AIMC Topic: Ascorbic Acid
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Predicting mass transfer activation energy and physicochemical properties of dried onion using numerical modeling and artificial intelligence.
Scientific reports
Jun 3, 2025
The quality of the onion slices was statistically evaluated based on the variables of drying conditions, considering the following characteristics: drying time, color, shrinkage, water activity, and rehydration ratio, critical parameters in evaluatin...
Comparative analysis and investigation of ultrasonication on juice yield and bioactive compounds of kinnow fruit using RSM and ANN models.
Scientific reports
Mar 21, 2025
Ultrasonication (US) is a promising non-thermal technique widely applied in the food sector for improving the extraction process and preserving nutrients. Kinnow fruits have yields of 40-60% juice; the rest of the parts are discarded as waste. The st...
Back Propagation Artificial Neural Network Enhanced Accuracy of Multi-Mode Sensors.
Biosensors
Feb 26, 2025
The detection of small molecules is critical in many fields, but traditional electrochemical detection methods often exhibit limited accuracy. The construction of multi-mode sensors is a common strategy to improve detection accuracy. However, most ex...
Optimization of dried garlic physicochemical properties using a self-organizing map and the development of an artificial intelligence prediction model.
Scientific reports
Jan 24, 2025
The experiments were conducted at different levels of infrared power, airflow, and temperature. The relationships between the input process factors and response factors' physicochemical properties of dried garlic were optimized by a self-organizing m...
Quantification of L-lactic acid in human plasma samples using Ni-based electrodes and machine learning approach.
Talanta
Dec 30, 2024
This work presents a robust strategy for quantifying overlapping electrochemical signatures originating from complex mixtures and real human plasma samples using nickel-based electrochemical sensors and machine learning (ML). This strategy enables th...
Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries.
Journal of the science of food and agriculture
Sep 18, 2024
BACKGROUND: Strawberry is a rich source of antioxidants, including ascorbic acid (ASA) and polyphenols, which have numerous health benefits. Antioxidant content and activity are often determined manually using laboratory equipment, which is destructi...
Infusion of active compound into sliced button mushrooms through vacuum impregnation to improve functionality: Comparing response surface methodology and artificial neural network.
Journal of food science
Jun 26, 2024
The present study explores the infusion of active compounds (ascorbic acid and calcium lactate) into sliced button mushrooms (Agaricus bisporus) to increase the nutritional value and reduce the browning effect of sliced mushrooms using the vacuum imp...
Aquoeus Extracts of Daucus Carota (Linn) Protected the Postnatal Developing Cerebellum of Wistar Rats Against Arsenic-Induced Oxidative Stress.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 31, 2021
The neuroprotective effects of the aqueous extract of Daucus carota (Dc) tuber against arsenic-induced oxidative damage on the developing cerebellum of Wistar rats were studied. Twenty-five pregnant rats (110-200g) were divided into five groups (n=5)...
Deep Learning for Voltammetric Sensing in a Living Animal Brain.
Angewandte Chemie (International ed. in English)
Sep 24, 2021
Numerous neurochemicals have been implicated in the modulation of brain function, making them appealing analytes for sensors and diagnostics. However, it is a grand challenge to selectively measure multiple neurochemicals simultaneously in vivo becau...
Development of an artificial neural network as a tool for predicting the chemical attributes of fresh peach fruits.
PloS one
Jul 30, 2021
This investigation aimed to develop a method to predict the total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids contents using surface color values (L*, Hue and chroma), single fruit w...
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