Compost Cation Exchange Capacity via Portable X-Ray Fluorescence (PXRF) Spectrometry.
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| Title: | Compost Cation Exchange Capacity via Portable X-Ray Fluorescence (PXRF) Spectrometry. |
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| Authors: | Li, Bin1, Chakraborty, Somsubhra2, Sosa, Maria Fernanda Godoy3, Kusi, Nana Yaw O.4, Weindorf, David C.4 |
| Source: | Compost Science & Utilization. 2018, Vol. 26 Issue 4, p271-278. 8p. |
| Subjects: | Compost industry, Fertility, X-ray fluorescence, Parameters (Statistics) |
| Geographic Terms: | Canada |
| 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Compost Science & Utilization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 135648437 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Compost Cation Exchange Capacity via Portable X-Ray Fluorescence (PXRF) Spectrometry. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Bin%22">Li, Bin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chakraborty%2C+Somsubhra%22">Chakraborty, Somsubhra</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sosa%2C+Maria+Fernanda+Godoy%22">Sosa, Maria Fernanda Godoy</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kusi%2C+Nana+Yaw+O%2E%22">Kusi, Nana Yaw O.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Weindorf%2C+David+C%2E%22">Weindorf, David C.</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Compost+Science+%26+Utilization%22">Compost Science & Utilization</searchLink>. 2018, Vol. 26 Issue 4, p271-278. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Compost+industry%22">Compost industry</searchLink><br /><searchLink fieldCode="DE" term="%22Fertility%22">Fertility</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+fluorescence%22">X-ray fluorescence</searchLink><br /><searchLink fieldCode="DE" term="%22Parameters+%28Statistics%29%22">Parameters (Statistics)</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Canada%22">Canada</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Compost Science & Utilization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/1065657X.2018.1522280 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 271 Subjects: – SubjectFull: Compost industry Type: general – SubjectFull: Fertility Type: general – SubjectFull: X-ray fluorescence Type: general – SubjectFull: Parameters (Statistics) Type: general – SubjectFull: Canada Type: general Titles: – TitleFull: Compost Cation Exchange Capacity via Portable X-Ray Fluorescence (PXRF) Spectrometry. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Bin – PersonEntity: Name: NameFull: Chakraborty, Somsubhra – PersonEntity: Name: NameFull: Sosa, Maria Fernanda Godoy – PersonEntity: Name: NameFull: Kusi, Nana Yaw O. – PersonEntity: Name: NameFull: Weindorf, David C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 1065657X Numbering: – Type: volume Value: 26 – Type: issue Value: 4 Titles: – TitleFull: Compost Science & Utilization Type: main |
| ResultId | 1 |