Evidence map›Paper›PMID 30275495›Full record

ArticleNature nanotechnology2018

Bacteria photosensitized by intracellular gold nanoclusters for solar fuel production.

Hao Zhang, Hao Liu, Zhiquan Tian, Dylan Lu, Yi Yu, Stefano Cestellos-Blanco, Kelsey K Sakimoto, Peidong Yang

Abstract read
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Article in Nature nanotechnology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

  1. Article
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  5. Article
  6. Reducing Flavin and Ubiquinone Headgroups with Silicon Nanowire Photocathodes.Artificial photosynthesis (Washington, D.C.) · 2026
    Article
  7. Review
  8. Article
  9. Photocatalytic CORSC advances · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Illuminating the dark majority: photobiology of nonphotosynthetic bacteria.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025
    Review

52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Hao ZhangDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Hao LiuDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Zhiquan TianDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Dylan LuDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Yi YuDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Stefano Cestellos-BlancoDepartment of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
Kelsey K SakimotoDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
Peidong YangDepartment of Chemistry, University of California, Berkeley, Berkeley, CA, USA. p_yang@berkeley.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand for renewable and sustainable fuel has prompted the rapid development of advanced nanotechnologies to effectively harness solar power. The construction of photosynthetic biohybrid systems (PBSs) aims to link preassembled biosynthetic pathways with inorganic light absorbers. This strategy inherits both the high light-harvesting efficiency of solid-state semiconductors and the superior catalytic performance of whole-cell microorganisms. Here, we introduce an intracellular, biocompatible light absorber, in the form of gold nanoclusters (AuNCs), to circumvent the sluggish kinetics of electron transfer for existing PBSs. Translocation of these AuNCs into non-photosynthetic bacteria enables photosynthesis of acetic acid from CO

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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.