Evidence map›Paper›PMID 42444617›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Particulate Photocatalytic Water Splitting for Solar Energy Conversion: From Material Design to Scalable Demonstration.

Ming Shi, Rengui Li

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 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.

Ming ShiState Key Laboratory of Catalysis, Dalian National Laboratory For Clean Energy, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Rengui LiState Key Laboratory of Catalysis, Dalian National Laboratory For Clean Energy, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.

Funding

Dalian Outstanding Young Scientific and Technological Talents 2025RY30Energy Revolution S&T Program of Yulin Innovation Institute of Clean Energy E411090705Fundamental Research Funds for the Central Universities 20720220011National Key Research and Development Program of China 2021YFA1502300National Natural Science Foundation of China 22309182State Key Laboratory of Catalysis 2024SKL-B-010
6 · The paper itself

Abstract

Photocatalytic water splitting using particulate semiconductors represents a promising strategy for sustainable hydrogen production driven by solar energy. However, realizing practical solar photocatalytic hydrogen generation requires not only the development of highly efficient photocatalyst materials but also the design of integrated systems that are scalable, stable, and economically viable. This review presents a comprehensive overview of recent advances in photocatalytic material design, photogenerated charges regulation, surface catalysis, and scalable system-level integration for overall water splitting. Emphases are placed on emerging light-absorbing materials with tunable band structures, strategies to enhance photogenerated charge separation, innovations in dual-cocatalyst engineering, and reverse reaction suppression techniques. Recent progresses in Z-scheme photocatalytic systems are also highlighted, which offer alternative paradigms for achieving solar water splitting. Furthermore, advancements toward scalable applications are further presented, including the development of photocatalytic panel reactors and the hydrogen farm project (HFP) strategy, which offers a practical solution for solar energy storage and conversion without the need for H

Indexed as

particulate photocatalystsphotocatalytic water splittingscalable demonstrationsolar energy conversion

Identifiers

PMID42444617
PMCPMC13486197

What OpenQuestion holds

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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.