Fourier transform mid-infrared spectroscopy evaluation of early stages of virgin olive oil autoxidation

2013 ◽  
Vol 115 (5) ◽  
pp. 526-534 ◽  
Author(s):  
Nikolaos Nenadis ◽  
Ioannis Tsikouras ◽  
Polidoros Xenikakis ◽  
Maria Z. Tsimidou
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Early Stages

Preliminary study on application of mid infrared spectroscopy for the evaluation of the virgin olive oil “freshness”

2007 ◽  
Vol 598 (1) ◽  
pp. 128-134 ◽  
Author(s):  
Nicoletta Sinelli ◽  
Maria Stella Cosio ◽  
Carmen Gigliotti ◽  
Ernestina Casiraghi
Keyword(s):  
Infrared Spectroscopy ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Preliminary Study

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

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

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.

scholarly journals Detection of adulterants in grape nectars by attenuated total reflectance Fourier-transform mid-infrared spectroscopy and multivariate classification strategies

2018 ◽  
Vol 266 ◽  
pp. 254-261 ◽  
Author(s):  
Carolina Sheng Whei Miaw ◽  
Marcelo Martins Sena ◽  
Scheilla Vitorino Carvalho de Souza ◽  
Maria Pilar Callao ◽  
Itziar Ruisanchez
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Attenuated Total Reflectance ◽  
Multivariate Classification ◽  
Mid Infrared ◽  
Total Reflectance ◽  
Mid Infrared Spectroscopy

A method for real time detection of reaction endpoints using a moving window t-test of in situ time course data

2020 ◽  
Vol 5 (9) ◽  
pp. 1642-1646
Author(s):  
Elyse N. T. DiMaso ◽  
Robert W. Bondi ◽  
John Guo ◽  
Alexander G. O'Brien
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Real Time ◽  
Time Course ◽  
Test Method ◽  
Moving Window ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Time Course Data

In-line Fourier transform mid-infrared spectroscopy (FTIR) in combination with a moving window t-test method was used to determine the endpoint of a reaction with a highly inconsistent rate.

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