Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.
Department of Materials, University of Manchester, Manchester M13 9PL, UK.
Biosensors (Basel). 2022 Oct 6;12(10):829. doi: 10.3390/bios12100829.
The yellow rust of wheat (caused by f. sp. ) is a devastating fungal infection that is responsible for significant wheat yield losses. The main challenge with the detection of this disease is that it can only be visually detected on the leaf surface between 7 and 10 days after infection, and by this point, counter measures such as the use of fungicides are generally less effective. The hypothesis of this study is to develop and use a compact electrochemical-based biosensor for the early detection of . , thus enabling fast countermeasures to be taken. The biosensor that was developed consists of three layers. The first layer mimics the wheat leaf surface morphology. The second layer consists of a sucrose/agar mixture that acts as a substrate and contains a wheat-derived terpene volatile organic compound that stimulates the germination and growth of the spores of the yellow rust pathogen f. sp. . The third layer consists of a nonenzymatic glucose sensor that produces a signal once invertase is produced by , which comes into contact with the second layer, thereby converting sucrose to glucose. The results show the proof that this innovative biosensor can enable the detection of yellow rust spores in 72 h.
小麦黄花叶病（由 f. sp. 引起）是一种严重的真菌病害，可导致小麦产量的重大损失。该病害检测的主要挑战在于，在感染后 7 至 10 天，只能在叶片表面上进行肉眼观察，而此时使用杀菌剂等对策通常效果不佳。本研究的假设是开发和使用基于紧凑电化学的生物传感器，对进行早期检测，从而可以快速采取对策。开发的生物传感器由三层组成。第一层模拟小麦叶片表面形态。第二层由蔗糖/琼脂混合物组成，作为基质，其中包含一种源自小麦的萜烯挥发性有机化合物，可刺激黄花叶病病原菌 f. sp. 的孢子萌发和生长。第三层由非酶葡萄糖传感器组成，一旦接触到第二层的转化酶产生，就会产生信号，从而将蔗糖转化为葡萄糖。结果表明，这种创新型生物传感器可以在 72 小时内检测到黄花叶病孢子。
