Discriminating Coalho cheese by origin through near and middle infrared spectroscopy and analytical measures

Aluminum oxide is one of the most commonly used materials in the industry. It is used in the field of catalysis, refractories, and optics. Despite the fact that there are many techniques available, there is still a great challenge in obtaining a material with desired and designed properties. Nevertheless, there is a great flexibility in making customized alumina materials with desired physicochemical properties synthesized by sol–gel methods. This work consists in characterizing the physicochemical properties of sol–gel synthesized aluminum oxide using different sol–gel preparation routes. Three different sols were obtained by using organic precursors and underwent thermal treatment. The structure (Middle Infrared Spectroscopy, Diffused Reflectance Infrared Spectroscopy, X-ray Diffraction, Magic Angle Spinning Nuclear Magnetic Resonance) and microstructure (Scanning Electron Microscopy with Electron Dispersive Spectroscopy) tests of the materials were carried out. The specific surface area was determined by using the Brunauer–Emmett–Teller (BET) method. Thermal analysis was performed for all the powders, in order to analyze the specific temperature of materials transformation.

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Essential oil counterfeit identification through middle infrared spectroscopy

Microchemical Journal ◽

10.1016/j.microc.2018.03.008 ◽

2018 ◽

Vol 139 ◽

pp. 347-356 ◽

Cited By ~ 4

Author(s):

K. Bounaas ◽

N. Bouzidi ◽

Y. Daghbouche ◽

S. Garrigues ◽

M. de la Guardia ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Essential Oil ◽

Middle Infrared

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The Chemical Identification of Grain Mantles by Infrared Spectroscopy

Symposium - International Astronomical Union ◽

10.1017/s0074180900072892 ◽

1980 ◽

Vol 87 ◽

pp. 373-380 ◽

Cited By ~ 1

Author(s):

L. J. Allamandola ◽

J. M. Greenberg ◽

C. A. Norman ◽

W. Hagen

Keyword(s):

Infrared Spectroscopy ◽

Spectroscopic Measurement ◽

Chemical Identification ◽

Interstellar Chemistry ◽

Modes Of Vibration ◽

Molecular Abundances ◽

Favorable Conditions ◽

Middle Infrared ◽

Grain Properties ◽

Gas Ratio

The composition and physical properties of interstellar grain mantles continues to be an important problem in astrophysics. Part of this importance comes from the fact that grain mantle composition, photochemistry and photophysics are involved in interstellar chemistry (Greenberg et al. 1972, Greenberg, 1979, Greenberg et al. this volume). Because most molecules have a number of fundamental modes of vibration which possess activity between 2.5 and 25 μm (the middle infrared), spectroscopic measurement in this region can provide a direct probe of the molecules making up grain mantles. In addition to molecular composition, under favorable conditions, such measurements can yield molecular abundances, the solid/gas ratio for specific molecules and give an indication of such physical grain properties as temperature and thermal history.

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Developing a rapid and sensitive method for determination of trans-fatty acids in edible oils using middle-infrared spectroscopy

Food Chemistry ◽

10.1016/j.foodchem.2014.02.084 ◽

2014 ◽

Vol 158 ◽

pp. 1-7 ◽

Cited By ~ 26

Author(s):

Paulo Augusto da Costa Filho

Keyword(s):

Fatty Acids ◽

Infrared Spectroscopy ◽

Trans Fatty Acids ◽

Edible Oils ◽

Middle Infrared ◽

Sensitive Method

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Pitfalls in the use of middle-infrared spectroscopy: representativeness and ranking criteria for the estimation of soil properties

Geoderma ◽

10.1016/j.geoderma.2016.01.010 ◽

2016 ◽

Vol 268 ◽

pp. 165-175 ◽

Cited By ~ 12

Author(s):

Bernard Ludwig ◽

Deborah Linsler ◽

Heinrich Höper ◽

Harald Schmidt ◽

Hans-Peter Piepho ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Soil Properties ◽

Ranking Criteria ◽

Middle Infrared

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Low temperature measurements by infrared spectroscopy in CoFe2O4 ceramic

