Zedler Marie, Tse Sze Wai, Ruiz-Gonzalez Antonio, Haseloff Jim
Department of Plant Sciences, University of Cambridge, Downing St., Cambridge CB2 3EA, UK.
Micromachines (Basel). 2023 Jan 26;14(2):314. doi: 10.3390/mi14020314.
The rising population and the ongoing climate crisis call for improved means to monitor and optimise agriculture. A promising approach to tackle current challenges in food production is the early diagnosis of plant diseases through non-invasive methods, such as the detection of volatiles. However, current devices for detection of multiple volatiles are based on electronic noses, which are expensive, require complex circuit assembly, may involve metal oxides with heating elements, and cannot easily be adapted for some applications that require miniaturisation or limit front-end use of electronic components. To address these challenges, a low-cost optoelectronic nose using chemo-responsive colorimetric dyes drop-casted onto filter paper has been developed in the current work. The final sensors could be used for the quantitative detection of up to six plant volatiles through changes in colour intensities with a sub-ppm level limit of detection, one of the lowest limits of detection reported so far using colorimetric gas sensors. Sensor colouration could be analysed using a low-cost spectrometer and the results could be processed using a microcontroller. The measured volatiles could be used for the early detection of plant abiotic stress as early as two days after exposure to two different stresses: high salinity and starvation. This approach allowed a lowering of costs to GBP 1 per diagnostic sensing paper. Furthermore, the small size of the paper sensors allows for their use in confined settings, such as Petri dishes. This detection of abiotic stress could be easily achieved by exposing the devices to living plants for 1 h. This technology has the potential to be used for monitoring of plant development in field applications, early recognition of stress, implementation of preventative measures, and mitigation of harvest losses.
人口增长和持续的气候危机要求改进监测和优化农业的手段。应对当前粮食生产挑战的一个有前景的方法是通过非侵入性方法早期诊断植物病害,例如检测挥发性物质。然而,目前用于检测多种挥发性物质的设备基于电子鼻,电子鼻价格昂贵,需要复杂的电路组装,可能涉及带有加热元件的金属氧化物,并且不容易适用于一些需要小型化或限制电子元件前端使用的应用。为应对这些挑战,在当前工作中开发了一种低成本的光电鼻,它使用化学响应比色染料滴铸在滤纸上。最终的传感器可通过颜色强度变化对多达六种植物挥发性物质进行定量检测,检测限达到亚ppm级别,这是迄今为止使用比色气体传感器报道的最低检测限之一。传感器的颜色变化可以使用低成本的光谱仪进行分析,结果可以使用微控制器进行处理。所测量的挥发性物质可用于在暴露于两种不同胁迫(高盐度和饥饿)后两天就早期检测植物非生物胁迫。这种方法将成本降低到每张诊断传感纸1英镑。此外,纸质传感器体积小,可用于有限的环境,如培养皿。通过将设备暴露于活体植物1小时,就可以轻松实现对非生物胁迫的检测。这项技术有潜力用于田间应用中的植物发育监测、胁迫的早期识别、预防措施的实施以及收获损失的减轻。