skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Potentiometric Sensors Based on Surface Molecular Imprinting: Detection of Cancer Biomarkers and Viruses

Abstract

The continuing discovery of cancer biomarkers necessitates improved methods for their detection. Molecular imprinting using artificial materials provides an alternative to the detection of a wide range of substances. We applied surface molecular imprinting using self-assembled monolayers to design sensing elements for the detection of cancer biomarkers and other proteins. These elements consist of a gold-coated silicon chip onto which hydroxyl-terminated alkanethiol molecules and template biomolecule are co-adsorbed, where the thiol molecules are chemically bound to the metal substrate and self-assembled into highly ordered monolayers, the biomolecules can be removed, creating the foot-print cavities in the monolayer matrix for this kind of template molecules. Re-adsorption of the biomolecules to the sensing chip changes its potential, which can be measured potentiometrically. We applied this method to the detection of carcinoembryonic antigen (CEA) in both solutions of purified CEA and in the culture medium of a CEA-producing human colon cancer cell line. The CEA assay, validated also against a standard immunoassay, was both sensitive (detection range 2.5-250 ng/mL) and specific (no cross-reactivity with hemoglobin; no response by a non-imprinted sensor). Similar results were obtained for human amylase. In addition, we detected virions of poliovirus in a specific manner (no cross-reactivity to adenovirus,more » no response by a non-imprinted sensor). Our findings demonstrate the application of the principles of molecular imprinting to the development of a new method for the detection of protein cancer biomarkers and to protein-based macromolecular structures such as the capsid of a virion. This approach has the potential of generating a general assay methodology that could be highly sensitive, specific, simple and likely inexpensive.« less

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States). National Synchrotron Light Source
Sponsoring Org.:
DOE - OFFICE OF SCIENCE
OSTI Identifier:
1020217
Report Number(s):
BNL-96067-2011-JA
Journal ID: ISSN 0925-4005; SABCEB; TRN: US201116%%197
DOE Contract Number:  
DE-AC02-98CH10886
Resource Type:
Journal Article
Journal Name:
Sensors and Actuators B: Chemical
Additional Journal Information:
Journal Volume: 146; Journal Issue: 1; Journal ID: ISSN 0925-4005
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; ADENOVIRUS; AMYLASE; CARCINOEMBRYONIC ANTIGEN; CAVITIES; DESIGN; DETECTION; HEMOGLOBIN; IMMUNOASSAY; LARGE INTESTINE; NEOPLASMS; PROTEINS; SENSORS; SILICON; SUBSTRATES; THIOLS; VIRUSES; national synchrotron light source

Citation Formats

Wang, Y, Zhang, Z, Jain, V, Yi, J, Mueller, S, Sokolov, J, Liu, Z, Levon, K, Rigas, B, and Rafailovich, M. Potentiometric Sensors Based on Surface Molecular Imprinting: Detection of Cancer Biomarkers and Viruses. United States: N. p., 2010. Web. doi:10.1016/j.snb.2010.02.032.
Wang, Y, Zhang, Z, Jain, V, Yi, J, Mueller, S, Sokolov, J, Liu, Z, Levon, K, Rigas, B, & Rafailovich, M. Potentiometric Sensors Based on Surface Molecular Imprinting: Detection of Cancer Biomarkers and Viruses. United States. https://doi.org/10.1016/j.snb.2010.02.032
Wang, Y, Zhang, Z, Jain, V, Yi, J, Mueller, S, Sokolov, J, Liu, Z, Levon, K, Rigas, B, and Rafailovich, M. 2010. "Potentiometric Sensors Based on Surface Molecular Imprinting: Detection of Cancer Biomarkers and Viruses". United States. https://doi.org/10.1016/j.snb.2010.02.032.
@article{osti_1020217,
title = {Potentiometric Sensors Based on Surface Molecular Imprinting: Detection of Cancer Biomarkers and Viruses},
author = {Wang, Y and Zhang, Z and Jain, V and Yi, J and Mueller, S and Sokolov, J and Liu, Z and Levon, K and Rigas, B and Rafailovich, M},
abstractNote = {The continuing discovery of cancer biomarkers necessitates improved methods for their detection. Molecular imprinting using artificial materials provides an alternative to the detection of a wide range of substances. We applied surface molecular imprinting using self-assembled monolayers to design sensing elements for the detection of cancer biomarkers and other proteins. These elements consist of a gold-coated silicon chip onto which hydroxyl-terminated alkanethiol molecules and template biomolecule are co-adsorbed, where the thiol molecules are chemically bound to the metal substrate and self-assembled into highly ordered monolayers, the biomolecules can be removed, creating the foot-print cavities in the monolayer matrix for this kind of template molecules. Re-adsorption of the biomolecules to the sensing chip changes its potential, which can be measured potentiometrically. We applied this method to the detection of carcinoembryonic antigen (CEA) in both solutions of purified CEA and in the culture medium of a CEA-producing human colon cancer cell line. The CEA assay, validated also against a standard immunoassay, was both sensitive (detection range 2.5-250 ng/mL) and specific (no cross-reactivity with hemoglobin; no response by a non-imprinted sensor). Similar results were obtained for human amylase. In addition, we detected virions of poliovirus in a specific manner (no cross-reactivity to adenovirus, no response by a non-imprinted sensor). Our findings demonstrate the application of the principles of molecular imprinting to the development of a new method for the detection of protein cancer biomarkers and to protein-based macromolecular structures such as the capsid of a virion. This approach has the potential of generating a general assay methodology that could be highly sensitive, specific, simple and likely inexpensive.},
doi = {10.1016/j.snb.2010.02.032},
url = {https://www.osti.gov/biblio/1020217}, journal = {Sensors and Actuators B: Chemical},
issn = {0925-4005},
number = 1,
volume = 146,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2010},
month = {Fri Jan 01 00:00:00 EST 2010}
}