New use for Lentinus edodes bran biochar for tetracycline removal

吸附 生物炭 热重分析 朗缪尔 弗伦德利希方程 傅里叶变换红外光谱 化学 朗缪尔吸附模型 麸皮 木屑 香菇属 化学工程 热解 核化学 蘑菇 环境化学 材料科学 有机化学 食品科学 原材料 工程类
作者
Xiao Liu,Ziyi Shao,Yuxin Wang,Yuanyuan Liu,Shiyao Wang,Feng Gao,Yingjie Dai
出处
期刊:Environmental Research [Elsevier]
卷期号:216: 114651-114651 被引量:49
标识
DOI:10.1016/j.envres.2022.114651
摘要

The abuse of antibiotics poses a threat to the ecological environment and biological health, and how to effectively reduce the residue of tetracycline (TC) in the environment has attracted much attention. In this study, three types of pristine biochar (BCs: PBC300, PBC500, and PBC700) were prepared using agricultural waste shiitake mushroom bran at different pyrolysis temperatures to remove TC from water. The structure and surface chemistry of the adsorbents were characterized using different analytical techniques such as scanning electron microscopy, Fourier transform infrared spectroscopy, X-ray diffraction, and thermogravimetric analysis. These changes in physicochemical properties improve the adsorption capacity of BC. The PBC300 and PBC500 conform to the Langmuir isothermal adsorption model, while the PBC700 is more compatible with the Freundlich model. According to the fitting results of the Langmuir isotherm model, the maximum saturated adsorption capacities of PBC300, PBC500 and PBC700 for TC were 7.568 mg/g, 14.994 mg/g and 17.684 mg/g, respectively. The correlation coefficients of the pseudo-second-order kinetic models were 0.9882, 0.9882 and 0.9996, respectively, which could well fit the adsorption process of TC by the three BCs, indicating that chemical adsorption was dominant. With the help of machine learning, the relationship between the physicochemical properties of BC and the adsorption capacity of TC was effectively explored. The random forest model was able to fit the adsorption process of BC on TC better. It is expected that this study will guide the rational application of BC in the treatment of TC wastewater.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
陪你长大完成签到,获得积分10
2秒前
Yeah发布了新的文献求助10
2秒前
4秒前
5秒前
5秒前
xpqiu完成签到,获得积分10
5秒前
Kevin完成签到,获得积分10
5秒前
爱静静应助liyang999采纳,获得10
6秒前
小巧的如冬完成签到,获得积分10
6秒前
所所应助re采纳,获得10
7秒前
wuyuan9588完成签到 ,获得积分10
7秒前
hecarli完成签到,获得积分10
9秒前
高贵以南完成签到,获得积分10
9秒前
科目三应助科研通管家采纳,获得10
10秒前
慕青应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
哈哈哈哈发布了新的文献求助10
10秒前
CodeCraft应助科研通管家采纳,获得10
10秒前
烟花应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
上官若男应助科研通管家采纳,获得10
10秒前
所所应助科研通管家采纳,获得10
10秒前
英姑应助科研通管家采纳,获得10
10秒前
Orange应助科研通管家采纳,获得10
10秒前
FashionBoy应助Aokcers采纳,获得10
12秒前
司空三问完成签到,获得积分10
15秒前
15秒前
yerenjie完成签到,获得积分20
16秒前
19秒前
大个应助聪明的青雪采纳,获得10
19秒前
科研小白完成签到 ,获得积分10
20秒前
20秒前
搜集达人应助serein采纳,获得10
21秒前
所所应助Yeah采纳,获得10
21秒前
22秒前
taipingyang完成签到,获得积分10
23秒前
搜集达人应助哈哈哈哈采纳,获得10
23秒前
zhj发布了新的文献求助10
24秒前
四月清和完成签到,获得积分10
25秒前
25秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137238
求助须知:如何正确求助?哪些是违规求助? 2788358
关于积分的说明 7785777
捐赠科研通 2444399
什么是DOI,文献DOI怎么找? 1299897
科研通“疑难数据库(出版商)”最低求助积分说明 625650
版权声明 601023