Evidence map›Paper›PMID 41890399›Full record

ReviewPrecision chemistry2026

Recent Progresses in Photoresponsive π‑Conjugated Organogelators for Biomaterial Applications: Challenges and Future Perspectives.

Mani Rajasekar, Sivakumar Meenambigai

Abstract readReview
In one paragraph

Review in Precision chemistry, 2026. 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.

Mani RajasekarCentre for Molecular and Nanomedical Sciences, International Research Centre, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai 600 119, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-5443-8070
Sivakumar MeenambigaiDepartment of Biotechnology, School of Bioengineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Chengalpattu Dist., Kattankulathur 603 203, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capacity of photoresponsive organogels to react to light stimuli with reversible changes in their physical characteristics has made them a potential class of materials for a variety of functional biomaterial applications. These substances allow for regulated modification of the structure and function of organogels in response to light by combining their adaptability with photoactive moieties. Recent advancements in the development of photoresponsive organogels have led to their use in areas such as drug delivery, tissue engineering, and biosensing. This Perspective aims to explore the latest trends in the design and synthesis of photoresponsive organogels, highlighting key strategies for enhancing their responsiveness, stability, and biocompatibility. We also discuss the challenges associated with scaling up these materials for practical applications including issues related to light penetration, material degradation, and the need for precise control over the response kinetics. Furthermore, we outline potential future directions in the field, including the integration of advanced light-responsive functionalities, the development of more sustainable and biodegradable materials, and the exploration of new applications in personalized medicine and environmental monitoring. The continued innovation in photoresponsive organogels promises to expand their potential for use in next-generation functional biomaterials.

Indexed as

azobenzenecoumarindendrimerorganogelsperylenepyrene

Identifiers

PMID41890399
PMCPMC13014313

What OpenQuestion holds

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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 OpenQuestion graph.