Densities and Refractive Indices of Alcohol-Water Solutions of n-Propyl, Isopropyl, and Methyl Alcohols.

Chu, Kwang-Yu; Thompson, A. R.

doi:10.1021/je60014a011

Cited by 98 publications

(29 citation statements)

References 2 publications

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“…Table S1. [25][26][27][28][29][30][31][32][33] The organic species considered included alcohols, nitriles, carboxylic acids, diols, sulphoxides, amides, ethers and polyols. As the molar refraction mixing rule requires knowledge of mixture density in order to predict RI, data sets were selected based on the availability of paired measurements of RI and density for each different mass fraction of the water/organic mixture.…”

Section: Refractive Index Mixing Rulesmentioning

confidence: 99%

Comparison of Methods for Predicting the Compositional Dependence of the Density and Refractive Index of Organic–Aqueous Aerosols

et al. 2016

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms AbstractRepresenting the physicochemical properties of aerosol particles of complex composition is of crucial importance for understanding and predicting aerosol thermodynamic, kinetic and optical properties and processes, and for interpreting and comparing analysis methods. Here, we consider the representations of the density and refractive index of aqueous-organic aerosol with a particular focus on the dependence of these properties on relative humidity and water content, including an examination of the properties of solution aerosol droplets existing at supersaturated solute concentrations. Using bulk phase measurements of density and refractive index for typical organic aerosol components, we provide robust approaches for the estimation of these properties for aerosol at any intermediate composition between pure water and pure solute.Approximately 70 compounds are considered, including mono-, di-and tri-carboxylic acids, alcohols, diols, nitriles, sulphoxides, amides, ethers, sugars, amino acids, aminium sulphates, and polyols. We conclude that the molar refraction mixing rule should be used to predict the refractive index of the solution using a density treatment that assumes ideal mixing or, preferably, a polynomial dependence on the square root of the mass fraction of solute, depending on the solubility limit of the organic component. Although the uncertainties in 2 the density and refractive index predictions depend on the range of sub-saturated compositional data available for each compound, typical errors for estimating the solution density and refractive index are less than ±0.1 % and ±0.05 %, respectively. Owing to the direct connection between molar refraction and the molecular polarizability, along with the availability of group contribution models for predicting molecular polarizability for organic species, our rigorous testing of the molar refraction mixing rule provides a route to predicting refractive indices for aqueous solutions containing organic molecules of arbitrary structure.

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Section: Refractive Index Mixing Rulesmentioning

confidence: 99%

Comparison of Methods for Predicting the Compositional Dependence of the Density and Refractive Index of Organic–Aqueous Aerosols

et al. 2016

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“…3 shows this ratio at different size distributions for the polystyrene sphere solution used for this study. At a wavelength of 532 nm, the refractive index of the water and isopropanol mixture was taken to be 1.35 (by linearly interpolating the data provided in Lide, 1995) and confirmed by Chu & Thompson, 1962) and the refractive index of polystyrene spheres was taken to be 1.588-i2.5×10 −4 (Ma et al, 2003). The size distribution was assumed to be a Gaussian distribution as follows:…”

Section: Size Distribution Measurementmentioning

confidence: 99%

Application of simulated annealing for simultaneous retrieval of particle size distribution and refractive index

Kranendonk

Cai

et al. 2009

Journal of Aerosol Science

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“…The experimental data were approximated by a straight line ( Figure 5). From the slope of the line, according to the known refractive indices of isopropanol solutions, [25] we can estimate the sensitivity of the sensor to the refractive index unit (RIU), which amounted to 894 nm RIU À1 .…”

Section: Resultsmentioning

confidence: 99%

Ultrastable Combined Planar‐Fiber Plasmon Sensor

Tomyshev

Tazhetdinova

Manuilovich

et al. 2018

Physica Status Solidi (a)

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A new design for a hybrid fiber‐planar refractive index sensor based on the surface plasmon resonance effect is presented. The key element of the design is a thin layer of gold covering a tilted fiber Bragg grating. In the study, a specially developed microfluidic chip is used to perform measurements directly in the flow of the investigated liquid. Rigidly mounting the sensor to the base of the fluid chip is proposed. The presented experimental data demonstrate the high stability of the sensor readings and the low noise level during measurements in a liquid flow. The proposed construction is a promising decision for application in compact immunoassay systems based on microfluidic technologies.

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Densities and Refractive Indices of Alcohol-Water Solutions of n-Propyl, Isopropyl, and Methyl Alcohols.

Cited by 98 publications

References 2 publications

Comparison of Methods for Predicting the Compositional Dependence of the Density and Refractive Index of Organic–Aqueous Aerosols

Comparison of Methods for Predicting the Compositional Dependence of the Density and Refractive Index of Organic–Aqueous Aerosols

Application of simulated annealing for simultaneous retrieval of particle size distribution and refractive index

Ultrastable Combined Planar‐Fiber Plasmon Sensor

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