Infrared (IR) Spectroscopy—Near-Infrared Spectroscopy and Mid-Infrared Spectroscopy

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.

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

NIR news ◽

10.1177/0960336018763196 ◽

2018 ◽

Vol 29 (3) ◽

pp. 6-11 ◽

Cited By ~ 1

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.

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

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033519883793 ◽

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.

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Milk coagulation properties and methods of detection

Ciência Rural ◽

10.1590/0103-8478cr20161042 ◽

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.

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Determining quality parameters of fish oils by means of 1H nuclear magnetic resonance, mid-infrared, and near-infrared spectroscopy in combination with multivariate statistics

Food Research International ◽

10.1016/j.foodres.2017.12.041 ◽

2018 ◽

Vol 106 ◽

pp. 116-128 ◽

Cited By ~ 9

Author(s):

Editha Giese ◽

Ole Winkelmann ◽

Sascha Rohn ◽

Jan Fritsche

Keyword(s):

Nuclear Magnetic Resonance ◽

Infrared Spectroscopy ◽

Magnetic Resonance ◽

Multivariate Statistics ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Quality Parameters ◽

Fish Oils ◽

Mid Infrared ◽

1H Nuclear Magnetic Resonance

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Near- versus Mid-Infrared Diffuse Reflectance Spectroscopy for the Quantitative Determination of the Composition of Forages and By-Products

Journal of Near Infrared Spectroscopy ◽

10.1255/jnirs.31 ◽

1994 ◽

Vol 2 (1) ◽

pp. 49-57 ◽

Cited By ~ 24

Author(s):

James B. Reeves

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Diffuse Reflectance ◽

Near Infrared ◽

Reflectance Spectroscopy ◽

In Vitro Digestibility ◽

Mid Infrared ◽

Infrared Spectrometer ◽

By Products

The objective of this work was to explore the relative value of near- and mid-infrared diffused reflectance spectroscopy in determining the composition of forages and by-products. Sixty-seven samples consisting of 15 alfalfa, 16 tall fescue and 15 orchard grass hays, 10 corn stovers and 11 wheat straws at various stages of maturity were examined by diffuse reflectance using a scanning monochromator (1100–2500 nm), a Fourier near infrared spectrometer (10,000–4000 cm−1, 4 and 16 cm−1 resolution, neat and 5% sample in KBr) and a Fourier mid-infrared spectrometer (4000–400 cm−1, 4 and 16 cm−1 resolution, neat and 5% sample in KBr). Samples were analysed chemically and spectroscopically for fibres, in vitro digestibility, crude protein, nitrobenzene oxidation products and various measures of lignin content. The results showed that diffuse mid-infrared reflectance spectroscopy can perform as well as, and sometimes better than, diffuse near infrared spectroscopy in determining the composition of forages and by-products. In addition, Fourier near infrared spectroscopy did not perform as well as either near infrared using a scanning monochromator or the Fourier mid-infrared spectrometer. Finally, diluting samples with KBr was not beneficial for either Fourier based determinations. Additional work with more diverse data sets and various Fourier instrument configurations will be needed to further define the limits and usefulness of Fourier transform near- and mid-infrared spectroscopy in the determination of forage and by-product composition.

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