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ICP-AES中元素间干扰的逐步逼近校正方法 总被引:3,自引:0,他引:3
本文基于干扰系数校正法,提出一种新的校正元素间相互干扰的方法——逐步逼近校正法,以及相应的计算机软件系统。对复杂体系中元素间相互光谱干扰和元素“自身”非光谱干扰进行校正,获得了良好的结果。 相似文献
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张晓燕关宁昕张桂芬曹昆武 《化学分析计量》2021,30(7):60-65
利用电感耦合等离子体原子发射光谱法分析了25种元素对磷的光谱干扰及其校正。电感耦合等离子体原子发射光谱法测定样品中磷元素含量时存在光谱干扰,通过干扰系数法,对铍、硼、镁、铝、硅、钙、钪等25种元素对磷元素的光谱干扰情况进行了分析,获得各元素的干扰系数。以国家标准物质GBW 01305为样品,利用该方法对其磷元素含量进行光谱干扰校正分析,测定结果的误差由2.9%降至0.2%。可以该方法为依据对不同材料中磷元素的光谱干扰现象加以校正。 相似文献
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铝合金建材的X射线荧光分析 总被引:1,自引:1,他引:1
陈天文 《分析测试技术与仪器》2007,13(2):88-92
用高性能飞利浦PW2424型X射线荧光光谱仪,测定铝合金建材中的Si、Fe、Cu、Mn、Mg、Zn、Ti、Cr、Ni等9个化学元素的含量.给出各元素的干扰校正系数和基体效应校正系数.方法准确、灵敏,稳定性好,速度快. 相似文献
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研究了金相组织变化对X射线荧光光谱法测定黄铜中Cu、Pb、Fe的影响。Pb相和Fe相的出现使得Cu的测定结果偏高,Pb和Fe的校准曲线不成一条直线。金相组织的变化导致试样测量表面的元素分布不均匀,从而影响了元素间吸收和增强效应的实际效果,理论α影响系数不再适合校正基体效应。提出了4种数学方法来校正金相组织变化的影响:(1)理论α影响系数和经验影响系数相结合的方法;(2)根据析出相的比例校正校准曲线的斜率;(3)引入二次项校正;(4)根据Pb相的析出情况,以Pb含量0.6%为分隔点,对校准曲线分段。 相似文献
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本文提出了一个新经验校正方程,用以校正X射线荧光分析中的吸收-增强效应.它以影响系数和基体元素浓度间的相互关系的两次曲线拟合为基础.在该校正方程中,吸收效应和增强效应均考虑为相同的表达形式.影响系数用多变量最小二乘法计算,分析元素的浓度用迭代程序求得.该方法以Fe-Ni、Fe-Cr、Fe-Ni-Cr、PbO-ZrO2-TiO2-La2O3等四种体系的试样与目前常用的几种经验校正方程,如Lachance-Traill方程、Claisse-Quintin方程、Rasberry-Heinrich方程等作了比较,表明在相当宽的浓度范围内,用本文提出的新校正方程所获得的准确度最好. 相似文献
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应用波长色散X射线荧光光谱法对中低合金钢、电工钢、高锰钢、不锈钢中锰元素进行测定.采用经验系数法校正元素间的增强-吸收效应和光谱重叠干扰,元素检测限为2.1μg/g,线性相关系数大于0.9998.考察了分析方法的精密度和准确度,元素的测定结果与认定值一致,相对标准偏差小于2%. 相似文献
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针对多种类不锈钢多元素成分解析问题,应用X射线荧光光谱分析软件UniQuant,采用扩展基本参数法对多元不锈钢、双相不锈钢进行光谱干扰校正和基体校正,重新设定和优化多元不锈钢基体元素的测试条件,计算背景因子、杂质因子、谱线灵敏度系数和光谱重叠系数,测定Si、Mn、S、P、Ni、Cr、Cu、Mo、V、Al、Ti、Nb、Co、Ta、Fe的相对标准偏差在0.04%~3.8%,Ca、Zr、W、As、Sb、Sn的相对标准偏差在5.4%~20.3%,未知样品检测值与认定值比对结果相当理想,Ni、Cr的平均偏差小于0.05%,可以用很少标准样品实现各类型不锈钢多元素成分准确检测,检测范围宽,适用性好。 相似文献
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Hou JJ Wu WY Da J Yao S Long HL Yang Z Cai LY Yang M Liu X Jiang BH Guo DA 《Journal of chromatography. A》2011,1218(33):5618-5627
Single standard to determine multi-components (SSDMC) is a novel and rational method for quality control of botanical products and traditional Chinese medicines (TCMs). However, it is restricted to wide application due to unknown fluctuation in conversion factors when it is performed in different laboratories. To evaluate the fluctuations of conversion factors, we selected Salvia miltiorrhiza as an example to determine three components of tanshinones by SSDMC method. Then ruggedness and robustness test were adopted to comprehensively investigate three kinds of factors that may influence stability of conversion factors, which were related with environmental parametric variables, operational parametric variables and peak measurement parametric variables. Nested-factorial-design was used to perform ruggedness tests. One-variable-at-a-time (OVAT) procedure and Plackett-Burman (PB) design were both used in robustness test. The results showed that stability of conversion factors was principally related with accuracy of wavelength of UV detector, peak measurement parameters and concentration of standard solution. The acceptable range of conversion factors was obtained from robustness test. Our results showed that conversion factors were inevitable to change, but when key parameters were well controlled, the range of its fluctuation was acceptable and the SSDMC method could be used widely in different laboratories. 相似文献
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In this research, membrane life-time was evaluated by means of accelerated ageing experiments. A pressure pulse unit was used to perform the ageing experiments in an accelerated way. An experimental design has been set up and four ageing factors were varied at two levels. The four ageing factors studied were: fouling status of the membrane, cleaning agent concentration, magnitude of the back pulse and number of applied back pulses. The integrity of the membrane modules was evaluated by means of permeability testing, pressure decay tests and bubble tests. Also tensile tests were performed to investigate the mechanical properties of the membrane modules. The collected data was used for an analysis of variance to determine which ageing factors and which combination of ageing factors influence membrane life time. The analysis showed that the fouling status in combination with the number of applied pressure pulses were significant ageing factors. Additional tensile tests confirmed these results. 相似文献
