AIMC Topic: Ascorbic Acid

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Formulation of a mixed fruit beverage using fuzzy logic optimization of sensory data and designing its batch thermal pasteurization process.

Journal of food science Jan 12, 2021
The study aims to formulate a mixed fruit beverage through sensory analysis, and the composition was optimized using a fuzzy logic algorithm. The fuzzy optimization algorithm was developed using a modified Takagi and Sugeno's approach, polynomial mix...
Hot Temperature Cocos Pasteurization Phyllanthus emblica Ananas Fruit Fruit and Vegetable Juices Food Handling Antioxidants Fuzzy Logic Ascorbic Acid
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Vitamin C evaluation in foods for infants and young children by a rapid and accurate analytical method.

Food chemistry Nov 14, 2017
The validation of a rapid, precise (RSD < 4.6%), reliable and sensitive (LOD = 0.026 µg/mL) liquid chromatography method for vitamin C quantification in foods (infant formulae, n = 4; follow-on formulae, n = 3; processed cereal based-foods, n = 7; an...
Infant Child, Preschool Chromatography, Liquid Edible Grain Vitamins Ascorbic Acid Infant Food Humans
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Flexible next-generation robotic surgical system for transoral endoscopic hypopharyngectomy: A comparative preclinical study.

Head & neck Nov 11, 2017
BACKGROUND: The purpose of this cadaveric study was to determine the efficacy of a flexible, next-generation robotic surgical system for transoral robotic hypopharyngectomy.
Natural Orifice Endoscopic Surgery Equipment Safety Pliability Hypopharynx Cadaver Ascorbic Acid Mouth Humans Adult Sensitivity and Specificity Flavonoids Robotics Equipment Design Robotic Surgical Procedures
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Antioxidants from diet or supplements do not alter inflammatory markers in adults with cardiovascular disease risk. A pilot randomized controlled trial.

Nutrition research (New York, N.Y.) Nov 2, 2017
Antioxidants have been reported to have anti-inflammatory effects, but there is a lack of research comparing food to supplement antioxidant sources. The aim of this study was to determine if increases in intake of foods naturally rich in antioxidants...
Tocopherols Vitamins Intercellular Adhesion Molecule-1 Ascorbic Acid Carotenoids Double-Blind Method Single-Blind Method Anti-Inflammatory Agents Female Adult Male Cardiovascular Diseases Humans Interleukin-6 Biomarkers Antioxidants Inflammation Dietary Supplements Chemokine CCL2 Middle Aged Diet Pilot Projects Selenium
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Comparing the analytical performances of Micro-NIR and FT-NIR spectrometers in the evaluation of acerola fruit quality, using PLS and SVM regression algorithms.

Talanta Dec 21, 2016
The main goal of this study was to investigate the analytical performances of a state-of-the-art device, one of the smallest dispersion NIR spectrometers on the market (MicroNIR 1700), making a critical comparison with a benchtop FT-NIR spectrometer ...
Malpighiaceae Support Vector Machine Ascorbic Acid Fruit Food Quality Algorithms Spectroscopy, Near-Infrared
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Simultaneous determination of ascorbic acid and caffeine in commercial soft drinks using reversed-phase ultraperformance liquid chromatography.

Journal of food and drug analysis Nov 6, 2016
A new reversed-phase ultraperformance liquid chromatography method with a photodiode array detector was developed for the quantification of ascorbic acid (AA) and caffeine (CAF) in 11 different commercial drinks consisting of one energy drink and 10 ...
Reproducibility of Results Chromatography, Liquid Chromatography, High Pressure Liquid Ascorbic Acid Chromatography, Reverse-Phase Caffeine Carbonated Beverages
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A Chemistry-Informed Generative Deep Learning Approach for Enhancing Voltammetric Neurochemical Sensing in Living Mouse Brain.

Journal of the American Chemical Society May 21, 2025
Exploring the time-resolved dynamics of neurochemicals is essential for deciphering neuronal functions, intercellular communication, and neurophysiological or pathological mechanisms. However, the complex interplay among neurochemicals between neuroc...
Mice Electrochemical Techniques Ascorbic Acid Dopamine Brain Animals Deep Learning
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Learning genotype-phenotype associations from gaps in multi-species sequence alignments.

Briefings in bioinformatics Nov 22, 2024
Understanding the genetic basis of phenotypic variation is fundamental to biology. Here we introduce GAP, a novel machine learning framework for predicting binary phenotypes from gaps in multi-species sequence alignments. GAP employs a neural network...
Genotype Genetic Association Studies Ascorbic Acid Sequence Alignment Phenotype Animals Phylogeny L-Gulonolactone Oxidase Humans Neural Networks, Computer Machine Learning
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Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.

European review for medical and pharmacological sciences Nov 1, 2020
Researchers have found many similarities between the 2003 severe acute respiratory syndrome (SARS) virus and SARS-CoV-19 through existing data that reveal the SARS's cause. Artificial intelligence (AI) learning models can be created to predict drug s...
Immunosuppressive Agents Drug Repositioning Vitamins Ascorbic Acid Drug Development Antibodies, Monoclonal, Humanized Drug Combinations Lopinavir Chloroquine Hydroxychloroquine Adenosine Monophosphate Ritonavir COVID-19 Drug Treatment Ribavirin Alanine Humans Artificial Intelligence Machine Learning COVID-19 Deep Learning Antiviral Agents COVID-19 Vaccines
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Effectiveness and safety of a new regimen of polyethylene glycol plus ascorbic acid for same-day bowel cleansing in constipated patients.

Acta gastro-enterologica Belgica Jan 1, 2018
BACKGROUND AND STUDY AIMS: In an exploratory study we compared a new regimen of low-volume polyethylene glycol plus ascorbic acid (PEG-Asc) with the standard regimen for same-day bowel cleansing in constipated patients.
Ascorbic Acid Constipation Cathartics Humans Colonoscopy Polyethylene Glycols
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