Mid-infrared spectroscopy beyond the diffraction limit via direct measurement of the photothermal effect

Nanoscale ◽  
2015 ◽  
Vol 7 (42) ◽  
pp. 17637-17641 ◽  
Author(s):  
A. M. Katzenmeyer ◽  
G. Holland ◽  
J. Chae ◽  
A. Band ◽  
K. Kjoller ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Direct Measurement ◽  
Thermal Infrared ◽  
Diffraction Limit ◽  
Photothermal Effect ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Novel Method

Scanning thermal infrared microscopy (STIRM) is a novel method that provides the chemical composition and thermal conductivity information with nanoscale resolution.

scholarly journals Fragment ion-functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy

2021 ◽  
Author(s):  
Amir Yazdani ◽  
Nikunj Dudani ◽  
Satoshi Takahama ◽  
Amelie Bertrand ◽  
André S. H. Prévôt ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Temporal Resolution ◽  
Functional Group ◽  
High Temporal Resolution ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Aerosol Mass ◽  
Aerosol Mass Spectrometry

Abstract. Aerosol mass spectrometry (AMS) and mid-infrared spectroscopy (MIR) are two analytical methods for characterizing the chemical composition of OM. While AMS provides high-temporal-resolution bulk measurements, the extensive fragmentation during the electron impact (EI) ionization makes the characterization of OM components limited. The analysis of aerosols collected on PTFE filters using MIR, on the other hand, provides functional group (FG) information with reduced sample alteration but results in a relatively low temporal resolution. In this work, we compared and combined MIR and AMS measurements for several environmental chamber experiments to achieve a better understanding of the AMS spectra and the OM chemical evolution by aging. Fresh emissions of wood and coal burning were injected into an environmental simulation chamber and aged with hydroxyl and nitrate radicals. A high-resolution time-of-flight (HR-TOF) AMS measured the bulk chemical composition of fine PM. Fine aerosols were also sampled on PTFE filters before and after aging for the offline MIR analysis. After comparing AMS and MIR bulk measurements, we used multivariate statistics to identify the influential functional groups contributing to AMS OM mass for different aerosol sources and aging processes. We also identified the key mass fragments resulting from each functional group for the complex OM generated from biomass and fossil fuel combustion. Finally, we developed a statistical model that enables estimation of the high-time-resolution functional group composition of OM using collocated AMS and MIR measurements. Using this approach, AMS spectra can be used to interpolate the functional group measurements by MIR, allowing us to better understand the evolution of OM during the aging process.

scholarly journals Application of MIR Spectroscopy to the Evaluation of Chemical Composition and Quality Parameters of Foal Meat: A Preliminary Study

Foods ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 583
Author(s):  
Marta Ruiz ◽  
María José Beriain ◽  
Miguel Beruete ◽  
Kizkitza Insausti ◽  
José Manuel Lorenzo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Chemical Composition ◽  
Total Lipid Content ◽  
Docosapentaenoic Acid ◽  
Quality Parameters ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Quality Differentiation ◽  
Finishing Diets ◽  
Mir Spectroscopy

The aim of this work was to study the potential of mid-infrared spectroscopy to evaluate the chemical composition and quality parameters of foal meat according to differences based on slaughter ages and finishing diets. In addition, the wavelength ranges which contribute to this meat quality differentiation were also determined. Important characteristics as moisture and total lipid content were well predicted using Mid-Infrared Spectroscopy (MIR)with Rv2 values of 82% and 66%, respectively. Regarding fatty acids, the best models were obtained for arachidonic, vaccenic, docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with Rv2 values over 65%. Quality parameters, as instrumental colour and texture and sensory attributes did not reach high prediction coefficients (R2). With the spectra data of the region 2198–1118 cm−1, samples were accurately classified according to slaughter age (78%) and finishing diet (72%). This preliminary research shows the potential of MIR spectroscopy as an alternative tool to traditional meat chemical composition methods. Finally, the wavelength range of the spectrum from 2198 to 1118 cm−1 showed good results for classification purposes.

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata
Keyword(s):  
Infrared Spectroscopy ◽  
Raw Material ◽  
Material Source ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Mid-infrared spectroscopy of earthworm bodies to investigate their species belonging and their relationship with the soil they inhabit

2021 ◽  
Vol 162 ◽  
pp. 103894
Author(s):  
Thao Pham ◽  
Cornelia Rumpel ◽  
Yvan Capowiez ◽  
Pascal Jouquet ◽  
Céline Pelosi ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Rapid tannin profiling of tree fodders using untargeted mid-infrared spectroscopy and partial least squares regression

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Jordi Ortuño ◽  
Sokratis Stergiadis ◽  
Anastasios Koidis ◽  
Jo Smith ◽  
Chris Humphrey ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Multivariate Calibration ◽  
Plant Ecology ◽  
Coefficient Of Determination ◽  
Least Squares Regression ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Abstract Background The presence of condensed tannins (CT) in tree fodders entails a series of productive, health and ecological benefits for ruminant nutrition. Current wet analytical methods employed for full CT characterisation are time and resource-consuming, thus limiting its applicability for silvopastoral systems. The development of quick, safe and robust analytical techniques to monitor CT’s full profile is crucial to suitably understand CT variability and biological activity, which would help to develop efficient evidence-based decision-making to maximise CT-derived benefits. The present study investigates the suitability of Fourier-transformed mid-infrared spectroscopy (MIR: 4000–550 cm−1) combined with multivariate analysis to determine CT concentration and structure (mean degree of polymerization—mDP, procyanidins:prodelphidins ratio—PC:PD and cis:trans ratio) in oak, field maple and goat willow foliage, using HCl:Butanol:Acetone:Iron (HBAI) and thiolysis-HPLC as reference methods. Results The MIR spectra obtained were explored firstly using Principal Component Analysis, whereas multivariate calibration models were developed based on partial least-squares regression. MIR showed an excellent prediction capacity for the determination of PC:PD [coefficient of determination for prediction (R2P) = 0.96; ratio of prediction to deviation (RPD) = 5.26, range error ratio (RER) = 14.1] and cis:trans ratio (R2P = 0.95; RPD = 4.24; RER = 13.3); modest for CT quantification (HBAI: R2P = 0.92; RPD = 3.71; RER = 13.1; Thiolysis: R2P = 0.88; RPD = 2.80; RER = 11.5); and weak for mDP (R2P = 0.66; RPD = 1.86; RER = 7.16). Conclusions MIR combined with chemometrics allowed to characterize the full CT profile of tree foliage rapidly, which would help to assess better plant ecology variability and to improve the nutritional management of ruminant livestock.

At-line mid infrared spectroscopy for monitoring downstream processing unit operations

2015 ◽  
Vol 50 (6) ◽  
pp. 997-1005 ◽  
Author(s):  
Florian Capito ◽  
Romas Skudas ◽  
Harald Kolmar ◽  
Christian Hunzinger
Keyword(s):  
Infrared Spectroscopy ◽  
Downstream Processing ◽  
Processing Unit ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Unit Operations

scholarly journals ULTRA-DEEP MID-INFRARED SPECTROSCOPY OF LUMINOUS INFRARED GALAXIES ATz∼ 1 ANDz∼ 2

2010 ◽  
Vol 719 (1) ◽  
pp. 425-450 ◽  
Author(s):  
Dario Fadda ◽  
Lin Yan ◽  
Guilaine Lagache ◽  
Anna Sajina ◽  
Dieter Lutz ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Infrared Galaxies ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Luminous Infrared Galaxies
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