Evidence map›Paper›PMID 40660360›Full record

ArticleBMC chemistry2025

Spectrophotometric approach for deconvolving overlapped spectra of antihypertensive drug mixtures using UV detection: an eco-friendly method.

Suvarna Yenduri, K Naga Prashant, H N Varalakshmi

Abstract read
In one paragraph

Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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

3 authors.

Suvarna YenduriFaculty of Pharmacy, Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University, B.G. Nagar, Karnataka, 571448, India. Suvarna.ph52@gmail.com.
K Naga PrashantFaculty of Pharmacy, Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University, B.G. Nagar, Karnataka, 571448, India.
H N VaralakshmiFaculty of Pharmacy, Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University, B.G. Nagar, Karnataka, 571448, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presented four simple, environmentally friendly, chemometric methods for the determination of Amlodipine besylate and Telmisartan, When analyzed together, these drugs exhibit spectral overlapping; therefore, by adopting spectral manipulation, drugs are quantified simultaneously. The methods are namely the first derivative spectrophotometric method, the ratio difference method, the first derivative ratio method and the amplitude factor method. The methods showed detection limits ranging from 0.1211 to 0.4304 µg/mL and 0.0773 to 0.5640 µg/mL for Amlodipine besylate and Telmisartan, respectively, with good adherence to International Council for Harmonization standards. The methods were compared with the reported HPLC method using the student t-test and F-test, where the results showed no significant difference. For this method, a green solvent such as propylene glycol is selected through the Green solvent selection tool with a greenness score of 7.8 and the sustainability of the solvent is evaluated using spider diagram. Methods were assessed for their eco-friendliness and sustainability using novel tools such as Blue Applicability Grade Index, Green Analytical Procedure Index and RGB model with respect to White and Green analytical chemistry principles. Using Greenness tools for this UV-spectroscopy method improves both safety and effectiveness compared to expensive and laborious HPLC techniques. Hence, this study suggests employing easy and renewable UV spectrophotometric technologies for traditional analysis.

Indexed as

Amlodipine besylateSpectral overlapSustainable methodTelmisartanUV spectroscopy

Identifiers

PMID40660360
PMCPMC12257698

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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 Socratic graph.