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ICP–AES法测定铬镍不锈钢中锰、铬、镍、硅、磷、铜、钼的含量 被引量:4
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作者 欧阳文颖 《广东化工》 CAS 2019年第12期157-158,154,共3页
目的:利用了电感耦合等离子体原子发射光谱法(ICP-AES)多元素同时测定的优点,建立了测定铬镍不锈钢中锰、铬、镍、硅、磷、铜、钼的含量的分析方法。方法:样品使用盐酸和硝酸混合酸溶液溶解,使用标准样品制作标准曲线,确定了恰当的工作... 目的:利用了电感耦合等离子体原子发射光谱法(ICP-AES)多元素同时测定的优点,建立了测定铬镍不锈钢中锰、铬、镍、硅、磷、铜、钼的含量的分析方法。方法:样品使用盐酸和硝酸混合酸溶液溶解,使用标准样品制作标准曲线,确定了恰当的工作条件和分析参数。结果:各元素的测定量在测试范围内与原子发射强度呈良好的线性关系,线性相关系数不小于0.9992,7种元素的检出限在0.0003%~0.0015%之间。本实验方法应用于铬镍不锈钢标准样品的测定,样品测定值与标准值基本相符,测定值的相对标准偏差在0.044%~1.164%之间(n=5)。结论:本实验方法操作简便、获得结果迅速,且精密度与准确度良好,可满足日常铬镍不锈钢中多种元素含量的检测需要。 展开更多
关键词 ICP–AES法 铬镍不锈钢 原子含量测定 锰、铬、镍、硅、磷、铜、钼
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Determination of the Trace Element Contents in Plants Using Atomic Absorption Spectrophotometer 被引量:37
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作者 高淑云 《Agricultural Science & Technology》 CAS 2008年第2期6-9,共4页
The aim of the study is to investigate the contents of trace element Se, Cd, Pb in three plants including burdock, ginkgol and garlic via graphite furnace atomic absorption and standard addition method. The results sh... The aim of the study is to investigate the contents of trace element Se, Cd, Pb in three plants including burdock, ginkgol and garlic via graphite furnace atomic absorption and standard addition method. The results show that Se in burdock stem, skin and leaf are 32.40, 48.63, 38.10 μg/g, respectively; Cd in burdock stem, skin and leaf are 0. 160 0, 0. 300 0, 0. 140 0 μg/g, respectively; Cd in burdock stem, skin and leaf are 2. 020, 3. 960, 2. 410 μg/g, respectively. In the ginkgo and ginko leaf, Se contents are 17.63 and 16.91 μg/g, respectively ; for Cd are 0. 181 0 and 0.2020μg/g, respectively ; for Pb are 3. 572 and 4. 021 μg/g, respectively. In garlic, Se, Cd and Pb are 73. 900 0, 6. 900 0 and 0. 390 0, respectively. All the standard deviations of measured results are below 2.3%, recovery rate are from 99% to 101%. 展开更多
关键词 Trace elements GFT AAS BURDOCK GINKGO GARLIC
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Prediction of XRF analyzers error for elements on-line assaying using Kalman Filter 被引量:3
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作者 Nakhaei F Sam A +1 位作者 Mosavi MR Nakhaei A 《International Journal of Mining Science and Technology》 SCIE EI 2012年第4期595-601,共7页
Determination of chemical elements assay plays an important role in mineral processing operations.This factor is used to control process accuracy,recovery calculation and plant profitability.The new assaying methods i... Determination of chemical elements assay plays an important role in mineral processing operations.This factor is used to control process accuracy,recovery calculation and plant profitability.The new assaying methods including chemical methods,X-ray fluorescence and atomic absorption spectrometry are advanced and accurate.However,in some applications,such as on-line assaying process,high accuracy is required.In this paper,an algorithm based on Kalman Filter is presented to predict on-line XRF errors.This research has been carried out on the basis of based the industrial real data collection for evaluating the performance of the presented algorithm.The measurements and analysis for this study were conducted at the Sarcheshmeh Copper Concentrator Plant located in Iran.The quality of the obtained results was very satisfied;so that the RMS errors of prediction obtained for Cu and Mo grade assaying errors in rougher feed were less than 0.039 and 0.002 and in final flotation concentration less than 0.58 and 0.074,respectively.The results indicate that the mentioned method is quite accurate to reduce the on-line XRF errors measurement. 展开更多
关键词 PredictionAccuracyX-ray fluorescence Kalman FilterAssayingError
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