Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis.


Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
26 Mar 2024
Historique:
received: 25 01 2024
accepted: 01 03 2024
medline: 1 4 2024
pubmed: 1 4 2024
entrez: 1 4 2024
Statut: epublish

Résumé

With the global escalation of concerns surrounding prostate cancer (PCa) diagnosis, reliance on the serologic prostate-specific antigen (PSA) test remains the primary approach. However, the imperative for early PCa diagnosis necessitates more effective, accurate, and rapid diagnostic point-of-care (POC) devices to enhance the result reliability and minimize disease-related complications. Among POC approaches, electrochemical biosensors, known for their amenability and miniaturization capabilities, have emerged as promising candidates. In this study, we developed an impedimetric sensing platform to detect urinary zinc (UZn) in both artificial and clinical urine samples. Our approach lies in integrating label-free impedimetric sensing and the introduction of porosity through surface modification techniques. Leveraging a cellulose acetate/reduced graphene oxide composite, our sensor's recognition layer is engineered to exhibit enhanced porosity, critical for improving the sensitivity, capture, and interaction with UZn. The sensitivity is further amplified by incorporating zincon as an external dopant, establishing highly effective recognition sites. Our sensor demonstrates a limit of detection of 7.33 ng/mL in the 0.1-1000 ng/mL dynamic range, which aligns with the reference benchmark samples from clinical biochemistry. Our sensor results are comparable with the results of inductively coupled plasma mass spectrometry (ICP-MS) where a notable correlation of 0.991 is achieved. To validate our sensor in a real-life scenario, tests were performed on human urine samples from patients being investigated for prostate cancer. Testing clinical urine samples using our sensing platform and ICP-MS produced highly comparable results. A linear correlation with

Identifiants

pubmed: 38560003
doi: 10.1021/acsomega.4c00843
pmc: PMC10976404
doi:

Types de publication

Journal Article

Langues

eng

Pagination

14580-14591

Informations de copyright

© 2024 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Auteurs

Parisa Dehghani (P)

James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

Vaithinathan Karthikeyan (V)

James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

Ataollah Tajabadi (A)

James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

Dani S Assi (DS)

James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

Anthony Catchpole (A)

Scottish Trace Element and Micronutrient Diagnostic and Research Laboratory, Department of Biochemistry, Royal Infirmary, Glasgow G31 2ER, U.K.

John Wadsworth (J)

Scottish Trace Element and Micronutrient Diagnostic and Research Laboratory, Department of Biochemistry, Royal Infirmary, Glasgow G31 2ER, U.K.

Hing Y Leung (HY)

School of Cancer Sciences, MVLS, University of Glasgow, Glasgow G61 1BD, U.K.
Cancer Research UK Scotland Institute, Glasgow G61 1BD, U.K.

Vellaisamy A L Roy (VAL)

School of Science and Technology, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong.

Classifications MeSH