Functionalized Soybean Oil as a Bio-based Flame Retardant for Poly(lactic acid): Role of Phosphorus Content

阻燃剂 乳酸 环氧化大豆油 烧焦 化学 生物塑料 化学工程 材料科学 高分子化学 有机化学 复合材料 废物管理 细菌 燃烧 冶金 生物 工程类 遗传学 原材料
作者
Defang Zhao,Li Lin,Yuhui Xie,Dong Feng,Feng Wu,Delong Xie,Yuxin Liu,Yi Mei
出处
期刊:ACS applied polymer materials [American Chemical Society]
卷期号:6 (11): 6517-6529 被引量:7
标识
DOI:10.1021/acsapm.4c00775
摘要

Bio-based phosphorus flame retardants offer significant promise in enhancing the flame retardancy of bioplastics without compromising their environmental friendliness. In this study, a bio-based phosphorus-based flame retardant (PFR) synthesized from epoxidized soybean oil polyol (PESO) was used to enhance the flame-retardant properties of poly(lactic acid) (PLA), aiming to establish the correlation between phosphorus content and the fire behavior of PLA composites. Notably, the study determined that the critical phosphorus content value for improving the PLA rating from NR to V-0 was as low as 0.1 wt % in the composites, with the limited oxygen index (LOI) of PLA increasing from 21.0% to 25.2%. Meanwhile, the introduction of PESO with high phosphorus contents decreased the peak heat release rate (PHRR) and total heat release (THR) of PLA by 5.33% and 9.66%, respectively. Nevertheless, with the complete replacement of the epoxy group by phosphorus ring-opening, PESO loses its plasticizing effect, making it challenging to enhance the elongation at the break of PLA. Finally, the flame-retardant mechanism of PLA/PESO composites was comprehensively analyzed. It was found that the mechanism was also related to the phosphorus contents; high phosphorus was not favorable for the char forming in the condensed phase but promoting the melt dripping and formation of PO•, PO2•, and HPO• which could trap radicals in the gas phase. This study provides valuable insights into designing PFRs from renewable resources for PLA.
最长约 10秒,即可获得该文献文件

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
chxhwu完成签到,获得积分20
刚刚
在到处之间找我完成签到,获得积分10
刚刚
柱子pillar发布了新的文献求助10
刚刚
刚刚
CipherSage应助zc采纳,获得10
1秒前
追寻飞松发布了新的文献求助10
1秒前
mof发布了新的文献求助10
1秒前
1秒前
Wang发布了新的文献求助10
1秒前
杨明发布了新的文献求助10
2秒前
2秒前
3秒前
David发布了新的文献求助10
3秒前
科研通AI6.3应助惜芹采纳,获得10
4秒前
4秒前
4秒前
4秒前
无奈筝完成签到,获得积分10
4秒前
苏公子发布了新的文献求助10
4秒前
慕青应助hope采纳,获得10
4秒前
Sam关注了科研通微信公众号
5秒前
共享精神应助du采纳,获得10
6秒前
Andy发布了新的文献求助10
6秒前
6秒前
7秒前
Akim应助小树采纳,获得10
7秒前
个性破茧完成签到 ,获得积分10
8秒前
9秒前
ksx发布了新的文献求助10
9秒前
9秒前
ctttt发布了新的文献求助10
9秒前
yiyi完成签到,获得积分20
10秒前
Amy发布了新的文献求助10
10秒前
yueyue完成签到,获得积分10
10秒前
生命如歌发布了新的文献求助10
10秒前
11秒前
11秒前
斯文败类应助mof采纳,获得10
11秒前
VK2801发布了新的文献求助10
11秒前
何子欣完成签到,获得积分10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7299602
求助须知:如何正确求助?哪些是违规求助? 8918051
关于积分的说明 18886110
捐赠科研通 6964596
什么是DOI,文献DOI怎么找? 3210875
关于科研通互助平台的介绍 2380266
邀请新用户注册赠送积分活动 2187632