Salicylate Detection by Complexation with Iron(III) and Optical Absorbance Spectroscopy. An Undergraduate Quantitative Analysis Experiment

2008 ◽  
Vol 85 (12) ◽  
pp. 1658 ◽  
Author(s):  
Kendra R. Reid ◽  
Mark E. Meyerhoff ◽  
Jeremy T. Mitchell-Koch
Keyword(s):  
Quantitative Analysis ◽  
Optical Absorbance ◽  
Absorbance Spectroscopy ◽  
Analysis Experiment ◽  
Optical Absorbance Spectroscopy

Broadband optical absorbance spectroscopy using a whispering gallery mode microsphere resonator

2008 ◽  
Vol 79 (3) ◽  
pp. 033106 ◽  
Author(s):  
Sarah L. Westcott ◽  
Jiangquan Zhang ◽  
Robert K. Shelton ◽  
Nellie M. K. Bruce ◽  
Sachin Gupta ◽  
...  
Keyword(s):  
Whispering Gallery Mode ◽  
Optical Absorbance ◽  
Whispering Gallery ◽  
Absorbance Spectroscopy ◽  
Optical Absorbance Spectroscopy

High-Throughput Synthesis, Deposition and Characterization Techniques

2020 ◽  
pp. 28-62
Keyword(s):  
Thin Films ◽  
Oxidative Polymerization ◽  
Environmental Stability ◽  
Synthesis Process ◽  
X Ray Diffraction ◽  
Nano Technology ◽  
Optical Absorbance ◽  
Crystalline Nature ◽  
New Applications ◽  
Optical Absorbance Spectroscopy

Polyaniline (PANI) has an exclusive representation probably owing to the fact that it has new applications in several fields of nano-technology. It is known for its straightforward synthesis process, high environmental stability and it can be easily doped by different acids. This chapter deals with the synthesis of PANI by several methods in which oxidative polymerization is the simplest and the most highly studied process. The synthesized PANI thin films can be deposited on different substances by a number of chemical and physical-based methods. These PANI thin films have been characterized by different techniques. FTIR and Raman spectroscopy used for structural analysis of synthesized PANI thin films while the crystalline nature determined by X-ray diffraction (XRD). Similarly, SEM, TEM, and AFM have been used for surface analysis of PANI thin films. The thermal and optical characteristics of PANI thin films studied by TGA and optical absorbance spectroscopy, respectively. The cyclic voltammetry (CV) curve gives information about the electrochemical reaction rate and the redox potential of PANI thin films.

Separation of an APC mixture. A quantitative analysis experiment

1976 ◽  
Vol 53 (11) ◽  
pp. 731
Author(s):  
Paul Haddad ◽  
Malcolm Rasmussen
Keyword(s):  
Quantitative Analysis ◽  
Analysis Experiment

Modeling with Multiple Correlated Spectral Data Based on Approximating the Nonlinear Spectrum Induced by Scattering

2021 ◽  
pp. 000370282110365
Author(s):  
Yongshun Luo ◽  
Gang Li ◽  
Guosong Shan ◽  
Ling Lin
Keyword(s):  
Quantitative Analysis ◽  
Spectral Data ◽  
Prediction Accuracy ◽  
Data Set ◽  
Analysis Experiment ◽  
Scattering Material ◽  
Modeling Data ◽  
Highly Correlated ◽  
Equal Space ◽  
Strong Scattering

In the spectral quantitative analysis of scattering solution, the improvement of accuracy is seriously restricted by the nonlinearity caused by scattering, and even the measurement will fail due to the influence of scattering. The important reasons are that the modeling variables are greatly affected by nonlinearity, and the information contained in the modeling data cannot represent the scattering characteristics. In this paper, a method is proposed, in which the spectral data of several optical pathlengths with equal space are combined as the modeling data set of a sample. These highly correlated spectral data contain relatively nonlinear information. The addition of the spectral data provides more options for the selection of principal components in modeling with PLS method. By giving lower weight to the corresponding wavelength which is greatly affected by scattering, the model is insensitive to scattering and the prediction accuracy is improved. Through the spectral quantitative analysis experiment on strong scattering material, the prediction accuracy of the model was 61.7% higher than that of the traditional method and was 58.5% higher than that of the variable sorting for normalization method. The feasibility of the method is verified.

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