Transformations to reduce the effect of particle size in mid-infrared spectra of biomass

The Analyst ◽  
2018 ◽  
Vol 143 (21) ◽  
pp. 5191-5201
Author(s):  
Borja Cantero-Tubilla ◽  
Larry P. Walker
Keyword(s):  
Particle Size ◽  
Fourier Transform ◽  
Chemical Composition ◽  
Ftir Spectroscopy ◽  
Infrared Spectra ◽  
Mid Infrared ◽  
Powerful Technique ◽  
Effect Of Particle Size ◽  
Chemical Pretreatments

Fourier Transform InfraRed (FTIR) spectroscopy is a very powerful technique for the characterization of the chemical composition of biomass and its modifications occurring during thermochemical and chemical pretreatments.

scholarly journals Prediction of fat globule particle size in homogenized milk using Fourier transform mid-infrared spectra

2016 ◽  
Vol 99 (11) ◽  
pp. 8549-8560 ◽  
Author(s):  
Larissa Di Marzo ◽  
Patrick Cree ◽  
David M. Barbano
Keyword(s):  
Particle Size ◽  
Fourier Transform ◽  
Infrared Spectra ◽  
Mid Infrared ◽  
Fat Globule

Mixed Alkali Halide Dilution Matrices for Diffuse Reflectance Infrared Spectrometry: Effect of Particle Size

1989 ◽  
Vol 43 (8) ◽  
pp. 1293-1294 ◽  
Author(s):  
Mollie L. E. Tevrucht ◽  
Peter R. Griffiths
Keyword(s):  
Particle Size ◽  
Fourier Transform ◽  
Infrared Spectra ◽  
Alkali Halide ◽  
Diffuse Reflectance ◽  
Fourier Transform Infrared ◽  
Infrared Spectrometry ◽  
Mixed Alkali ◽  
Effect Of Particle Size ◽  
Diffuse Reflectance Infrared

Diffuse reflectance Fourier transform infrared spectra of coal diluted in two different alkali halide matrices were compared. Pure KBr and mixed CsI/KBr were tested for use as dilution matrices. When the variable of particle size was controlled, KBr was found to be the better diluent.

scholarly journals Effect of particle size on the chemical composition of Ti–Ni-base spark erosion powder obtained in liquid argon

2011 ◽  
Vol 4 (3/4) ◽  
pp. 188-199 ◽  
Author(s):  
Gennady MONASTYRSKY ◽  
◽  
Patrick OCHIN ◽  
Guillaume Y. WANG ◽  
Victor KOLOMYTSEV ◽  
...  
Keyword(s):  
Particle Size ◽  
Chemical Composition ◽  
Liquid Argon ◽  
Spark Erosion ◽  
Effect Of Particle Size

scholarly journals Fourier Transform Mid-Infrared (FTIR) Spectroscopy to Identify Tannin Compounds in The Panicle of Sorghum Mutant Lines

2019 ◽  
Vol 546 ◽  
pp. 042045
Author(s):  
Teguh Wahyono ◽  
Dewi Apri Astuti ◽  
I Komang Gede Wiryawan ◽  
Irawan Sugoro ◽  
Anuraga Jayanegara
Keyword(s):  
Fourier Transform ◽  
Ftir Spectroscopy ◽  
Mid Infrared ◽  
Mutant Lines

scholarly journals Rapid Quantitative Analysis of Forest Biomass Using Fourier Transform Infrared Spectroscopy and Partial Least Squares Regression

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gifty E. Acquah ◽  
Brian K. Via ◽  
Oladiran O. Fasina ◽  
Lori G. Eckhardt
Keyword(s):  
Fourier Transform ◽  
Chemical Composition ◽  
Ftir Spectroscopy ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Fourier Transform Infrared ◽  
Least Squares Regression ◽  
Forest Logging ◽  
Logging Residue

Fourier transform infrared reflectance (FTIR) spectroscopy has been used to predict properties of forest logging residue, a very heterogeneous feedstock material. Properties studied included the chemical composition, thermal reactivity, and energy content. The ability to rapidly determine these properties is vital in the optimization of conversion technologies for the successful commercialization of biobased products. Partial least squares regression of first derivative treated FTIR spectra had good correlations with the conventionally measured properties. For the chemical composition, constructed models generally did a better job of predicting the extractives and lignin content than the carbohydrates. In predicting the thermochemical properties, models for volatile matter and fixed carbon performed very well (i.e.,R2> 0.80, RPD > 2.0). The effect of reducing the wavenumber range to the fingerprint region for PLS modeling and the relationship between the chemical composition and higher heating value of logging residue were also explored. This study is new and different in that it is the first to use FTIR spectroscopy to quantitatively analyze forest logging residue, an abundant resource that can be used as a feedstock in the emerging low carbon economy. Furthermore, it provides a complete and systematic characterization of this heterogeneous raw material.

Biochemical alterations ofCandida albicansduring the phenotypic transition from yeast to hyphae captured by Fourier transform mid-infrared-attenuated reflectance spectroscopy

The Analyst ◽  
2018 ◽  
Vol 143 (22) ◽  
pp. 5404-5416 ◽  
Author(s):  
Qin-Yin Shi ◽  
Cristiane Rodrigues S. Câmara ◽  
Vicki Schlegel
Keyword(s):  
Fourier Transform ◽  
Candida Albicans ◽  
Ftir Spectroscopy ◽  
Reflectance Spectroscopy ◽  
Spectral Analyses ◽  
Mid Infrared ◽  
Biochemical Alterations ◽  
Biochemical Modification ◽  
Phenotypic Transition

The first study that applies FTIR spectroscopy to monitor the biochemical modification ofCandida albicansduring the transition from a benign yeast to virulent hyphae using multiple spectral analyses.

Fourier Transform Infrared Reflectance Microspectroscopy Study of Bacillus Subtilis Engineered without Dipicolinic Acid: The Contribution of Calcium Dipicolinate to the Mid-Infrared Absorbance of Bacillus Subtilis Endospores

2005 ◽  
Vol 59 (7) ◽  
pp. 893-896 ◽  
Author(s):  
D. L. Perkins ◽  
C. R. Lovell ◽  
B. V. Bronk ◽  
B. Setlow ◽  
P. Setlow ◽  
...  
Keyword(s):  
Bacillus Subtilis ◽  
Fourier Transform ◽  
Infrared Spectra ◽  
Dipicolinic Acid ◽  
Fourier Transform Infrared ◽  
Difference Spectrum ◽  
Genetically Engineered ◽  
Mid Infrared ◽  
Spectral Contribution ◽  
Ir Reflectance

Mid-infrared spectra of spores of two strains of Bacillus subtilis, PS832 (wild-type) and FB122 ( sleB spoVF), that are isogenic except for the two mutations in FB122 were obtained by Fourier transform infrared (FT-IR) reflectance microspectroscopy. The mutations in FB122 cause the spores of this strain to be devoid of dipicolinic acid (pyridine-2,6-dicarboxylic acid; DPA), a biomarker characteristic of bacterial spores. Analysis of these two strains by difference spectroscopy revealed a spectrum similar to that of calcium dipicolinate (CaDPA), a chelate salt of DPA. This difference spectrum was compared to mid-infrared spectra of both DPA and CaDPA, and was attributed to CaDPA only. This is the first report known to the authors of a genetically engineered organism being used to identify the spectral contribution of a particular cellular component.

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