岭回归原子吸收光谱法同时测定钴和铟研究
原子吸收光谱的共振线并不是严格几何意义上的线，而是占据着有限的相当窄的频率或波长范围，即有一定的宽度。原子吸收光谱的轮廓以原子吸收谱线的中心波长和半宽度来表征。每个元素都有特定的光谱吸收峰值，一般很少有两种元素吸收光谱线重叠的情况。当两种元素的原子吸收谱线非常接近时，就会互相叠加，往往引起最终测量结果不同程度的偏高。
本次实验特意选择了两种已知原子光谱吸收线非常接近的的元素：钴（原子光谱吸收峰值为252。136nm）和铟（原子光谱吸收峰值为252。137nm），吸收波长靠得很近，互相有干扰，用岭回归处理测量数据，钴的回收率在95%—105%之间，铟的回收率在95%—105%之间，达到令人满意的成果。
同时本次实验还设计了一组浓度相同酸碱度不同的溶液测定酸碱度对原子吸收光谱法的影响，最终得出两者并无太大关联的结果。
毕业论文关键词：岭回归；原子光谱吸收法；原子光谱吸收仪；硝酸钴；硝酸铟
Abstract Ridge regression is a biased estimate regression method which analysis collinearity data, it is essentially a modified least squares estimation method, by giving up the unbiasedness of the least squares, with the cost of losing information sections and accuracy to get a more practical and reliable regression coefficients。 It’s a better way to fit pathological data the the least squares。
The resonance line in AAS are not strictly geometric, it’s more like a narrow range of frequency and wavelength, which means it has width。 The central wavelength and half width are the characterization of the contour of spectrum。 The specific absorption spectrum varies from different elements, it’s rare that two elements’ absorption spectrum can overlap, when they do, the absorption will overlay and make the results high。 This study is specially designed to choose two elements whose absorption spectrum are extremely close: Cobalt and Indium, the peak of their absorption spectrum is 252。136nm and 252。137nm。 the purpose of this study is to research the influence between two elements in AAS with effects from the external conditions, and by using ridge regression to correct the results, which turned out to be between 95% to 105%。
On the other hand, for researching the influence of pH in AAS, this study designed several aqueous that have same concentration of measured elements but different pH。 Which turned out to be not quite relevant between pH and AAS。
Key words: ridge regression; atomic absorption spectrometry; AAS instrument; Cobalt; Indium。
目录
第一章 绪论 1
1。1钴的性质与用途 1
1。2钴的分析方法 2
1。3铟的性质与用途 2
1。4铟的分析方法 3
1。5研究背景 3
1。6研究意义 4
第二章 岭回归 5
2。1最小二乘法 5
2。2 普通最小二乘估计带来的问题 6
2。3岭回归产生的背景 7
2。4 岭回归的定义 7
2。5岭回归的性质 8
2。6岭回归的优越性 9
第三章 原子吸收光谱法 11
3。1原子吸收光谱法的起源 11
3。1。1原子吸收现象的发现和解释 11