1.35 ...

Dual-functional Cu2O/g-C3N4 Heterojunctions: A High-performance SERS Sensor and Photocatalytic Self-cleaning System for Water Pollution Detection and Remediation

Chemistry, Analytical Chemistry, Materials Chemistry, Catalysis, Environmental Chemistry, Engineering, Environmental Engineering, Materials Science, Inorganic Non-Metallic Materials,
Cu2O/g-C3N4   SERS sensor   photocatalysis   water pollution detection   self-cleaning system   heterojunction   environmental remediation  

Dual-Functional Cu₂O/g-C₃N₄ Heterojunctions: A High-Performance SERS Sensor and Photocatalytic Self-Cleaning System for Water Pollution Detection and Remediation Academic Background With the rapid expansion of industrialization and agricultural activities, water pollution has become a significant global environmental issue. Large quantities of harm...

An Explicit Estimated Baseline Model for Robust Estimation of Fluorophores Using Multiple-Wavelength Excitation Fluorescence Spectroscopy

Physics, Optics, Chemistry, Analytical Chemistry, Medicine, Medical Laboratory Science, Neurology, Neurosurgery, Medical Imaging, Oncology, Life Sciences, Bioengineering,
fluorescence spectroscopy   multiple-wavelength excitation   fluorophores   baseline model   non-linear optics   neuro-oncology   glioma  

Research Background Fluorescence spectroscopy is a widely used method for identifying and quantifying fluorescent substances (fluorophores). However, quantifying the fluorophores of interest becomes challenging when the material contains other fluorophores (baseline fluorophores), especially when the emission spectrum of the baseline is not well-de...

Tandem mass spectrum prediction for small molecules using graph transformers

Chemistry, Analytical Chemistry, Computational Chemistry, Information Science, Artificial Intelligence,
Mass spectrometry   Graph transformer   Small molecules   Fragmentation patterns   Prediction  

This is a paper about MassFormer, a graph transformer model for small molecule mass spectrometry prediction. This research addresses the problem of molecular identification in mass spectrometry data and proposes a novel deep learning approach to predict mass spectra of small molecules. Background: Mass spectrometry (MS) is an analytical technique w...

Assessing the contribution of the chemical exposome to neurodegenerative disease

Assessing the contribution of the chemical exposome to neurodegenerative disease

Chemistry, Analytical Chemistry, Environmental Chemistry, Medicine, Neurology, Life Sciences, Biochemistry, Immunology,
neurodegenerative diseases   exposome   chemicals   Alzheimer's disease   Parkinson's disease  

Assessing the Risks of Chemical Exposures for Neurodegenerative Diseases Introduction In recent years, many environmental chemicals, from solvents to pesticides, have been implicated in the development and progression of neurodegenerative diseases. However, a systematic approach akin to genome-wide association studies, which have identified dozens ...