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迈向仿生物联网:利用智能手机询问植物传感器进行环境监测。

Towards a bionic IoT: Environmental monitoring using smartphone interrogated plant sensors.

机构信息

School of Electrical Engineering & Telecommunications, University of New South Wales, Sydney, NSW, Australia.

Laseire Pty Ltd, Sydney, NSW, Australia.

出版信息

PLoS One. 2023 Feb 10;18(2):e0265856. doi: 10.1371/journal.pone.0265856. eCollection 2023.

Abstract

The utilisation of plants directly as quantifiable natural sensors is proposed. A case study measuring surface wettability of Aucuba japonica, or Japanese Laurel, plants using a novel smartphone field interrogator is demonstrated. This plant has been naturalised globally from Asia. Top-down contact angle measurements map wettability on-site and characterise a range of properties impacting plant health, such as aging, solar and UV exposure, and pollution. Leaves at an early age or in the shadow of trees are found to be hydrophobic with contact angle θ ~ 99°, while more mature leaves under sunlight are hydrophilic with θ ~ 79°. Direct UVA irradiation at λ = 365 nm is shown to accelerate aging, changing contact angle of one leaf from slightly hydrophobic at θ ~ 91° to be hydrophilic with θ ~ 87° after 30 min. Leaves growing beside a road with heavy traffic are observed to be substantially hydrophilic, as low as θ ~ 47°, arising from increased wettability with particulate accumulation on the leaf surface. Away from the road, the contact angle increases as high as θ ~ 96°. The results demonstrate that contact angle measurements using a portable diagnostic IoT edge device can be taken into the field for environmental detection, pollution assessment and more. Using an Internet connected smartphone combined with a plant sensor allows multiple measurements at multiple locations together in real-time, potentially enabling tracking of parameter change anywhere where plants are present or introduced. This hybrid integration of widely distributed living organic systems with the Internet marks the beginning of a new bionic Internet-of-things (b-IoT).

摘要

提出了直接利用植物作为可量化自然传感器的方法。本研究通过使用新型智能手机现场询问器,演示了一种测量日本桃叶珊瑚(Aucuba japonica)植物表面润湿性的案例研究。该植物已从亚洲在全球范围内自然归化。自上而下的接触角测量可以现场绘制润湿性,并描述影响植物健康的一系列特性,例如老化、太阳和紫外线暴露以及污染。研究发现,早期的叶子或在树荫下的叶子具有疏水性,接触角θ99°,而在阳光下的更成熟的叶子则具有亲水性,θ79°。研究表明,365nm 的直接 UVA 辐射会加速老化,使一片叶子的接触角从略疏水性θ91°变为亲水性θ87°,历时 30 分钟。在交通繁忙的道路旁生长的叶子观察到具有很高的亲水性,低至θ47°,这是由于叶片表面颗粒物积累导致的润湿性增加。远离道路时,接触角会增加到高达θ96°。结果表明,使用便携式诊断物联网边缘设备进行接触角测量可以在现场进行环境检测、污染评估等。使用连接互联网的智能手机结合植物传感器可以实时在多个位置进行多次测量,从而有可能跟踪任何存在或引入植物的地方的参数变化。这种广泛分布的活体有机系统与互联网的混合集成标志着新型仿生物联网(b-IoT)的开始。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/904f/9917261/d5f860d165a7/pone.0265856.g001.jpg

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