Rapid Detection of Soil Available Phosphorus using Capacitively Coupled Contactless Conductivity Detection
文献类型：期刊论文
| 作者 | Gao, Jun1,2 ; Li, Wei1; Li, Jiaoe1; Wang, Rujing1,2
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| 刊名 | CURRENT ORGANIC SYNTHESIS
 |
| 出版日期 | 2024-09-23 |
| 关键词 | Soil available phosphorus on-site rapid pretreatment, detection, capacitively coupled contactless conductivity detection capillary electrophoresis back propagation neural network model |
| ISSN号 | 1570-1794 |
| DOI | 10.2174/0115701794295930240902050855 |
| 通讯作者 | Wang, Rujing(rjwang@iim.ac.cn) |
| 英文摘要 | Background In China, the traditional method for analyzing soil available phosphorus is inadequate for large-scale soil assessment and nationwide soil formulation demands. To address this, we propose a rapid and reliable method for soil-available phosphorus detection. The setup includes an on-site rapid pre-treatment device, a non-contact conductivity detection device, and a capillary electrophoresis buffer solution system composed of glacial acetic acid and hydroxypropyl-beta-cyclodextrin.Methods The on-site rapid pre-treatment process includes fresh soil moisture content detection (moisture rapid detector), weighing (handheld weighing meter), stirring (handheld rapid stirrer), and filtration (soil rapid filter) to obtain the liquid sample, and direct injection (capillary electrophoresis detector). The phosphate ion detection parameters include capillary size, separation voltage, injection parameters, and electric injection. We used Liaoning brown soil, Henan yellow tidal soil, Heilongjiang black soil, and Anhui tidal soil as standard samples. Additionally, we used mathematical modeling methods and machine learning algorithms to analyze and process research data.Results and Conclusion Following calibration with standard samples, the experimental blind test samples demonstrated conformity with the national standard method, exhibiting a relative standard deviation of less than 3%. The proposed pre-treatment device and non-contact conductivity detector are powered by lithium-ion batteries, rendering them ideal for extended field operations. The non-contact conductivity detector obviates the need for direct contact with test samples, mitigating environmental pollution. Furthermore, the neural network model exhibited the highest level of goodness of fit in chemical data analysis. |
| WOS关键词 | REGRESSION-MODEL ; CAPILLARY-ELECTROPHORESIS ; AIR-QUALITY ; LOCAL SCALE ; VALIDATION ; PREDICTION ; ELECTRODE |
| WOS研究方向 | Chemistry |
| 语种 | 英语 |
| WOS记录号 | WOS:001330491900001 |
| 出版者 | BENTHAM SCIENCE PUBL LTD |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/134548]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Wang, Rujing |
| 作者单位 | 1.Chinese Acad Sci, Intelligent Agr Engn Lab Anhui Prov, Hefei Inst Phys Sci, Inst Intelligent Med, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Grad Sch USTC, Sci Isl Branch, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Jun,Li, Wei,Li, Jiaoe,et al. Rapid Detection of Soil Available Phosphorus using Capacitively Coupled Contactless Conductivity Detection[J]. CURRENT ORGANIC SYNTHESIS,2024. |
| APA | Gao, Jun,Li, Wei,Li, Jiaoe,&Wang, Rujing.(2024).Rapid Detection of Soil Available Phosphorus using Capacitively Coupled Contactless Conductivity Detection.CURRENT ORGANIC SYNTHESIS. |
| MLA | Gao, Jun,et al."Rapid Detection of Soil Available Phosphorus using Capacitively Coupled Contactless Conductivity Detection".CURRENT ORGANIC SYNTHESIS (2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
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