Self-corrected dual-optical immunosensors using carbon dots@SiO2@MnO2 improving diethyl phthalate detection accuracy

化学 邻苯二甲酸二乙酯 生物分析 荧光 免疫分析 检出限 肉眼 抗坏血酸 pH指示剂 线性范围 色谱法 分析化学(期刊) 邻苯二甲酸盐 有机化学 光学 物理 抗体 生物 免疫学 食品科学
作者
Biru Chen,Lei Li,Qianqian Yang,Mingcui Zhang
出处
期刊:Talanta [Elsevier]
卷期号:261: 124652-124652 被引量:1
标识
DOI:10.1016/j.talanta.2023.124652
摘要

The traditional immunoassay is widely used for pollutant detection and bioanalysis, but there are still some challenges in ensuring its sensitivity and reliable accuracy. Dual-optical measurement can prove mutual evidence to effectively improve the accuracy of the method by self-correction, which will overcome this problem. In this study, we developed a "visualization and sensing" dual-modal immunoassay based on blue carbon dots@SiO2@MnO2 (B-CDs@SiO2@MnO2) as "color and fluorescence" immunosensors. Here, MnO2 nanosheets have the activity of simulating oxidase. 3,3', 5,5'-Tetramethylbenzidine (TMB) can be oxidized to TMB2+ under acidic conditions and the color of the solution from colorless to yellow. On the other hand, the MnO2 nanosheets can quench the fluorescence of B-CDs@SiO2. After adding ascorbic acid (AA), MnO2 nanosheets were reduced to Mn2+, thereby the fluorescence of B-CDs@SiO2 was restored. Under the optimum conditions, as the concentration of target substance (diethyl phthalate) increased from 0.05 to 100 ng/mL, the method showed a good linear relationship. The fluorescence measurement signal and the color change signal of the solution visualization support each other and give the information of the corresponding material content. The results of the dual-optical immunoassay maintain good consistency, which proves the accuracy of the developed dual-optical immunoassay for detection of diethyl phthalate is reliable. Additionally, it is demonstrated that the dual-modal method exhibits high accuracy and stability in the assays, pointing to a broad range of application prospects in pollutant analysis.
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
独特亦旋完成签到,获得积分20
刚刚
今后应助qqqqqq采纳,获得10
1秒前
小马甲应助飞羽采纳,获得10
1秒前
星辰大海应助西内!卡Q因采纳,获得10
2秒前
2秒前
彬彬发布了新的文献求助10
3秒前
太叔捕完成签到,获得积分10
3秒前
高磊发布了新的文献求助10
4秒前
RH完成签到,获得积分10
4秒前
zhangzhen完成签到,获得积分10
4秒前
5秒前
科研通AI2S应助zfzf0422采纳,获得10
7秒前
Wendy1204发布了新的文献求助10
8秒前
8秒前
lydy1993完成签到,获得积分10
9秒前
10秒前
滴滴哒哒完成签到 ,获得积分10
10秒前
SciGPT应助波波玛奇朵采纳,获得10
12秒前
戏言121完成签到,获得积分10
12秒前
迷人的映雁完成签到,获得积分10
13秒前
13秒前
美丽的之双完成签到,获得积分10
14秒前
阿会完成签到,获得积分10
14秒前
wqm完成签到,获得积分10
15秒前
戏言121发布了新的文献求助10
16秒前
16秒前
17秒前
优雅的流沙完成签到 ,获得积分10
18秒前
猫的海完成签到,获得积分10
18秒前
18秒前
Eason Liu完成签到,获得积分0
19秒前
Wendy1204完成签到,获得积分20
19秒前
Hello应助654采纳,获得10
19秒前
咩咩羊完成签到,获得积分10
19秒前
23秒前
lianqing完成签到,获得积分10
23秒前
汉堡包应助科研通管家采纳,获得10
23秒前
领导范儿应助科研通管家采纳,获得10
24秒前
RC_Wang应助科研通管家采纳,获得10
24秒前
科研通AI5应助科研通管家采纳,获得10
24秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824