Evidence map›Paper›PMID 42521711›Full record

ArticleScientific reports2026

Determination of worst-case cephalosporin residues in laboratory glassware using a validated low-level RP-HPLC method.

Saja A Althobaiti, Fahad M Alminderej, Hossam F Nassar, Sayed M Saleh, Mahmoud A Mohamed

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Saja A AlthobaitiDepartment of Chemistry, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia.
Fahad M AlminderejDepartment of Chemistry, College of Science, Qassim University, Buraidah, 51452, Saudi Arabia.
Hossam F NassarEnvironmental Science and Industrial Development Department, Faculty of Post Graduate Studies for Advanced Sciences, Beni-Suef University, Beni-Suef, Egypt. hossamnassarnrc@gmail.com.
Sayed M SalehDepartment of Chemistry, College of Science, Qassim University, Buraidah, 51452, Saudi Arabia.
Mahmoud A MohamedHikma Pharmaceutical Company, Beni-Suef, 62511, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cephalosporin antibiotics are highly allergenic and present serious cross contamination problems in analytical and manufacturing environments. Regulatory agencies require quality control laboratories to establish strict zero-tolerance or health-based carryover exposure limits, making verification of equipment and glassware cleanliness extremely important. The aim of this study was to assess the efficiency of cleaning laboratory glassware procedures by identifying the level of residual contamination of a worst-case cephalosporin antibiotic, cefixime. A validated reverse-phase liquid chromatographic technique was used to measure chemical residues of cefixime, with the remaining detergent contamination measured by conductivity of final rinse water. Cefixime and its related impurities were separated on a C18 reverse-phase column using an environmentally friendly isocratic mobile phase of acetate buffer with a pH of 6.5 and ethanol in an 89:11 (v/v) ratio, and UV was used to detect cefixime at 254 nm. The technique was sensitive, selective, and linear at low levels appropriate in the analysis of residues on glass surfaces. Recovery experiments verified the capability of the approach to find cefixime residues that were left behind after normal cleaning activities. Conductivity measurements were used to demonstrate the effective removal of detergent residue, that could not be adequately detected at 254 nm. The integrated analytical method provides a scientifically grounded and regulatory-applicable approach to holistic cleaning validation of laboratory glassware, which facilitates the control of contamination in pharmaceutical analytical facilities without violating the postulates of green analytical chemistry.

Indexed as

Anti-Bacterial AgentsCefiximeCephalosporinsChromatography, Reverse-PhaseGlassChromatography, High Pressure LiquidDetergentsEquipment ContaminationAnti-Bacterial AgentsCefiximeCephalosporinsDetergentsChemical and detergent residuesCleaning validationConductivity measurementGreen HPLC methodLaboratory glassware

Identifiers

PMID42521711
PMCPMC13415823

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.