In-SITE:用于水化状态、体积密度和碳储量评估的原位土壤地形学检查平台

IF 10.61 Q3 Biochemistry, Genetics and Molecular Biology Biosensors and Bioelectronics: X Pub Date : 2024-11-14 DOI:10.1016/j.biosx.2024.100559
Vikram Narayanan Dhamu , Diya Baby , Mohammed Eldeeb , Sriram Muthukumar , Shalini Prasad
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引用次数: 0

摘要

本研究介绍了电化学阻抗光谱(EIS)在土壤健康综合评估中的新应用,尤其侧重于容重(BD)分析。传统的体积密度测量方法虽然有效,但需要大量人力,而且容易出现误差,尤其是在不同的现场条件下。相比之下,EIS 为实时、原位测量提供了可靠、经济、无创的解决方案。该研究概述了室温离子液体(RTIL)功能化传感器的使用情况,以及用于现场部署的便携式硬件系统的开发情况。实验规程包括通过在各种土壤类型中以 50 kHz 至 5 Hz 的频率扫描来收集阻抗数据,以构建土壤湿度剖面,校准曲线显示阻抗值与土壤湿度之间存在很强的相关性,从而验证了该方法的准确性。研究介绍了 DENSE 模型,该模型使用阻抗数据预测土壤体积密度,结果与标准质量/体积技术非常接近。进一步的分析揭示了土壤湿度、BD 和阻抗之间的复杂关系,从而为准确预测 BD 建立了校准模型。此外,该研究还通过整合土壤有机碳百分比、BD 和土壤深度数据来估算碳含量,从而扩展到碳储量分析。总之,这些研究结果凸显了这种基于 EIS 的传感器作为实时土壤健康监测的多功能精确工具的潜力,为精准农业和可持续农业实践做出了重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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In-SITE: In situ soil topological examination platform for hydration state, volumetric density and carbon stocks assessment
This study presents a novel application of electrochemical impedance spectroscopy (EIS) for comprehensive soil health assessment, with a particular emphasis on bulk density (BD) analysis. Conventional methods for BD measurement, while effective, can be labor-intensive and prone to inaccuracies, especially in varying field conditions. In contrast, EIS offers a reliable, cost-effective, and non-invasive solution for real-time, in-situ measurements. The research outlines the use of Room Temperature Ionic Liquid (RTIL) functionalized sensors and the development of a portable hardware system for field deployment. Experimental protocols involved collecting impedance data by sweeping from 50 kHz to 5 Hz across various soil types to construct soil moisture profiles, and calibration curves demonstrated a strong correlation between impedance values and soil moisture content, validating the method's accuracy. The study introduces the DENSE model, which uses impedance data to predict soil volumetric density, with results closely matching standard mass/volume techniques. Further analysis reveals the complex relationships between soil moisture, BD, and impedance, producing calibrated models for accurate BD prediction. Additionally, the study extends to carbon stock analysis by integrating data on soil organic carbon percentage, BD, and soil depth to estimate carbon levels. Collectively, these findings underscore the potential of this EIS-based sensor as a versatile and precise tool for real-time soil health monitoring, offering significant contributions to precision agriculture and sustainable farming practices.
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来源期刊
Biosensors and Bioelectronics: X
Biosensors and Bioelectronics: X Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
166
审稿时长
54 days
期刊介绍: Biosensors and Bioelectronics: X, an open-access companion journal of Biosensors and Bioelectronics, boasts a 2020 Impact Factor of 10.61 (Journal Citation Reports, Clarivate Analytics 2021). Offering authors the opportunity to share their innovative work freely and globally, Biosensors and Bioelectronics: X aims to be a timely and permanent source of information. The journal publishes original research papers, review articles, communications, editorial highlights, perspectives, opinions, and commentaries at the intersection of technological advancements and high-impact applications. Manuscripts submitted to Biosensors and Bioelectronics: X are assessed based on originality and innovation in technology development or applications, aligning with the journal's goal to cater to a broad audience interested in this dynamic field.
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