Back

Combinatorial bioassay for fast screening of organic agrivoltaic materials

Vidal-Tur, M.; Martin-Trillo, M.; Torimtubun, A. A. A.; Campoy-Quiles, M.; MARTINEZ GARCIA, J. F.

2026-05-18 plant biology
10.64898/2026.05.15.725514 bioRxiv
Show abstract

Agriphotovoltaics (APV) combines crop production with solar energy generation to address increasing demands for food and energy while reducing land-use competition. Unlike conventional opaque photovoltaic systems, semitransparent organic photovoltaics (OPVs) selectively absorb light, potentially improving efficiency but also altering both light quantity and spectral quality, key factors affecting plant growth. Here, we developed a rapid bioassay based on hypocotyl elongation to evaluate plant responses to OPV-filtered light using Arabidopsis thaliana and Cardamine hirsuta, two species with contrasting shade strategies. Screening a diverse set of OPV materials revealed that plant growth responses depend more on spectral composition than on total light intensity alone. Certain materials, such as PTB7-Th and D18, produced growth patterns similar to neutral shading, while others promoted elongation. Our analyses identified blue light wavelengths, linked to cryptochrome activity, as more critical than red light wavelengths, linked to phytochrome activity, for maintaining normal development. These findings provide a scalable framework to assess OPV-plant compatibility and demonstrate that optimizing spectral quality alongside light intensity is essential for designing efficient APV systems that sustain crop performance while generating renewable energy.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 5%
18.9%
2
PLOS ONE
4510 papers in training set
Top 18%
10.2%
3
Advanced Science
249 papers in training set
Top 2%
8.5%
4
Journal of the American Chemical Society
199 papers in training set
Top 0.8%
7.3%
5
Science Advances
1098 papers in training set
Top 3%
4.4%
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 19%
3.7%
50% of probability mass above
7
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.4%
3.6%
8
Frontiers in Plant Science
240 papers in training set
Top 3%
2.4%
9
New Phytologist
309 papers in training set
Top 2%
2.4%
10
Scientific Reports
3102 papers in training set
Top 49%
2.1%
11
ACS Synthetic Biology
256 papers in training set
Top 1%
1.9%
12
RSC Chemical Biology
32 papers in training set
Top 0.1%
1.9%
13
eLife
5422 papers in training set
Top 39%
1.8%
14
Plant Biotechnology Journal
56 papers in training set
Top 0.8%
1.3%
15
Journal of Medicinal Chemistry
68 papers in training set
Top 0.8%
1.3%
16
Plant Physiology
217 papers in training set
Top 2%
1.3%
17
Bioorganic & Medicinal Chemistry Letters
10 papers in training set
Top 0.2%
1.2%
18
The Plant Journal
197 papers in training set
Top 3%
1.2%
19
Journal of Nanobiotechnology
10 papers in training set
Top 0.2%
0.9%
20
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.5%
0.9%
21
Communications Biology
886 papers in training set
Top 18%
0.9%
22
RSC Advances
18 papers in training set
Top 1%
0.8%
23
ACS Central Science
66 papers in training set
Top 2%
0.8%
24
Cell Systems
167 papers in training set
Top 12%
0.8%
25
Journal of Chemical Information and Modeling
207 papers in training set
Top 3%
0.7%
26
Advanced Functional Materials
41 papers in training set
Top 2%
0.7%
27
Journal of Extracellular Vesicles
50 papers in training set
Top 0.5%
0.7%
28
Chemical Communications
24 papers in training set
Top 2%
0.5%
29
Angewandte Chemie International Edition
81 papers in training set
Top 4%
0.5%
30
Nature Biotechnology
147 papers in training set
Top 9%
0.5%