MOHAMED A.A. ABDELHAMID

Dr. MOHAMED A.A. ABDELHAMID

Minia University, Minya, Egypt
orcid

Research Focus & Metrics

Academic Career Length

33Years (1994-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Acta Biomaterialia
Verified
Journal Article
Closed access
MOHAMED A.A. ABDELHAMIDMOHAMED A.A. ABDELHAMID
MOHAMED A.A. ABDELHAMID
SPSeung Pil Pack
Seung Pil Pack

22 July 2025 in Biosensors
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Journal Article
Open access
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MOHAMED A.A. ABDELHAMIDMOHAMED A.A. ABDELHAMID
MOHAMED A.A. ABDELHAMID
MKMiran Ki
Miran Ki
HYHyojik Yoon
Hyojik Yoon
SPSeung Pil Pack
Seung Pil Pack
The widespread and persistent occurrence of micropollutants—such as pesticides, pharmaceuticals, heavy metals, personal care products, microplastics, and per- and polyfluoroalkyl substances (PFAS)—has emerged as a critical environmental and public health concern, necessitating the development of highly sensitive, selective, and field-deployable detection technologies. Microfluidic sensors, including biosensors, have gained prominence as versatile and transformative tools for real-time environmental monitoring, enabling precise and rapid detection of trace-level contaminants in complex environmental matrices. Their miniaturized design, low reagent consumption, and compatibility with portable and smartphone-assisted platforms make them particularly suited for on-site applications. Recent breakthroughs in nanomaterials, synthetic recognition elements (e.g., aptamers and molecularly imprinted polymers), and enzyme-free detection strategies have significantly enhanced the performance of these biosensors in terms of sensitivity, specificity, and multiplexing capabilities. Moreover, the integration of artificial intelligence (AI) and machine learning algorithms into microfluidic platforms has opened new frontiers in data analysis, enabling automated signal processing, anomaly detection, and adaptive calibration for improved diagnostic accuracy and reliability. This review presents a comprehensive overview of cutting-edge microfluidic sensor technologies for micropollutant detection, emphasizing fabrication strategies, sensing mechanisms, and their application across diverse pollutant categories. We also address current challenges, such as device robustness, scalability, and potential signal interference, while highlighting emerging solutions including biodegradable substrates, modular integration, and AI-driven interpretive frameworks. Collectively, these innovations underscore the potential of microfluidic sensors to redefine environmental diagnostics and advance sustainable pollution monitoring and management strategies.

Verified
Journal Article
Open access
PDF file
MOHAMED A.A. ABDELHAMIDMOHAMED A.A. ABDELHAMID
MOHAMED A.A. ABDELHAMID
Hazim KhalifaHazim Khalifa
Hazim Khalifa
HYHyojik Yoon
Hyojik Yoon
MKMiran Ki
Miran Ki
SPSeung Pil Pack
Seung Pil Pack
The ever-increasing presence of micropollutants necessitates the development of environmentally friendly bioremediation strategies. Inspired by the remarkable versatility and potent catalytic activities of microbial enzymes, researchers are exploring their application as biocatalysts for innovative environmental cleanup solutions. Microbial enzymes offer remarkable substrate specificity, biodegradability, and the capacity to degrade a wide array of pollutants, positioning them as powerful tools for bioremediation. However, practical applications are often hindered by limitations in enzyme stability and reusability. Enzyme immobilization techniques have emerged as transformative strategies, enhancing enzyme stability and reusability by anchoring them onto inert or activated supports. These improvements lead to more efficient pollutant degradation and cost-effective bioremediation processes. This review delves into the diverse immobilization methods, showcasing their success in degrading various environmental pollutants, including pharmaceuticals, dyes, pesticides, microplastics, and industrial chemicals. By highlighting the transformative potential of microbial immobilized enzyme biocatalysts, this review underscores their significance in achieving a cleaner and more sustainable future through the mitigation of micropollutant contamination. Additionally, future research directions in areas such as enzyme engineering and machine learning hold immense promise for further broadening the capabilities and optimizing the applications of immobilized enzymes in environmental cleanup.

23 April 2014 in Applied Microbiology and Biotechnology
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Journal Article
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PDF file
MOHAMED A.A. ABDELHAMIDMOHAMED A.A. ABDELHAMID
MOHAMED A.A. ABDELHAMID
KMKei Motomura
Kei Motomura
TITakeshi Ikeda
Takeshi Ikeda
TITakenori Ishida
Takenori Ishida
RHRyuichi Hirota
Ryuichi Hirota
AKAkio Kuroda
Akio Kuroda

1 April 2019 in Pharmacological Reports
Verified
Journal Article
Closed access
AAAmer Ali
Amer Ali
Hazim KhalifaHazim Khalifa
Hazim Khalifa
EMElham A.M. Mahdy
Elham A.M. Mahdy
VSVikas Sharma
Vikas Sharma
THToru Hosoi
Toru Hosoi
SKSeiji Kawamoto
Seiji Kawamoto

1 March 2019 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
MOHAMED A.A. ABDELHAMIDMOHAMED A.A. ABDELHAMID
MOHAMED A.A. ABDELHAMID
KYKi Baek Yeo
Ki Baek Yeo
MKMi-Ran Ki
Mi-Ran Ki
SPSeung Pil Pack
Seung Pil Pack