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Critical Reviews™ in Biomedical Engineering

Publication de 6  numéros par an

ISSN Imprimer: 0278-940X

ISSN En ligne: 1943-619X

SJR: 0.262 SNIP: 0.372 CiteScore™:: 2.2 H-Index: 56

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Toward a Label-Free Electrochemical Impedance Immunosensor Design for Quantifying Cortisol in Tears

Volume 47, Numéro 3, 2019, pp. 207-215
DOI: 10.1615/CritRevBiomedEng.2019026109
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RÉSUMÉ

Cortisol is a viable biomarker for monitoring physiological, occupational, and emotional stress and is normally present in tear fluid at approximately 40 nM, or higher as a result of stress. We present characterization and quantification of cortisol via several electrochemical methods versus the standard enzyme-linked immunosorbent assay, commonly known as ELISA. We also present a prototyped design of a disposable test strip and handheld sensor based on label-free electrochemical impedance spectroscopy to quantify cortisol levels in tear fluid within approximately 90 seconds. Electrochemical characterization of the cortisol molecule was conducted using cyclic voltammetry, amperometric i-t, and square wave voltammetry. Lower limits of detection for these techniques were not sufficient to quantify cortisol and phycological tear ranges: 0.1 M, 0.23 M, and 193 M for cyclic voltammetry, amperometric i-t, and square wave voltammetry, respectively. However, electrochemical impedance spectroscopy (EIS) was to be the best mode of cortisol quantification and comparison to ELISA technique (detection range of ~ 138 pM – 552 nM). The initial EIS biosensor obtained a lower limit of detection of 59.76 nM with an approximate 10% relative standard deviation. The cortisol assay and tear collection prototype presented here offer a highly reproducible and ultra-low level of detection with a label-free and rapid response.

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CITÉ PAR
  1. Barmada Anis, Shippy Scott A., Tear analysis as the next routine body fluid test, Eye, 34, 10, 2020. Crossref

  2. Strong Madison E., Richards Jeffrey R., Torres Manuel, Beck Connor M., La Belle Jeffrey T., Faradaic electrochemical impedance spectroscopy for enhanced analyte detection in diagnostics, Biosensors and Bioelectronics, 177, 2021. Crossref

  3. Sempionatto Juliane R., Jeerapan Itthipon, Krishnan Sadagopan, Wang Joseph, Wearable Chemical Sensors: Emerging Systems for On-Body Analytical Chemistry, Analytical Chemistry, 92, 1, 2020. Crossref

  4. Rison Sherin, Rajeev Rijo, Bhat Vinay S., Mathews Agnus T., Varghese Anitha, Hegde Gurumurthy, Non-enzymatic electrochemical determination of salivary cortisol using ZnO-graphene nanocomposites, RSC Advances, 11, 60, 2021. Crossref

  5. Anthi Judita, Kolivoška Viliam, Holubová Barbora, Vaisocherová-Lísalová Hana, Probing polymer brushes with electrochemical impedance spectroscopy: a mini review, Biomaterials Science, 9, 22, 2021. Crossref

  6. Klangprapan Supaporn, Weng Chang-Ching, Huang Wan-Ting, Li Yaw-Kuen, Choowongkomon Kiattawee, Selection and Characterization of a Single-Chain Variable Fragment against Porcine Circovirus Type 2 Capsid and Impedimetric Immunosensor Development, ACS Omega, 6, 37, 2021. Crossref

  7. Ku Minjae, Kim Joohee, Won Jong-Eun, Kang Wonkyu, Park Young-Geun, Park Jihun, Lee Jae-Hyun, Cheon Jinwoo, Lee Hyun Ho, Park Jang-Ung, Smart, soft contact lens for wireless immunosensing of cortisol, Science Advances, 6, 28, 2020. Crossref

  8. Zea Miguel, Bellagambi Francesca G., Ben Halima Hamdi, Zine Nadia, Jaffrezic-Renault Nicole, Villa Rosa, Gabriel Gemma, Errachid Abdelhamid, Electrochemical sensors for cortisol detections: Almost there, TrAC Trends in Analytical Chemistry, 132, 2020. Crossref

  9. Masoudi Simin, Biochemistry of human tear film: A review, Experimental Eye Research, 220, 2022. Crossref

  10. Ozdalgic Berin, Gul Munire, Uygun Zihni Onur, Atçeken Nazente, Tasoglu Savas, Emerging Applications of Electrochemical Impedance Spectroscopy in Tear Film Analysis, Biosensors, 12, 10, 2022. Crossref

  11. Ben Halima Hamdi, Zine Nadia, Bausells Joan, Jaffrezic-Renault Nicole, Errachid Abdelhamid, A Novel Cortisol Immunosensor Based on a Hafnium Oxide/Silicon Structure for Heart Failure Diagnosis, Micromachines, 13, 12, 2022. Crossref

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