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Ultrasensitive Electrochemical Detection of Glycoprotein Based on Boronate Affinity Sandwich Assay and Signal Amplification with Functionalized SiO2@Au Nanocomposites.
ACS Appl Mater Interfaces 2017; 9(16):13855-13864AA

Abstract

Herein we propose a multiple signal amplification strategy designed for ultrasensitive electrochemical detection of glycoproteins. This approach introduces a new type of boronate-affinity sandwich assay (BASA), which was fabricated by using gold nanoparticles combined with reduced graphene oxide (AuNPs-GO) to modify sensing surface for accelerating electron transfer, the composite of molecularly imprinted polymer (MIP) including 4-vinylphenylboronic acid (VPBA) for specific capturing glycoproteins, and SiO2 nanoparticles carried gold nanoparticles (SiO2@Au) labeled with 6-ferrocenylhexanethiol (FcHT) and 4-mercaptophenylboronic acid (MPBA) (SiO2@Au/FcHT/MPBA) as tracing tag for binding glycoprotein and generating electrochemical signal. As a sandwich-type sensing, the SiO2@Au/FcHT/MPBA was captured by glycoprotein on the surface of imprinting film for further electrochemical detection in 0.1 M PBS (pH 7.4). Using horseradish peroxidase (HRP) as a model glycoprotein, the proposed approach exhibited a wide linear range from 1 pg/mL to 100 ng/mL, with a low detection limit of 0.57 pg/mL. To the best of our knowledge, this is first report of a multiple signal amplification approach based on boronate-affinity molecularly imprinted polymer and SiO2@Au/FcHT/MPBA, exhibiting greatly enhanced sensitivity for glycoprotein detection. Furthermore, the newly constructed BASA based glycoprotein sensor demonstrated HRP detection in real sample, such as human serum, suggesting its promising prospects in clinical diagnostics.

Authors+Show Affiliations

College of Chemistry and Molecular Engineering, East China Normal University , 500 Dongchuan Road, Shanghai 200241, P. R. China.College of Chemistry and Molecular Engineering, East China Normal University , 500 Dongchuan Road, Shanghai 200241, P. R. China.College of Chemistry and Molecular Engineering, East China Normal University , 500 Dongchuan Road, Shanghai 200241, P. R. China.College of Chemistry and Molecular Engineering, East China Normal University , 500 Dongchuan Road, Shanghai 200241, P. R. China.College of Chemistry and Molecular Engineering, East China Normal University , 500 Dongchuan Road, Shanghai 200241, P. R. China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28393516

Citation

You, Min, et al. "Ultrasensitive Electrochemical Detection of Glycoprotein Based On Boronate Affinity Sandwich Assay and Signal Amplification With Functionalized SiO2@Au Nanocomposites." ACS Applied Materials & Interfaces, vol. 9, no. 16, 2017, pp. 13855-13864.
You M, Yang S, Tang W, et al. Ultrasensitive Electrochemical Detection of Glycoprotein Based on Boronate Affinity Sandwich Assay and Signal Amplification with Functionalized SiO2@Au Nanocomposites. ACS Appl Mater Interfaces. 2017;9(16):13855-13864.
You, M., Yang, S., Tang, W., Zhang, F., & He, P. G. (2017). Ultrasensitive Electrochemical Detection of Glycoprotein Based on Boronate Affinity Sandwich Assay and Signal Amplification with Functionalized SiO2@Au Nanocomposites. ACS Applied Materials & Interfaces, 9(16), pp. 13855-13864. doi:10.1021/acsami.7b00444.
You M, et al. Ultrasensitive Electrochemical Detection of Glycoprotein Based On Boronate Affinity Sandwich Assay and Signal Amplification With Functionalized SiO2@Au Nanocomposites. ACS Appl Mater Interfaces. 2017 Apr 26;9(16):13855-13864. PubMed PMID: 28393516.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Ultrasensitive Electrochemical Detection of Glycoprotein Based on Boronate Affinity Sandwich Assay and Signal Amplification with Functionalized SiO2@Au Nanocomposites. AU - You,Min, AU - Yang,Shuai, AU - Tang,Wanxin, AU - Zhang,Fan, AU - He,Pin-Gang, Y1 - 2017/04/17/ PY - 2017/4/11/pubmed PY - 2018/11/14/medline PY - 2017/4/11/entrez KW - boronate-affinity sandwich assay KW - electrochemical sensor KW - glycoproteins KW - multiple signal amplification KW - oriented surface imprinting SP - 13855 EP - 13864 JF - ACS applied materials & interfaces JO - ACS Appl Mater Interfaces VL - 9 IS - 16 N2 - Herein we propose a multiple signal amplification strategy designed for ultrasensitive electrochemical detection of glycoproteins. This approach introduces a new type of boronate-affinity sandwich assay (BASA), which was fabricated by using gold nanoparticles combined with reduced graphene oxide (AuNPs-GO) to modify sensing surface for accelerating electron transfer, the composite of molecularly imprinted polymer (MIP) including 4-vinylphenylboronic acid (VPBA) for specific capturing glycoproteins, and SiO2 nanoparticles carried gold nanoparticles (SiO2@Au) labeled with 6-ferrocenylhexanethiol (FcHT) and 4-mercaptophenylboronic acid (MPBA) (SiO2@Au/FcHT/MPBA) as tracing tag for binding glycoprotein and generating electrochemical signal. As a sandwich-type sensing, the SiO2@Au/FcHT/MPBA was captured by glycoprotein on the surface of imprinting film for further electrochemical detection in 0.1 M PBS (pH 7.4). Using horseradish peroxidase (HRP) as a model glycoprotein, the proposed approach exhibited a wide linear range from 1 pg/mL to 100 ng/mL, with a low detection limit of 0.57 pg/mL. To the best of our knowledge, this is first report of a multiple signal amplification approach based on boronate-affinity molecularly imprinted polymer and SiO2@Au/FcHT/MPBA, exhibiting greatly enhanced sensitivity for glycoprotein detection. Furthermore, the newly constructed BASA based glycoprotein sensor demonstrated HRP detection in real sample, such as human serum, suggesting its promising prospects in clinical diagnostics. SN - 1944-8252 UR - https://www.unboundmedicine.com/medline/citation/28393516/Ultrasensitive_Electrochemical_Detection_of_Glycoprotein_Based_on_Boronate_Affinity_Sandwich_Assay_and_Signal_Amplification_with_Functionalized_SiO2@Au_Nanocomposites_ L2 - https://dx.doi.org/10.1021/acsami.7b00444 DB - PRIME DP - Unbound Medicine ER -