Cascade reaction biosensor based on Cu/N co-doped two-dimensional carbon-based nanozyme for the detection of lactose and β-galactosidase

化学 乳糖 生物传感器 检出限 半乳糖 β-半乳糖苷酶 碳纤维 纳米片 色谱法 组合化学 核化学 生物化学 有机化学 复合数 基因 基因表达 复合材料 材料科学
作者
Xiaobin Zhou,Mengjun Wang,Junyang Chen,Xingguang Su
出处
期刊:Talanta [Elsevier BV]
卷期号:245: 123451-123451 被引量:47
标识
DOI:10.1016/j.talanta.2022.123451
摘要

Developing high-performance nanozyme for the construction of high-sensitivity biosensor platform is of great significance. Herein, we have designed and synthesized a Cu/N co-doped carbon-based nanozyme by anchoring Cu atoms on two-dimensional carbon nanosheet (Cu/NC NS). The Cu/NC NS possessed ultra-high Cu loading, superior peroxidase-like catalytic activity, great stability and reusability. Significantly, the Cu/NC NS exhibited high affinity towards H2O2 and 3,3′,5,5′-tetramethylbenzidine (TMB) under acidic condition, which could induce obvious color changes of TMB in the presence of low H2O2 concentration. By integrating the Cu/NC NS with β-galactosidase (β-Gal) and galactose oxidase (Gal Ox), a multienzyme cascade colorimetric sensing system was established for the detection of lactose and β-Gal, which realizing the assay of lactose and β-Gal in the linear ranges of 0.1–1.4 mM and 0.025–0.2 U/mL, respectively. And the limit of detection for lactose and β-Gal were 0.03 mM and 0.01 U/mL, respectively. Furthermore, this work achieved the accurate detection of the content of lactose in milk and the activity of β-Gal in human serum, exploiting a novel application for nanozyme in biosensing.
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
1秒前
bkagyin应助Once采纳,获得10
1秒前
11完成签到,获得积分10
3秒前
Orange应助何以采纳,获得10
3秒前
5秒前
6秒前
7秒前
7秒前
J_B_Zhao应助威卡采纳,获得10
7秒前
lisbattery发布了新的文献求助20
8秒前
8秒前
千千发布了新的文献求助10
9秒前
10秒前
小资发布了新的文献求助10
10秒前
cc951229完成签到,获得积分10
10秒前
11秒前
阿嚏完成签到,获得积分20
11秒前
小美完成签到,获得积分10
11秒前
蒲勇兵发布了新的文献求助10
11秒前
冷傲的抽屉完成签到,获得积分10
12秒前
12秒前
13秒前
14秒前
华仔应助666采纳,获得10
14秒前
律香川照之完成签到,获得积分10
14秒前
14秒前
满意的皮带完成签到,获得积分10
15秒前
15秒前
16秒前
17秒前
小马甲应助内向千易采纳,获得10
17秒前
整齐的凌波关注了科研通微信公众号
18秒前
daihq3完成签到,获得积分10
18秒前
18秒前
abtitw完成签到,获得积分10
18秒前
李健的小迷弟应助zero1832采纳,获得10
18秒前
19秒前
斑马兽发布了新的文献求助10
19秒前
科研通AI6.1应助幽默服饰采纳,获得10
19秒前
19秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492883
求助须知:如何正确求助?哪些是违规求助? 8290418
关于积分的说明 17690956
捐赠科研通 5584892
什么是DOI,文献DOI怎么找? 2915485
邀请新用户注册赠送积分活动 1892551
关于科研通互助平台的介绍 1750821