Review of computer-aided methods in fat crystallization studies

IF 1.9 4区 农林科学 Q3 CHEMISTRY, APPLIED
Ang Qi, Lu Zhang
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引用次数: 0

Abstract

With recent improvements in computer performance, computer-aided studies have become increasingly important. Computer-aided methods have been applied in fat crystallization studies for modeling, simulation, optimization, data analysis and visualization. In this paper, various methods, such as molecular dynamic simulation, Monte Carlo, cellular automata modeling, finite element analysis, machine learning and computer vision, are introduced. Applications and advances in mechanism explanation, behavior prediction, process optimization, and so forth, are reviewed for fat crystallization. As a powerful and essential tool, computer-aided study should play an important role in the field of lipid research in the future.

脂肪结晶研究中的计算机辅助方法综述
随着近年来计算机性能的提高,计算机辅助研究变得越来越重要。在脂肪结晶研究中,计算机辅助方法已被用于建模、模拟、优化、数据分析和可视化。本文介绍了各种方法,如分子动力学模拟、蒙特卡罗、细胞自动机建模、有限元分析、机器学习和计算机视觉。回顾了脂肪结晶在机理解释、行为预测、过程优化等方面的应用和进展。作为一种强大而重要的工具,计算机辅助研究未来应在脂质研究领域发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
5.00%
发文量
95
审稿时长
2.4 months
期刊介绍: The Journal of the American Oil Chemists’ Society (JAOCS) is an international peer-reviewed journal that publishes significant original scientific research and technological advances on fats, oils, oilseed proteins, and related materials through original research articles, invited reviews, short communications, and letters to the editor. We seek to publish reports that will significantly advance scientific understanding through hypothesis driven research, innovations, and important new information pertaining to analysis, properties, processing, products, and applications of these food and industrial resources. Breakthroughs in food science and technology, biotechnology (including genomics, biomechanisms, biocatalysis and bioprocessing), and industrial products and applications are particularly appropriate. JAOCS also considers reports on the lipid composition of new, unique, and traditional sources of lipids that definitively address a research hypothesis and advances scientific understanding. However, the genus and species of the source must be verified by appropriate means of classification. In addition, the GPS location of the harvested materials and seed or vegetative samples should be deposited in an accredited germplasm repository. Compositional data suitable for Original Research Articles must embody replicated estimate of tissue constituents, such as oil, protein, carbohydrate, fatty acid, phospholipid, tocopherol, sterol, and carotenoid compositions. Other components unique to the specific plant or animal source may be reported. Furthermore, lipid composition papers should incorporate elements of year­to­year, environmental, and/ or cultivar variations through use of appropriate statistical analyses.
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