增强金纳米粒子的过氧化物酶模拟活性,用于侧向流动检测:从动力学角度进行定量评估。

IF 3.7 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Langmuir Pub Date : 2025-02-25 Epub Date: 2025-02-14 DOI:10.1021/acs.langmuir.4c05238
Vasily G Panferov, Wenjun Zhang, Nicholas D'Abruzzo, Juewen Liu
{"title":"增强金纳米粒子的过氧化物酶模拟活性,用于侧向流动检测:从动力学角度进行定量评估。","authors":"Vasily G Panferov, Wenjun Zhang, Nicholas D'Abruzzo, Juewen Liu","doi":"10.1021/acs.langmuir.4c05238","DOIUrl":null,"url":null,"abstract":"<p><p>Highly sensitive lateral flow immunoassays (LFIAs) are essential for various point-of-care applications, and gold nanoparticles (Au NPs) are by far the most commonly used labels. However, conventional LFIAs often suffer from high detection limits (LOD) or low sensitivity. In this study, we investigated three strategies to enhance the sensitivity of LFIAs by improving the peroxidase-mimicking (POD) activity of Au NPs. The POD activity of unmodified Au NPs was negligible (<0.01 units/mg, U/mg). The first strategy involved coupling Au NPs with horseradish peroxidase (HRP), which increased the POD activity to 65 U/mg. The second approach involved forming a thin palladium or iridium shell on Au NPs, which elevated the POD activity to 0.69-0.71 U/mg. The third strategy involved binding mercury ions (Hg<sup>2+</sup>) to Au NPs, resulting in a POD activity of up to 3 U/mg. Finally, we developed a simple quantitative model to estimate the LOD of LFIAs based on the POD kinetic parameters. Using Au-HRP conjugates, we demonstrated that the experimentally measured LOD was consistent with the calculated values. The developed model provides a framework for evaluating LFIAs with catalytic signal amplification and can be used to guide the development of highly sensitive assays.</p>","PeriodicalId":50,"journal":{"name":"Langmuir","volume":" ","pages":"4894-4905"},"PeriodicalIF":3.7000,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing the Peroxidase-Mimicking Activity of Gold Nanoparticles for Lateral Flow Assays: Quantitative Evaluation in a Kinetic View.\",\"authors\":\"Vasily G Panferov, Wenjun Zhang, Nicholas D'Abruzzo, Juewen Liu\",\"doi\":\"10.1021/acs.langmuir.4c05238\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Highly sensitive lateral flow immunoassays (LFIAs) are essential for various point-of-care applications, and gold nanoparticles (Au NPs) are by far the most commonly used labels. However, conventional LFIAs often suffer from high detection limits (LOD) or low sensitivity. In this study, we investigated three strategies to enhance the sensitivity of LFIAs by improving the peroxidase-mimicking (POD) activity of Au NPs. The POD activity of unmodified Au NPs was negligible (<0.01 units/mg, U/mg). The first strategy involved coupling Au NPs with horseradish peroxidase (HRP), which increased the POD activity to 65 U/mg. The second approach involved forming a thin palladium or iridium shell on Au NPs, which elevated the POD activity to 0.69-0.71 U/mg. The third strategy involved binding mercury ions (Hg<sup>2+</sup>) to Au NPs, resulting in a POD activity of up to 3 U/mg. Finally, we developed a simple quantitative model to estimate the LOD of LFIAs based on the POD kinetic parameters. Using Au-HRP conjugates, we demonstrated that the experimentally measured LOD was consistent with the calculated values. The developed model provides a framework for evaluating LFIAs with catalytic signal amplification and can be used to guide the development of highly sensitive assays.</p>\",\"PeriodicalId\":50,\"journal\":{\"name\":\"Langmuir\",\"volume\":\" \",\"pages\":\"4894-4905\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-02-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Langmuir\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1021/acs.langmuir.4c05238\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Langmuir","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.langmuir.4c05238","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/14 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Enhancing the Peroxidase-Mimicking Activity of Gold Nanoparticles for Lateral Flow Assays: Quantitative Evaluation in a Kinetic View.

Highly sensitive lateral flow immunoassays (LFIAs) are essential for various point-of-care applications, and gold nanoparticles (Au NPs) are by far the most commonly used labels. However, conventional LFIAs often suffer from high detection limits (LOD) or low sensitivity. In this study, we investigated three strategies to enhance the sensitivity of LFIAs by improving the peroxidase-mimicking (POD) activity of Au NPs. The POD activity of unmodified Au NPs was negligible (<0.01 units/mg, U/mg). The first strategy involved coupling Au NPs with horseradish peroxidase (HRP), which increased the POD activity to 65 U/mg. The second approach involved forming a thin palladium or iridium shell on Au NPs, which elevated the POD activity to 0.69-0.71 U/mg. The third strategy involved binding mercury ions (Hg2+) to Au NPs, resulting in a POD activity of up to 3 U/mg. Finally, we developed a simple quantitative model to estimate the LOD of LFIAs based on the POD kinetic parameters. Using Au-HRP conjugates, we demonstrated that the experimentally measured LOD was consistent with the calculated values. The developed model provides a framework for evaluating LFIAs with catalytic signal amplification and can be used to guide the development of highly sensitive assays.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
期刊最新文献
Fluid Flow Measurements in Nanoslits Using Holographic Microscopy Optimized Congo Red Dye Adsorption Using ZnCuCr-Based MOF for Sustainable Wastewater Treatment Water Collection and Transport on Bioinspired Surface Integrating Beetles, Spider Webs, and Cactus Spines Molecular Insights into Interfacial Stress Amplification and Network Reinforcement in Extrudable Multiphase Vitrimers Molecular Insights into the EOR Mechanism of Water, CO2, and CO2–WAG Flooding in Heterogeneous Nanochannels: A Molecular Dynamic Simulation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1