Open Physics ◽

10.2478/s11534-012-0101-4 ◽

2012 ◽

Vol 10 (5) ◽

Cited By ~ 4

Author(s):

Renata Bujakiewicz-Korońska ◽

Łukasz Hetmańczyk ◽

Barbara Garbarz-Glos ◽

Andrzej Budziak ◽

Anna Kalvane ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Phase Transitions ◽

Current Knowledge ◽

Far Infrared ◽

X Ray ◽

Temperature Range ◽

Infrared Measurements ◽

Cubic Structure ◽

Middle Infrared

AbstractThis paper presents results of new far-infrared and middle-infrared measurements (wavenumber range of 4000–100 cm−1) of the CoFe2O4 ceramic in the temperature range from 300 K to 8 K. The band positions and their shapes remain constant across the wide temperature range. The quality of the sample was investigated by X-ray, EDS and EPMA studies. The CoFe2O4 retains the cubic structure (Fd - 3m) across the temperature range from 85 K to 360 K without any traces of distortion. Based on current knowledge the polycrystalline CoFe2O4 does not exhibit any phase transitions across the temperature range from 8 K to 300 K.

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Determination of Major Compounds of Alcoholic Fermentation by Middle-Infrared Spectroscopy: Study of Temperature Effects and Calibration Methods

Applied Spectroscopy ◽

10.1366/0003702963904872 ◽

1996 ◽

Vol 50 (10) ◽

pp. 1325-1330 ◽

Cited By ~ 29

Author(s):

Philippe Fayolle ◽

Daniel Picque ◽

Bruno Perret ◽

Eric Latrille ◽

Georges Corrieu

Keyword(s):

Infrared Spectroscopy ◽

Temperature Effects ◽

Alcoholic Fermentation ◽

Multivariate Model ◽

Pls Regression ◽

Spectroscopy Study ◽

Temperature Variations ◽

Calibration Methods ◽

Middle Infrared

The potential of Fourier transform middle-infrared spectroscopy has been demonstrated for the quantitative analysis of substrates (glucose and fructose) and metabolites (glycerol and ethanol) involved in alcoholic fermentation. Temperature variations between samples and water background reference caused changes in absorbance, and therefore the prediction of concentrations with partial least-squares (PLS) regressions was affected. The same temperatures for the calibration, validation, and prediction sets gave the smallest standard error of prediction (SEP): SEPglucose = 3.9 g L−1; SEPfructose = 4.3 g L−1; SEPglycerol = 0.5 g L−1; SEPethanol = 1.3 g L−1. In order to take different working temperatures (18, 25, and 35 °C) into account, an artificial neural network was used to create a nonlinear multivariate model. Compared to PLS regression, this method provided better results, especially for glycerol and ethanol, where SEP decreased by 0.3 g L−1 and 0.4 g L−1, respectively.

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Comparison of Calibrations Modeling for Determination of Protein of Mushroom Base on Middle Infrared Spectroscopy

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.460-461.357 ◽

2011 ◽

Vol 460-461 ◽

pp. 357-362 ◽

Cited By ~ 1

Author(s):

Peng Cheng Nie ◽

Yan Yang ◽

Yong He

Keyword(s):

Infrared Spectroscopy ◽

Root Mean Square Error ◽

Latent Variables ◽

Nonlinear Modeling ◽

Mean Square ◽

Linear Modeling ◽

Fast Determination ◽

Validation Set ◽

Middle Infrared

Middle infrared spectroscopy combined with chemometrics was investigated for the fast determination of protein of mushroom. 140 samples (35 for each variety) were selected randomly for the calibration set, whereas, 40 samples for the validation set. After some spectrum preprocessing, linear modeling method (PLS) and nonlinear modeling LS-SVM were constructed. Different latent variables were used as inputs of LS-SVM. The optimal models were obtained with 8 LVs based on LS-SVM. The correlation coefficient,,root mean square error of prediction for the best prediction by LV-LS-SVM were 0.9275, 0.25961. The result indicated that middle infrared spectroscopy combined with LV-LS-SVM could be applied as a high precision and fast way for determination protein of mushroom.

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