Open Access
Open access
volume 9 issue 12 pages 14580-14591

Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis

Parisa Dehghani 1
Ataollah Tajabadi 1
Dani S. Assi 1
Anthony Catchpole 2
John Wadsworth 2
Hing Y. Leung 3, 4
Wing H. Leung 3, 4
Publication typeJournal Article
Publication date2024-03-15
scimago Q1
wos Q2
SJR0.773
CiteScore7.1
Impact factor4.3
ISSN24701343
General Chemistry
General Chemical Engineering
Abstract
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 R2 = 0.964 with no significant difference between two groups (p-value = 0.936) was found, thus confirming the reliability of our sensing platform.
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GOST Copy
Dehghani P. et al. Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis // ACS Omega. 2024. Vol. 9. No. 12. pp. 14580-14591.
GOST all authors (up to 50) Copy
Dehghani P., Karthikeyan V., Tajabadi A., Assi D. S., Catchpole A., Wadsworth J., Leung H. Y., Leung W. H., Roy V. Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis // ACS Omega. 2024. Vol. 9. No. 12. pp. 14580-14591.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1021/acsomega.4c00843
UR - https://pubs.acs.org/doi/10.1021/acsomega.4c00843
TI - Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis
T2 - ACS Omega
AU - Dehghani, Parisa
AU - Karthikeyan, Vaithinathan
AU - Tajabadi, Ataollah
AU - Assi, Dani S.
AU - Catchpole, Anthony
AU - Wadsworth, John
AU - Leung, Hing Y.
AU - Leung, Wing H.
AU - Roy, V.A.L.
PY - 2024
DA - 2024/03/15
PB - American Chemical Society (ACS)
SP - 14580-14591
IS - 12
VL - 9
PMID - 38560003
SN - 2470-1343
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Dehghani,
author = {Parisa Dehghani and Vaithinathan Karthikeyan and Ataollah Tajabadi and Dani S. Assi and Anthony Catchpole and John Wadsworth and Hing Y. Leung and Wing H. Leung and V.A.L. Roy},
title = {Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis},
journal = {ACS Omega},
year = {2024},
volume = {9},
publisher = {American Chemical Society (ACS)},
month = {mar},
url = {https://pubs.acs.org/doi/10.1021/acsomega.4c00843},
number = {12},
pages = {14580--14591},
doi = {10.1021/acsomega.4c00843}
}
MLA
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MLA Copy
Dehghani, Parisa, et al. “Rapid Near-Patient Impedimetric Sensing Platform for Prostate Cancer Diagnosis.” ACS Omega, vol. 9, no. 12, Mar. 2024, pp. 14580-14591. https://pubs.acs.org/doi/10.1021/acsomega.4c00843.