A Self-Calibrating IoT Portable Electrochemical Immunosensor for Serum Human Epididymis Protein 4 as a Tumor Biomarker for Ovarian Cancer

Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for the point-of-care accurate screening of disease biomarkers, such as human epididymis protein 4 (HE4), a recently discovered serum marker for early ovarian cancer diagnosis. In this context, the pres...

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Published in:Sensors (Basel, Switzerland) Vol. 20; no. 7; p. 2016
Main Authors: Bianchi, Valentina, Mattarozzi, Monica, Giannetto, Marco, Boni, Andrea, De Munari, Ilaria, Careri, Maria
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 03-04-2020
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Abstract Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for the point-of-care accurate screening of disease biomarkers, such as human epididymis protein 4 (HE4), a recently discovered serum marker for early ovarian cancer diagnosis. In this context, the present work represents the first implementation of a competitive enzyme-labelled magneto-immunoassay exploiting a homemade IoT Wi-Fi cloud-based portable potentiostat for differential pulse voltammetry readout. The electrochemical device was specifically designed to be capable of autonomous calibration and data processing, switching between calibration, and measurement modes: in particular, firstly, a baseline estimation algorithm is applied for correct peak computation, then calibration function is built by interpolating data with a four-parameter logistic function. The calibration function parameters are stored on the cloud for inverse prediction to determine the concentration of unknown samples. Interpolation function calibration and concentration evaluation are performed directly on-board, thus reducing the power consumption. The analytical device was validated in human serum, demonstrating good sensing performance for analysis of HE4 with detection and quantitation limits in human serum of 3.5 and 29.2 pM, respectively, reaching the sensitivity that is required for diagnostic purposes, with high potential for applications as portable and smart diagnostic tool for point-of-care testing.
AbstractList Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for the point-of-care accurate screening of disease biomarkers, such as human epididymis protein 4 (HE4), a recently discovered serum marker for early ovarian cancer diagnosis. In this context, the present work represents the first implementation of a competitive enzyme-labelled magneto-immunoassay exploiting a homemade IoT Wi-Fi cloud-based portable potentiostat for differential pulse voltammetry readout. The electrochemical device was specifically designed to be capable of autonomous calibration and data processing, switching between calibration, and measurement modes: in particular, firstly, a baseline estimation algorithm is applied for correct peak computation, then calibration function is built by interpolating data with a four-parameter logistic function. The calibration function parameters are stored on the cloud for inverse prediction to determine the concentration of unknown samples. Interpolation function calibration and concentration evaluation are performed directly on-board, thus reducing the power consumption. The analytical device was validated in human serum, demonstrating good sensing performance for analysis of HE4 with detection and quantitation limits in human serum of 3.5 and 29.2 pM, respectively, reaching the sensitivity that is required for diagnostic purposes, with high potential for applications as portable and smart diagnostic tool for point-of-care testing.
Author Giannetto, Marco
Bianchi, Valentina
Careri, Maria
Boni, Andrea
Mattarozzi, Monica
De Munari, Ilaria
AuthorAffiliation 2 Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy; maria.careri@unipr.it
1 Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy; valentina.bianchi@unipr.it (V.B.); andrea.boni@unipr.it (A.B.); ilaria.demunari@unipr.it (I.D.M.)
AuthorAffiliation_xml – name: 2 Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy; maria.careri@unipr.it
– name: 1 Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy; valentina.bianchi@unipr.it (V.B.); andrea.boni@unipr.it (A.B.); ilaria.demunari@unipr.it (I.D.M.)
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  givenname: Valentina
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  surname: Bianchi
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  givenname: Monica
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  surname: Mattarozzi
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  givenname: Maria
  orcidid: 0000-0002-4558-5001
  surname: Careri
  fullname: Careri, Maria
  organization: Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32260240$$D View this record in MEDLINE/PubMed
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Keywords WiFi portable potentiostat
Internet of Things
on-board calibration
human epididymis protein 4
competitive electrochemical immunosensor
Language English
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Snippet Nowadays, analytical techniques are moving towards the development of smart biosensing strategies for the point-of-care accurate screening of disease...
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SubjectTerms Algorithms
Antigens
Biomarkers
Biomarkers, Tumor - blood
Biomarkers, Tumor - standards
Calibration
Cancer therapies
Communication
competitive electrochemical immunosensor
Data processing
Diagnostic software
Diagnostic systems
Electrochemical Techniques
Electrodes
Enzymes
Female
Gynecology
human epididymis protein 4
Humans
Immunoassay
Immunoassay - methods
Immunoassay - standards
Immunosensors
Internet of Things
Interpolation
Limit of Detection
Magnetics
Medical prognosis
on-board calibration
Ovarian cancer
Ovarian Neoplasms - diagnosis
Phosphatase
Point-of-Care Systems
Portable equipment
Proteins
Software
Voltammetry
WAP Four-Disulfide Core Domain Protein 2 - analysis
WAP Four-Disulfide Core Domain Protein 2 - standards
WiFi portable potentiostat
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Title A Self-Calibrating IoT Portable Electrochemical Immunosensor for Serum Human Epididymis Protein 4 as a Tumor Biomarker for Ovarian Cancer
URI https://www.ncbi.nlm.nih.gov/pubmed/32260240
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