Prediction of Phenolic Composition of Shiraz Wines Using Attenuated Total Reflectance Mid-Infrared (ATR-MIR) Spectroscopy

2016 ◽  
Vol 67 (4) ◽  
pp. 460-465 ◽  
Author(s):  
R. Ristic ◽  
D. Cozzolino ◽  
D. W. Jeffery ◽  
J. M. Gambetta ◽  
S. E. P. Bastian
Keyword(s):  
Attenuated Total Reflectance ◽  
Phenolic Composition ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mir Spectroscopy

Feasibility study on the use of attenuated total reflectance MIR spectroscopy to measure the fructan content in barley

2014 ◽  
Vol 6 (19) ◽  
pp. 7710-7715 ◽  
Author(s):  
D. Cozzolino ◽  
S. Roumeliotis ◽  
J. Eglinton
Keyword(s):  
Feasibility Study ◽  
Attenuated Total Reflectance ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mir Spectroscopy

The aim of this study was to evaluate the feasibility of using attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy to predict the fructan content in both barley and malt flour samples.

scholarly journals Development of Attenuated Total Reflectance Mid-Infrared (ATR-MIR) and Near-Infrared (NIR) Spectroscopy for the Determination of Resistant Starch Content in Wheat Grains

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Rong Wang ◽  
Xia Wei ◽  
Hongpan Wang ◽  
Linshu Zhao ◽  
Cengli Zeng ◽  
...  
Keyword(s):  
Resistant Starch ◽  
Near Infrared ◽  
Coefficient Of Determination ◽  
Attenuated Total Reflectance ◽  
Calibration Model ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mir Spectroscopy ◽  
Calibration Models

The chemical method for the determination of the resistant starch (RS) content in grains is time-consuming and labor intensive. Near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy are rapid and nondestructive analytical techniques for determining grain quality. This study was the first report to establish and compare these two spectroscopic techniques for determining the RS content in wheat grains. Calibration models with four preprocessing techniques based on the partial least squares (PLS) algorithm were built. In the NIR technique, the mean normalization + Savitzky–Golay smoothing (MN + SGS) preprocessing technique had a higher coefficient of determination ( R c 2  = 0.672; R p 2  = 0.552) and a relative lower root mean square error value (RMSEC = 0.385; RMSEP = 0.459). In the ATR-MIR technique, the baseline preprocessing method exhibited a better performance regarding to the values of coefficient of determination ( R c 2  = 0.927; R p 2  = 0.828) and mean square error value (RMSEC = 0.153; RMSEP = 0.284). The validation of the developed best NIR and ATR-MIR calibration models showed that the ATR-MIR best calibration model has a better RS prediction ability than the NIR best calibration model. Two high grain RS content wheat mutants were screened out by the ATR-MIR best calibration model from the wheat mutant library. There was no significant difference between the predicted values and chemical measured values in the two high RS content mutants. It proved that the ATR-MIR model can be a perfect substitute in RS measuring. All the results indicated that the ATR-MIR spectroscopy with improved screening efficiency can be used as a fast, rapid, and nondestructive method in high grain RS content wheat breeding.

scholarly journals Quantitative Analysis of Alcohol, Sugar, and Tartaric Acid in Alcoholic Beverages Using Attenuated Total Reflectance Spectroscopy

2006 ◽  
Vol 2006 ◽  
pp. 1-5 ◽  
Author(s):  
R. Nagarajan ◽  
A. Gupta ◽  
R. Mehrotra ◽  
M. M. Bajaj
Keyword(s):  
Chemical Analysis ◽  
Tartaric Acid ◽  
Wavelength Region ◽  
Alcoholic Beverages ◽  
Attenuated Total Reflectance ◽  
Calibration Model ◽  
Good Reliability ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mir Spectroscopy

Mid-infrared (MIR) spectroscopy in attenuated total reflectance (ATR) mode was used for quantifying ethanol, sucrose, and tartaric acid in alcoholic beverages. One hundred synthetic samples were prepared with different ethanol, sucrose, and tartaric acid concentrations. Experiments were carried out on Bio-Rad 175 C FTS using an ATR accessory. Spectra were recorded in the wavelength region 600–4000cm−1. Calibration was performed using partial least squares (PLS) algorithm. Commercially available alcoholic beverages (gin, rum, vodka, etc.) were experimented and concentration of ethanol in these samples was predicted using the developed calibration model. Chemical analysis of these commercial samples was carried out in order to compare the results. The agreement between ATR results with those of chemical analysis revealed good reliability and repeatability of the technique used.

scholarly journals Infrared Fiber-Optic Spectroscopy Detects Bovine Articular Cartilage Degeneration

Cartilage ◽  
2021 ◽  
pp. 194760352199322
Author(s):  
Vesa Virtanen ◽  
Ervin Nippolainen ◽  
Rubina Shaikh ◽  
Isaac O. Afara ◽  
Juha Töyräs ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Infrared Spectroscopy ◽  
Articular Cartilage ◽  
Fiber Optic ◽  
Mechanical Damage ◽  
Attenuated Total Reflectance ◽  
Support Vector ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Joint Injuries

Objective Joint injuries may lead to degeneration of cartilage tissue and initiate development of posttraumatic osteoarthritis. Arthroscopic surgeries can be used to treat joint injuries, but arthroscopic evaluation of articular cartilage quality is subjective. Fourier transform infrared spectroscopy combined with fiber optics and attenuated total reflectance crystal could be used for the assessment of tissue quality during arthroscopy. We hypothesize that fiber-optic mid-infrared spectroscopy can detect enzymatically and mechanically induced damage similar to changes occurring during progression of osteoarthritis. Design Bovine patellar cartilage plugs were extracted and degraded enzymatically and mechanically. Adjacent untreated samples were utilized as controls. Enzymatic degradation was done using collagenase and trypsin enzymes. Mechanical damage was induced by (1) dropping a weight impactor on the cartilage plugs and (2) abrading the cartilage surface with a rotating sandpaper. Fiber-optic mid-infrared spectroscopic measurements were conducted before and after treatments, and spectral changes were assessed with random forest, partial least squares discriminant analysis, and support vector machine classifiers. Results All models had excellent classification performance for detecting the different enzymatic and mechanical damage on cartilage matrix. Random forest models achieved accuracies between 90.3% and 77.8%, while partial least squares model accuracies ranged from 95.8% to 84.7%, and support vector machine accuracies from 91.7% to 80.6%. Conclusions The results suggest that fiber-optic Fourier transform infrared spectroscopy attenuated total reflectance spectroscopy is a viable way to detect minor and major degeneration of articular cartilage. Objective measures provided by fiber-optic spectroscopic methods could improve arthroscopic evaluation of cartilage damage.

Real-time liquid-phase organic reaction monitoring with mid-infrared attenuated total reflectance dual frequency comb spectroscopy

2019 ◽  
Vol 356 ◽  
pp. 39-45 ◽  
Author(s):  
Daniel I. Herman ◽  
Eleanor M. Waxman ◽  
Gabriel Ycas ◽  
Fabrizio R. Giorgetta ◽  
Nathan R. Newbury ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Real Time ◽  
Frequency Comb ◽  
Attenuated Total Reflectance ◽  
Reaction Monitoring ◽  
Dual Frequency ◽  
Organic Reaction ◽  
Mid Infrared ◽  
Total Reflectance
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