Data of characteristics of particulate organic matter separated from different soils in the Yellow River Delta

Published: 29 November 2022| Version 1 | DOI: 10.17632/ct97f47yw5.1
Contributors:
Xinghua Liu,
Yongming Luo,
haibo zhang,
Jiaqiang Wu,
Rongsheng Zhu,
Huaizhong Wang

Description

We provide several data in this paper used in the research article “Spatial heterogeneity of particulate organic matter (POM) for the sorption of ciprofloxacin at the microstructure scale”. POM is an organic-mineral complex comprising of organic debris, light-density organic matter and has a relatively high turnover rate in the soil active organic carbon pool. POM has complex morphological structure, containing varying surface and inner interspacing pore structure, depends on the parent plants species and fragments as well as on its decomposition degree [1,2]. POM fragments were colonized by the microbial population, and simultaneously adsorbed clay-sized minerals [2,3]. Thus, the porous characteristics of POM containing the surface and inner interspacing pore structure showed in Table 1, the components and the proportion of organic functional groups detailed information showed in Fig.1. Samples were analyzed using SEM (Hitachi S-4800, Japan) to determine the organic-mineral of POM and the SEM images of the POM on the silicon wafer showed in Fig.2(a) and Fig.2(b), subsequently this data were the foundation for further analyzed by NanoSIMS in the related research article showed in Fig.2(c).

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The POMs extraction was used wet sieving and density extraction. The organic functional groups of the POMs measured using solid state 13C nuclear magnetic resonance spectroscopy (Varian Infinity Plus 400 MHz, VARIAN medical systems, USA). The special surface area was measured using a Surface Area and Porosimetry Analyzer (NOVA3200e, Quantachrome Instruments, Florida, USA) with the Brunauer-Emmerr-Teller (BET) capacity method. The scanning image was inspected by scanning electron microscopy (Hitachi S-4800) on the micrometer scale. The data drawing and model fitting were done using the Origin2021 software.

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Funding

National Natural Science Foundation of China

42007137

National Natural Science Foundation of China

41371313

National Natural Science Foundation of China

41771351

National Natural Science Foundation of China

42177021

Innovation Ability Improvement Project of Shandong Science and Technology smes

2022TSGC1013

Innovation Project of Shandong Academy of Agricultural Sciences

CXGC2018E10

Zhejiang Provincial Natural Science Foundation of China

LZ19D010001

Zhejiang Agriculture and Forestry University Research Fund

2017FR021

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