High-precision sensing of chemical warfare simulants using mid-infrared spectroscopy

2021 ◽  
Author(s):  
Jacob Wyngaard
Keyword(s):  
Infrared Spectroscopy ◽  
High Precision ◽  
Chemical Warfare ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals HIGH-PRECISION MID-INFRARED SPECTROSCOPY WITH A WIDELY TUNEABLE SI-TRACEABLE FREQUENCY-COMB-STABILISED QCL

2021 ◽  
Author(s):  
Nicolas Cahuzac ◽  
Benoit Darquie ◽  
Anne Amy-Klein ◽  
Rodolphe Le Targat ◽  
Paul-Eric Pottie ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
High Precision ◽  
Frequency Comb ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Widely tunable difference frequency generation source for high-precision mid-infrared spectroscopy

2013 ◽  
Vol 21 (8) ◽  
pp. 9238 ◽  
Author(s):  
Chun-Chieh Liao ◽  
Yu-Hung Lien ◽  
Kuo-Yu Wu ◽  
Yan-Rung Lin ◽  
Jow-Tsong Shy
Keyword(s):  
Infrared Spectroscopy ◽  
High Precision ◽  
Difference Frequency Generation ◽  
Difference Frequency ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Frequency Generation

Comb-assisted subkilohertz linewidth quantum cascade laser for high-precision mid-infrared spectroscopy

2013 ◽  
Vol 102 (12) ◽  
pp. 121117 ◽  
Author(s):  
I. Galli ◽  
M. Siciliani de Cumis ◽  
F. Cappelli ◽  
S. Bartalini ◽  
D. Mazzotti ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
High Precision ◽  
Quantum Cascade Laser ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Quantum Cascade

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
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