Skip to content
PaperFren

Spectroscopy

UV chemometrics quantify two COVID-era drugs at once

Katamesh NS, Abbas AEF, Mahmoud SA · BMC chemistry · 2024

Open access · cc by · source: Europe PMC

CLS, PCR, PLS and GA-PLS models resolve overlapping UV spectra of montelukast and levocetirizine, with GA-PLS best (R2 > 0.99) and Latin-hypercube validation plus greenness scores versus HPLC.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

Not yet placed on a claim. This paper has study layers, but no concept page yet cites it as support, challenge, or qualifier.

Inspect source passages

UV chemometrics quantify two COVID-era drugs at once

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

GA-PLS RMSEP was 0.1872 and 0.1779 for the two drugs.

Additionally, it demonstrated the lowest RMSEP of just 0.1872 and 0.1779 for the two drugs, along with the lowest relative RRMSEP of 0.7516% and 0.6585%, highlighting top-tier generalization ability to new samples.

The working spectral matrix was 210–400 nm at 1 nm resolution (191 data points).

Spectral regions below 210 nm and above 400 nm were discarded due to noise and lack of signals, respectively, yielding the working spectral data matrix of 210–400 nm at 1 nm resolution (191 data points).
Read passages in the original paper

Key findings

GA-PLS had R2 0.9932/0.9901, RMSEP 0.1872/0.1779, LOD 0.0813 and 0.2273 μg mL−1, recoveries 99.72–100.86%. Working window is 191 wavelengths. The UV method is positioned as a greener alternative to HPLC.

Methodology

Authors recorded 210–400 nm spectra of MLK/LCZ mixtures, built four chemometric calibrations on a 25-sample Brereton design, validated with LHS, and scored NEMI/GAPI/AGREE/BAGI/RGB12 sustainability.

Limitations

It quantifies two APIs in tablets, not metabolites in plasma, and green scores are metric-based rather than a full process LCA.

Related papers in this topic

Same topic cluster — not a recommendation engine.