Sensor-Based Assessment of Plant–Microbe Energy Interactions

IEEE Transactions on AgriFood Electronics Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI:10.1109/TAFE.2026.3658999
Alessandro Zompanti;Miriana D'Addesa;Bruno Carneiro;Giorgio Pennazza;Etelvina Figueira;Simone Grasso;Anna Sabatini;Davide Cacciari;Luca Vollero;Gil Gonçalves;Marco Santonico
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Abstract

The BIONOTE-L voltametric sensor was used in this work to exploit cyclic voltammetry as an operating principle to interact with the plant/soil system. Indeed, in bacteria, the metabolic process oxidizes organic compounds from the soil organic matter with extracellular electron transfer. Plants can also release electrons into the rhizosphere—in what are known as plant microbial fuel cells (PMFCs). The electrons obtained, when appropriately conveyed, generate an electric current. On this basis, the innovation of a sensor system “interrogating” the plant/soil system via cyclic voltammetry is proposed. This work tries to place a new paradigm: Rather than exploiting the energy autonomously produced, the plant-microorganism system and the interaction that occurs between them can be analyzed in energetic terms, which is novel with respect to the standard approach measuring other parameters related to plant growth. An external input is provided, and the response of the system to this solicitation is observed. The energy extracted does not have the purpose of powering other devices or being stored. Instead, it is treated as data on the state of health of the plant-microorganism system. This test has been structured as a step-by-step experimental investigation, with a gradual increase in complexity. The BIONOTE-L was tested to analyze the behavior of four different genera of bacteria in solution: Rhizobium, Bacillus, Enterobacter, and Kosakonia. The behavior of Bacillus was then analyzed in interaction with the soil and with a corn plant (Zea mays L.). The gradual growth of the bacteria in the solution was assessed using a spectrophotometer (optical density: O.D.) and predicting O.D. with BIONOTE-L with root mean square errors in cross validation from 0.004 to 0.2 (depending on the different bacteria). Specific fingerprints were detected for each hour of bacterial growth (therefore specific for the concentration of bacteria in solution) and for each different genus of bacteria. Finally, the electrical response of Bacillus in interaction with the soil and plant was characterized, thus providing a specific electrical signature to be monitored in a real-world scenario.
基于传感器的植物-微生物能量相互作用评估
在这项工作中,BIONOTE-L伏安传感器利用循环伏安法作为与植物/土壤系统相互作用的工作原理。事实上,在细菌中,代谢过程通过细胞外电子转移将土壤有机质中的有机化合物氧化。植物也可以将电子释放到根际,这被称为植物微生物燃料电池(pmfc)。所获得的电子,如果适当地传递,就会产生电流。在此基础上,提出了一种通过循环伏安法“询问”植物/土壤系统的传感器系统的创新。这项工作试图建立一个新的范例:植物-微生物系统和它们之间发生的相互作用可以用能量的术语来分析,而不是利用自主产生的能量,这与测量与植物生长相关的其他参数的标准方法相比是新颖的。提供外部输入,并观察系统对该请求的响应。提取的能量不用于为其他设备供电或储存。相反,它被视为植物-微生物系统健康状态的数据。这个测试是一个循序渐进的实验研究,复杂度逐渐增加。对BIONOTE-L进行了测试,分析了四种不同属的细菌在溶液中的行为:根瘤菌、芽孢杆菌、肠杆菌和Kosakonia。然后分析了芽孢杆菌与土壤和玉米植株(Zea mays L.)相互作用的行为。使用分光光度计(光密度:od)评估溶液中细菌的逐渐生长,并使用BIONOTE-L预测od,交叉验证的均方根误差为0.004至0.2(取决于不同的细菌)。对细菌生长的每个小时(因此对溶液中细菌的浓度有特异性)和每个不同的细菌属进行了特定的指纹检测。最后,对芽孢杆菌与土壤和植物相互作用的电响应进行了表征,从而提供了在现实世界中监测的特定电信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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