用于诊断和监测生命系统压力的仿生脯氨酸传感器

IF 2.9 Q1 AGRICULTURE, MULTIDISCIPLINARY
Cassandra L. Martin, Josephine R. Cicero, Lillian L. Springer, Dorthea A. Geroulakos, Audrey C. Moos and Daniel J. Wilson*, 
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引用次数: 0

摘要

从装饰性的室内植物到养活世界的作物,植物在其一生中受到各种环境压力。气候变化、污染和疾病等因素威胁着植物健康,需要对时间敏感的干预措施来防止广泛的作物损失。我们提出了一种生物启发的比色传感策略,通过利用sinap醛和脯氨酸之间的缩合反应形成一种称为nesocodin的天然红色色素,来测量植物中胁迫的生物标志物脯氨酸。当我们引入脯氨酸分析物时,我们制备了嵌入sinap醛的纸质传感器,该传感器支持新索可丁合成。信号范围从浅黄色(表示未反应的sinapaldehyde)到深红色(表示依赖脯氨酸形成的neocodin)不等。这些传感器可以定量区分0和15毫米的脯氨酸,这足以测量脯氨酸浓度的相对增加的植物暴露在受控的胁迫。这种方法强调了设计可在现场部署、用户友好的农业监测工具、提高农业效率和加强粮食安全的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-Inspired Proline Sensors for the Diagnosis and Surveillance of Stress in Living Systems

From decorative houseplants to the crops that feed the world, plants are subjected to various environmental stresses over their lifetimes. Factors like changes in climate, pollution, and disease threaten plant health, requiring time-sensitive interventions to prevent widespread crop losses. We present a bioinspired colorimetric sensing strategy for measuring proline, a biomarker of stress in plants, by leveraging the condensation reaction between sinapaldehyde and proline to form a natural red pigment called nesocodin. We prepared paper-based sensors embedded with sinapaldehyde that supported nesocodin synthesis when we introduced the proline analyte. Signals range from pale yellow, indicative of unreacted sinapaldehyde, to deep red, indicative of proline-dependent formation of nesocodin. These sensors can quantitatively differentiate between 0 and 15 mM proline, which sufficiently measured relative increases in proline concentrations of plants exposed to controlled stresses. This approach highlights the opportunity to design field-deployable, user-friendly tools for agricultural monitoring, improved farming efficiency, and strengthened food security.

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CiteScore
2.80
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