Literature DB >> 32559899

Compost salinity assessment via portable X-ray fluorescence (PXRF) spectrometry.

David C Weindorf1, Somsubhra Chakraborty2, Bin Li3, Sanjit Deb4, Atinderpal Singh4, Nana Y Kusi4.   

Abstract

Compost salinity is an ongoing concern for compost producers, especially with certain feedstocks and in arid or semiarid regions. Current testing protocols call for sampling and testing ex-situ via 1:5 (w/v) slurries via electrical conductance. For this research an alternate approach has been proposed, the use of portable X-ray fluorescence (PXRF) spectrometry. Adapting methods developed for soil and water salinity analysis via PXRF, elemental data was used as a proxy for the prediction of compost salinity. In total, 74 compost samples were scanned with PXRF followed by traditional laboratory analysis. Results indicated a strong correlation between the datasets (R2 0.80; RMSE 1.04 dS m-1), similar to findings for soil and water salinity. Furthermore, using the same elemental dataset, compost pH was reasonably predicted (R2 0.63; RMSE 0.35). PXRF has the benefit of being able to be conducted in-situ or in the laboratory. And, multiple chemical parameters of interest can potentially be predicted from the same dataset. In conclusion, PXRF shows promise for rapid, in-situ salinity determination of composted products.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Compost; PXRF; Proximal sensors; Salinity; pH

Year:  2018        PMID: 32559899     DOI: 10.1016/j.wasman.2018.05.044

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  A general framework and practical procedure for improving pxrf measurement accuracy with integrating moisture content and organic matter content parameters.

Authors:  Zengsiche Chen; Ya Xu; Guoyuan Lei; Yuqiang Liu; Jingcai Liu; Guangyuan Yao; Qifei Huang
Journal:  Sci Rep       Date:  2021-03-12       Impact factor: 4.379

  1 in total

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