Colorimetric and SERS dual-mode detection of GSH in human serum based on AuNPs@Cu-porphyrin MOF nanozyme

卟啉 双模 检出限 拉曼散射 胶体金 化学 生物传感器 纳米技术 光化学 拉曼光谱 材料科学 纳米颗粒 色谱法 工程类 光学 生物化学 航空航天工程 物理
作者
Kexi Sun,Chao Liu,Cao Yi,J. Zhu,Jialin Li,Qing Huang
出处
期刊:Analytica Chimica Acta [Elsevier]
卷期号:1304: 342552-342552 被引量:1
标识
DOI:10.1016/j.aca.2024.342552
摘要

Rapid and accurate detection of glutathione content in human blood plays an important role in real-time tracking of related diseases. Currently, nanozyme-SERS combined detection mode has been proven to have excellent properties in the detection field compared to many other methods because of it combined the advantages of trace detection for SERS and efficient catalysis for nanozyme method. However, there are still existing problems in real sample detection such as quantitative detection is still difficult. In this study, gold nanoparticles (AuNPs) were synthesized in situ on the surface of two-dimensional Cu-porphyrin metal-organic framework (MOF) nanosheets to produce the AuNPs@Cu-porphyrin MOF nanozyme, which exhibited both oxidase-like activity and surface-enhanced Raman scattering (SERS) detection ability. On one hand, the intrinsic oxidase-like activity of the nanozyme could be inhibited due to the chelation of glutathione (GSH) and Cu, which thus led to the visual color change of the solution. On the other hand, the abundant Raman "hot spots" at the nanogap generated by Au NPs and the internal standard (IS) signal provided by Cu-meso-tetra (4-carboxyphenyl) porphine (Cu-TCPP) MOF improved the sensitivity and quantitative accuracy. A dual-mode signal output sensor based on the nanozyme was thus established, which could be used in the trace detection of GSH. Such a dual-mode sensor possesses excellent detection performance, with the advantage of both wide detection range from 1 to 300 μM in the colorimetric detection mode and high sensitivity of LOD with 5 nM in the SERS detection mode, and can be applied to GSH detection in actual serum samples with reliable results.
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
秋雪瑶应助狂野的化蛹采纳,获得10
2秒前
wsy完成签到,获得积分10
3秒前
雨泽应助和谐的火龙果采纳,获得10
4秒前
wodetouhenda完成签到,获得积分10
4秒前
6秒前
6秒前
悠悠完成签到 ,获得积分10
6秒前
Anita完成签到 ,获得积分10
9秒前
领导范儿应助我儿大彬采纳,获得10
9秒前
9秒前
12秒前
Orange应助zzz采纳,获得10
12秒前
柯同发布了新的文献求助10
14秒前
阿狸驳回了lsyt应助
15秒前
脑洞疼应助drew采纳,获得10
15秒前
牧紊发布了新的文献求助10
16秒前
救驾来迟关注了科研通微信公众号
19秒前
小叶爱学习完成签到,获得积分10
20秒前
Akim应助韩小柒采纳,获得10
25秒前
善良的虔完成签到,获得积分10
26秒前
yu3077完成签到 ,获得积分10
26秒前
30秒前
30秒前
善良的虔发布了新的文献求助10
31秒前
英俊的铭应助Lee采纳,获得10
34秒前
爆米花应助牧紊采纳,获得10
34秒前
哭泣怜南发布了新的文献求助10
35秒前
杨九斤Jenney完成签到 ,获得积分10
35秒前
36秒前
36秒前
救驾来迟发布了新的文献求助10
36秒前
啦啦发布了新的文献求助10
37秒前
迅速初柳发布了新的文献求助10
38秒前
Gustavo发布了新的文献求助10
39秒前
LIN发布了新的文献求助10
40秒前
40秒前
zHan完成签到 ,获得积分10
44秒前
44秒前
等待香寒完成签到 ,获得积分10
46秒前
潦草小狗发布了新的文献求助10
46秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Love and Friendship in the Western Tradition: From Plato to Postmodernity 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2549257
求助须知:如何正确求助?哪些是违规求助? 2176835
关于积分的说明 5606580
捐赠科研通 1897706
什么是DOI,文献DOI怎么找? 947157
版权声明 565447
科研通“疑难数据库(出版商)”最低求助积分说明 504007