2D disposable stochastic sensors for molecular recognition and quantification of maspin in biological samples

Staden, Raluca‐Ioana Stefan‐van; Ilie-Mihai, Ruxandra-Maria; Gheorghe, Damaris-Cristina; Bogea, Iuliana Mihaela; Bădulescu, Marius

doi:10.1007/s00604-022-05214-8

Cited by 12 publications

(7 citation statements)

References 22 publications

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“…Several 3D stochastic microsensors and 2D disposable sensors have been developed for the purpose of conducting screening tests on biological samples such as tears, whole blood, saliva, urine, and tissue samples. These sensors have demonstrated a high level of reliability in detecting various medical conditions including cancer, 25,26 diabetes, 27,28 influenza, 29 and obesity 30 at an early stage.…”

Section: Methodsmentioning

confidence: 99%

3D Stochastic Microsensors for Simultaneous Assay of p53, HER-3, and HER-4 - a Key Factor in the Early Detection of Gastric Cancer

Cioates Negut,

Stefan‑Van Staden,

Ilie-Mihai

et al. 2023

J. Electrochem. Soc.

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The present study reports on the characterization and validation of a 3D stochastic microsensor that utilizes nitrogen, and boron co-doped graphene for the simultaneous determination of p53, HER-3, and HER-4 in biological samples. The synthesis and morphological characterization of nitrogen, and boron co-doped graphene powder was conducted through the utilization of scanning electron microscopy and X-ray powder diffraction techniques. The utilization of the 3D stochastic microsensor based on nitrogen, and boron co-doped graphene for the assay of p53 demonstrated an increased sensitivity and an extended linear concentration range. The limits of quantification for all biomarkers tested were observed to be at the magnitude order of attogram ml−1. The outcomes derived from the application of the suggested stochastic microsensor demonstrated a significant association with biological samples, indicating the prospective dependability of this for screening examinations employed in the molecular identification and quantification of p53, HER-3, and HER-4 in samples of whole blood, gastric tissue tumors, saliva, and urine. The signatures of other biomarkers or substances found in biological samples were found to be higher than those of p53, HER-3, and HER-4, suggesting that the latter do not impede the measurements. The biomarkers demonstrate accurate identification in biological samples, achieving recoveries greater than 98.00% and RSD% values less than 0.05.

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Section: Methodsmentioning

confidence: 99%

3D Stochastic Microsensors for Simultaneous Assay of p53, HER-3, and HER-4 - a Key Factor in the Early Detection of Gastric Cancer

Cioates Negut,

Stefan‑Van Staden,

Ilie-Mihai

et al. 2023

J. Electrochem. Soc.

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“…Standard solutions of various BTC concentrations were used to calibrate the sensor. The t off value (BTC signature) read in the diagrams served for the qualitative analysis, whereas the t on value was found to be related to the BTC concentration through the calibration equation of the sensor 1 / italict on = italica + italicb × italicC BTC where a is the intercept and b is the slope/sensitivity.…”

Section: Methodsmentioning

confidence: 99%

N-Methylfulleropyrrolidine-Based Multimode Sensor for Determination of Butoconazole Nitrate

Tuchiu

Staden

et al. 2022

ACS Omega

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A multimode sensor (a sensor responding simultaneously to more than one mode, e.g., stochastic mode, amperometric mode, voltammetric mode) based on graphite paste modified with N-methylfulleropyrrolidine was proposed for the determination of butoconazole nitrate in its pharmaceutical formulation. The stochastic mode and square wave voltammetry mode were applied for the determinations. Both the stochastic mode and square wave voltammetry mode were applied for a qualitative and quantitative assay of butoconazole nitrate. The sensor can be used between 1.68 × 10 −6 and 1.68 × 10 4 μmol L −1 when the stochastic mode is used and between 0.168 and 16.80 μmol L −1 when the square wave voltammetry mode is used. The multimode sensor was reliably used for the determination of butoconazole nitrate in its pharmaceutical formulation, Gynofort cream, the recorded recoveries being higher than 99.00%, with RSD (%) values of lower than 2.00%.

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“…The procedure is based on the stochastic method applied to a range of biomarkers used for the early detection of different diseases [21][22][23]. The stochastic method used chronoamperometry for which a constant potential (0.125 V vs Ag/AgCl) was applied.…”

Section: Methodsmentioning

confidence: 99%

Simultaneous Molecular Recognition of Interleukins 2 and 4, and of Tumour Necrosis Factor‐α in Biological Samples

2022

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Two 3D stochastic sensors based on singlewalled carbon nanotubes and multi-walled carbon nanotubes decorated with gold nanoparticles and modified with 5,10,15,20-tetrakis (pentafluorophenyl)-21H,23Hporphyrin iron (III) chloride were constructed and utilized for the simultaneous molecular recognition of IL-2, IL-4, and TNF-α in biological samples. The proposed sensors present low limits of quantification, high sensitivity, and wide concentration ranges. Recoveries values higher than 98.2 % of analytes from whole blood and brain tumour tissue samples were obtained.

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2D disposable stochastic sensors for molecular recognition and quantification of maspin in biological samples

Cited by 12 publications

References 22 publications

3D Stochastic Microsensors for Simultaneous Assay of p53, HER-3, and HER-4 - a Key Factor in the Early Detection of Gastric Cancer

3D Stochastic Microsensors for Simultaneous Assay of p53, HER-3, and HER-4 - a Key Factor in the Early Detection of Gastric Cancer

N-Methylfulleropyrrolidine-Based Multimode Sensor for Determination of Butoconazole Nitrate

Simultaneous Molecular Recognition of Interleukins 2 and 4, and of Tumour Necrosis Factor‐α in Biological Samples

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