分析瓜尔胶及其衍生物的拓扑描述符以预测碳水化合物的物理性质

IF 3.7 2区 化学 Q2 AUTOMATION & CONTROL SYSTEMS
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引用次数: 0

摘要

瓜尔胶是一种非离子多糖,在自然界中含量丰富。它可在药物配方、食品或化妆品中用作增稠剂、稳定剂或乳化剂。它能形成粘性溶液,因此可用于给药系统、控释配方和口服给药基质。通过图不变式研究化学结构备受关注。拓扑描述符是与分子结构相关联的数字,能够预测底层结构的某些物理和化学特性。本文计算了瓜尔胶及其化学衍生物的谐波指数、逆和 indeg 指数、第三萨格勒布指数、超萨格勒布指数、西格玛指数、重构第一萨格勒布指数、重构乘法第一萨格勒布指数、谐波算术指数和原子键和连通性指数。最后,通过使用直线、抛物线和对数回归模型,检验了这些拓扑描述符对不同碳水化合物(单糖、双糖和多糖)的化学适用性。结果表明,这些拓扑描述符有助于预测两种物理性质,即密度和分子量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing topological descriptors of guar gum and its derivatives for predicting physical properties in carbohydrates

Guar gum is a non-ionic polysaccharide found in abundance in nature. It may be used as a thickening agent, stabilizer, or emulsifier in pharmaceutical formulations, food products, or cosmetics. Its ability to form viscous solutions makes it useful in drug delivery systems, controlled release formulations, and as a matrix for oral drug delivery. The investigation of chemical structures through graph invariants is of great concern. Topological descriptors are numerical numbers associated with the molecular structure and have the ability to predict certain physical and chemical properties of the underlying structure. In this paper, we have calculated the harmonic index, the inverse sum indeg index, the third Zagreb index, the Hyper Zagreb index, the sigma index, the reformulated first Zagreb index, the reformulated multiplicative first Zagreb index, the Harmonic–arithmetic index, and the Atom Bond sum connectivity indices of guar gum and its chemical derivatives. Finally, the chemical applicability of these topological descriptors is checked for different carbohydrates (monosaccharides, disaccharides, and polysaccharides) by using straight-line, parabolic and logarithmic regression models. It has been observed that these topological descriptors are useful to predict two physical properties, namely density and molecular weight.

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来源期刊
CiteScore
7.50
自引率
7.70%
发文量
169
审稿时长
3.4 months
期刊介绍: Chemometrics and Intelligent Laboratory Systems publishes original research papers, short communications, reviews, tutorials and Original Software Publications reporting on development of novel statistical, mathematical, or computer techniques in Chemistry and related disciplines. Chemometrics is the chemical discipline that uses mathematical and statistical methods to design or select optimal procedures and experiments, and to provide maximum chemical information by analysing chemical data. The journal deals with the following topics: 1) Development of new statistical, mathematical and chemometrical methods for Chemistry and related fields (Environmental Chemistry, Biochemistry, Toxicology, System Biology, -Omics, etc.) 2) Novel applications of chemometrics to all branches of Chemistry and related fields (typical domains of interest are: process data analysis, experimental design, data mining, signal processing, supervised modelling, decision making, robust statistics, mixture analysis, multivariate calibration etc.) Routine applications of established chemometrical techniques will not be considered. 3) Development of new software that provides novel tools or truly advances the use of chemometrical methods. 4) Well characterized data sets to test performance for the new methods and software. The journal complies with International Committee of Medical Journal Editors'' Uniform requirements for manuscripts.
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