Evidence map›Paper›PMID 42393317›Full record

ArticleMikrochimica acta2026

Photoelectrochemical aptasensor based on biomass-derived carbon/BiOI nanoflowers for in-situ monitoring of abscisic acid.

Yuting Yan, Yu Qiu, Yun Chen, Qirui Wang, Yafei Wang, Xiaoxue Du, Hanping Mao, Henan Li

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Article in Mikrochimica acta, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yuting YanSchool of Agricultural Engineering, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, PR China.
Yu QiuSchool of Agricultural Engineering, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, PR China.
Yun ChenCultivation and Construction Site of National Key Laboratory for Crop Genetics and Physiology in Jiangsu Province, Agricultural College, Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.
Qirui WangSchool of Optoelectronic Engineering, School of Aeronautical and Mechanical Engineering, Changzhou Institute of Technology, Changzhou, 213032, Jiangsu, PR China.
Yafei WangSchool of Agricultural Engineering, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, PR China.
Xiaoxue DuSchool of Optoelectronic Engineering, School of Aeronautical and Mechanical Engineering, Changzhou Institute of Technology, Changzhou, 213032, Jiangsu, PR China.
Hanping MaoSchool of Agricultural Engineering, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, PR China. maohp@ujs.edu.cn.
Henan LiSchool of Agricultural Engineering, School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang, 212013, Jiangsu, PR China. lhn@ujs.edu.cn.

Funding

National Natural Science Foundation of China 32501779National Natural Science Foundation of China 32572197Priority Academic Program Development of Jiangsu Higher Education Institution PAPD2023-87
6 · The paper itself

Abstract

A photoelectrochemical (PEC) aptasensor based on bismuth oxyiodide (BiOI) nanoflower/biomass carbon (BiOI@BC) was fabricated for in-situ detecting abscisic acid (ABA) in tomato leaves under salt stress. Shrimp shells-derived biomass carbon acted as an enhanced carrier, and the biomass carbon improves the PEC performance of BiOI by extending the visible light absorption range and promoting the charge transfer of pure BiOI nanoflower. The BiOI@BC exhibited high photocurrent, which was about 19 times in contrast to pristine BiOI, attributing to the synergistic effects of biomass carbon self-doped with N, P, and S atoms. Furthermore, a PEC aptasensing platform was developed for the sensitive and selective determination of ABA, with a wide linear range from 0.1 to 1000 pM and a remarkably low detection limit of 0.03 pM. The practical applicability of the device was further validated by on-site monitoring of ABA levels in tomato leaves under salt stress, demonstrating good stability and accuracy. This work provides a robust strategy for real-time phytohormone detection, facilitating precise crop regulation in plant biology and agriculture.

Indexed as

Abscisic AcidAptamers, NucleotideBiosensing TechniquesBismuthCarbonElectrochemical TechniquesNanostructuresBiomassLimit of DetectionPhotochemical ProcessesPlant LeavesSolanum lycopersicumAbscisic AcidAptamers, NucleotideBismuthCarbonAbscisic acidBiOIBiomass carbonIn-situ detectionPhotoelectrochemistry

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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.