Evaluation of Water Content and Average Droplet Size in Water-in-Crude Oil Emulsions by Means of Near-Infrared Spectroscopy†

2008 ◽  
Vol 22 (5) ◽  
pp. 3450-3458 ◽  
Author(s):  
Augusto M. Araujo ◽  
Leila M. Santos ◽  
Montserrat Fortuny ◽  
Rosana L. F. V. Melo ◽  
Raquel C. C. Coutinho ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Crude Oil ◽  
Water Content ◽  
Droplet Size ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Oil Emulsions

scholarly journals Use of near infrared for evaluation of droplet size distribution and water content in water-in-crude oil emulsions in pressurized pipeline

Fuel ◽  
2015 ◽  
Vol 147 ◽  
pp. 43-52 ◽  
Author(s):  
Gustavo R. Borges ◽  
Gabriela B. Farias ◽  
Talita M. Braz ◽  
Leila M. Santos ◽  
Monique J. Amaral ◽  
...  
Keyword(s):  
Crude Oil ◽  
Water Content ◽  
Size Distribution ◽  
Droplet Size ◽  
Near Infrared ◽  
Droplet Size Distribution ◽  
Oil Emulsions

Determination of API Gravity and Total and Basic Nitrogen Content by Mid- and Near-Infrared Spectroscopy in Crude Oil with Multivariate Regression and Variable Selection Tools

2019 ◽  
Vol 52 (18) ◽  
pp. 2914-2930 ◽  
Author(s):  
Karla Pereira Rainha ◽  
Júlia Tristão do Carmo Rocha ◽  
Rayza Rosa Tavares Rodrigues ◽  
Betina Pires de Oliveira Lovatti ◽  
Eustáquio Vinicius Ribeiro de Castro ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Variable Selection ◽  
Crude Oil ◽  
Nitrogen Content ◽  
Near Infrared Spectroscopy ◽  
Multivariate Regression ◽  
Near Infrared ◽  
Basic Nitrogen ◽  
Selection Tools

Towards a robust water content determination of freeze-dried samples by near-infrared spectroscopy

2010 ◽  
Vol 676 (1-2) ◽  
pp. 34-40 ◽  
Author(s):  
Holger Grohganz ◽  
Delphine Gildemyn ◽  
Erik Skibsted ◽  
James M. Flink ◽  
Jukka Rantanen
Keyword(s):  
Infrared Spectroscopy ◽  
Water Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Content Determination ◽  
Freeze Dried

scholarly journals Prediction of water content and soluble solids content of ‘manalagi’ apples using near infrared spectroscopy

2021 ◽  
Vol 922 (1) ◽  
pp. 012062
Author(s):  
K Kusumiyati ◽  
Y Hadiwijaya ◽  
D Suhandy ◽  
A A Munawar
Keyword(s):  
Infrared Spectroscopy ◽  
Water Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes ◽  
Soluble Solids ◽  
Coefficient Of Determination ◽  
Soluble Solids Content ◽  
Orthogonal Signal Correction ◽  
Solids Content

Abstract The purpose of the research was to predict quality attributes of ‘manalagi’ apples using near infrared spectroscopy (NIRS). The desired quality attributes were water content and soluble solids content. Spectra data collection was performed at wavelength of 702 to 1065 nm using a Nirvana AG410 spectrometer. The original spectra were enhanced using orthogonal signal correction (OSC). The regression approaches used in the study were partial least squares regression (PLSR) and principal component regression (PCR). The results showed that water content prediction acquired coefficient of determination in calibration set (R2cal) of 0.81, coefficient of determination in prediction set (R2pred) of 0.61, root mean squares error of calibration set (RMSEC) of 0.009, root mean squares of prediction set (RMSEP) of 0.020, and ratio performance to deviation (RPD) of 1.62, while soluble solids content prediction displayed R2cal, R2pred, RMSEC, RMSEP, and RPD of 0.79, 0.85, 0.474, 0.420, and 2.69, respectively. These findings indicated that near infrared spectroscopy could be used as an alternative technique to predict water content and soluble solids content of ‘manalagi’ apples.

scholarly journals Elaboration of near infrared spectroscopy model for determination of water content in freeze-dried immunological veterinary medicinal products

2016 ◽  
Author(s):  
Krzysztof Bulenger ◽  
Dorota Marta Krasucka ◽  
Bogumił Biernacki ◽  
Jakub Szumiło ◽  
Beata Cuvelier
Keyword(s):  
Infrared Spectroscopy ◽  
Water Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Residual Water ◽  
Medicinal Products ◽  
Karl Fischer Titration ◽  
Karl Fischer ◽  
Veterinary Medicinal Products

Residual water is a critical parameter in assessing the quality of immunological veterinary medicinal products (IVMPs). In majority of the laboratories the Karl Fischer titration (KFT) is used for the determination of water content in IVMPs. However, the transfer of IVMP into titration cell without affecting the baseline drift and repeatability seems to be the main problem when using this method. In turn, Near Infrared Spectroscopy (NIRS) allows measurement of closed vials, therefore eliminating the impact of atmospheric conditions on the sample. The aim of the study was to create a calibration model based on the reference method (Karl Fischer titration) and its optimization. Five different IVMPs designated for two animal species (dogs and rabbits) were used. The model was constructed on the basis of 49 samples tested, each in triplicate (n=147). The spectra were divided in two sets: calibration and validation. Proper selection of samples and their processing allowed to obtain a model of high quality (Q-value>0.6).

Near-infrared spectroscopy for soil water determination in small soil volumes

2004 ◽  
Vol 84 (3) ◽  
pp. 333-338 ◽  
Author(s):  
P. R. Bullock ◽  
X. Li ◽  
L. Leonardi
Keyword(s):  
Infrared Spectroscopy ◽  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Water Levels ◽  
Least Squares Regression ◽  
Volumetric Soil Water Content ◽  
Volumetric Soil Water

Critical soil water levels for soil microscale processes are difficult to determine because of variability in large soil volumes and lack of techniques for logging soil water contents in small soil volumes. This study tested nearinfrared (NIR) spectroscopy for soil water content determination. Five soil horizons with a range in soil texture, soil organic carbon, carbonates, pH and horizon depth, were tested at air-dry, field capacity and 0.1 MPa tension water content. Volumetric soil water content, determined using the standard method of oven-drying and soil bulk density, was compared to NIR absorbance in various combinations and wavelengths. The NIR spectra obtained with the probe in direct contact with the soil gave better results than when the probe was separated from the soil with a glass slide. The most reliable validation results were obtained using a multivariate partial least squares regression of the full spectrum with an r2 of 0.95 and RMSE of prediction of 6.4%. Smoothing and derivatives of the spectra did not improve the validation results. The relationships for absorbance at single wavelength segments, ratios, differences and area under the curve around the 1940 nm peak were good (r2 values near 0.85 ) but poorer than the results using the full spectra. The high correlation coefficients obtained with the wide variety of soils utilized in this study suggest that NIR absorbance is a practical method for determining volumetric soil water content for small soil volumes. Key words: Near-infrared spectroscopy, soil water, Near-infrared absorbance

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