Minimization of Isoamylase Interference in Size‐Exclusion Chromatography of Debranched Starch Molecular Structure

In recent years, size exclusion chromatography (SEC) has gained valuable and impactable recognition among various chromatographic techniques. Also addressed as other names, viz. gel permeation chromatography, steric-exclusion chromatography, etc., SEC is typically taken into consideration for the fractionation and molecular weight determination of biomolecules and large macromolecules (proteins and polymers) using porous particles. A homogenous mixture of molecules dispersed in the mobile phase is introduced to the chromatographic column, which provides a solid support in the form of microscopic beads (the stationary phase). The beads act as “sieves” and purify small molecules, which become temporarily trapped inside the pores. Some of the advantages that SEC offers over other chromatographic techniques are short analysis time, no sample loss, good sensitivity, and requirement for less amount of mobile phase. In the proposed manuscript, we have deliberated various proteomic applications of size exclusion chromatography, which include the isolation of extracellular vesicles in cancer, isolation of human synovial fluid, separation of monoclonal antibodies, as well as several tandem techniques, such as deep glycoproteomic analysis using SEC-LC-MS/MS, analysis of mammalian polysomes in cells and tissues using tandem MS-SEC, SEC-SWATH-MS profiling of the proteome with a focus on complexity, etc.

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Recent Advancements and Applications of Size Exclusion Chromatography in Modern Analysis

Bhatia

Kumari

Chopra

2023

CAC

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Application of computational fluid dynamics simulation in predicting food protein denaturation: numerical studies on selected food products - a review*

Szpicer,

Binkowska,

Stelmasiak

et al. 2023

Animal Science Papers and Reports

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Protein denaturation is a common process in the food industry, which can impact food quality and safety. Computational Fluid Dynamics (CFD) is a powerful tool that can be used to predict protein denaturation in food products. In this review article, we present an overview of the application of CFD simulation in predicting protein denaturation in food products. We discuss the factors that influence protein denaturation, the importance of predicting protein denaturation, and the various numerical methods used in protein denaturation studies. The main focus of the article is the use of CFD simulation in predicting protein denaturation in selected food products, such as milk, meat, and eggs. We provide examples of numerical studies that have been conducted on these products, and we discuss the results and implications of these studies. The use of CFD simulation can help to optimize food processing conditions, improve food quality and safety, and reduce waste and costs in the food industry. Overall, this review article highlights the importance of using advanced computational tools such as CFD simulation in food science, research and development. Highlights The use of CFD simulation can predict protein denaturation in food products. Numerical studies were conducted on selected food products to analyze protein denaturation. CFD simulation provides a powerful tool for optimizing food processing technologies. The results from the numerical studies can be used to improve the quality and safety of food products. The application of CFD simulation can lead to more efficient and sustainable food production practices.

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Minimization of Isoamylase Interference in Size‐Exclusion Chromatography of Debranched Starch Molecular Structure

Cited by 2 publications

References 21 publications

Recent Advancements and Applications of Size Exclusion Chromatography in Modern Analysis

Recent Advancements and Applications of Size Exclusion Chromatography in Modern Analysis

Application of computational fluid dynamics simulation in predicting food protein denaturation: numerical studies on selected food products - a review*

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