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Ma, Guangzhong

https://orcid.org/0000-0002-1197-659X

Mayo Clinic

Arizona State University

Citations 3

Label‐Free Single‐Molecule Immunoassay
Chen, Chao , Zhou, Shuang , Chemerkouh, Mohammad Javad Haji Najafi , Snozek, Christine L.H. , Jiang, Jiapei, Braswell, Brandyn, Chen, C.-H. , Wang, Shaopeng , Chen, Chao , Zhou, Xiaoyan , Ma, Guangzhong , Yang, Eric H. , Wan, Zijian , Zhou, Xinyu , Wang, Shaopeng

Advanced Science | June 20, 2025 | Volume: 12 | Issue: 31 | Pages: No page available

10.1002/advs.202505207 Get It

Abstract Single‐molecule immunoassay is a reliable technique for the detection and quantification of low‐abundance blood biomarkers, which are essential for early disease diagnosis and biomedical research. However, current single‐molecule methods predominantly rely on endpoint detection and necessitate signal amplification via labeling, which brings a variety of unwanted effects, like matrix effect and autofluorescence interference. This study introduces a real‐time mass imaging‐based label‐free single‐molecule immunoassay (LFSMiA). Featuring plasmonic scattering microscopy‐based mass imaging, a 2‐step sandwich assay format enables background reduction, minimization of matrix effect by dynamic tracking of single binding events, and fully leveraging real‐time data for improved measurement precision through a Bayesian Gaussian process model, the LFSMiA enables ultra‐sensitive and direct protein detection at the single‐molecule level in neat blood sample matrices. LFSMiA measurement is demonstrated for interleukin‐6 and prostate‐specific antigen in buffer, undiluted serum, and whole blood with sub‐femtomolar detection limits and eight logs of dynamic ranges. Moreover, comparable performance is achieved with an inexpensive miniaturized setup. To show its translational potential to clinical settings and point‐of‐care diagnostics, N‐terminal pro‐B‐type natriuretic peptide is examined in patient whole blood samples using the LFSMiA and results in a strong linear correlation (r > 0.99) with standard clinical lab results.
Label-free Single-molecule Immunoassay
Zhou, Xiaoyan , Chemerkouh, Mohammad Javad Haji Najafi , Snozek, Christine L.H. , Braswell, Brandyn, Wan, Zijian, Chen, Chao , Ma, Guangzhong , Yang, Eric H. , Wan, Zijian , Wang, Shaopeng

No container title available | December 1, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.26434/chemrxiv-2023-vnxgr Get It

Single-molecule immunoassay is a reliable technique for the detection and quantification of low-abundance blood biomarkers, which are essential for early disease diagnosis and biomedical research. However, current single-molecule methods all require signal amplification via labelling, which brings a variety of unwanted consequences, such as matrix effects and autofluorescence interference. Here, we introduce a real-time mass imaging-based label-free single-molecule immunoassay (LFSM-immunoassay). Featuring plasmonic scattering microscopy-based real-time mass imaging, a 2-step sandwich assay format-enabled background reduction, and minimization of matrix effects by dynamic tracking of single binding events, the LFSM-immunoassay enables ultra-sensitive and direct protein detection at the single-molecule level in neat blood sample matrices. We demonstrated that the LFSM-immunoassay can measure sub-femtomolar levels of interleukin-6 and prostate-specific antigen in whole blood with 8 log dynamic range. To show its translational potential to clinical settings, we measured NT-proBNP (N-terminal pro-brain natriuretic peptide) in 28 patient serum samples using a 20 minute LFSM-immunoassay, and the results show a strong linear correlation (r > 0.99) with clinical lab reported values.
Gradient-Based Rapid Digital Immunoassay for High-Sensitivity Cardiac Troponin T (hs-cTnT) Detection in 1 μL Plasma
Jing, Wenwen , Wang, Yi , Zhang, Fenni , Yang, Yunze , Ma, Guangzhong , Snozek, Christine, Tao, Nongjian , Chen, C.-H. , Zhang, Fenni , Ma, Guangzhong , Snozek, Christine L N, Wang, Shaopeng , Chen, Chao , Jing, Wenwen , Chen, Chao , Yang, Eric H. , Wang, Shaopeng

ACS Sensors | September 28, 2020 | Volume: 6 | Issue: 2 | Pages: 399-407

10.1021/acssensors.0c01681 Get It