Box-Behnken Response Surface Design for the Optimization of a High-Performance Electrochemical Dopamine Sensor Based on Novel Nano-Ag Doped Matériaux Institut Lavoisier Metal-Organic Framework 101 (MIL-101-Cr) Composite Modified Glassy Carbon Electrode DOI Creative Commons

Jassem Wannassi,

Nadhem Missaoui,

Chalal Tachouaft

et al.

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(9), P. 097511 - 097511

Published: Sept. 2, 2024

The combination of metal-organic frameworks (MOFs) and metal nanoparticles offers great prospects for improving the electrochemical properties sensors. In this paper, silver (Ag) nanoparticle-doped framework (MIL-101) composites (Ag-MIL-101) were prepared by ultrasonic treatment MIL-101 reduction precursor (AgNO3) within material. X-ray diffraction patterns confirmed formation Ag-MIL-101(Cr). resulting material was used to construct a new sensor reliable detection dopamine. response developed toward dopamine evaluated using differential pulse voltammetry. A Box-Behnken design performed, surface methodology study influence different parameters on detection. modified electrode linear in range from 0.02 μM 10 μM, limit (S/N = 3). Additionally, it showed high selectivity presence urea, uric acid, ascorbic L-arginine. Due its low cost, easy process, performance, Ag-MIL-101/GCE can be good candidate fabrication non-enzymatic sensor.

Language: Английский

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

28
Plasmonic-enabled nanostructures for designing the next generation of silicon photodetectors: Trends, engineering and opportunities DOI
Bakr Ahmed Taha, Ali J. Addie, Ahmed C. Kadhim

et al.

Surfaces and Interfaces, Journal Year: 2024, Volume and Issue: 48, P. 104334 - 104334

Published: April 15, 2024

Language: Английский

Citations

16
Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis DOI
Bakr Ahmed Taha, Naser M. Ahmed,

Rishi Kumar Talreja

et al.

ACS Synthetic Biology, Journal Year: 2024, Volume and Issue: 13(6), P. 1600 - 1620

Published: June 6, 2024

Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well challenges in accurate contagion diagnostics. Addressing AMR requires strategic approach that emphasizes early stage prevention through screening clinical, environmental, farming, livestock settings identify nonvulnerable antimicrobial agents the associated genes. Conventional diagnostics, like antibiotic susceptibility testing, possess drawbacks, including high costs, time-consuming processes, significant manpower requirements, underscoring need for intelligent, prompt, on-site diagnostic techniques. Nanoenabled artificial intelligence (AI)-supported smart optical biosensors present potential solution by facilitating rapid point-of-care detection with real-time, sensitive, portable capabilities. This Review comprehensively explores various types of nanobiosensors, such surface plasmon resonance sensors, whispering-gallery mode coherence tomography, interference reflection imaging surface-enhanced Raman spectroscopy, fluorescence microring tweezer biosensors, By harnessing unique advantages these nanoenabled revolutionary paradigm shift diagnostics can be achieved, characterized results, sensitivity, portability, integration Internet-of-Things (IoT) technologies. Moreover, enable personalized monitoring detection, significantly reducing turnaround time eliminating human resources needed sample preservation transportation. Their holistic environmental surveillance further enhances capabilities diverse settings, leading improved modern-age healthcare practices more effective management treatments. Embracing advanced tools promises bolster capacity combat safeguard Health.

Language: Английский

Citations

16
Photonics-powered augmented reality skin electronics for proactive healthcare: multifaceted opportunities DOI
Bakr Ahmed Taha, Ali J. Addie, Ahmed C. Kadhim

et al.

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(5)

Published: April 8, 2024

Language: Английский

Citations

15
Fate of Sniff-the-Diseases Through Nanomaterials-Supported Optical Biochip Sensors DOI Open Access
Bakr Ahmed Taha, Vishal Chaudhary, Sarvesh Rustagi

et al.

