Candexch algorithm-enhanced chemometric determination of a novel anti-COVID-19 therapeutics in plasma and paxlovid formulation using advanced multivariate modeling: a sustainability-centered bioanalytical approach
dosage matrices. Multidimensional sustainability appraisal revealed favorable environmental and operational attributes. The method satisfied all National Environmental Methods Index criteria, achieved a Greenness Evaluation Metric for Analytical Methods score of 7.502, and displayed a calculated carbon footprint of 0.021 kg CO₂/sample. Complementary operational and innovation assessments yielded Blue Applicability Grade Index and Violet Innovation Grade Index scores of 90.00 and 80.00, respectively, while the integrated Normalized Quality Score reached 83%. Collectively, the developed platform provides a cost-efficient and environmentally considerate analytical approach suitable for pharmaceutical quality control and preliminary bioanalytical screening in fortified plasma matrices, particularly in laboratories lacking access to advanced chromatographic instrumentation.
Authors
- Michael K. Halim (ORCID: https://orcid.org/0000-0002-0668-8980)
- Ahmed Emad F. Abbas (ORCID: https://orcid.org/0000-0002-7098-8662)
- Mohamed R. Elghobashy (ORCID: https://orcid.org/0000-0003-0383-2091)
- Omkulthom Mohamed Al Kamaly (ORCID: https://orcid.org/0000-0003-4706-4311)
- Nisreen F. Abo Talib
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Cairo University (EG)
- Egyptian Government (EG)
- October 6 University (EG)
Publication Details
- Journal
- BMC Chemistry
- Published
- 2026-04-13
- DOI
- https://doi.org/10.1186/s13065-026-01788-z
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Princess Nourah Bint Abdulrahman University