Biosensors for Stress Detection: A Systematic Review from Herbaceous to Woody Plants.

Abstract

Plants must constantly adapt to biotic and abiotic stressors, which the global climate change crisis has intensified. To monitor plant health and predict their ability to face these challenges, various target molecules, such as hormones, glucose, and reactive oxygen species, are used as proxies for their physiological status. This review provides a systematic assessment of the current state of biosensor technology, an innovative analytical approach designed for in situ, minimally invasive, and real-time monitoring. Using the PICO (Problem, Intervention, Comparison, and Outcome) strategy, relevant research papers were identified. The review highlights how biosensors can detect physiological responses to stress before visual symptoms manifest, offering a significant advantage over traditional, often destructive, laboratory techniques, like gas chromatography-mass spectrometer (GC-MS) or high-performance liquid chromatography (HPLC). These advancements aim to improve precision agriculture and forestry management by providing sustainable methods to assess resilience in changing environments. Finally, the challenges of translating research from model organisms to complex woody species and choosing the correct target are discussed, and future perspectives, including the integration of biosensors with Artificial Intelligence-driven predictive models for large-scale environmental monitoring, are outlined.

Plant phenotyping relevance

植物ストレスの生理状態をリアルタイムに評価するバイオセンサー技術を体系的にレビューしており、植物フェノタイピング手法が中心である。

Code and data availability

This is a systematic review of plant biosensors with no original phenotyping measurements or computational analysis. The only supplement (biosensors-16-00242-s001.zip) contains PRISMA checklists (Tables S1 and S2), not phenotype datasets, images, code, or models. The Data Availability Statement confirms no new data: 'N

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