Evidence map›Paper›PMID 42536321›Full record

ArticlePhotochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology2026

Determining molar absorption coefficients for chromoproteins using relative actinometry with transient absorption spectroscopy: application to Orange Carotenoid Protein.

Stanisław Niziński, Elisabeth Hartmann, Michel Sliwa, Gotard Burdziński

Abstract read
PubMed Publisher
In one paragraph

Article in Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology, 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

4 authors.

Stanisław NizińskiMax Planck Institute for Medical Research, Jahnstr. 29, 69120, Heidelberg, Germany. stanislaw.nizinski@mr.mpg.de.ORCID http://orcid.org/0000-0001-7608-7702
Elisabeth HartmannMax Planck Institute for Medical Research, Jahnstr. 29, 69120, Heidelberg, Germany.
Michel SliwaLaboratoire d'Optique et Biosciences, CNRS, INSERM, École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France.
Gotard BurdzińskiQuantum Electronics Laboratory, Faculty of Physics and Astronomy, Adam Mickiewicz University, Uniwersytetu Poznańskiego 2, 61-614, Poznań, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining molar absorption coefficient for chromoprotein samples containing a significant fraction of apoprotein is problematic since conventional protein quantification methods, such as the Bradford assay, determine the total amount of protein. This leads to underestimation of molar absorption coefficient. Using Orange Carotenoid Protein (OCP) as a model system, we demonstrate an alternative approach employing the relative actinometry method and femtosecond transient absorption spectroscopy. By comparing the ground state bleaching bands of OCP and β-carotene recorded immediately after the excitation, before the onset of decay, we determined a molar absorption coefficient that is representative of the holoprotein. β-carotene serves as a well-characterized reference compound with photophysics similar to that of OCP, enabling error cancellation. We obtained a value of 110,000 M

Indexed as

Bacterial ProteinsCarotenoidsbeta CaroteneSpectrum AnalysisBacterial Proteinsbeta CaroteneCarotenoidsorange carotenoid protein, Synechocystis

Identifiers

What OpenQuestion holds

Textmetadata
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.