AIMC Topic: Spectrophotometry, Ultraviolet
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UV-Vis spectroscopy coupled with firefly algorithm-enhanced artificial neural networks for the determination of propranolol, rosuvastatin, and valsartan in ternary mixtures.
Scientific reports
Mar 29, 2025
In the present study, a simple, rapid and cost-effective analytical method was developed for the simultaneous determination of three commonly prescribed cardiovascular drugs: propranolol, rosuvastatin and valsartan. The method employed artificial neu...
Rapid diagnosis of lung cancer by multi-modal spectral data combined with deep learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Mar 6, 2025
Lung cancer is a malignant tumor that poses a serious threat to human health. Existing lung cancer diagnostic techniques face the challenges of high cost and slow diagnosis. Early and rapid diagnosis and treatment are essential to improve the outcome...
Machine learning aided UV absorbance spectroscopy for microbial contamination in cell therapy products.
Scientific reports
Mar 4, 2025
We demonstrate the feasibility of machine-learning aided UV absorbance spectroscopy for in-process microbial contamination detection during cell therapy product (CTP) manufacturing. This method leverages a one-class support vector machine to analyse ...
Biological contaminants analysis in microalgae culture by UV-vis spectroscopy and machine learning.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jan 2, 2025
This study elucidates the utility and efficacy of UV-visible spectroscopy for the detection and characterization of biological contaminants within microalgae cultures, augmented by machine learning algorithms. Biological contamination, exemplified by...
Detection and quantification of groundnut oil adulteration with machine learning using a comparative approach with NIRS and UV-VIS.
Scientific reports
Sep 9, 2024
Groundnut oil is known as a good source of essential fatty acids which are significant in the physiological development of the human body. It has a distinctive fragrant making it ideal for cooking which contribute to its demand on the market. However...
Ppb-Level Ammonia Sensor for Exhaled Breath Diagnosis Based on UV-DOAS Combined with Spectral Reconstruction Fitting Neural Network.
ACS sensors
Jul 30, 2024
Ammonia (NH) in exhaled breath (EB) has been a biomarker for kidney function, and accurate measurement of NH is essential for early screening of kidney disease. In this work, we report an optical sensor that combines ultraviolet differential optical ...
Prediction of Vacuum Ultraviolet/Ultraviolet Gas-Phase Absorption Spectra Using Molecular Feature Representations and Machine Learning.
Journal of chemical information and modeling
Jun 28, 2024
Ultraviolet (UV) absorption spectroscopy is a widely used tool for quantitative and qualitative analyses of chemical compounds. In the gas phase, vacuum UV (VUV) and UV absorption spectra are specific and diagnostic for many small molecules. An accur...
Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple scenarios.
Water research
May 2, 2024
Membrane breakage can lead to filtration failure, which allows harmful substances to enter the effluent, posing potential hazards to human health and the environment. This study is an innovative combination of fluorescence and ultraviolet-visible (UV...
UV imaging for the rapid at-line content determination of different colourless APIs in their tablets with artificial neural networks.
International journal of pharmaceutics
May 1, 2024
This paper presents a novel high-resolution and rapid (50 ms) UV imaging system, which was used for at-line, non-destructive API content determination of tablets. For the experiments, amlodipine and valsartan were selected as two colourless APIs with...
UV-Visible Absorption Spectra of Solvated Molecules by Quantum Chemical Machine Learning.
Journal of chemical theory and computation
Aug 1, 2022
Predicting UV-visible absorption spectra is essential to understand photochemical processes and design energy materials. Quantum chemical methods can deliver accurate calculations of UV-visible absorption spectra, but they are computationally expensi...
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