Department of Sustainable Agriculture Sciences, Rothamsted Research, Harpenden, Hertfordshire, United Kingdom.
World Agroforestry (ICRAF), Nairobi, Kenya.
PLoS One. 2022 Jan 11;17(1):e0262460. doi: 10.1371/journal.pone.0262460. eCollection 2022.
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.
随着本地混合肥料的日益普及,肥料行业面临着质量控制和肥料掺假的问题。另一个问题是肥料中痕量元素的污染,这些元素随后会在土壤中积累,并被植物吸收,对环境和人类健康构成威胁。为了确保肥料的质量并符合当地法规,需要使用传统的特征描述方法,但这些方法既昂贵又耗时,有时甚至无法获得。相反,本研究使用未经修改和有意修改的多种肥料,为便携式手持 X 射线荧光 (pXRF) 光谱仪开发了经验校准,确定了估计宏观和微量营养素的可靠性,并评估了 pXRF 在肥料中痕量元素污染物高通量检测中的使用。使用 pXRF 为 Mg、P、S、K、Ca、Mn、Fe、Zn 和 Mo 开发的模型的 R2 值大于或等于 0.97。这些模型在验证中也表现良好,R2 值大于或等于 0.97(Fe 除外,R2val = 0.55),斜率值范围为 0.81 至 1.44。另一组模型是针对改良肥料中的痕量元素开发的。校准 Co、Ni、As、Se、Cd 和 Pb 的 R2 值大于或等于 0.80。在高达 1000 mg kg-1 的浓度下,也获得了良好的验证统计数据;R2 值范围为 0.97-0.99,除了一个例外。验证的回归系数在 0-100 mg kg-1 的范围内也有很好的预测(R2 值为 0.78-0.99),但在低浓度至 20 mg kg-1 范围内则不太好(R2 值范围为 0.10-0.99),特别是对于 Cd。本研究表明,pXRF 可以高精度和高精确度测量肥料中的几种主要(P、Ca)和微量(Mn、Fe、Cu)营养素以及痕量元素和潜在污染物(Cr、Ni、As)。考虑到松散粉末在不使用真空泵的情况下最多扫描 90 秒,本研究获得的结果是很好的。