Data fusion of visible near-infrared and mid-infrared spectroscopy for rapid estimation of soil aggregate stability indices

2021 ◽  
Vol 187 ◽  
pp. 106229
Author(s):  
Ernest Afriyie ◽  
Ann Verdoodt ◽  
Abdul M. Mouazen
Keyword(s):  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Near Infrared ◽  
Aggregate Stability ◽  
Soil Aggregate ◽  
Mid Infrared ◽  
Rapid Estimation ◽  
Soil Aggregate Stability ◽  
Mid Infrared Spectroscopy ◽  
Stability Indices

Combining mid infrared spectroscopy and paper spray mass spectrometry in a data fusion model to predict the composition of coffee blends

2019 ◽  
Vol 281 ◽  
pp. 71-77 ◽  
Author(s):  
Camila Assis ◽  
Hebert Vinicius Pereira ◽  
Victoria Silva Amador ◽  
Rodinei Augusti ◽  
Leandro Soares de Oliveira ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Infrared Spectroscopy ◽  
Data Fusion ◽  
Fusion Model ◽  
Paper Spray ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals An application of near-infrared and mid-infrared spectroscopy to the study of selected minerals

2010 ◽  
Vol 165 (3) ◽  
pp. 193-205 ◽  
Author(s):  
Ray L. Frost ◽  
B. Jagannadha Reddy ◽  
Eloise C. Keeffe
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Dairy Product Analysis: Identification of Microorganisms by Mid-Infrared Spectroscopy and Determination of Constituents by Raman Spectroscopy

1995 ◽  
Vol 78 (6) ◽  
pp. 1537-1541 ◽  
Author(s):  
Angela Fehrmann ◽  
Monika Franz ◽  
Andreas Hoffmann ◽  
Lutz Rudzik ◽  
Eberhard Wüst
Keyword(s):  
Raman Spectroscopy ◽  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Dairy Product ◽  
Milk Powder ◽  
Solid Content ◽  
Product Analysis ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Microbiological Methods

Abstract Identification of microorganisms by traditional microbiological methods is time consuming. The German Federal Health Office has developed a method using mid-infrared spectroscopy to identify microorganisms rapidly. This method has been modified for application to microorganisms important in the dairy industry. Mid- and near-infrared spectroscopies are well-established methods for quantitative measurements of fat, protein, lactose, and solid content in a variety of products. A disadvantage of both methods is the huge absorption due to water; extraction of other components is complicated and can be achived only statistically. With Raman spectroscopy, water causes less absorption. We investigated the use of Raman spectroscopy as a quantitative method for milk powder.

Vibrational spectroscopy in practice: Detection of mineral oil in sunflower oil with near- and mid-infrared spectroscopy

NIR news ◽  
2018 ◽  
Vol 29 (3) ◽  
pp. 6-11 ◽  
Author(s):  
Michael K-H Pfister ◽  
Bettina Horn ◽  
Janet Riedl ◽  
Susanne Esslinger ◽  
Carsten Fauhl-Hassek
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Sunflower Oil ◽  
Near Infrared ◽  
Limit Of Detection ◽  
Model Performance ◽  
Mineral Oil ◽  
Food Ingredient ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Fourier transform infrared spectroscopy becomes increasingly important for detecting adulterations in food due to a minimal sample preparation and a fast nondestructive measurement. Sunflower oil is a popular food ingredient, which might be contaminated or even adulterated by compounds with health concerns such as mineral oil. In this context a feasibility study was performed to compare the suitability of near- and mid-infrared spectroscopy for detecting mineral oil in sunflower oil. For this purpose, sunflower oils spiked with mineral oil in the concentration range of 0.001–1.0% w/w were analyzed by Fourier transform near- and mid-infrared spectroscopy, respectively, and spectra data were preprocessed prior to partial least squares regression. Hereby, the data preparation was optimized for each technique to account for model performance influences. The model performance was fairly similar for both approaches with a slightly better precision and thus limit of detection (near infrared 0.12% w/w, mid infrared 0.16% w/w) for the near-infrared-based model compared to the mid-infrared model. Consequently, both techniques are considered suitable for the determination of mineral oil in sunflower oil in the context of food authentication.

A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali

2019 ◽  
Vol 28 (1) ◽  
pp. 10-17
Author(s):  
Xuesong Liu ◽  
Siyu Zhang ◽  
Leting Si ◽  
Zhonglin Lin ◽  
Chunyan Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Radix Astragali ◽  
Astragaloside Iv ◽  
Active Components ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Models

Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.

scholarly journals Milk coagulation properties and methods of detection

2017 ◽  
Vol 47 (10) ◽  
Author(s):  
Simone Beux ◽  
Edimir Andrade Pereira ◽  
Martino Cassandro ◽  
Alessandro Nogueira ◽  
Nina Waszczynskyj
Keyword(s):  
Infrared Spectroscopy ◽  
Genetic Variants ◽  
Milk Protein ◽  
Near Infrared ◽  
Milk Composition ◽  
Optical Devices ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Ruminant Species ◽  
Milk Coagulation

ABSTRACT: One of the most crucial steps in cheesemaking is the coagulation process, and knowledge of the parameters involved in the clotting process plays an important technological role in the dairy industry. Milk of different ruminant species vary in terms of their coagulation capacities because they are influenced by the milk composition and mainly by the milk protein genetic variants. The milk coagulation capacity can be measured by means of mechanical and/or optical devices, such as Lactodynamographic Analysis and Near-Infrared and Mid-Infrared Spectroscopy.

Near infrared and mid-infrared spectroscopy for the quantification of adulterants in ground black pepper

2012 ◽  
Vol 20 (5) ◽  
pp. 521 ◽  
Author(s):  
Cushla McGoverin ◽  
Danwille September ◽  
Paul Geladi ◽  
Marena Manley
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Black Pepper ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy
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