Novel Electrochemical Sensor Application for Dopamine and Preparation of N-rGO Micro-regionally Constrained WS2 Nanocomposite DOI
Ning Dai, Guohua Shi, Tingting Li

et al.

Journal of The Electrochemical Society, Journal Year: 2022, Volume and Issue: 169(12), P. 127518 - 127518

Published: Dec. 1, 2022

Dopamine is an important neurotransmitter for organisms and affects their function, so monitoring detecting dopamine levels are essential. Sensitivity selectivity of electrochemical sensors the detection usually rely on hybrid nanocomposites. In this context, we designed a micro-regionally restricted nanocomposite by modulating micro-nano structure. Using functional groups nitrogen-doped reduced graphene oxide (N-rGO) to restrict random growth tungsten disulfide nanosheets, obtained 2D layered material with bidirectional structural support achieve high specific surface activity application in robust novel sensors. A facile sensor was fabricated modifying screen-printed carbon electrode nanocomposite. The exhibits excellent performance wide range 1 μ mol l −1 –100 limit 0.2 sensitivity 0.56 . optimized shows good selectivity, satisfactory long-term stability reproducibility towards DA separation peak potential 142 mV uric acid. addition, prepared provides favorable recovery human serum artificial cerebrospinal solution (aSCF), indicating great potentials biological sensing applications.

Language: Английский

Towards hospital-on-chip supported by 2D MXenes-based 5th generation intelligent biosensors DOI Open Access
Vishal Chaudhary, Virat Khanna,

Hafiz Taimoor Ahmed Awan

et al.

Biosensors and Bioelectronics, Journal Year: 2022, Volume and Issue: 220, P. 114847 - 114847

Published: Oct. 27, 2022

Language: Английский

Citations

136

Nose-on-Chip Nanobiosensors for Early Detection of Lung Cancer Breath Biomarkers DOI Creative Commons
Vishal Chaudhary, Bakr Ahmed Taha,

Lucky Lucky

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(9), P. 4469 - 4494

Published: Sept. 9, 2024

Lung cancer remains a global health concern, demanding the development of noninvasive, prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using nanobiosensors has emerged as promising noninvasive nose-on-chip technique for early detection lung through monitoring diversified biomarkers such volatile organic compounds/gases in exhaled breath. This comprehensive review summarizes state-of-the-art breath-based diagnosis employing chemiresistive-module supported by theoretical findings. It unveils fundamental mechanisms biological basis biomarker generation associated with cancer, technological advancements, clinical implementation nanobiosensor-based analysis. explores merits, challenges, potential alternate solutions implementing these settings, including standardization, biocompatibility/toxicity analysis, green sustainable technologies, life-cycle assessment, scheming regulatory modalities. highlights nanobiosensors' role facilitating precise, real-time, on-site leading to improved patient outcomes, enhanced management, remote personalized monitoring. Additionally, integrating biosensors artificial intelligence, machine learning, Internet-of-things, bioinformatics, omics technologies is discussed, providing insights into prospects intelligent sniffing nanobiosensors. Overall, this consolidates knowledge on breathomic biosensor-based screening, shedding light its significance applications advancing medical diagnostics reduce burden hospitals save human lives.

Language: Английский

Citations

27

Progress in engineering interlayer space modulated MXenes to architect next-generation airborne pollutant sensors DOI
Vishal Chaudhary,

Hafiz Taimoor Ahmed Awan,

Mohammad Khalid

et al.

