ArticleBMC chemistry2025
Green-engineered multispectral analytical approaches for simultaneous quantification of amoxicillin and diclofenac in pure and combined forms.
Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In response to the increasing demand for sustainable and high-throughput analytical approaches, this study presents the development and validation of five innovative univariate spectrophotometric methods for the simultaneous determination of amoxicillin trihydrate and diclofenac sodium in both synthetic mixtures and combined pharmaceutical dosage forms. The proposed methods, comprising first derivative, second derivative, ratio difference, ratio derivative, and ratio subtraction techniques, were designed to address the challenge of overlapping UV spectra, offering enhanced selectivity without the need for complex instrumentation or prior separation. Each method was meticulously optimized and validated in accordance with ICH Q2(R1) guidelines, demonstrating excellent linearity, accuracy, precision, and robustness. The analytical performance affirms their applicability for routine quality control of the studied drugs in a variety of formulations. Moreover, the environmental footprint of the methods was rigorously assessed using three complementary greenness evaluation tools: the GAPI, NEMI and Analytical eco scale, all of which confirmed the eco-friendly nature of the protocols. These results position the developed methods as a cost-effective, rapid, and green alternative for quality assurance in pharmaceutical laboratories, striking a valuable balance between analytical reliability and environmental responsibility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.