Evidence map›Paper›PMID 40792117›Full record

ArticleInfection and drug resistance2025

Formulation and Evaluation of a Licorice-Resveratrol Lollipop for Targeting

Sandip Patil, Gauri Suresh Powar, Swapnil Harale, Sunil T Galatage, Sixi Liu, Bruno Silvester Lopes, Devender Kumar Sharma, Abhinandan Ravsaheb Patil, Feiqiu Wen

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Sandip PatilDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.ORCID 0000-0003-2736-9206
Gauri Suresh PowarSant Gajanan Maharaj College of Pharmacy, Mahagaon, Chinchewadi, India.
Swapnil HaraleSant Gajanan Maharaj College of Pharmacy, Mahagaon, Chinchewadi, India.
Sunil T GalatageVasantidevi Patil Institute of Pharmacy, Kodoli, India.
Sixi LiuDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.
Bruno Silvester LopesSchool of Health & Life Sciences, Teesside University, Middlesbrough, UK.
Devender Kumar SharmaDepartment of Oral Microbiology, Himachal Dental College, SundarNagar, India.
Abhinandan Ravsaheb PatilDY Patil Education Society (Deemed to Be University), Kolhapur, India.ORCID 0000-0002-1154-0753
Feiqiu WenDepartment of Haematology and Oncology, Shenzhen Children's Hospital, Shenzhen, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: The LRML was developed using a heating and congealing method, incorporating licorice extract (5% w/w) and resveratrol (2% w/w) in a sucrose-based matrix. The physicochemical properties of the formulation, including hardness, drug content uniformity, moisture content, and dissolution profile, were evaluated. The antimicrobial activity was assessed through Minimum Inhibitory Concentration (MIC), Minimum Bactericidal Concentration (MBC), and time-kill assays. Anti-biofilm activity was evaluated using a crystal violet assay. The stability of the formulation was determined under accelerated conditions. Results: The LRML formulation showed efficient drug release, with formulation number LRML-7 demonstrating 96.87% release within 45 minutes. The antimicrobial tests revealed significant bactericidal effects against Conclusion: The LRML exhibited promising antimicrobial and anti-biofilm activities against

Indexed as

anti-biofilmantimicrobialdrug releaselicoriceresveratrolstabilityStreptococcus mutans

Identifiers

PMID40792117
PMCPMC12338328

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Registered trials

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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.