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Graphene-based stochastic sensors for pattern recognition of gastric cancer biomarkers in biological fluids

Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021, Bucharest-6, Romania

Faculty of Applied Chemistry and Material Science, University Politehnica of Bucharest, 060042, Bucharest, Romania

E-mail Address: ralucavanstaden@gmail.com

Corresponding author, Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 060021, Bucharest, Romania. tel.: +40751507779.

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Ruxandra-Maria Ilie-Mihai

Laboratory of Electrochemistry and PATLAB, National Institute of Research for Electrochemistry and Condensed Matter, 202 Splaiul Independentei Str., 060021, Bucharest-6, Romania

Faculty of Applied Chemistry and Material Science, University Politehnica of Bucharest, 060042, Bucharest, Romania

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Florina Pogacean

National Institute for Research and Development of Isotopic and Molecular Technologies, Donat Street, No. 67-103, RO-400293, Cluj-Napoca, Romania

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, and

Stela Pruneanu

National Institute for Research and Development of Isotopic and Molecular Technologies, Donat Street, No. 67-103, RO-400293, Cluj-Napoca, Romania

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https://doi.org/10.1142/S1088424619501293Cited by:12 (Source: Crossref)

Abstract

This paper proposes pattern recognition of gastric cancer biomarkers CEA, CA19-9 and p53 in whole blood and urine samples using a stochastic sensor based on exfoliated graphene (E-NGr) paste modified with protoporphyrin IX. The proposed sensor covered large ranges of concentrations: 1 × 10 $^{- 12}$ $^{- 12}$ –1 × 10 $^{- 7} μ$ $^{- 7} μ$ g/mL for CEA, 1 × 10 $^{- 13}$ $^{- 13}$ –1 × 10² U/mL for CA19-9, and 0.2–5.0 $μ$ $μ$ g/mL for p53. These ranges allowed the determination of the three biomarkers from early to latest stages of gastric cancer. Validation of the pattern recognition of gastric cancer biomarkers was accomplished using biological samples: whole blood and urine.

This paper is part of the 2019 Women in Porphyrin Science special issue.

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References

1. Lambert R, Saito H, Lucas E and Sankaranarayanan R. Eur. J. Gastroenterol. Hepatol. 2012; 24: 605–612. Crossref, Web of Science, Google Scholar
2. Bagaria B, Sood S, Sharma R and Lalwani S. Cancer Biol. Med. 2013; 10: 148–157. Google Scholar
3. Gold P and Freedman SO. J. Exp. Med. 1965; 121: 439–462. Crossref, Web of Science, Google Scholar
4. Gold P and Freedman SO. J. Exp. Med. 1965; 122: 467–481. Crossref, Web of Science, Google Scholar
5. Vallbohmer D, Drebber U, Schneider PM, Baldus S, Bollschweiler E, Brabender J, Warnecke-Eberz U, Mönig S, Hölscher AH and Metzger R. J. Surg. Oncol. 2009; 99: 409–413. Crossref, Web of Science, Google Scholar
6. Li X, Zhang Y, Zhang Y, Ding J, Wu K and Fan D. Gut 2010; 59: 579–585. Crossref, Web of Science, Google Scholar
7. Ahn HS, Lee H-J, Yoo M-W, Jeong S-H, Park D-J, Kim H-H, Kim WH, Lee KU and Yang H-K. Br. J. Surg. 2011; 98: 255–260. Crossref, Web of Science, Google Scholar
8. Chen M, Zhao C, Xu Q, Nie B, Xu L, Weng S and Line X. Anal. Meth. 2015; 7: 10339–10344. Crossref, Web of Science, Google Scholar
9. Feng T, Qiao X, Wang H, Sun Z, Qi Y and Hong C. J. Mater. Chem. B 2016; 4: 990–996. Crossref, Web of Science, Google Scholar
10. Samanman S, Numnuam A, Limbut W, Kanatharana P and Thavarungkul P. Anal. Chim. Acta 2015; 853: 521– 532. Crossref, Web of Science, Google Scholar
11. Yu Y, Zhang Q, Buscaglia J, Chang C, Liu Y, Yang Z, Guo Y, Wang Y, Levon K and Rafailovich M. Analyst 2016; 141: 4424–4431. Crossref, Web of Science, Google Scholar
12. Hébert C, Scorsone E, Mermoux M and Bergonzo P. Carbon 2015; 90: 102–109. Crossref, Web of Science, Google Scholar
13. Gugoasa L, Stefan-van Staden RI, Al-Ogaidi A, Stanciu-Gavan C, van Staden J, Rosu M and Pruneanu S. J. Electrochem. Soc. 2017; 164: B443–B447. Crossref, Web of Science, Google Scholar
14. Justino CIL, Gomes AR, Freitas AC, Duarte AC, Rocha-Santos TAP. TrAC, Trends Anal. Chem. 2017; 91: 53–66. Crossref, Web of Science, Google Scholar
15. Qian Y, Liu B, Duan W and Zeng Q. J. Porphyrins Phthalocyanines 2018; 22: 717–725. Link, Web of Science, Google Scholar
16. Huang DL, Wang J, Yuan HQ, Guo HS, Ying X, Zhang H and Liu HY. J. Porphyrins Phthalocyanines 2018; 22: 853–862. Link, Web of Science, Google Scholar
17. Pogacean F, Coros M, Magerusan L, Mirel V, Turza A, Katona G, Stefan-van Staden RI and Pruneanu S. Talanta 2019; 196: 182–190. Crossref, Web of Science, Google Scholar