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用Microsoft Excel对实验数据处理的方法 总被引:3,自引:0,他引:3
介绍采用Microsoft Excel2000对实验数据进行处理和数据分析。该种方法既可简化大量平行数据取平均值的计算,又可根据数据进行自动绘图,而且在图表生成后只要修改某个数据图形会自动调整。该文同时详细介绍用此方法对邻二氮菲分光光度法测定微量铁绘制吸收曲线和标准曲线的方法。 相似文献
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一、前言 炼油厂入口微量油分析是常规分析化验项目,其数据来源于回归曲线中的K值和光密度的乘积。在分析试样时,要求先用标准物绘制标准曲线,国家环保局统编的分析方法中也要求绘制标准曲线,以往使用的分光光度计虽然本身也能处理实验数据绘制标准曲线,但是在获得多组实验数据,运用标准曲线求被测物的含量,方法本身带有很大误 相似文献
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在最佳实验条件下,采用火焰原子吸收光谱法测定大豆豆渣中微量金属铜和锌的含量。实验结果表明,该方法标准曲线的线性关系好,加标回收率为92.0%~100.4%,相对标准偏差小于5%,说明该方法简便快速,准确度和精密度高。 相似文献
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水中微量尿素的分析方法为二乙酰基一肟比色法,此法标准曲线制作难度较高,一般相关系数仅为0.99,甚至0.9,一般实验室要求标准曲线相关系数至少达到0.999,通过大量实验,从实验用水、试剂,以及操作过程中找出了影响分析方法的因素,最终实现目标。 相似文献
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氯根的测定,通常是用硝酸银直接滴定1。对于微量氯根的测定又有电位滴定法2及汞量法3。这些方法在测定磷酸氢二钠中微量氯根时,存在着干扰大、费时、滴定误差大等缺点,影响了分析结果的准确性。由于氯化银的稳定性不易掌握,利用分光光度法测定微量氯根的方法未见报道。本文研究了以HNO3为介质在聚乙烯醇作稳定剂的条件下,用分光光度法测定磷酸氢二钠中的微量氯根。实验结果表明,该方法操作简便,稳定性及重现性好,结果可靠,由此建立了测定微量氯根的新方法。1、实验部分1.1 仪器与试剂分光光度计:7230型,上海分析仪器厂。Cl-标准溶液(1.0m… 相似文献
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选取几个典型的基础有机化学实验,通过常量、半微量、微量的比较实验,揭示了微型实验教学的一些优点和存在的问题,并提出了解决的方法。确认微型实验是实验改革的方向。 相似文献
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使用差热分析方法测定玻璃的转变温度Tg和液化温度Tm。假定与形核方程和生长方程相联系的几个参数是固定不变的,作样品的形核和生长速率曲线,发现样品中TiO2的含量越高,在形核和生长速率曲线间的距离越大,同时相应的最大形核的生长速率的相对温度越低。 相似文献
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低收缩添加剂对聚酯树脂固化的影响 总被引:2,自引:0,他引:2
本文采用SPI法测定加入不同含量低收缩添加剂(LPA)的不饱和聚酯树脂的固化放热曲线。研究了低收缩添加剂的用量,以及中低温固化体系对不饱和聚酯树脂的凝胶时间,固化时间,放热峰温度,固化放热量的影响。 相似文献
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流化床干燥器中临界湿含量测定 总被引:4,自引:0,他引:4
介绍用气相法和固相法测定流化状态下物料临界湿含量的方法,并将实验结果与洞道式干燥器中测得的数据做了比较。结果表明,用气相法测定流化状态下物料临界湿含量具有操作简便、快速和省料的优点。 相似文献
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介绍了FP—640火焰光度计采用低、高标法钠含量的测定。与标准曲线法钠含量测定相比较,该法具有方便、快速、准确度高的特点。 相似文献
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The relationship between the relative humidity and the moisture content of a material (for relative humidity levels close to 100%) can be studied using the pressure plate technique. However, this method is designed for desorption experiments and modifications are necessary in order to perform absorption experiments. This article presents a method to condition samples to a uniform moisture content by absorption with the pressure plate technique. The specimens were suspended in magnetic clamps until the ceramic plate had equilibrated with the applied pressure and modifications were made so that water could circulate through the pressure plate cell. 相似文献
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《Drying Technology》2013,31(10):1919-1939
ABSTRACT The aim of this paper is to show the interest of the covariance analysis applied to measurement error in the particular case of the identification of a drying characteristic curve from experimental drying data. The modelisation of drying by use of the Drying Characteristic Curve (DCC) method is first presented with usual specifications (power function, critical moisture content …). The experimental procedure used to obtain drying curves and the data processing are detailled and analysed. Measurements errors are identified at the first step of the procedure and their effects on the estimation error of the exponent α of the power function are estimated. Three different methods for estimating α are presented under their matrix form: the least square method and two methods based on the «Gauss–Markov» or «Maximum likelihood» theorem, firstly under a simplified form suited if the estimation errors are uncorrelated and secondly under a complete form suited even if the estimation errors are correlated. These three methods are applied to experimental results obtained with ginger roots drying. The value of the exponent α of the power function and then the distances between the three corresponding theoretical drying curves (representing product water content vs. time) and the experimental points are studied. It is shown that in this particular application, the complete Gauss–Markov method leads to the better fitting and that the simplified Gauss–Markov method, since it is a priori non appliable in this case where errors are correlated, gives quite better results than the oridnary least squares method. The covariance matrices of the estimation errors of reduced water content, reduced drying rate and exponent α are also presented in order to show the correlations existing between the measurement errors of each variable during a drying cycle. 相似文献
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《Drying Technology》2013,31(7):1479-1490
A simple method for determining concentration (water or solvent content) dependent diffusivity in liquid foods and polymer solutions from the regular regime drying curve was developed on the basis of the power-law diffusion model. The method was first tested to the drying data generated from numerical solutions of the diffusion equation with various types of concentration dependent diffusivities. The present method was found to be very simple yet accurate compared with the previous methods. Then, the drying rates of various sugar solutions experimentally obtained were analyzed on the basis of the present method to determine the moisture content dependent diffusivities. 相似文献