Evidence map›Paper›PMID 35015770›Full record

ArticlePloS one2022

Portable X-ray fluorescence (pXRF) calibration for analysis of nutrient concentrations and trace element contaminants in fertilisers.

Gifty E Acquah, Javier Hernandez-Allica, Cathy L Thomas, Sarah J Dunham, Erick K Towett, Lee B Drake, Keith D Shepherd, Steve P McGrath, Stephan M Haefele

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gifty E AcquahDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.ORCID 0000-0003-4269-0903
Javier Hernandez-AllicaDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.
Cathy L ThomasDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.
Sarah J DunhamDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.
Erick K TowettWorld Agroforestry (ICRAF), Nairobi, Kenya.
Lee B DrakeDepartment of Anthropology, University of New Mexico, Albuquerque, NM, United States of America.
Keith D ShepherdWorld Agroforestry (ICRAF), Nairobi, Kenya.ORCID 0000-0001-7144-3915
Steve P McGrathDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.ORCID 0000-0003-0952-8947
Stephan M HaefeleDepartment of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing popularity of local blending of fertilisers, the fertiliser industry faces issues regarding quality control and fertiliser adulteration. Another problem is the contamination of fertilisers with trace elements that have been shown to subsequently accumulate in the soil and be taken up by plants, posing a danger to the environment and human health. Conventional characterisation methods necessary to ensure the quality of fertilisers and to comply with local regulations are costly, time consuming and sometimes not even accessible. Alternatively, using a wide range of unamended and intentionally amended fertilisers this study developed empirical calibrations for a portable handheld X-ray fluorescence (pXRF) spectrometer, determined the reliability for estimating the macro and micro nutrients and evaluated the use of the pXRF for the high-throughput detection of trace element contaminants in fertilisers. The models developed using pXRF for Mg, P, S, K, Ca, Mn, Fe, Zn and Mo had R2 values greater or equal to 0.97. These models also performed well on validation, with R2 values greater or equal to 0.97 (except for Fe, R2val = 0.55) and slope values ranging from 0.81 to 1.44. A second set of models were developed with a focus on trace elements in amended fertilisers. The R2 values of calibration for Co, Ni, As, Se, Cd and Pb were greater than or equal to 0.80. At concentrations up to 1000 mg kg-1, good validation statistics were also obtained; R2 values ranged from 0.97-0.99, except in one instance. The regression coefficients of the validation also had good prediction in the range of 0-100 mg kg-1 (R2 values were from 0.78-0.99), but not as well at lower concentrations up to 20 mg kg-1 (R2 values ranged from 0.10-0.99), especially for Cd. This study has demonstrated that pXRF can measure several major (P, Ca) and micro (Mn, Fe, Cu) nutrients, as well as trace elements and potential contaminants (Cr, Ni, As) in fertilisers with high accuracy and precision. The results obtained in this study is good, especially considering that loose powders were scanned for a maximum of 90 seconds without the use of a vacuum pump.

Indexed as

Environmental MonitoringFertilizersNutrientsSoilSoil PollutantsSpectrometry, X-Ray EmissionTrace ElementsFertilizersNutrientsSoilSoil PollutantsTrace Elements

Identifiers

PMID35015770
PMCPMC8751988

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.