An electrochemical aptasensor based on gold nanoparticles and graphene oxide doped poly(3,4-ethylenedioxythiophene) nanocomposite for detection of MUC1

Gupta, Pernika; Bharti, Anu; Kaur, Navpreet; Singh, Suman; Prabhakar, Nirmal

doi:10.1016/j.jelechem.2018.02.014

Cited by 52 publications

(20 citation statements)

References 56 publications

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“…For PEDOT, the absorption band at around 1495 cm –1 and 1391 cm –1 originates from the interring C=C or C−C stretch of the thiophene ring of PEDOT . The bands at 1253 cm –1 and 1050 cm –1 are due to the C−O‐C bending in ethylenedioxy group, the band at 964 cm –1 is the result of the stretching vibrations of C−S‐C bond in the thiophene ring . For PANI, The bands at 1492 cm –1 and 1571 cm −1 are due to the absorb vibration of C=C of benzene structure and C−C of quinone rings, respectively .…”

Section: Resultsmentioning

confidence: 99%

Electrodeposition of Three‐Dimensional Network Nanostructure PEDOT/PANI for Simultaneous Voltammetric Detection of Ascorbic Acid, Dopamine and Uric Acid

et al. 2020

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In this study, poly(3,4-ethylenedioxythiophene) (PEDOT) and polyaniline (PANI) were electrodeposited via cyclic voltammetry (CV) on glass carbon electrode (GCE) layer by layer. The prepared electrode (GCE/PEDOT/PANI) was used for the simultaneous sensitive determination of ascorbic acid (AA), dopamine (DA) and uric acid (UA) at different oxidation potentials. The peak distances of AA and DA, DA and UA, AA and UA were 216 mV, 104 mV, 320 mV, respectively. For individual detection of AA, DA and UA, the linear ranges were 1 × 10 À 4 -1 × 10 À 2 M, 3 × 10 À 5 -1 × 10 À 3 M and 7 × 10 À 7 -1 × 10 À 4 M with detection limits of 2.42 × 10 À 5 M, 4.58 × 10 À 6 M and 2.38 × 10 À 7 M (S/N = 3), respectively. For simultaneous detection of AA, DA, and UA, the linear response ranges were 1 × 10 À 4 -1 × 10 À 3 M, 3 × 10 À 4 -1 × 10 À 2 M, and 3 × 10 À 6 -1 × 10 À 4 M with detection limits of 6.91 × 10 À 5 M, 3.66 × 10 À 5 M and 4.13 × 10 À 7 M (S/ N = 3), respectively. The GCE/PEDOT/PANI displayed good selectivity, reproducibility and storage stability, and was further applied to the detection of AA, DA, and UA in 5% normal human serum samples.

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Section: Resultsmentioning

confidence: 99%

Electrodeposition of Three‐Dimensional Network Nanostructure PEDOT/PANI for Simultaneous Voltammetric Detection of Ascorbic Acid, Dopamine and Uric Acid

et al. 2020

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“…Chen et al designed an electrochemical DNA biosensor based on Ag NPs-3D graphene foam for sensitively and specifically detecting the biomarker CYFRA21-1 DNA from a non-small cell in lung cancer [60]. Electrochemical Biosensing is an effective and fast strategy for early clinical diagnosis of cancer, which has been further confirmed by other similar works [61,62,63,64,65,66].…”

Section: Graphene Based Cancer Nanociagnosismentioning

confidence: 87%

Biomarkers-based Biosensing and Bioimaging with Graphene for Cancer Diagnosis

Tang

Xiong

et al. 2019

Nanomaterials

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At the onset of cancer, specific biomarkers get elevated or modified in body fluids or tissues. Early diagnosis of these biomarkers can greatly improve the survival rate or facilitate effective treatment with different modalities. Potential nanomaterial-based biosensing and bioimaging are the main techniques in nanodiagnostics because of their ultra-high selectivity and sensitivity. Emerging graphene, including two dimensional (2D) graphene films, three dimensional (3D) graphene architectures and graphene hybrids (GHs) nanostructures, are attracting increasing interests in the field of biosensing and bioimaging. Due to their remarkable optical, electronic, and thermal properties; chemical and mechanical stability; large surface area; and good biocompatibility, graphene-based nanomaterials are applicable alternatives as versatile platforms to detect biomarkers at the early stage of cancer. Moreover, currently, extensive applications of graphene-based biosensing and bioimaging has resulted in promising prospects in cancer diagnosis. We also hope this review will provide critical insights to inspire more exciting researches to address the current remaining problems in this field.

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“…An even simpler in construction electrochemical aptasensor was designed using screen-printed carbon electrodes (SPCEs) modified with MWCNTs functionalised by using diazonium salt chemistry for the aptamer immobilisation and a ferricyanide redox indicator [ 144 ]. The grafted benzoic acid functional groups were further activated by EDC and reacted with the amino-terminated aptamer; in addition, the electrode was blocked by BSA to deactivate the remaining terminal groups and unreacted sites.…”

Section: Electrochemical Assays For Cancer Biomarkersmentioning

confidence: 99%

Design Strategies for Electrochemical Aptasensors for Cancer Diagnostic Devices

Malecka

Mikuła

Ferapontova

2021

Sensors

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Improved outcomes for many types of cancer achieved during recent years is due, among other factors, to the earlier detection of tumours and the greater availability of screening tests. With this, non-invasive, fast and accurate diagnostic devices for cancer diagnosis strongly improve the quality of healthcare by delivering screening results in the most cost-effective and safe way. Biosensors for cancer diagnostics exploiting aptamers offer several important advantages over traditional antibodies-based assays, such as the in-vitro aptamer production, their inexpensive and easy chemical synthesis and modification, and excellent thermal stability. On the other hand, electrochemical biosensing approaches allow sensitive, accurate and inexpensive way of sensing, due to the rapid detection with lower costs, smaller equipment size and lower power requirements. This review presents an up-to-date assessment of the recent design strategies and analytical performance of the electrochemical aptamer-based biosensors for cancer diagnosis and their future perspectives in cancer diagnostics.

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An electrochemical aptasensor based on gold nanoparticles and graphene oxide doped poly(3,4-ethylenedioxythiophene) nanocomposite for detection of MUC1

Cited by 52 publications

References 56 publications

Electrodeposition of Three‐Dimensional Network Nanostructure PEDOT/PANI for Simultaneous Voltammetric Detection of Ascorbic Acid, Dopamine and Uric Acid

Electrodeposition of Three‐Dimensional Network Nanostructure PEDOT/PANI for Simultaneous Voltammetric Detection of Ascorbic Acid, Dopamine and Uric Acid

Biomarkers-based Biosensing and Bioimaging with Graphene for Cancer Diagnosis

Design Strategies for Electrochemical Aptasensors for Cancer Diagnostic Devices

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