当前位置: X-MOL 学术Anal. Chem. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Nanocatalytic Interface to Decode the Phytovolatile Language for Latent Crop Diagnosis in Future Farms
Analytical Chemistry ( IF 7.4 ) Pub Date : 2022-07-29 , DOI: 10.1021/acs.analchem.2c02244
Mahima Chandel 1 , Prem Kumar 1 , Anu Arora 2 , Sarita Kataria 1 , Sunil Chandra Dubey 3 , Djanaguiraman M 4 , Kamaljit Kaur 1 , Bandana Kumari Sahu 1 , Abir De Sarkar 2 , Vijayakumar Shanmugam 1
Affiliation  

Crop diseases cause the release of volatiles. Here, the use of an SnO2-based chemoresistive sensor for early diagnosis has been attempted. Ionone is one of the signature volatiles released by the enzymatic and nonenzymatic cleavage of carotene at the latent stage of some biotic stresses. To our knowledge, this is the first attempt at sensing volatiles with multiple oxidation sites, i.e., ionone (4 oxidation sites), from the phytovolatile library, to derive stronger signals at minimum concentrations. Further, the sensitivity was enhanced on an interdigitated electrode by the addition of platinum as the dopant for a favorable space charge layer and for surface island formation for reactive interface sites. The mechanistic influence of oxygen vacancy formation was studied through detailed density functional theory (DFT) calculations and reactive oxygen-assisted enhanced binding through X-ray photoelectron spectroscopy (XPS) analysis.

中文翻译:

用于解码未来农场潜在作物诊断的植物挥发性语言的纳米催化接口

作物病害会导致挥发物的释放。在这里,已经尝试使用基于SnO 2的化学电阻传感器进行早期诊断。紫罗兰酮是在某些生物胁迫的潜伏阶段由胡萝卜素的酶促和非酶促裂解释放的标志性挥发物之一。据我们所知,这是第一次尝试检测具有多个氧化位点的挥发物,,紫罗兰酮(4 个氧化位点),来自植物挥发物库,以在最低浓度下获得更强的信号。此外,通过添加铂作为有利空间电荷层的掺杂剂和用于反应界面位点的表面岛形成,可以提高交叉指型电极的灵敏度。通过详细的密度泛函理论 (DFT) 计算和通过 X 射线光电子能谱 (XPS) 分析的活性氧辅助增强结合研究了氧空位形成的机械影响。
更新日期:2022-07-29
down
wechat
bug