AIMC Topic: Beverages

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Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence.

The international journal of behavioral nutrition and physical activity May 26, 2023
The World Health Organization recommends that member states enact policies to limit unhealthy food marketing to children. Chile enacted relatively stringent laws that restrict unhealthy food marketing to children in two phases, beginning in 2016. Dil...
Artificial Intelligence Child Internet Humans Marketing Beverages Television Food Industry Advertising Food
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Artificial intelligence-based approaches for traditional fermented alcoholic beverages' development: review and prospect.

Critical reviews in food science and nutrition Oct 31, 2022
Traditional fermented alcoholic beverages (TFABs) have gained widespread acceptance and enjoyed great popularity for centuries. COVID-19 pandemics lead to the surge in health demand for diet, thus TFABs once again attract increased focus for the heal...
Artificial Intelligence Beverages Alcoholic Beverages Diet Big Data
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Development and validation of the Alcoholic Beverage Identification Deep Learning Algorithm version 2 for quantifying alcohol exposure in electronic images.

Alcoholism, clinical and experimental research Oct 15, 2022
BACKGROUND: Seeing alcohol in media has been demonstrated to increase alcohol craving, impulsive decision-making, and hazardous drinking. Due to the exponential growth of (social) media use it is important to develop algorithms to quantify alcohol ex...
Alcoholic Beverages Beer Deep Learning Ethanol Beverages Electronics
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Toward in-process technology-aided automation for enhanced microbial food safety and quality assurance in milk and beverages processing.

Critical reviews in food science and nutrition Sep 6, 2022
Ensuring the safety of food products is critical to food production and processing. In food processing and production, several standard guidelines are implemented to achieve acceptable food quality and safety. This notwithstanding, due to human limit...
Humans Food Microbiology Beverages Milk Artificial Intelligence Technology Animals Automation Food Handling Food Safety
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An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.

Nutrients Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Nutrition Policy Fast Foods Nutritional Status Feeding Behavior Food Labeling Australia Beverages Dietary Fiber Nutrients Nutritive Value Automation Energy Intake Food Packaging Food Analysis Algorithms Diet Humans Machine Learning
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Sensory and flavor-aroma profiles of passion fruit juice fermented by potentially probiotic Lactiplantibacillus plantarum CCMA 0743 strain.

Food research international (Ottawa, Ont.) Sep 9, 2021
Several non-dairy probiotic beverages are already available to consumers and have been considered suitable carriers for probiotic bacteria. This study aimed to investigate the effect of Lactiplantibacillus plantarum CCMA 0743 in single and co-culture...
Probiotics Beverages Fermentation Odorants Fruit and Vegetable Juices
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Assessment of lemon juice quality and adulteration by ultra-high performance liquid chromatography/triple quadrupole mass spectrometry with interactive and interpretable machine learning.

Journal of food and drug analysis Jun 15, 2021
A total of 81 lemon juices samples were detected using an optimized UHPLC-QqQ-MS/MS method and colorimetric assays. Concentration of 3 organic acids (ascorbic acid, malic acid and citric acid), 3 saccharides (glucose, fructose and sucrose) and 6 phen...
Beverages Machine Learning Chromatography, High Pressure Liquid Bayes Theorem Tandem Mass Spectrometry
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Deep Neural Networks for Image-Based Dietary Assessment.

Journal of visualized experiments : JoVE Mar 13, 2021
Due to the issues and costs associated with manual dietary assessment approaches, automated solutions are required to ease and speed up the work and increase its quality. Today, automated solutions are able to record a person's dietary intake in a mu...
Image Processing, Computer-Assisted Smartphone Food Analysis Beverages Humans Neural Networks, Computer Nutrition Assessment
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Nanoemulsions and acidified milk gels as a strategy for improving stability and antioxidant activity of yarrow phenolic compounds after gastrointestinal digestion.

Food research international (Ottawa, Ont.) Dec 18, 2019
The aim of this study was to improve the stability and antioxidant activity of yarrow phenolic compounds upon an in vitro simulated gastrointestinal digestion. Therefore, two types of caseins-based delivery systems, sodium caseinate stabilized nanoem...
Beverages Animals Hydrogen-Ion Concentration Nanotechnology Emulsions Achillea In Vitro Techniques Digestion Milk Antioxidants Food Handling Gels Phenols
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Cocoa flavanol effects on markers of oxidative stress and recovery after muscle damage protocol in elite rugby players.

Nutrition (Burbank, Los Angeles County, Calif.) Nov 24, 2018
OBJECTIVES: Strenuous exercise can impair athletic performance due to muscular inflammation and oxidative stress. Antioxidants such as cocoa flavanols have been used as a supplement to prevent oxidative stress; however, the benefits of dietary antiox...
Oxidative Stress Muscle, Skeletal Double-Blind Method Beverages Football Athletic Performance Adult Male Adolescent Humans Biomarkers Young Adult Athletes Flavonols Cacao
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