Evidence map›Paper›PMID 41476645›Full record

ReviewExploration (Beijing, China)2025

Trash-to-Energy: Shedding Light on Plastic and Biomass Valorization Through Artificial Photosynthesis Towards Sustainability.

Ke Ming Lim, Valerine Khoo, Wee-Jun Ong

Abstract readReview
In one paragraph

Review in Exploration (Beijing, China), 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.

  1. Article
  2. Review
  3. Review
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.

Ke Ming LimSchool of Energy and Chemical Engineering Xiamen University Malaysia Selangor Darul Ehsan Malaysia.
Valerine KhooSchool of Energy and Chemical Engineering Xiamen University Malaysia Selangor Darul Ehsan Malaysia.
Wee-Jun OngSchool of Energy and Chemical Engineering Xiamen University Malaysia Selangor Darul Ehsan Malaysia.ORCID https://orcid.org/0000-0002-5124-1934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solid waste remains a global crisis in which massive amount of solid waste is disposed of in landfills and the environment yearly, leading to detrimental environmental pollution and loss of resources. However, the current downcycling technologies, such as pyrolysis and gasification, usually require extensive energy input and harsh operating conditions, posing a high possibility of causing secondary pollution. In pursuit of a sustainable future, artificial photosynthesis arises as one of the promising but arduous approaches to reform solid waste into fuels and commodity chemicals under benign conditions. Under this backdrop, this review aims to present a thorough overview of the recent advancement in solid waste transformation through photocatalysis. To begin with, the principles of solar-driven conversion pathways for solid waste are discussed under different reaction conditions. Then this review also highlights the merits of artificial photosynthesis and diverse state-of-the-art photocatalysts for solid waste valorization. Special emphasis is placed on elucidating the application of external-field-assisted photocatalysis (e.g. photothermocatalysis, photoelectrocatalysis, photobiocatalysis, and piezo-photocatalysis) for solid waste upcycling to explore the synergistic effects on performance improvement. Finally, insights on the challenges and prospects in photocatalytic solid waste conversion are presented to bridge a new exemplification towards a sustainable circular economy in the future.

Indexed as

clean fuelsphotocatalysissolid waste upcycling

Identifiers

PMID41476645
PMCPMC12752621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.