Evidence map›Paper›PMID 41551680›Full record

ReviewPhotosynthetica2025

Recent advances in plant stress analysis using chlorophyll

K W Chang, H Tang, L J Fu, Q Xia, Z Y Pan, J L Tan, V Lysenko, Y Guo

Abstract readReview
In one paragraph

Review in Photosynthetica, 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. Article
  3. Article
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

8 authors.

K W ChangKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.
H TangKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.
L J FuKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.
Q XiaSchool of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, China.
Z Y PanKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.
J L TanDepartment of Chemical & Biomedical Engineering, University of Missouri, Columbia, MO, USA.
V LysenkoAcademy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia.
Y GuoKey Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chlorophyll fluorescence (ChlF), a sensitive, real-time, and nondestructive indicator of photosynthesis, enables noninvasive elucidation of the complex physiological and biochemical processes of plants. It plays a unique and important role in plant research, ecological evaluation, and agriculture. To provide a holistic picture of research on ChlF applications over the past decade, a knowledge map was first conducted, which revealed six major areas of ChlF applications in plant stress evaluation and reduction, including drought stress, temperature stress, salt stress, water stress, toxicity stress, and nitrogen stress. This work then systematically summarized the literature in each of the six areas. Finally, we examined practical application bottlenecks and outlined key challenges and frontiers in future ChlF research.

Indexed as

ChlorophyllChlorophyll APlantsStress, PhysiologicalDroughtsFluorescencePhotosynthesisChlorophyllChlorophyll Achlorophyll fluorescenceknowledge mappingnoninvasive detectionphotosynthesisplant stresses

Identifiers

PMID41551680
PMCPMC12805462

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.