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Smart Sensing System for the Prognostic Monitoring of Bone Health

The objective of this paper is to report a novel non-invasive, real-time, and label-free smart assay technique for the prognostic detection of bone loss by electrochemical impedance spectroscopy (EIS). The proposed system incorporated an antibody-antigen-based sensor functionalization to induce sele...

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Autores principales: Afsarimanesh, Nasrin, Zia, Asif I., Mukhopadhyay, Subhas Chandra, Kruger, Marlena, Yu, Pak-Lam, Kosel, Jurgen, Kovacs, Zoltan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970028/
https://www.ncbi.nlm.nih.gov/pubmed/27347968
http://dx.doi.org/10.3390/s16070976
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author Afsarimanesh, Nasrin
Zia, Asif I.
Mukhopadhyay, Subhas Chandra
Kruger, Marlena
Yu, Pak-Lam
Kosel, Jurgen
Kovacs, Zoltan
author_facet Afsarimanesh, Nasrin
Zia, Asif I.
Mukhopadhyay, Subhas Chandra
Kruger, Marlena
Yu, Pak-Lam
Kosel, Jurgen
Kovacs, Zoltan
author_sort Afsarimanesh, Nasrin
collection PubMed
description The objective of this paper is to report a novel non-invasive, real-time, and label-free smart assay technique for the prognostic detection of bone loss by electrochemical impedance spectroscopy (EIS). The proposed system incorporated an antibody-antigen-based sensor functionalization to induce selectivity for the C-terminal telopeptide type one collagen (CTx-I) molecules—a bone loss biomarker. Streptavidin agarose was immobilized on the sensing area of a silicon substrate-based planar sensor, patterned with gold interdigital electrodes, to capture the antibody-antigen complex. Calibration experiments were conducted with various known CTx-I concentrations in a buffer solution to obtain a reference curve that was used to quantify the concentration of an analyte in the unknown serum samples. Multivariate chemometric analyses were done to determine the performance viability of the developed system. The analyses suggested that a frequency of 710 Hz is the most discriminating regarding the system sensitivity. A detection limit of 0.147 ng/mL was achieved for the proposed sensor and the corresponding reference curve was linear in the range of 0.147 ng/mL to 2.669 ng/mL. Two sheep blood samples were tested by the developed technique and the results were validated using enzyme-linked immunosorbent assay (ELISA). The results from the proposed technique match those from the ELISA.
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spelling pubmed-49700282016-08-04 Smart Sensing System for the Prognostic Monitoring of Bone Health Afsarimanesh, Nasrin Zia, Asif I. Mukhopadhyay, Subhas Chandra Kruger, Marlena Yu, Pak-Lam Kosel, Jurgen Kovacs, Zoltan Sensors (Basel) Article The objective of this paper is to report a novel non-invasive, real-time, and label-free smart assay technique for the prognostic detection of bone loss by electrochemical impedance spectroscopy (EIS). The proposed system incorporated an antibody-antigen-based sensor functionalization to induce selectivity for the C-terminal telopeptide type one collagen (CTx-I) molecules—a bone loss biomarker. Streptavidin agarose was immobilized on the sensing area of a silicon substrate-based planar sensor, patterned with gold interdigital electrodes, to capture the antibody-antigen complex. Calibration experiments were conducted with various known CTx-I concentrations in a buffer solution to obtain a reference curve that was used to quantify the concentration of an analyte in the unknown serum samples. Multivariate chemometric analyses were done to determine the performance viability of the developed system. The analyses suggested that a frequency of 710 Hz is the most discriminating regarding the system sensitivity. A detection limit of 0.147 ng/mL was achieved for the proposed sensor and the corresponding reference curve was linear in the range of 0.147 ng/mL to 2.669 ng/mL. Two sheep blood samples were tested by the developed technique and the results were validated using enzyme-linked immunosorbent assay (ELISA). The results from the proposed technique match those from the ELISA. MDPI 2016-06-24 /pmc/articles/PMC4970028/ /pubmed/27347968 http://dx.doi.org/10.3390/s16070976 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Afsarimanesh, Nasrin
Zia, Asif I.
Mukhopadhyay, Subhas Chandra
Kruger, Marlena
Yu, Pak-Lam
Kosel, Jurgen
Kovacs, Zoltan
Smart Sensing System for the Prognostic Monitoring of Bone Health
title Smart Sensing System for the Prognostic Monitoring of Bone Health
title_full Smart Sensing System for the Prognostic Monitoring of Bone Health
title_fullStr Smart Sensing System for the Prognostic Monitoring of Bone Health
title_full_unstemmed Smart Sensing System for the Prognostic Monitoring of Bone Health
title_short Smart Sensing System for the Prognostic Monitoring of Bone Health
title_sort smart sensing system for the prognostic monitoring of bone health
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970028/
https://www.ncbi.nlm.nih.gov/pubmed/27347968
http://dx.doi.org/10.3390/s16070976
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