Optimization of PET depolymerization for enhanced terephthalic acid recovery from commercial PET and post consumer PET-bottles via low-temperature alkaline hydrolysis

解聚 对苯二甲酸 碱性水解 水解 宠物食品 化学 核化学 聚酯纤维 有机化学 食品科学
作者
Sosiawati Teke,Shirjana Saud,Roshan Mangal Bhattarai,Adnan Ali,Lan Nguyen,Avik Denra,Duc Ba Nguyen,Young Sun Mok
出处
期刊:Chemosphere [Elsevier BV]
卷期号:365: 143391-143391 被引量:23
标识
DOI:10.1016/j.chemosphere.2024.143391
摘要

The increasing demand for plastic has resulted in a surge in plastic waste production. Polyethylene terephthalate (PET), commonly used in beverage bottle manufacturing, is only partially recycled, with an estimated recycling rate of just 28.4% in 2019. This accumulation of plastic waste is harmful to the environment and living organisms, necessitating effective recycling methods for PET waste. One promising method is alkaline hydrolysis using NaOH, which can break down PET into its monomer components, terephthalic acid (TPA) and ethylene glycol (EG). This process not only recycles PET efficiently but also manages contaminants effectively, producing high-quality TPA, supporting the development of a circular economy. This study looks into PET depolymerization via alkaline hydrolysis at low temperature by investigating effects of various factors: pH levels, water to ethanol ratio, NaOH concentration, NaOH to PET ratio, reaction time, PET size, reusability of unreacted PET, air plasma pretreatment of PET, and different kinds of PET. Promisingly, PET conversion rates of over 90% and a TPA purity of 99.6% were achieved in this study highlighting the efficacy of alkaline hydrolysis in depolymerizing post-consumer PET waste. Ultimately, this research advances sustainable plastic waste management and supports the integration of PET into a circular economy framework.
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
刚刚
龙虾发布了新的文献求助10
1秒前
射天狼发布了新的文献求助11
1秒前
隐形曼青应助大糖糕僧采纳,获得10
2秒前
wrm发布了新的文献求助10
2秒前
lxg完成签到 ,获得积分10
2秒前
娃哈哈完成签到,获得积分10
2秒前
桐桐应助ZYC007采纳,获得20
3秒前
3秒前
kingwill发布了新的文献求助30
3秒前
Bernice发布了新的文献求助10
4秒前
4秒前
JamesPei应助罗欢欢采纳,获得10
4秒前
4秒前
FJ发布了新的文献求助10
6秒前
小蘑菇应助徐锋采纳,获得10
6秒前
科研通AI6.4应助猫蒲采纳,获得10
6秒前
6秒前
可可是欧皇完成签到,获得积分10
6秒前
香蕉觅云应助3232采纳,获得10
7秒前
在水一方应助天真的眼睛采纳,获得10
7秒前
1nnoy发布了新的文献求助10
8秒前
8秒前
幽默荧发布了新的文献求助10
8秒前
养殖大鳖完成签到,获得积分10
9秒前
9秒前
10秒前
lucky呆瓜发布了新的文献求助10
10秒前
10秒前
没有梦想发布了新的文献求助10
10秒前
飘逸的书萱应助ds采纳,获得10
10秒前
Lalabcdefgood发布了新的文献求助30
11秒前
SciGPT应助climber采纳,获得10
11秒前
凶狠的雅绿完成签到,获得积分10
11秒前
平平常常完成签到,获得积分10
11秒前
111完成签到,获得积分10
12秒前
ahslyycky完成签到,获得积分10
12秒前
徐俊大完成签到,获得积分10
12秒前
浅见春子发布了新的文献求助10
13秒前
Geodada完成签到,获得积分10
13秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6477684
求助须知:如何正确求助?哪些是违规求助? 8279440
关于积分的说明 17657587
捐赠科研通 5559812
什么是DOI,文献DOI怎么找? 2910902
邀请新用户注册赠送积分活动 1887873
关于科研通互助平台的介绍 1741389