Generic Prediction of Soil Organic Carbon in Alfisols Using Diffuse Reflectance Fourier-Transform Mid-Infrared Spectroscopy

2011 ◽  
Vol 75 (6) ◽  
pp. 2358-2360 ◽  
Author(s):  
Mercy Kamau-Rewe ◽  
Frank Rasche ◽  
Juan Guillermo Cobo ◽  
Gerd Dercon ◽  
Keith D. Shepherd ◽  
...  
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Diffuse Reflectance ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Prediction of tropical volcanic soil organic carbon stocks by visible-near- and mid-infrared spectroscopy

CATENA ◽  
2020 ◽  
Vol 189 ◽  
pp. 104452 ◽  
Author(s):  
Myriam Allo ◽  
Pierre Todoroff ◽  
Magali Jameux ◽  
Mathilde Stern ◽  
Louis Paulin ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stocks ◽  
Volcanic Soil ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Soil Organic Carbon Stocks

scholarly journals Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon

2022 ◽  
Vol 217 ◽  
pp. 105284
Author(s):  
Yongsheng Hong ◽  
Muhammad Abdul Munnaf ◽  
Angela Guerrero ◽  
Songchao Chen ◽  
Yaolin Liu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Near Infrared ◽  
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

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
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