Evaluation of net nitrification rates in paddy soil using mid-infrared attenuated total reflectance spectroscopy

2017 ◽  
Vol 9 (5) ◽  
pp. 748-755 ◽  
Author(s):  
Yanqiu Shao ◽  
Changwen Du ◽  
Yazhen Shen ◽  
Fei Ma ◽  
Jianmin Zhou

Colorimetry is a conventional method for the determination of soil nitrification rates, and it demands pretreatments and chemical reagents, which make it time and cost consuming.

2017 ◽  
Vol 9 (36) ◽  
pp. 5388-5394 ◽  
Author(s):  
Yanqiu Shao ◽  
Changwen Du ◽  
Jianmin Zhou ◽  
Fei Ma ◽  
Ying Zhu ◽  
...  

Nitrogen isotope labelled technology with mass spectroscopy is commonly used to trace the fate of agricultural N in the environment.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Jessica Medina ◽  
Diana Caro Rodríguez ◽  
Victoria A. Arana ◽  
Andrés Bernal ◽  
Pierre Esseiva ◽  
...  

The sensorial properties of Colombian coffee are renowned worldwide, which is reflected in its market value. This raises the threat of fraud by adulteration using coffee grains from other countries, thus creating a demand for robust and cost-effective methods for the determination of geographical origin of coffee samples. Spectroscopic techniques such as Nuclear Magnetic Resonance (NMR), near infrared (NIR), and mid-infrared (mIR) have arisen as strong candidates for the task. Although a body of work exists that reports on their individual performances, a faithful comparison has not been established yet. We evaluated the performance of 1H-NMR, Attenuated Total Reflectance mIR (ATR-mIR), and NIR applied to fraud detection in Colombian coffee. For each technique, we built classification models for discrimination by species (C. arabica versus C. canephora (or robusta)) and by origin (Colombia versus other C. arabica) using a common set of coffee samples. All techniques successfully discriminated samples by species, as expected. Regarding origin determination, ATR-mIR and 1H-NMR showed comparable capacity to discriminate Colombian coffee samples, while NIR fell short by comparison. In conclusion, ATR-mIR, a less common technique in the field of coffee adulteration and fraud detection, emerges as a strong candidate, faster and with lower cost compared to 1H-NMR and more discriminating compared to NIR.


Talanta ◽  
2013 ◽  
Vol 109 ◽  
pp. 191-196 ◽  
Author(s):  
Rafael Rodrigues Hatanaka ◽  
Rodrigo Sequinel ◽  
Carlos Eduardo Gualtieri ◽  
Antônio Carlos Bergamaschi Tercini ◽  
Danilo Luiz Flumignan ◽  
...  

2008 ◽  
Vol 76 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Raphael Linker ◽  
Yael Etzion

Real-time information about milk composition would be very useful for managing the milking process. Mid-infrared spectroscopy, which relies on fundamental modes of molecular vibrations, is routinely used for off-line analysis of milk and the purpose of the present study was to investigate the potential of attenuated total reflectance mid-infrared spectroscopy for real-time analysis of milk in milking lines. The study was conducted with 189 samples from over 70 cows that were collected during an 18 months period. Principal component analysis, wavelets and neural networks were used to develop various models for predicting protein and fat concentration. Although reasonable protein models were obtained for some seasonal sub-datasets (determination errors <~0·15% protein), the models lacked robustness and it was not possible to develop a model suitable for all the data. Determination of fat concentration proved even more problematic and the determination errors remained unacceptably large regardless of the sub-dataset analyzed or of the spectral intervals used. These poor results can be explained by the limited penetration depth of the mid-infrared radiation that causes the spectra to be very sensitive to the presence of fat globules or fat biofilms in the boundary layer that forms at the interface between the milk and the crystal that serves both as radiation waveguide and sensing element. Since manipulations such as homogenisation are not permissible for in-line analysis, these results show that the potential of mid-infrared attenuated total reflectance spectroscopy for in-line milk analysis is indeed quite limited.


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