AI Medical Compendium Journal:
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

Showing 21 to 30 of 184 articles

Exploring a universal model for predicting blueberry soluble solids content based on hyperspectral imaging and transfer learning to address spatial heterogeneity challenge.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 18, 2025
Accurate assessment of soluble solid content (SSC) in blueberries is crucial for quality evaluation. However, in real production lines, blueberries are usually in random placement and the biological heterogeneity of blueberry parts can lead to spectr...
Fruit Solubility Hyperspectral Imaging Machine Learning Blueberry Plants
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Non-destructive origin and ginsenoside analysis of American ginseng via NIR and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 17, 2025
American ginseng is widely in demand as a famous medicinal herb, but the production conditions affect the content of ginsenosides in American ginseng, which in turn affects its medicinal value. Currently, it remains a challenge to simultaneously iden...
Spectroscopy, Near-Infrared Deep Learning Ginsenosides Panax
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Cost-efficient training of hyperspectral deep learning models for the detection of contaminating grains in bulk oats by fluorescent tagging.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 4, 2025
Computer vision based on instance segmentation deep learning models offers great potential for automating many visual inspection tasks, such as the detection of contaminating grains in bulk oats, a nutrient rich grain which is well-tolerated by peopl...
Deep Learning Edible Grain Hyperspectral Imaging Avena Food Contamination Fluorescent Dyes
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SERS based determination of ceftriaxone, ampicillin, and vancomycin in serum using WS/Au@Ag nanocomposites and a 2D-CNN regression model.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 2, 2025
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and vancomycin plays an important role in the treatment of neonatal sepsis, a common and life-threatening disease in neonates. A highly sensitive surface-enh...
Vancomycin Disulfides Nanocomposites Ceftriaxone Gold Neural Networks, Computer Drug Monitoring Humans Limit of Detection Anti-Bacterial Agents Ampicillin Silver Spectrum Analysis, Raman
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Enhancing surgical precision in squamous cell carcinoma of the head and neck: Hyperspectral imaging and artificial intelligence for improved margin assessment in an ex vivo setting.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 30, 2025
BACKGROUND: Head and neck cancers, constituting 3-5% of all cancer cases, often require surgical resection for optimal outcomes. Achieving complete resection (R0) is crucial, but current methods, relying on white light endoscopy and microscopy, have ...
Margins of Excision Artificial Intelligence Female Aged Humans Neural Networks, Computer Male Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Middle Aged Hyperspectral Imaging
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Alkenyl pheromones: Raman spectroscopic analysis, DFT modeling, and machine learning for stereoisomerism evaluation.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 7, 2025
Alkenyl pheromones are a class of insect sex pheromones that are characterized by the presence of one or more double bonds, which can be either in the E(trans) or Z(cis) configuration. This structural variation is essential in mating, as it influence...
Alkenes Stereoisomerism Sex Attractants Pheromones Animals Spectrum Analysis, Raman Density Functional Theory Machine Learning
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Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 7, 2025
Contamination of wheat by the mycotoxin Deoxynivalenol (DON), produced by Fusarium fungi, poses significant challenges to the quality of crop yield and food safety. Visible and near-infrared (vis-NIR) spectroscopy has emerged as a promising, non-dest...
Machine Learning Flour Food Contamination Triticum Trichothecenes Algorithms Spectroscopy, Near-Infrared
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Trace detection of antibiotics in wastewater using tunable core-shell nanoparticles SERS substrate combined with machine learning algorithms.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 5, 2025
Surface-enhanced Raman scattering (SERS) show great potential for rapid and highly sensitive detection of trace amounts of contamination from the environment in the surface aquatic ecosystem. The widespread use of antibiotics has resulted in serious ...
Least-Squares Analysis Discriminant Analysis Ciprofloxacin Silver Spectrum Analysis, Raman Water Pollutants, Chemical Support Vector Machine Principal Component Analysis Metal Nanoparticles Machine Learning Algorithms Anti-Bacterial Agents Wastewater
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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...
Microalgae Spectrophotometry, Ultraviolet Machine Learning
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Radial SERS acquisition on coffee ring for Serum-based breast cancer diagnosis through Multilayer Perceptron.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 31, 2024
The coffee-ring effect, involving spontaneous solute separation, has demonstrated promising potential in the context of patient serum analysis. In this study, an approach leveraging the coffee-ring-based analyte redistribution was developed for spect...
Spectrum Analysis, Raman Humans Female Gold Serum Albumin, Bovine Metal Nanoparticles Breast Neoplasms Neural Networks, Computer Multilayer Perceptrons
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