Smart Sensing System for the Prognostic Monitoring of Bone Health

Handle URI:
http://hdl.handle.net/10754/615931
Title:
Smart Sensing System for the Prognostic Monitoring of Bone Health
Authors:
Afsarimanesh, Nasrin; Zia, Asif; Mukhopadhyay, Subhas; Kruger, Marlena; Yu, Pak-Lam; Kosel, Jürgen ( 0000-0002-8998-8275 ) ; Kovacs, Zoltan
Abstract:
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.
KAUST Department:
Sensing, Magnetism and Microsystems Lab
Citation:
Smart Sensing System for the Prognostic Monitoring of Bone Health 2016, 16 (7):976 Sensors
Publisher:
MDPI AG
Journal:
Sensors
Issue Date:
24-Jun-2016
DOI:
10.3390/s16070976
Type:
Article
ISSN:
1424-8220
Sponsors:
The authors would like to thank school of Engineering and advanced technology and School of Health, Massey University, Palmerston North, New Zealand, for providing the best research facilities. Special thanks to Gabrielle Plimmer, Diana Cabrera Amaro and to all whom that had fruitful discussions and collaborations with the authors.
Additional Links:
http://www.mdpi.com/1424-8220/16/7/976
Appears in Collections:
Articles

Full metadata record

DC FieldValue Language
dc.contributor.authorAfsarimanesh, Nasrinen
dc.contributor.authorZia, Asifen
dc.contributor.authorMukhopadhyay, Subhasen
dc.contributor.authorKruger, Marlenaen
dc.contributor.authorYu, Pak-Lamen
dc.contributor.authorKosel, Jürgenen
dc.contributor.authorKovacs, Zoltanen
dc.date.accessioned2016-07-11T09:57:33Z-
dc.date.available2016-07-11T09:57:33Z-
dc.date.issued2016-06-24-
dc.identifier.citationSmart Sensing System for the Prognostic Monitoring of Bone Health 2016, 16 (7):976 Sensorsen
dc.identifier.issn1424-8220-
dc.identifier.doi10.3390/s16070976-
dc.identifier.urihttp://hdl.handle.net/10754/615931-
dc.description.abstractThe 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.en
dc.description.sponsorshipThe authors would like to thank school of Engineering and advanced technology and School of Health, Massey University, Palmerston North, New Zealand, for providing the best research facilities. Special thanks to Gabrielle Plimmer, Diana Cabrera Amaro and to all whom that had fruitful discussions and collaborations with the authors.en
dc.language.isoenen
dc.publisherMDPI AGen
dc.relation.urlhttp://www.mdpi.com/1424-8220/16/7/976en
dc.rightsThis is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/en
dc.subjectbone turnover markersen
dc.subjectinterdigital sensorsen
dc.subjectEnzyme-Linked Immunosorbent Assay (ELISA)en
dc.subjectElectrochemical Impedance Spectroscopy (EIS)en
dc.titleSmart Sensing System for the Prognostic Monitoring of Bone Healthen
dc.typeArticleen
dc.contributor.departmentSensing, Magnetism and Microsystems Laben
dc.identifier.journalSensorsen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionSchool of Engineering and Advanced Technology, Massey University, Palmerston North 4442, New Zealanden
dc.contributor.institutionDepartment of Engineering, Macquarie University, North Ryde NSW 2109, Australiaen
dc.contributor.institutionInstitute of Food Science and Technology, Massey University, Palmerston North 4442, New Zealanden
dc.contributor.institutionDepartment of Physics and Control, Faculty of Food Science, Szent István University, Budapest H-1118, Hungaryen
dc.contributor.institutionDepartment of Physics, COMSATS Institute of Science and Technology, Islamabad 45550, Pakistanen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorKosel, Jürgenen
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