Mohamed Medhat Ali Abdel-Hamid

Mr. Mohamed Medhat Ali Abdel-Hamid

Faculty of Science, Alexandria University, Egypt
+1
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

View All Publications
3 January 2020 in Molecules
Verified
Journal Article
Open access
PDF file
MRMohamed Fathy Ramadan
Mohamed Fathy Ramadan
MAMohamed Medhat Ali Abdel-Hamid
Mohamed Medhat Ali Abdel-Hamid
MAMONTASSER Altorgoman
MONTASSER Altorgoman
HGHamed Ghramh
Hamed Ghramh
MAMohammed A. Alawi
Mohammed A. Alawi
NANasser Awwad
Nasser Awwad
This study’s aim was to determine the pesticide residues in 10 different vegetable commodities from the Asir region, Saudi Arabia. We evaluated 211 vegetable samples, collected from supermarkets between March 2018 and September 2018, for a total of 80 different pesticides using ultrahigh-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS) and gas chromatography–tandem mass spectrometry (GC-MS/MS) after extraction with a multi-residue method (the QuEChERS method). The results were assessed according to the maximum residue limit (MRL) provided by European regulations for each pesticide in each commodity. All lettuce, cauliflower, and carrot samples were found to be free from pesticide residues. A total of 145 samples (68.7%) contained detectable pesticide residues at or lower than MRLs, and 44 samples (20.9%) contained detectable pesticide residues above MRLs. MRL values were exceeded most often in chili pepper (14 samples) and cucumber (10 samples). Methomyl, imidacloprid, metalaxyl, and cyproconazole were the most frequently detected pesticides. Based on the results of this study, we recommend that a government-supported program for the monitoring of pesticide residues in vegetables be established to promote consumers’ health and achieve sustainable farming systems.

11 March 2025 in Journal of Hazardous Materials
Verified
Journal Article
Closed access
MRMenna Ragab
Menna Ragab
OKOmar Khaled
Omar Khaled
NENancy Elgendy
Nancy Elgendy
FEFawzy Eissa
Fawzy Eissa
MAMohamed Medhat Ali Abdel-Hamid
Mohamed Medhat Ali Abdel-Hamid

19 May 2025 in International Journal of Environmental Analytical Chemistry
Verified
Journal Article
Closed access
MRMenna Ragab
Menna Ragab
OKOmar Khaled
Omar Khaled
FEFawzy Eissa
Fawzy Eissa
MAMohamed Medhat Ali Abdel-Hamid
Mohamed Medhat Ali Abdel-Hamid

15 October 2026 in Journal of AOAC INTERNATIONAL
Verified
Journal Article
Closed access
OKOmar Khaled
Omar Khaled
LRLamia Ryad
Lamia Ryad
FEFawzy Eissa
Fawzy Eissa
Vinoth Kumar PonnusamyVinoth Kumar Ponnusamy
Vinoth Kumar Ponnusamy
MAMohamed Medhat Ali Abdel-Hamid
Mohamed Medhat Ali Abdel-Hamid
Background: Veterinary drug residues, pesticides, and chemical contaminants in animal-derived foods pose public health risks, including antimicrobial resistance development and consumer exposure to banned or withdrawn substances. Conventional targeted methods are inherently limited to predefined compounds and may overlook emerging or unexpected contaminants. Many developing countries still lack comprehensive multi-residue surveillance across diverse food matrices, highlighting the need for analytical frameworks adaptable to regulatory laboratories. Objective: To evaluate an LC-Q-Orbitrap HRMS framework combining reference-standard-assisted confirmation with non-targeted screening for the detection and identification of veterinary drug residues, pesticides, and chemical contaminants across multiple animal-derived food matrices. Methods: A streamlined extraction protocol coupled with liquid chromatography–quadrupole-Orbitrap high-resolution mass spectrometry was applied to 450 retail samples collected in Egypt, covering nine matrices (bovine liver, kidney, meat, heart, raw bovine milk, chicken breast, chicken eggs, honey, and Nile tilapia (Oreochromis niloticus)). Confirmation used 36 certified reference standards; non-targeted screening used Compound Discoverer™ with spectral database matching and in silico fragmentation prediction. Results: Nine compounds were confirmed at Level 1 (confirmed structure via reference standard match) according to the Schymanski identification confidence framework, accounting for 74 detection events, most frequently oxytetracycline (18 detections) and trimethoprim (17 detections). Non-targeted screening revealed 45 additional compounds identified at Level 2a (probable structure based on library spectrum match), including antimicrobials, β-agonists, pesticides, and pharmaceuticals. Phenacetin and tapentadol were each detected in 48 samples, and fenobucarb in 30% of milk samples. Liver and honey showed the greatest diversity of detected compounds. Conclusion: HRMS-based non-targeted screening extends analytical coverage beyond predefined reference-standard panels in multi-matrix food surveillance. Highlights: LC-Q-Orbitrap HRMS detected 54 compounds across nine animal-derived food matrices—nine Level 1 confirmations and 45 Level 2a probable structures—extending chemical surveillance beyond reference-standard panels.

14 April 2026 in Journal of Chromatography A
Verified
Journal Article
Closed access
OKOmar Khaled
Omar Khaled
MAMohamed Medhat Ali Abdel-Hamid
Mohamed Medhat Ali Abdel-Hamid
EHEkramy Halawa
Ekramy Halawa
NGNermine Gad
Nermine Gad
FEFawzy Eissa
Fawzy Eissa
LRLamia Ryad
Lamia Ryad