Evidence map›Paper›PMID 38880795›Full record

ArticleScientific reports2024

Probing the design principles of photosynthetic systems through fluorescence noise measurement.

Naama Maroudas-Sklare, Naama Goren, Shira Yochelis, Grzegorz Jung, Nir Keren, Yossi Paltiel

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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

6 authors.

Naama Maroudas-Sklare *Department of Applied Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Naama Goren *Department of Applied Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Shira YochelisDepartment of Applied Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel.
Grzegorz JungDepartment of Physics, Ben Gurion University of the Negev, 84105, Beer Sheva, Israel.
Nir KerenDepartment of Plant & Environmental Sciences, The Alexander Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel.
Yossi PaltielDepartment of Applied Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel. paltiel@mail.huji.ac.il.

Funding

Israel Science Foundation 663/23
6 · The paper itself

Abstract

Elucidating the energetic processes which govern photosynthesis, the engine of life on earth, are an essential goal both for fundamental research and for cutting-edge biotechnological applications. Fluorescent signal of photosynthetic markers has long been utilised in this endeavour. In this research we demonstrate the use of fluorescent noise analysis to reveal further layers of intricacy in photosynthetic energy transfer. While noise is a common tool analysing dynamics in physics and engineering, its application in biology has thus far been limited. Here, a distinct behaviour in photosynthetic pigments across various chemical and biological environments is measured. These changes seem to elucidate quantum effects governing the generation of oxidative radicals. Although our method offers insights, it is important to note that the interpretation should be further validated expertly to support as conclusive theory. This innovative method is simple, non-invasive, and immediate, making it a promising tool to uncover further, more complex energetic events in photosynthesis, with potential uses in environmental monitoring, agriculture, and food-tech.

Indexed as

PhotosynthesisEnergy TransferFluorescenceSpectrometry, Fluorescence

Identifiers

PMID38880795
PMCPMC11637105

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.