Disposable Stochastic Sensor Based on Deposition of a Nanolayer of Silver on Silk for Molecular Recognition of Specific Biomarkers

Staden, Raluca‐Ioana Stefan‐van; Gheorghe, Sorin Sebastian; Ilie-Mihai, Ruxandra-Maria; Bădulescu, Marius

doi:10.1149/1945-7111/abeea2

Cited by 7 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To address the necessities of clinical practice for the molecular recognition and determination of IDH1 and IDH2 in biological samples, we developed a reliable, fast, and cost-effective screening method based on the utilization of stochastic microsensors-the only type of sensors able to perform qualitative and quantitative analysis [13][14][15]. The stochastic microsensors were based on immobilization of a solution of PIX in SWCNT and MWCNT decorated with Cu and Au nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Microsensors Based on Carbon Nanotubes for Molecular Recognition of the Isocitrate Dehydrogenases 1 and 2

et al. 2022

Self Cite

View full text Add to dashboard Cite

Two three-dimensional (3D) stochastic microsensors based on immobilization of protoporphyrin IX (PIX) in single-walled carbon nanotubes (SWCNT) and multi-walled carbon nanotubes (MWCNT) decorated with copper (Cu) and gold (Au) nanoparticles were designed and used for the molecular recognition of isocitrate dehydrogenase 1 (IDH1) and isocitrate dehydrogenase 2 (IDH2) in biological samples (brain tumor tissues, whole blood). The linear concentration ranges obtained for the molecular recognition and quantification of IDH1 and IDH2 were: IDH1 (1 × 10−5–1 × 102 ng mL−1) and IDH2 (5 × 10−8–5 × 102 ng mL−1). The limits of quantification obtained using the proposed microsensors were: 10 fg mL−1 for IDH1 and 5 × 10−3 fg mL−1 for IDH2. The highest sensitivities were obtained for the microsensor based on MWCNT. High recoveries versus enzyme-linked immunosorbent assay (ELISA) standard method were recorded for the assays of IDH1 and IDH2, all values being higher than 99.00%, with relative standard deviations (RSD) lower than 0.10%.

show abstract

Section: Introductionmentioning

confidence: 99%

Stochastic Microsensors Based on Carbon Nanotubes for Molecular Recognition of the Isocitrate Dehydrogenases 1 and 2

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…4 Early identification, in turn, enhances the feasibility of implementing therapeutic interventions aimed at stopping the progression of the disease. 5 Biomarkers like tumor protein p53, human epidermal growth factor receptor 3 (HER-3), and human epidermal growth factor receptor 4 (HER-4) have been found to have noteworthy clinical implications in the control of diverse human malignancies [6][7][8][9] including but not limited to brain cancer, breast cancer, prostate cancer, pancreatic cancer, ovarian cancer, and colorectal cancer.…”

mentioning

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Disposable stochastic sensors obtained by nanolayer deposition of copper, graphene, and copper-graphene composite on silk for the determination of isocitrate dehydrogenases 1 and 2

et al. 2022

View full text Add to dashboard Cite

Disposable Stochastic Sensor Based on Deposition of a Nanolayer of Silver on Silk for Molecular Recognition of Specific Biomarkers

Cited by 7 publications

References 17 publications

Stochastic Microsensors Based on Carbon Nanotubes for Molecular Recognition of the Isocitrate Dehydrogenases 1 and 2

Stochastic Microsensors Based on Carbon Nanotubes for Molecular Recognition of the Isocitrate Dehydrogenases 1 and 2

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

Disposable stochastic sensors obtained by nanolayer deposition of copper, graphene, and copper-graphene composite on silk for the determination of isocitrate dehydrogenases 1 and 2

Contact Info

Product

Resources

About