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Related Concept Videos

Biosynthesis of Polysaccharides01:26

Biosynthesis of Polysaccharides

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Polysaccharides such as glycogen and starch are synthesized from nucleoside diphosphate sugars, primarily uridine diphosphate glucose (UDPG) and adenosine diphosphate glucose (ADPG). These activated glucose donors act as key intermediates in carbohydrate metabolism and biosynthesis. UDPG primarily involves glycogen synthesis in animals and many bacteria, while ADPG plays a fundamental role in starch synthesis in plants and certain bacteria.UDPG is formed when glucose-1-phosphate reacts with...
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Production of Organic Acids01:25

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Lactic acid, an important organic acid extensively applied in food, pharmaceutical, and biodegradable polymer industries, is primarily produced via microbial fermentation. This method is favored over chemical synthesis due to its environmental sustainability and capacity for enantiomerically pure product formation. Among various microbial processes, the fermentation of starch-based substrates stands out due to the abundance and renewability of raw materials like corn and potatoes.Hydrolysis of...
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Carbohydrates, proteins, and fats are the primary macronutrients in the human diet. However, carbohydrates are the most favored source of energy in the body. They can be found in a wide variety of foods, including whole grains, fruit, and vegetables, in various forms, such as sugars, starch, and dietary fiber. Based on their structure, carbohydrates are classified into three main classes— monosaccharides, disaccharides, and polysaccharides. The body's cells can only utilize simple...
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Carbohydrates are an essential part of the diet in humans and animals. Grains, fruits, and vegetables are natural sources of carbohydrates that provide energy to the body, particularly through glucose, a simple sugar that is a component of starch and an ingredient in many staple foods. The stoichiometric formula (CH2O)n, where n is the number of carbons in the molecule represents carbohydrates. In other words, the ratio of carbon to hydrogen to oxygen is 1:2:1 in carbohydrate molecules. This...
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Protein glycosylation starts in the ER lumen and continues in the Golgi apparatus. Glycosyltransferases catalyze the addition of sugar molecules or glycosylation of proteins. Usually, these enzymes add sugars to the hydroxyl groups of selected serine or threonine residues to form O-linked glycans or the amino groups of asparagine residues to form N-linked glycans. Different positions on the same polypeptide chain can contain differently linked glycans.
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Sugar (a simple carbohydrate) metabolism (chemical reactions) is a classic example of the many cellular processes that use and produce energy. Living things consume sugar as a major energy source because sugar molecules have considerable energy stored within their bonds. Consumed carbohydrates have their origins in photosynthesizing organisms like plants. During photosynthesis, plants use the energy of sunlight to convert carbon dioxide gas into sugar molecules, like glucose. Because this...
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Artificial Intelligence in Functional Polysaccharides for Food Applications: Process Optimization, Structure-Function

Zhen Cao1, Ting Chen1, Jiayan Xie1

  • 1State Key Laboratory of Food Science and Resources, Nanchang University, Nanchang 330047, China.

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Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing functional polysaccharide research by optimizing production and uncovering structure-function relationships. AI accelerates the discovery and design of novel food-grade polysaccharides with tailored functionalities.

Keywords:
artificial intelligencepolysaccharidesrational designtranslational challenges

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Area of Science:

  • Food Science and Technology
  • Biotechnology
  • Computational Chemistry

Background:

  • Functional polysaccharides are vital food ingredients, but their complex structures and poorly understood relationships between structure and function hinder efficient development.
  • Current production methods for functional polysaccharides often rely on inefficient trial-and-error approaches, limiting innovation and scalability.

Purpose of the Study:

  • To provide an integrated overview of how artificial intelligence (AI) is transforming the field of functional polysaccharide research for food applications.
  • To outline a framework for AI-driven advancements in polysaccharide extraction, analysis, mechanism elucidation, and design for targeted food functionalities.

Main Methods:

  • Review and synthesis of recent advances in AI applications for functional polysaccharide research.
  • Categorization of AI contributions into efficiency amplification, mechanism-informed hypothesis generation, and design assistance.
  • Discussion of AI techniques including machine learning, deep learning (Deep-QSAR), graph-based learning, and interpretable modeling.

Main Results:

  • AI enhances efficiency in polysaccharide extraction and fermentation optimization through machine learning models.
  • AI facilitates rapid analysis of polysaccharides when coupled with spectroscopic data.
  • AI models are beginning to elucidate quantitative structure-function relationships, including microbiome interactions, and aid in precision-guided polysaccharide engineering and formulation.

Conclusions:

  • AI offers a transformative roadmap for accelerating the discovery and application of functional polysaccharides in the food industry.
  • Addressing challenges such as data scarcity, standardization, model interpretability, and regulatory acceptance is crucial for the successful translation of AI in this field.
  • AI-guided strategies are essential for overcoming current limitations and unlocking the full potential of functional polysaccharides.