Sensors and Actuators B Chemical, Journal Year: 2022, Volume and Issue: 379, P. 133225 - 133225

Published: Dec. 23, 2022

Language: Английский

Citations

45

Pharmaceutical prospects of Silymarin for the treatment of neurological patients: an updated insight DOI Creative Commons
Shovit Ranjan, Akash Gautam

Frontiers in Neuroscience, Journal Year: 2023, Volume and Issue: 17

Published: May 18, 2023

Background Silymarin is a polyphenolic flavonoid complex extricated from dried fruits and seeds of the plant Silybum marianum L. Chemically, it mixture flavonolignan complexes consisting silybin, isosilybin, silychristin, silydianin, minor quantity taxifolin, other compounds, which possess different bio medicinal values. Purpose This review critically looks into current status, pharmaceutical prospects limitations clinical application for treating neurological disorders. In particular, Silymarin’s properties molecular mechanisms are focused on providing better-compiled understanding helpful in its neuro-pharmacological or therapeutic aspects. Methods was compiled by literature search done using three databases, i.e., PubMed (Medline), EMBASE Science Direct, up to January 2023, keywords-Silymarin, disorders, cognitive Type 2 Diabetes, treatment. Then, potentially relevant publications studies (matching eligible criteria) were retrieved selected explain this PRISMA 2020 (Preferred Reporting Items Systematic Reviews Meta-Analyses) study flow chart. Result Since discovery, has been widely studied as hepatoprotective drug various liver However, last 10–15 years, several research have shown putative neuroprotective nature against brain including psychiatric, neurodegenerative, cognitive, metabolic The main underlying preventing curing such disorders antioxidant, anti-inflammatory, anti-apoptotic, pro-neurotrophic pro-estrogenic bioactive molecules. Conclusion provides lucid summary well-studied effects Silymarin, usage during Finally, we suggested future course action developing novel herbal treatment diseases.

Language: Английский

Citations

19

AI‐Based Metamaterial Design for Wearables DOI Creative Commons
Defne Yigci, Abdollah Ahmadpour,

Savas Tasoglu

et al.

Advanced Sensor Research, Journal Year: 2023, Volume and Issue: 3(3)

Published: Oct. 15, 2023

Abstract Continuous monitoring of physiological parameters has remained an essential component patient care. With increased level consciousness regarding personal health and wellbeing, the scope extended beyond hospital. From implanted rhythm devices to non‐contact video for critically ill patients at‐home monitors during Covid‐19, many applications have enabled continuous monitorization. Wearable sensors allowed chronic as well seemingly healthy individuals track a wide range pharmacological including movement, heart rate, blood glucose, sleep patterns using smart watches or textiles, bracelets, other accessories. The use metamaterials in wearable sensor design offered unique control over electromagnetic, mechanical, acoustic, optical, thermal properties matter, enabling development highly sensitive, user‐friendly, lightweight wearables. However, metamaterial wearables relied heavily on manual processes human‐intuition‐based bio‐inspired design. Artificial intelligence (AI)‐based can support faster exploration parameters, allow efficient analysis large data‐sets, reduce reliance interventions, facilitating optimal sensors. Here, AI‐based healthcare is reviewed. Current challenges future directions are discussed.

Language: Английский

Citations

13

Innovative Molecularly Imprinted Electrochemical Sensor for Selective Nanomolar Detection of the Anti-COVID-19 Medication Molnupiravir DOI Creative Commons
Rania A. Sayed, Manal S. Elmasry, Asmaa M. Taha

et al.

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(6), P. 067507 - 067507

Published: June 3, 2024

For the first time, a green ecofriendly approach is applied, to develop molecularly imprinted polymer (MIP) electrochemical for assay of oral anti-viral molnupiravir (MLN) in various matrices as confirmed by referring analytical eco-scale, procedure index (GAPI), Raynie and Driver, greenness metric (AGREE), national environmental (NEMI). AuNPs were chronoamperometry deposited on glassy carbon electrode surface (GCE) using 0.01 gm ml −1 gold solution (HAuCl 4 .3H 2 O) 0.5 M H SO at constant potential −0.4 V 60 s. Then, MIP was created electropolymerizing O PDA GCE cyclic voltammetry range between −0.5 +1 15 cycles (scan rate: 50 mV.s ). To optimize sensor’s performance, factors such number electropolymerization cycles, template: monomer ratio, binding rebinding pH buffer, extraction solvent, deposition time Au nanoparticles, order electrode; surface, well differential pulse parameters including accumulation step, all investigated. The detection limit set 0.00098 ng (3 × 10 −12 M) linearity MLN 0.033 164 (1 −10 –5 −7 M). sensor employed determination its pharmaceutical product (capsules), spiked human plasma, urine samples with mean recovery % ± relative standard deviation (RSD) (99.82% 0.53), (99.88% 0.62), (97.90% 0.70), respectively. investigated provided good reproducibility, repeatability, durability. Acceptable selectivity regarding when mixed structurally comparable compounds proved RSD (97.10% 0.03). Additionally, exposed oxidative, hydrolytic, thermal stress conditions, results stability-indicating studies served an indicator selectivity. developed coupled portable potentiostat, making it promising point-of-care diagnostic platform on-site measurements.

