AIMC Topic: Spectrophotometry

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Predicting Final Restoration Color Using Neural Network Models: The Impact of Substrate Lightness Versus Ceramic Shade, Translucency and Thickness.

Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] Mar 28, 2025
OBJECTIVES: This study aimed to assess the influence of background color, ceramic shade, translucency, and thickness on the color matching of lithium disilicate restorations and to use a neural network model to predict the optimal parameters for shad...
Neural Networks, Computer Color Humans Dental Porcelain Dental Restoration, Permanent Prosthesis Coloring Spectrophotometry Ceramics
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A machine learning approach for rapid early detection of Campylobacter spp. using absorbance spectra collected from enrichment cultures.

PloS one Sep 6, 2024
Enumeration of Campylobacter from environmental waters can be difficult due to its low concentrations, which can still pose a significant health risk. Spectrophotometry is an approach commonly used for fast detection of water-borne pollutants in wate...
Spectrophotometry Campylobacter Rivers Water Microbiology Machine Learning
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Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques.

Scientific reports May 7, 2024
Discriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near infrared...
Macau Zea mays Powders Spectrophotometry Flour Glycine max Spectroscopy, Near-Infrared Food Contamination Machine Learning
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Lesion segmentation using 3D scan and deep learning for the evaluation of facial portwine stain birthmarks.

Photodiagnosis and photodynamic therapy Feb 28, 2024
BACKGROUND: Portwine stain (PWS) birthmarks are congenital vascular malformations. The quantification of PWS area is an important step in lesion classification and treatment evaluation.
Imaging, Three-Dimensional Face Spectrophotometry Humans Deep Learning Port-Wine Stain
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Rapid simultaneous analysis of anti human immunodeficiency virus drugs in pharmaceutical formulation by smart spectrophotometry based on multivariate calibration and least squares support vector machine methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 31, 2022
In this study, two chemometrics methods, including partial least squares regression (PLS) and least squares support vector machine (LS-SVM) were applied for the simultaneous determination of zidovudine (ZDV) and lamivudine (LMV) in synthetic mixtures...
Drug Compounding Calibration Zidovudine Spectrophotometry Lamivudine HIV Support Vector Machine Least-Squares Analysis
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Nature inspired computation and ensemble neural network to build a robust model for spectral data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 9, 2021
UV spectrophotometry was introduced for simultaneous determination of Itraconazole (ITZ) and Secnidazole (SEZ) in their mixture without any prior separation. In this study, fourteen nature-inspired algorithms combined with partial least squares (PLS)...
Neural Networks, Computer Algorithms Calibration Spectrophotometry Least-Squares Analysis
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Chemometric quality assessment of Paracetamol and Phenylephrine Hydrochloride with Paracetamol impurities; comparative UV-spectrophotometric implementation of four predictive models.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 2, 2021
Spectrophotometric data analysis using multivariate approaches has many useful applications. One of these applications is the analysis of active ingredients in presence of impurities. Four chemometric-assisted spectrophotometric methods, namely, prin...
Neural Networks, Computer Acetaminophen Spectrophotometry Least-Squares Analysis Phenylephrine
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Investigation of spectrophotometric simultaneous absorption of Salmeterol and Fluticasone in Seroflo spray by continuous wavelet transform and radial basis function neural network methods.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 17, 2021
In this research, the simultaneous absorption of Salmeterol (SAL) and Fluticasone (FLU) in Seroflo spray was investigated using a spectrophotometric device via employing continuous wavelet transform (CWT) and radial basis function neural network (RBF...
Wavelet Analysis Spectrophotometry Fluticasone Salmeterol Xinafoate Neural Networks, Computer
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Simultaneous spectrophotometric quantitative analysis of velpatasvir and sofosbuvir in recently approved FDA pharmaceutical preparation using artificial neural networks and genetic algorithm artificial neural networks.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 15, 2021
Two chemometric assisted spectrophotometric models were applied for the quantitative analysis of velpatasvir and sofosbuvir in their newly FDA approved pharmaceutical dosage form. The UV absorption spectra of velpatasvir and sofosbuvir showed certain...
Carbamates Spectrophotometry Sofosbuvir Heterocyclic Compounds, 4 or More Rings Humans Antiviral Agents Neural Networks, Computer Tablets
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Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection.

Scientific reports Jan 12, 2021
Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second most deadly. Recent research efforts have focused on developing non-invasive techniques for CRC detection. In this study, we evaluated the diagnostic capabilitie...
Female Spectrophotometry Aged Support Vector Machine Humans Discriminant Analysis Algorithms Colorectal Neoplasms Male Middle Aged Aged, 80 and over Adult
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