AIMC Topic: Spectrometry, Fluorescence

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Fluorescence spectroscopy combined with multilayer perceptron deep learning to identify the authenticity of monofloral honey-Rape honey.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Nov 10, 2024
Honey authenticity is critical to honey quality. The development of a quick, easy, and non-destructive technique for determining the authenticity of honey encourages an improvement in honey quality. Here, the authenticity of monofloral honey-rape hon...
Deep Learning Spectrometry, Fluorescence Honey Neural Networks, Computer
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A novel four-modal nano-sensor based on two-dimensional Mxenes and fully connected artificial neural networks for the highly sensitive and rapid detection of ochratoxin A.

Talanta Nov 5, 2024
Timely and accurate on-site detection of ochratoxin A (OTA) is extremely important for global public health. In this study, a fluorescence/colorimetric biosensor based on TiC nano-materials (TiC-NMS) and a machine-learning (ML) based fluorescence/col...
Nanostructures DNA, Single-Stranded Ochratoxins Spectrometry, Fluorescence Titanium Neural Networks, Computer Colorimetry Food Contamination Limit of Detection Biosensing Techniques
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Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application.

Talanta Oct 21, 2024
Endometrial cancer (EC) is the most prevalent cancer within the female reproductive system in developed countries. Despite its high incidence, there is currently no established laboratory screening test for EC, making early detection challenging. Thi...
Humans Female Machine Learning Aged Algorithms Biomarkers, Tumor Principal Component Analysis Fluorescence Middle Aged Spectrometry, Fluorescence Early Detection of Cancer Endometrial Neoplasms
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Leveraging Broad-Spectrum Fluorescence Data and Machine Learning for High-Accuracy Bacterial Species Identification.

Journal of biophotonics Oct 17, 2024
Rapid and accurate identification of bacterial species is essential for the effective treatment of infectious diseases and suppression of antibiotic-resistant strains. The unique autofluorescence properties of bacterial cells are exploited for rapid ...
Machine Learning Bacteria Spectrometry, Fluorescence Bayes Theorem
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Spatially Resolved Fibre-Optic Probe for Cervical Precancer Detection Using Fluorescence Spectroscopy and PCA-ANN-Based Classification Algorithm: An In Vitro Study.

Journal of biophotonics Oct 8, 2024
Cervical cancer can be detected at an early stage through the changes occurring in biochemical and morphological properties of epithelium layer. Fluorescence spectroscopy has the ability to identify these subtle changes non-invasively and in real tim...
Algorithms Female Uterine Cervical Neoplasms Humans Neural Networks, Computer Spectrometry, Fluorescence Fiber Optic Technology Optical Fibers Principal Component Analysis Precancerous Conditions
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Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil.

Scientific reports Sep 27, 2024
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, with applications in environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learning, in particular...
Olive Oil Neural Networks, Computer Algorithms Oxidation-Reduction Spectrometry, Fluorescence Deep Learning
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A MOF-on-MOF heterostructure ratiometric/colorimetric dual-mode fluorescence sensor based on support vector machine for detecting tetracyclines in animal-derived foods.

Food chemistry Jul 31, 2024
The misuse of tetracyclines in livestock production poses significant health risks. Thus, establishing convenient detection methods to replace complex laboratory tests for food safety is crucial. In this study, a heterostructure Zn-BTC/IRMOF-3 (denot...
Anti-Bacterial Agents Animals Spectrometry, Fluorescence Colorimetry Support Vector Machine Food Contamination Metal-Organic Frameworks Fluorescence Limit of Detection Tetracyclines
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A supramolecular fluorescence sensor array for the differentiation of multiple anions and prediction of iodine in artificial urine using machine learning.

Mikrochimica acta Jun 17, 2024
The simultaneous discrimination and detection of multiple anions in an aqueous solution has been a major challenge due to their structural similarity and low charge radii. In this study, we have constructed a supramolecular fluorescence sensor array ...
Iodine Fluorescent Dyes Toothpastes Limit of Detection Fluorides Spectrometry, Fluorescence Machine Learning Anions Discriminant Analysis
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Utilizing machine learning algorithms for precise discrimination of glycosuria in fluorescence spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 1, 2024
Fluorescence spectroscopy coupled with a random forest machine learning algorithm offers a promising non-invasive approach for diagnosing glycosuria, a condition characterized by excess sugar in the urine of diabetic patients. This study investigated...
Principal Component Analysis Spectrometry, Fluorescence Glycosuria Male Diabetes Mellitus Machine Learning Algorithms Female Humans
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Deep learning models with optimized fluorescence spectroscopy to advance freshness of rainbow trout predicting under nonisothermal storage conditions.

Food chemistry May 22, 2024
This study established long short-term memory (LSTM), convolution neural network long short-term memory (CNN_LSTM), and radial basis function neural network (RBFNN) based on optimized excitation-emission matrix (EEM) from fish eye fluid to predict fr...
Food Storage Oncorhynchus mykiss Deep Learning Neural Networks, Computer Spectrometry, Fluorescence Animals Seafood
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