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A Gamma Spectroscopy Logging System (GSLS) has been developed to study sub-surface radionuclide contamination. The absolute
counting efficiencies of the GSLS detectors were determined using cylindrical reference sources. More complex borehole geometries
were modeled using commercially available shielding software and correction factors were developed based on relative gamma-ray
fluence rates. Examination of varying porosity and moisture content showed that as porisity increases, and as the formation
saturation ratio decreases, relative gamma-ray fluence rates increase linearly for all energies. Correction factors for iron
and water cylindrical shields were found to agree well with correction factors determined during previous studies allowing
for the development of correction factors for type-304 stainless steel and low-carbon steel casings. Regression analyses of
correction factor data produced equations for determining correction factors applicable to spectral gamma-ray well logs acquired
under non-standard borehole conditions. 相似文献
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The effects of including (a) implicit solvent in geometry optimizations, (b) conformationally flexible molecules in test sets, and (c) empirical dispersion D3(BJ) on scaling factors for predicting 1H and 13C NMR chemical shifts were explored. Scaling factors with optimizations performed in the gas phase and with a Polarizable Continuum Model (PCM) solvent model were obtained for 12 organic solvents, including 2,2,2-trifluroethanol and chlorobenzene, for which scaling factors have been developed for the first time. Scaling factors for aromatic solvents were split into primary and secondary scaling factors to account for CH–π effects. Including empirical dispersion D3(BJ) did not lead to significant improvement. 相似文献
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Cecilia B. Castells 《Analytica chimica acta》2003,488(1):107-122
Principal component analysis (PCA) was used to extract the number of factors which can describe the 737 gas-liquid partition coefficients of five linear, four branched, and two cyclic alkanes in 67 common solvents. Based on the reconstruction of partition coefficient data matrix, we concluded that the experimental dataset could readily be reduced to two relevant factors. Using only these two factors, there were no errors larger than 3%, 7 cases had errors larger than 2%, and in 34 cases, errors were between 1 and 2%. n-Hexane and ethylcyclohexane were chosen as the test factors, and all other partition coefficients were expressed in terms of these two test factors. Prediction of the logarithmic partition coefficient of these alkanes in seven chemically different solvents, which were originally excluded from the data matrix, was excellent: the root mean square error was 0.064, only in 11 cases the errors were larger than 1%, and only 3 had errors larger than 4%.Linear solvation energy relationships (LSERs) using both theoretical and empirical solvent parameters were used to explain the molecular interactions responsible for partition. Several combinations of parameters were tried but the standard deviations were not less than 0.31. This could be attributed to the model itself, imprecisions in the data matrix or in some of the LSER parameters. Solvent cohesive parameters and surface tension in combination with polarity-polarizability or dispersion parameters perform the best.Finally, the two principal component factors were rotated onto the most relevant physicochemical parameters that control the gas-liquid partitioning phenomena. 相似文献