Determination of organic carbon in soils and sediments in an automatic method

LI Guo-ao; YAN Lei; CHEN Zhen-he; LI Ye

Volume 5 Issue 2

Jun. 2017

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LI Guo-ao, YAN Lei, CHEN Zhen-he, et al. 2017: Determination of organic carbon in soils and sediments in an automatic method. Journal of Groundwater Science and Engineering, 5(2): 124-129.

Citation:

LI Guo-ao, YAN Lei, CHEN Zhen-he, et al. 2017: Determination of organic carbon in soils and sediments in an automatic method. Journal of Groundwater Science and Engineering, 5(2): 124-129.

LI Guo-ao, YAN Lei, CHEN Zhen-he, et al. 2017: Determination of organic carbon in soils and sediments in an automatic method. Journal of Groundwater Science and Engineering, 5(2): 124-129.

Citation:

LI Guo-ao, YAN Lei, CHEN Zhen-he, et al. 2017: Determination of organic carbon in soils and sediments in an automatic method. Journal of Groundwater Science and Engineering, 5(2): 124-129.

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Determination of organic carbon in soils and sediments in an automatic method

1Beijing Municipal Research Institute of Environmental Protection, National Engineering Research Center of Urban Environmental Pollution Control, Beijing 100037, China.

Publish Date: 2017-06-28

Abstract

Abstract

Our automatic digestion device is applied in determining the quantity of organic carbon in the soils/sediments. Its operation process is simple. The reaction conditions are optimized; the complex pretreatments are automated; and a great number of samples can be analyzed at the same time. Comparison shows that the experiment using the device is safer and easier. The correlation coefficiency is greater than 0.999, indicating a good linear relationship. The relative standard deviations of three different concentrations are less than 5%. Standard addition recoveries of high and low concentration range between 94.7% and 100% and between 91.7% and 105% respectively. Method determination limitation (MDL) of this method meets the practical requirements. The device in this paper supports a compositive SOC determination method. Its advantages include improved time and labor efficiency, and accuracy. The device is widely used in the studies of agricultural science, carbon cycle, climate change and environmental protection.
- Automatic digestion,
- Soils,
- Sediments,
- Organic carbon

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References(13)

References

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