M13 Bacteriophage-Assisted Recognition and Signal Spatiotemporal Separation Enabling Ultrasensitive Light Scattering Immunoassay-Reference-Cited by-同舟云学术

M13 Bacteriophage-Assisted Recognition and Signal Spatiotemporal Separation Enabling Ultrasensitive Light Scattering Immunoassay

Published:2023-09-12 Issue:18 Volume:17 Page:18596-18607
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Fang Hao¹,Zhou Yaofeng¹,Ma Yanbing¹,Chen Qi¹^ORCID,Tong Weipeng¹,Zhan Shengnan¹,Guo Qian²,Xiong Yonghua¹³^ORCID,Tang Ben Zhong⁴^ORCID,Huang Xiaolin¹³

Affiliation:

1. State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China

2. Jiangxi Province Centre for Disease Control and Prevention, Nanchang 330029, P. R. China

3. Jiangxi Medicine Academy of Nutrition and Health Management, Nanchang 330006, P. R. China

4. Shenzhen Institute of Aggregate Science and Technology, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, P. R. China

Funder

Key Research and Development Program of Jiangxi Province

National Natural Science Foundation of China

Government of Jiangxi Province

Natural Science Foundation of Jiangxi Province

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsnano.3c07194

Reference62 articles.

1. A Universal Boronate‐Affinity Crosslinking‐Amplified Dynamic Light Scattering Immunoassay for Point‐of‐Care Glycoprotein Detection

2. Nanoplasmonic quantification of tumour-derived extracellular vesicles in plasma microsamples for diagnosis and treatment monitoring

3. AIEgens: An emerging fluorescent sensing tool to aid food safety and quality control

4. Single Molecule Protein Detection with Attomolar Sensitivity Using Droplet Digital Enzyme-Linked Immunosorbent Assay

5. Fabrication of silicon nanowire devices for ultrasensitive, label-free, real-time detection of biological and chemical species

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