材料科学
催化作用
有害生物分析
氧化磷酸化
信号(编程语言)
移动设备
纳米技术
化学
计算机科学
生物
生物化学
程序设计语言
植物
操作系统
作者
Prem Kumar,Mahima Chandel,Sarita Kataria,Kanchan Swami,Kamaljit Kaur,Bandana Kumari Sahu,Ankita Dadhich,Rajashri Urkude,Kesavan Subaharan,Nikhil Koratkar,Vijayakumar Shanmugam
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2023-12-19
卷期号:9 (1): 81-91
被引量:1
标识
DOI:10.1021/acssensors.3c01669
摘要
In agriculture, pest management is a major challenge. Crop releases volatiles in response to the pest; hence, sensing these volatile signals at a very early stage will ease pest management. Here, binary catalyst-loaded SnO2 nanoparticles of <5 nm were synthesized for the repeated capture and oxidation of the signature volatile and its products to amplify the chemoresistive signal to detect concentrations as low as ≈120 ppb. The sensitivity may be due to the presence of the elements in the Sn–Fe–Pt bond evidenced by extended X-ray absorption fine-structure spectroscopy (EXAFS) that captures and oxidize the volatile without escaping. This strong catalyst may oxidize nontarget volatiles and can cause false signals; hence, a molecular sieve filter has been coupled to ensure high selectivity for the detection ofTuta absolutainfestation in tomato. Finally, with the support of a mobile power bank, the optimized sensor has been assembled into a lightweight handheld device.
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