The quantitative molecular weight-antimicrobial activity relationship for chitosan polymers, oligomers, and derivatives

壳聚糖 抗菌剂 分子质量 最小抑制浓度 化学 取代基 聚合物 立体化学 有机化学
作者
Már Másson
出处
期刊:Carbohydrate Polymers [Elsevier]
卷期号:337: 122159-122159 被引量:7
标识
DOI:10.1016/j.carbpol.2024.122159
摘要

Chitosan and chitosan derivatives can kill pathogenic microorganisms including bacteria and fungi. The antimicrobial activity is dependent on the degree of acetylation, substituent structure, and molecular weight. Over the past four decades, numerous studies have endeavored to elucidate the relationship between molecular weight and the activity against microorganisms. However, investigators have reported divergent and, at times, conflicting conclusions. Here a bilinear equation is proposed, delineating the relationship between antimicrobial activity, defined as log (1/MIC), and the molecular weight of chitosan and chitosan derivatives. Three constants AMin, AMax, and CMW govern the shape of the curve determined by the equation. The constant AMin denotes the minimal activity expected as the molecular weight tends towards zero while AMax represents the maximal activity observed for molecular weights exceeding CMW, the critical molecular weight required for max activity. This equation was applied to analyze data from seven studies conducted between 1984 and 2019, which reported MIC (Minimum Inhibitory Concentration) values against bacteria and fungi for various molecular weights of chitosan and its derivatives. All the 29 datasets exhibited a good fit (R2 ≥ 0.5) and half excellent (R2 ≥ 0.95) fit to the equation. The CMW generally ranged from 4 to 10 KD for datasets with an excellent fit to the equation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虎啊虎啊发布了新的文献求助10
刚刚
刚刚
刚刚
1秒前
3秒前
4秒前
核桃发布了新的文献求助10
5秒前
Jackie发布了新的文献求助10
6秒前
传奇3应助摇摇奶昔采纳,获得10
6秒前
简单的海秋完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
9秒前
9秒前
10秒前
夏雨完成签到,获得积分10
11秒前
11秒前
11秒前
12秒前
淡淡绮琴发布了新的文献求助10
12秒前
12秒前
13秒前
13秒前
13秒前
LYL完成签到,获得积分10
14秒前
15秒前
pluto应助wang采纳,获得10
15秒前
完美世界应助wang采纳,获得10
15秒前
传奇3应助PhDL1采纳,获得10
15秒前
15秒前
顾矜应助吐司采纳,获得10
15秒前
栖许发布了新的文献求助10
16秒前
CodeCraft应助俏皮雁凡采纳,获得10
16秒前
研友_VZG7GZ应助落尘府采纳,获得10
17秒前
17秒前
夹心热狗发布了新的文献求助10
18秒前
小马甲应助Geniusbest采纳,获得10
18秒前
18秒前
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018277
求助须知:如何正确求助?哪些是违规求助? 7606036
关于积分的说明 16158788
捐赠科研通 5165862
什么是DOI,文献DOI怎么找? 2765091
邀请新用户注册赠送积分活动 1746618
关于科研通互助平台的介绍 1635321