Rapid Non-destructive Detection of Spoilage of Intact Chicken Breast Muscle Using Near-infrared and Fourier Transform Mid-infrared Spectroscopy and Multivariate Statistics

2009 ◽  
Vol 5 (1) ◽  
pp. 338-347 ◽  
Author(s):  
Dimitris Alexandrakis ◽  
Gerard Downey ◽  
Amalia G. M. Scannell
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Multivariate Statistics ◽  
Near Infrared ◽  
Breast Muscle ◽  
Chicken Breast ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Non Destructive

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.

Fourier transform near-infrared and mid-infrared spectroscopy as efficient tools for rapid screening of deoxynivalenol contamination in wheat bran

2018 ◽  
Vol 99 (4) ◽  
pp. 1946-1953 ◽  
Author(s):  
Annalisa De Girolamo ◽  
Salvatore Cervellieri ◽  
Marina Cortese ◽  
Anna Chiara Raffaella Porricelli ◽  
Michelangelo Pascale ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Wheat Bran ◽  
Near Infrared ◽  
Rapid Screening ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Fourier transform mid infrared spectroscopy applications for monitoring the structural plasticity of plant cell walls

2014 ◽  
Vol 5 ◽  
Author(s):  
Asier Largo-Gosens ◽  
Mabel Hernández-Altamirano ◽  
Laura García-Calvo ◽  
Ana Alonso-Simón ◽  
Jesús Álvarez ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Plant Cell ◽  
Cell Walls ◽  
Structural Plasticity ◽  
Plant Cell Walls ◽  
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.

High throughput nutritional profiling of pea seeds using Fourier transform mid-infrared spectroscopy

2020 ◽  
Vol 309 ◽  
pp. 125585 ◽  
Author(s):  
Chithra Karunakaran ◽  
Perumal Vijayan ◽  
Jarvis Stobbs ◽  
Ramandeep Kaur Bamrah ◽  
Gene Arganosa ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
High Throughput ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pea Seeds ◽  
Nutritional Profiling
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