A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology

Nasrin Afsarimanesh, Md. Eshrat E. Alahi, Subhas Mukhopadhyay, Marlena Kruger

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

Abstract

This research reports a novel label-free sensing method for the measurement of C-telopeptide of Type-I collagen (CTX-1) in order to monitor bone turnover at an early stage. An interdigital sensor jointly with Electrochemical Impedance Spectroscopy (EIS) was used to study the resistive and capacitive properties of samples. Molecular Imprinted Polymers (MIPs) containing recognition sites for CTX-1 molecules were synthesized. The sensor was coated with the prepared MIPs to increase the sensitivity of the sensor to CTX-1. Different known concentration samples were tested and the sensitivity curve was plotted. The Nyquist fitted Curve and its equivalent Randle's circuit was estimated using a complex non-linear least square method (CNLS). The initial results are promising for further development of an inexpensive and portable device for early detection of bone turnover, so therapy can be started earlier.

LanguageEnglish
Title of host publication2017 Eleventh International Conference on Sensing Technology (ICST)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages6-11
Number of pages6
ISBN (Electronic)9781509065264, 9781509065257
ISBN (Print)9781509065271
DOIs
Publication statusPublished - 2017
Event2017 Eleventh International Conference on Sensing Technology - Sydney, Australia
Duration: 4 Dec 20176 Dec 2017
Conference number: 11th

Conference

Conference2017 Eleventh International Conference on Sensing Technology
Abbreviated titleICST
CountryAustralia
CitySydney
Period4/12/176/12/17

Fingerprint

Biosensors
Bone
Sensors
Polymers
Electrochemical impedance spectroscopy
Collagen
Equivalent circuits
Labels
Molecules

Keywords

  • C-terminal telopeptide of type-I collagen (CTX-1)
  • Molecular Imprinting Polymer (MIP)
  • capacitive interdigital sensor
  • Electrochemical Impedance Spectroscopy (EIS)

Cite this

Afsarimanesh, N., Alahi, M. E. E., Mukhopadhyay, S., & Kruger, M. (2017). A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology. In 2017 Eleventh International Conference on Sensing Technology (ICST): proceedings (pp. 6-11). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICSensT.2017.8304442
Afsarimanesh, Nasrin ; Alahi, Md. Eshrat E. ; Mukhopadhyay, Subhas ; Kruger, Marlena. / A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology. 2017 Eleventh International Conference on Sensing Technology (ICST): proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 6-11
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Afsarimanesh, N, Alahi, MEE, Mukhopadhyay, S & Kruger, M 2017, A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology. in 2017 Eleventh International Conference on Sensing Technology (ICST): proceedings. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 6-11, 2017 Eleventh International Conference on Sensing Technology, Sydney, Australia, 4/12/17. https://doi.org/10.1109/ICSensT.2017.8304442

A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology. / Afsarimanesh, Nasrin; Alahi, Md. Eshrat E.; Mukhopadhyay, Subhas; Kruger, Marlena.

2017 Eleventh International Conference on Sensing Technology (ICST): proceedings. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 6-11.

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionResearchpeer-review

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Afsarimanesh N, Alahi MEE, Mukhopadhyay S, Kruger M. A novel electrochemical biosensor for bone turnover detection based on molecular imprinting technology. In 2017 Eleventh International Conference on Sensing Technology (ICST): proceedings. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 6-11 https://doi.org/10.1109/ICSensT.2017.8304442