ECS Journal of Solid State Science and Technology, Journal Year: 2024, Volume and Issue: 13(4), P. 047004 - 047004

Published: April 1, 2024

Early diagnosis through noninvasive tools is a cornerstone in the realm of personalized and medical healthcare, averting direct/indirect infection transmission directly influencing treatment outcomes patient survival rates. In this context, optical biochip breathomic sensors integrated with nanomaterials, microfluidics, artificial intelligence exhibit potential to design next-generation intelligent diagnostics. This cutting-edge tool offers variety advantages, including being economical, compact, smart, point care, highly sensitive, noninvasive. makes it an ideal avenue for screening, diagnosing, prognosing various high-risk diseases/disorders by detecting associated breath biomarkers. The underlying detection mechanism relies on interaction biomarkers sensors, which causes modulations fundamental attributes, such as surface plasmon resonance, fluorescence, reflectance, absorption, emission, phosphorescence, refractive index. Despite these remarkable commercial development faces challenges, insufficient support from clinical trials, concerns about cross-sensitivity, challenges related production scalability, validation issues, regulatory compliance, contrasts conventional perspective article sheds light state disease diagnosis, addresses proposes alternative solutions, explores future avenues revolutionize healthcare

Language: Английский

Citations

14
Irrigation intelligence—enabling a cloud-based Internet of Things approach for enhanced water management in agriculture DOI
Yousif Al Mashhadany, Hamid R. Alsanad, Mohanad A. Al‐Askari

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(5)

Published: April 9, 2024

Language: Английский

Citations

7
Nanophotonic catheters: A lens into the body for biosensing and biomedical imaging DOI
Bakr Ahmed Taha,

Inas A. Al-Tahar,

Ali J. Addie

et al.

Applied Materials Today, Journal Year: 2024, Volume and Issue: 38, P. 102229 - 102229

Published: May 21, 2024

Language: Английский

Citations

7
Nanoparticle-Based Biomarkers for Neurological Disorders DOI

Neelakanta Sarvashiva Kiran,

Chandrashekar Yashaswini,

Ankita Chatterjee

et al.

Nanotechnology in the life sciences, Journal Year: 2025, Volume and Issue: unknown, P. 183 - 202

Published: Jan. 1, 2025

Language: Английский

Citations

0
Nanosensors Based on Breathomics for Human Disease Diagnosis: a New Frontier in Personalized Healthcare DOI Creative Commons
Bakr Ahmed Taha, Ali J. Addie, Adawiya J. Haider

et al.

BioNanoScience, Journal Year: 2025, Volume and Issue: 15(2)

Published: March 14, 2025

Language: Английский

Citations

0
Box-Behnken Response Surface Design for the Optimization of a High-Performance Electrochemical Dopamine Sensor Based on Novel Nano-Ag Doped Matériaux Institut Lavoisier Metal-Organic Framework 101 (MIL-101-Cr) Composite Modified Glassy Carbon Electrode DOI Creative Commons

Jassem Wannassi,

Nadhem Missaoui,

Chalal Tachouaft

et al.

Journal of The Electrochemical Society, Journal Year: 2024, Volume and Issue: 171(9), P. 097511 - 097511

Published: Sept. 2, 2024

The combination of metal-organic frameworks (MOFs) and metal nanoparticles offers great prospects for improving the electrochemical properties sensors. In this paper, silver (Ag) nanoparticle-doped framework (MIL-101) composites (Ag-MIL-101) were prepared by ultrasonic treatment MIL-101 reduction precursor (AgNO3) within material. X-ray diffraction patterns confirmed formation Ag-MIL-101(Cr). resulting material was used to construct a new sensor reliable detection dopamine. response developed toward dopamine evaluated using differential pulse voltammetry. A Box-Behnken design performed, surface methodology study influence different parameters on detection. modified electrode linear in range from 0.02 μM 10 μM, limit (S/N = 3). Additionally, it showed high selectivity presence urea, uric acid, ascorbic L-arginine. Due its low cost, easy process, performance, Ag-MIL-101/GCE can be good candidate fabrication non-enzymatic sensor.

Language: Английский

Citations

3