求英文大神帮忙。不要谷歌,有道直接翻译的。谢谢
Theaimofthisworkwastodeterminehowin-situportableXRF(pXRF)analysisofores(inthisstudy,n...
The aim of this work was to determine how in-situ portable XRF
(pXRF) analysis of ores (in this study, nickel and iron) may be consistent with data
obtained from well-prepared samples analysed by conventional XRF methods, and to
investigate potential sources of error in field measurements due to different chemi-
cal composition, moisture content and particle size. For this study, 201 samples of
saprolite and laterite, sieved at 125 μm, were selected for their Ni and Fe contents
(from 0.119 to 5.225 % Ni and from 4.7 to 37.2 % Fe for saprolite samples and from
0.38 to 2.94 % Ni and from 21.5 to 55.55 % Fe for laterite samples), compressed to
make powder pellets and used to calibrate the pXRF. It is shown that for these two
elements, pXRF can correlate extremely well (r 2 > 0.98, relative standard error <7 %)
with conventional laboratory results when samples are suitably prepared (dried, pul-
verized and pelletized). Laboratory analysis of a few artificially wetted samples shows
that both Ni and Fe estimated concentrations are directly proportional to moisture
content. In the field, two experiments were conducted, one on an air-dried drill-core
and the second directly on the pit face. The results indicate that because of sample
heterogeneity, Ni and Fe contents are better estimated in the laterite layer than in the
saprolite layer. Despite the many challenges associated with field conditions, pXRF
can provide useful benefits for a number of applications in the mining sector. 展开
(pXRF) analysis of ores (in this study, nickel and iron) may be consistent with data
obtained from well-prepared samples analysed by conventional XRF methods, and to
investigate potential sources of error in field measurements due to different chemi-
cal composition, moisture content and particle size. For this study, 201 samples of
saprolite and laterite, sieved at 125 μm, were selected for their Ni and Fe contents
(from 0.119 to 5.225 % Ni and from 4.7 to 37.2 % Fe for saprolite samples and from
0.38 to 2.94 % Ni and from 21.5 to 55.55 % Fe for laterite samples), compressed to
make powder pellets and used to calibrate the pXRF. It is shown that for these two
elements, pXRF can correlate extremely well (r 2 > 0.98, relative standard error <7 %)
with conventional laboratory results when samples are suitably prepared (dried, pul-
verized and pelletized). Laboratory analysis of a few artificially wetted samples shows
that both Ni and Fe estimated concentrations are directly proportional to moisture
content. In the field, two experiments were conducted, one on an air-dried drill-core
and the second directly on the pit face. The results indicate that because of sample
heterogeneity, Ni and Fe contents are better estimated in the laterite layer than in the
saprolite layer. Despite the many challenges associated with field conditions, pXRF
can provide useful benefits for a number of applications in the mining sector. 展开
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这项工作的目的是为了确定现场便携式光谱仪
(pXRF)分析矿石(在这项研究中,镍和铁)可能与数据一致
由传统的光谱仪分析方法,从准备样本获取的和
调查的潜在来源由于不同的化学——实地测量误差
卡尔组成、含水量和粒度。在这项研究中,201个样本
腐泥土和红土,选择已筛125μm,镍和铁的内容
(从0.119到5.225%镍和铁从4.7到37.2%和腐泥土样本
0.38 - 2.94%镍和铁从21.5到55.55%红土样本),压缩
使粉末颗粒和用于校准pXRF。结果表明,这两种
元素,pXRF可以关联非常好(2 r > 0.98,相对标准误差< 7%)
与传统实验室结果当样品适当准备(干,普尔-
verized和球状的)。一些人为湿样品实验室分析
镍和铁估计浓度直接成正比的水分
内容。在这一领域,进行了两个实验,一个天干岩心
,第二个直接在坑的脸。结果表明,由于样品
异质性、镍和铁含量比在更好的估计在红土层
腐泥土层。尽管与领域相关的许多挑战条件,pXRF
可以提供有用的好处在矿业领域的应用。
(pXRF)分析矿石(在这项研究中,镍和铁)可能与数据一致
由传统的光谱仪分析方法,从准备样本获取的和
调查的潜在来源由于不同的化学——实地测量误差
卡尔组成、含水量和粒度。在这项研究中,201个样本
腐泥土和红土,选择已筛125μm,镍和铁的内容
(从0.119到5.225%镍和铁从4.7到37.2%和腐泥土样本
0.38 - 2.94%镍和铁从21.5到55.55%红土样本),压缩
使粉末颗粒和用于校准pXRF。结果表明,这两种
元素,pXRF可以关联非常好(2 r > 0.98,相对标准误差< 7%)
与传统实验室结果当样品适当准备(干,普尔-
verized和球状的)。一些人为湿样品实验室分析
镍和铁估计浓度直接成正比的水分
内容。在这一领域,进行了两个实验,一个天干岩心
,第二个直接在坑的脸。结果表明,由于样品
异质性、镍和铁含量比在更好的估计在红土层
腐泥土层。尽管与领域相关的许多挑战条件,pXRF
可以提供有用的好处在矿业领域的应用。
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