Strontium oxides with enzyme-like activity: A colorimetric sensor array for highly sensitive discrimination of bisphenols

双酚 双酚A 双酚S 化学 色谱法 化学工程 有机化学 工程类 环氧树脂
作者
Yifei Chen,Wengui Nie,Zhengchun Peng,Feng Yu,Jiao Yang,Yingchun Li
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:364: 131869-131869 被引量:26
标识
DOI:10.1016/j.snb.2022.131869
摘要

Bisphenols are widely used in food packaging materials, and because of their endocrine disrupting effects on the human body, fast yet facile detection is essential for food safety and human health. Traditional analytical methods face disadvantages of cumbersome operation and the need of bulk instruments. To circumvent these issues, we constructed colorimetric sensor arrays based on peroxidase-like activities of three strontium oxides for four bisphenols determination. Bisphenols are absorbed on surface of strontium oxides, blocking catalytic sites and leading to decline of enzyme-like activities in turn. Different bisphenols have diverse inhibition effect on catalytic activities of the three nanozymes, and each bisphenol possesses a unique fingerprint. Though principal component analysis, bisphenol A, bisphenol S, bisphenol B and bisphenol AF with concentrations ranging from 0.0002 to 1 μg mL−1 were discerned well by the developed sensor arrays. Additionally, different concentrations of each bisphenol and different ratios of mixed bisphenols were successfully discriminated, and canned fruit as real sample was applied to evaluate practical applicability of the nanozyme based sensor arrays. This work is expected to provide a simple and fast method for discrimination of structural analogues and contribute to food quality and safety monitoring aspects.
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
qq发布了新的文献求助10
2秒前
lcy完成签到 ,获得积分10
2秒前
5秒前
无花果应助飞飞飞采纳,获得10
7秒前
高高浩然完成签到,获得积分10
8秒前
打打应助婷婷采纳,获得10
8秒前
roblllling发布了新的文献求助10
9秒前
青阳完成签到,获得积分10
12秒前
君君完成签到,获得积分10
13秒前
14秒前
14秒前
严仁杰发布了新的文献求助50
15秒前
LLL完成签到,获得积分10
15秒前
16秒前
脑洞疼应助Panchael采纳,获得10
17秒前
chen完成签到,获得积分10
17秒前
迷人世开完成签到,获得积分10
19秒前
飞飞飞发布了新的文献求助10
19秒前
luermei发布了新的文献求助10
20秒前
打打应助君子不器采纳,获得30
20秒前
biubiubiu发布了新的文献求助10
21秒前
roblllling完成签到,获得积分10
21秒前
蕃茄可乐完成签到,获得积分10
23秒前
科研通AI5应助YMM采纳,获得10
24秒前
Wang完成签到,获得积分10
24秒前
开心的若血完成签到,获得积分10
24秒前
上官若男应助黑妹采纳,获得10
25秒前
28秒前
oceanic完成签到 ,获得积分10
29秒前
Owen应助biubiubiu采纳,获得10
31秒前
33秒前
chen完成签到 ,获得积分10
33秒前
zzz完成签到,获得积分10
33秒前
lillian完成签到,获得积分20
34秒前
34秒前
35秒前
Persevere完成签到,获得积分10
37秒前
hcjxj完成签到,获得积分10
38秒前
38秒前
39秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740489
求助须知:如何正确求助?哪些是违规求助? 3283290
关于积分的说明 10034940
捐赠科研通 3000165
什么是DOI,文献DOI怎么找? 1646430
邀请新用户注册赠送积分活动 783550
科研通“疑难数据库(出版商)”最低求助积分说明 750411