Language: Английский

Citations

4

Highly Sensitive Non-Enzymatic Electrochemical Sensor to Detect an Important Neurotransmitter Using Cobalt-Based Metal-Organic Framework/Graphene Oxide Composite DOI
Shiva Houshmand, Mohammad Mazloum‐Ardakani, Hamideh Mohammadian-Sarcheshmeh

et al.

Journal of The Electrochemical Society, Journal Year: 2025, Volume and Issue: 172(1), P. 017510 - 017510

Published: Jan. 1, 2025

Glutamate (Glu) is a principal neurotransmitter owing to its significant function in physiological and pathological processes. Deviations Glu levels have been associated with the onset of various neurological disorders, implicating it as potential biomarker for conditions like epilepsy, stroke, Alzheimer’s disease, amyotrophic lateral sclerosis. Accurate detection essential prevention, diagnosis, treatment such diseases. Herein, highly sensitive non-enzymatic sensor introduced detect Glu. The electrochemical performance was studied by modifying glassy carbon electrode using cobalt-based metal-organic framework/graphene oxide composite (CoMG/GCE). Differential pulse voltammetry exhibited linear response from 20.0 1.00 × 10 3 μM at an alkali solution limit 3.10 μM. DPV utilized determine human blood serum samples standard addition method. This showed lowest interference popular species, indicating ability healthcare applications.

Language: Английский

Citations

0

Nanotechnology in Parkinson’s Disease: overcoming drug delivery challenges and enhancing therapeutic outcomes DOI
Irfan Ali,

Mohammad Adil,

Mohammad Imran

et al.

Drug Delivery and Translational Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 29, 2025

Language: Английский

Citations

0

A Flexible, Low-Cost, Disposable Non-Enzymatic Electrochemical Sensor Based on MnO2/Cellulose Nanostructure DOI

Hebat‐Allah S. Tohamy,

Hend S. Magar

ECS Journal of Solid State Science and Technology, Journal Year: 2022, Volume and Issue: 11(12), P. 127003 - 127003

Published: Dec. 1, 2022

In this investigation, a new class of polysaccharide (cellulose nanowhiskers ) in the presence manganese oxide nanoparticles (MnO 2 NPs) to produce hybrid materials was synthesized and used as sensor platform with high fast electrochemical responses. A simple method synthesis for producing different cellulosic nanostructures has been evaluated characterized by Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscope (SEM),cyclic voltammogram (CV) impedance spectra (EIS). The FTIR analysis data approved formation cellulose MnO nanostructures. uniform distribution nanostructure over surface using SEM. addition, From CV EIS characterization /Cellulose have electrocatalytic properties promising applications biosensors non-enzymatic sensors fields. /cellulose hydrogen peroxide choronoamperometric detection sensitivity 0.70 μ M −1 , linear concentration range from 0.2 − 400 M, lower limit (LOD) 0.04 (S/N = 3) R 0.98. real samples percentage recovery 93 110 %.

Language: Английский

Citations

18

Sustainable green synthesized nanoparticles for neurodegenerative diseases diagnosis and treatment DOI
Prachi Thukral, Ruchita Chowdhury, Harsh Sable

et al.

Materials Today Proceedings, Journal Year: 2022, Volume and Issue: 73, P. 323 - 328

Published: Nov. 11, 2022

Language: Английский

Citations

16