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

2019 ◽  
Vol 23 (11n12) ◽  
pp. 1365-1370 ◽  
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Ruxandra-Maria Ilie-Mihai ◽  
Florina Pogacean ◽  
Stela Pruneanu

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[Formula: see text]–1 × 10[Formula: see text]g/mL for CEA, 1 × 10[Formula: see text]–1 × 102 U/mL for CA19-9, and 0.2–5.0 [Formula: see text]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.

Proceedings ◽  
2020 ◽  
Vol 55 (1) ◽  
pp. 14
Author(s):  
Sorin Sebastian Gheorghe ◽  
Ruxandra Maria Ilie-Mihai ◽  
Raluca-Ioana Stefan-van Staden ◽  
Alexandru Bratei

Interleukins proved to be valuable biomarkers for different diseases. Interleukins 1β, 6, and 12 can be used as biomarkers for brain cancer diagnosis, and therefore this paper proposed a needle stochastic sensor based on protoporphyrin IX immobilized in nano-diamond paste for fast screening of biological samples, such as whole blood, urine and brain tumoral tissue, for these interleukins. The results obtained using this needle stochastic sensor proved that the interleukins 1β, 6, and 12 can be reliably determined from whole blood, urine and brain tumoral tissue, with recoveries higher than 96.00% and with relative standard deviations lower than 1.00%. The validation of the method was performed using whole blood and tissue samples collected from the patients confirmed with brain tumor.


2021 ◽  
pp. 1042-1047
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Ruxandra-Maria Ilie-Mihai ◽  
Florina Pogacean ◽  
Stela Pruneanu

2019 ◽  
Vol 43 (13) ◽  
pp. 5196-5201 ◽  
Author(s):  
Raluca-Ioana Stefan-van Staden ◽  
Alexandrina Lungu-Moscalu ◽  
Jacobus Frederick van Staden

Modified graphene paste stochastic sensors detect melatonin in biological fluids, whole blood, and pharmaceutical products.


2005 ◽  
Vol 85 (4) ◽  
pp. 533-536 ◽  
Author(s):  
Alain Giguère ◽  
Marie-Ève Fortier ◽  
J. Jacques Matte

The reliable assessment of selenium in biological samples is generally technically difficult to achieve and requires a large amount of material. The described fluorometric method was validated using certified standard material of Durum Wheat Flour, Bovine Muscle Powder, Whole Egg Powder and serum and was tested on pig whole blood and fresh egg. The technique was found to be fast, sensitive and robust for a reliable determination of Se in small amounts (< 50 mg or 100 µL) of biological samples. Key words: Selenium, analysis, biological samples


2015 ◽  
Vol 7 (7) ◽  
pp. 2959-2967 ◽  
Author(s):  
Fateme Tajabadi ◽  
Mahnaz Ghambarian ◽  
Yadollah Yamini

Three-phase hollow fiber microextraction based on two immiscible organic solvents for extraction and preconcentration of three statins in biological samples.


Bioimpacts ◽  
2017 ◽  
Vol 8 (4) ◽  
pp. 263-270
Author(s):  
Mohammad Johari-Ahar ◽  
Jaleh Barar ◽  
Pari Karami ◽  
Davoud Asgari ◽  
Soodabeh Davaran ◽  
...  

Introduction: Dopamine is one of the key neurotransmitters (NTs) in nature, which plays a crucial role in the mammalian central nervous system (CNS). Its selective determination in the biological fluids is an essential need in the field of biomedicine studies. Methods: In this work, an amperometric sensor was developed using Nafion-coated cadmium pentacyanonitrosylferrate (CdPCNF) modified glassy carbon (GC) electrode (Nafion|CdPCNF|GC electrode) as an electrocatalyst to detect dopamine (DA) in human serum samples. To develop this sensor, the surface of bare GC electrode was coated with the film of CdPCNF through an electropolymerization method and then the modified electrode was coated with Nafion to minimize interferences, especially those arising from the presence of anionic compounds. The electrocatalytic behavior of the modified electrodes was studied using the cyclic voltammetry and amperometry, and then the ability of the sensor for the determination of DA in synthetic and biological samples was investigated. Results: The modified electrode was showed a significant electrocatalytic activity for the oxidation of DA at pH 7.4. The limit of detection (LOD) was 0.7 µM and also no interference effects arose from ascorbic acid (AA), uric acid (UA) or the other biological NTs was observed in the DA detection using the modified Nafion|CdPCNF|GC electrode. Conclusion: In comparison with the bare electrode, the Nafion|CdPCNF|GC electrode could determine DA in the biological samples with adequate sensitivity and selectivity. Therefore, we propose that the modified electrode is utilizable as an amperometric DA sensor for the biological sample analysis.


Sign in / Sign up

Export Citation Format

Share Document