Compost Cation Exchange Capacity via Portable X-Ray Fluorescence (PXRF) Spectrometry

IF 2 4区 农林科学 Q3 ECOLOGY
Bin Li, S. Chakraborty, Maria Fernanda Godoy Sosa, N. Y. Kusi, D. Weindorf
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引用次数: 9

Abstract

Abstract Compost is a valuable organic amendment which affords substantive fertility to soils where applied. A common component of compost fertility is cation exchange capacity (CEC), which has traditionally been determined via standard wet chemistry laboratory methods. This research utilized portable X-ray fluorescence (PXRF) spectrometry to evaluate 74 compost samples from the USA and Canada. PXRF elemental data were used for predicting compost CEC via random forest (RF) regression. Comparison between laboratory-determined vs. PXRF predicted CEC produced the following relationships: R2=0.90, RMSE = 5.41 meq 100 g−1 (model calibration) and R2=0.60, RMSE = 8.07 meq 100 g−1 (model validation). A key advantage of this technique is that the same data used for CEC prediction can also yield insight into other compost parameters of interest such as heavy metal content, plant essential nutrient content, salinity, and pH. Taken collectively, the PXRF approach can provide rapid, on-site analysis of compost which was previously not feasible with conventional methods. Our initial study has established the viability of PXRF for compost CEC determination, with further development on a wider array of feedstocks suggested for future study.
便携式X射线荧光光谱法测定堆肥阳离子交换能力
摘要堆肥是一种有价值的有机改良剂,在施用时可为土壤提供实质性的肥力。堆肥肥力的一个常见组成部分是阳离子交换容量(CEC),传统上通过标准的湿化学实验室方法来确定。本研究利用便携式X射线荧光光谱法对来自美国和加拿大的74个堆肥样品进行了评估。PXRF元素数据用于通过随机森林(RF)回归预测堆肥CEC。实验室测定的CEC与PXRF预测的CEC之间的比较产生了以下关系:R2=0.90,RMSE = 5.41毫克当量100 g−1(模型校准),R2=0.60,RMSE = 8.07毫克当量100 g−1(模型验证)。该技术的一个关键优势是,用于CEC预测的相同数据也可以深入了解其他感兴趣的堆肥参数,如重金属含量、植物必需营养素含量、盐度和pH。综合来看,PXRF方法可以提供堆肥的快速现场分析,这在以前传统方法中是不可行的。我们的初步研究已经确定了PXRF用于堆肥CEC测定的可行性,并建议在未来的研究中进一步开发更广泛的原料。
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来源期刊
Compost Science & Utilization
Compost Science & Utilization 农林科学-生态学
CiteScore
4.10
自引率
0.00%
发文量
0
审稿时长
>36 weeks
期刊介绍: 4 issues per year Compost Science & Utilization is currently abstracted/indexed in: CABI Agriculture & Environment Abstracts, CSA Biotechnology and Environmental Engineering Abstracts, EBSCOhost Abstracts, Elsevier Compendex and GEOBASE Abstracts, PubMed, ProQuest Science Abstracts, and Thomson Reuters Biological Abstracts and Science Citation Index
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