Evidence map›Paper›PMID 39005137›Full record

ReviewCurrent drug research reviews2025

Advancing Green Chemistry in Antiviral Therapeutics: A Comprehensive Review.

Kanderi Archana, Sumithra Mani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug research reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kanderi ArchanaDepartment of Pharmaceutical Chemistry and Analysis, School of Pharmaceutical Sciences, VISTAS, Tamil Nadu, India.ORCID 0000-0001-7264-2182
Sumithra ManiDepartment of Pharmaceutical Chemistry and Analysis, School of Pharmaceutical Sciences, VISTAS, Tamil Nadu, India.ORCID 0000-0003-3781-107X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytomegalovirus (CMV) is a prevalent virus across the world that belongs to the family Herpesviridae but remains dormant in the body unless the immune system is compromised. In addition, when the bacterium is compromised without any health risks, the infection spreads from one person to another person through body fluids, such as saliva, blood, etc. Ganciclovir is an anti- viral medication used in treating viral infections, especially in the treatment of CMV in people with acquired immune deficiency syndrome and immunity at risk. The quality control of ganciclovir in industries is carried out by using anti-green solvents in large volumes; these solvents are not safe in consideration of environmental factors and analysts. Also, the waste generation by these solvents causes hazardous effects on the environment. Further, using 12 green analytical chemistry principles promotes the awareness of analytical judgments among the research groups. It is a revolutionary step in the analytical field to enhance the safety of the environment, and analysts, apart from safety, help to control waste production and conserve energy-reducing occupational hazards. Many works have been carried out for the quality control of ganciclovir using different solvents, such as acetonitrile, methanol, etc. Despite this, there are no existing methods with green solvents or procedures to reduce energy and waste generation. Therefore, the purpose of this review is to understand the drug profile of ganciclovir and the methods developed.

Indexed as

Antiviral AgentsCytomegalovirus InfectionsGanciclovirGreen Chemistry TechnologyAnimalsCytomegalovirusHumansQuality ControlSolventsAntiviral AgentsGanciclovirSolventsCMVGanciclovirgreen chemistrygreen solventsherpesviridae.quality control

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.