Remediation of resins-contaminated soil by the combination of electrokinetic and bioremediation processes

Remediation of resins-contaminated soil by the combination of electrokinetic and bioremediation processes

Journal Pre-proof Remediation of resins-contaminated soil by the combination of electrokinetic and bioremediation processes Jing Ma, Qi Zhang, Fu Chen...

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Journal Pre-proof Remediation of resins-contaminated soil by the combination of electrokinetic and bioremediation processes Jing Ma, Qi Zhang, Fu Chen, Qianlin Zhu, Yifei Wang, Gangjun Liu PII:

S0269-7491(19)37160-X

DOI:

https://doi.org/10.1016/j.envpol.2020.114047

Reference:

ENPO 114047

To appear in:

Environmental Pollution

Received Date: 2 December 2019 Revised Date:

14 January 2020

Accepted Date: 22 January 2020

Please cite this article as: Ma, J., Zhang, Q., Chen, F., Zhu, Q., Wang, Y., Liu, G., Remediation of resins-contaminated soil by the combination of electrokinetic and bioremediation processes, Environmental Pollution (2020), doi: https://doi.org/10.1016/j.envpol.2020.114047. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Ltd.

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Remediation of resins-contaminated soil by the combination of electrokinetic and

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bioremediation processes

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Jing Maa,1, Qi Zhangb,1, Fu Chena,b, *, Qianlin Zhua, Yifei Wangb, Gangjun Liuc

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221008, China

a

Low Carbon Energy Institute, China University of Mining and Technology, Xuzhou

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b

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and Technology, Xuzhou 221008, China

School of Environmental Science and Spatial Informatics, China University of Mining

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c

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Melbourne 3000, Australia

Geospatial Science, College of Science, Engineering and Health, RMIT University,

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*Corresponding author. E-mail address: [email protected]

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Qi Zhang and Jing Ma contributed equally to this work.

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Abstract

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In this work, soil contaminated by petroleum resins was remediated by

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electrokinetic-bioremediation (EK-BIO) technology for 60 days. A microbial

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consortium, comprising Rhizobium sp., Arthrobacter globiformis, Clavibacter xyli,

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Curtobacterium flaccumfaciens, Bacillus subtilis, Pseudomonas aeruginosa and

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Bacillus sp., was used to enhance the treatment performance. The results indicate that

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resin removal and phytotoxicity reduction were highest in the inoculated EK process,

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wherein 23.6% resins was removed from the soil and wheat seed germination ratio was

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increased from 47% to around 90% after treatment. The microbial counts, soil basal

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respiration and dehydrogenase activity were positively related to resins degradation, and

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they could be enhanced by direct current electric field. After remediation, the C/H ratio

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of resins decreased from 8.03 to 6.47. Furthermore, the structure of resins was analyzed

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by Fourier-transform infrared spectroscopy, elemental analysis, and 1H nuclear magnetic

38

resonance (1H NMR) before and after treatment. It was found that the changes of the

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structure of resins took place during EK-BIO treatment and finally led to the reduction

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of aromaticity, aromaticity condensation and phytotoxicity.

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Key words: Petroleum resins; phytotoxicity; dehydrogenase activity; seed germination;

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aromaticity

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1. Introduction

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Soil petroleum contamination is one of the most serious soil pollution problems

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among the existing environmental problems (Khan et al., 2018). When petroleum enters

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the soil through various ways such as spills, leaks and accidents, soil organic matter

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content increases, carbon:nitrogen (C:N) and carbon:phosphorus (C:P) ratios are

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unbalanced, which leads to the loss of soil nutrients and the decline of metabolic

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capacity in the soil.

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Crude oil is an extremely complex mixture of hydrocarbons containing thousands

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of components. On the basis of the common separation procedure, crude oil can be

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grouped into four major classes: saturate hydrocarbon (saturates), aromatic hydrocarbon

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(aromatics), resins and asphaltenes (SARA) (Bissada et al., 2016). Heavy crude oil

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reserves has a large proportion in the total crude oil resources in China. For example, in

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Liaohe Oilfield, the content of resins and asphaltenes is up to 34% and 12%,

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respectively (Li et al., 2017).

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As the most abundant heavy component of heavy oil, resins has been a difficult

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problem in the process of petroleum-contaminated soil remediation. Resins is comprised

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of many condensed ring units and abundant in polar substituents containing nitrogen,

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sulfur and/or oxygen (Li et al., 2017). Resins has a high molecular weight and strong

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polarity, and its degradation is abiotically and biotically difficult in the environment,

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leading to the accumulation and potential environmental hazards. Therefore, the

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removal of resins and the reduction of its toxicity in petroleum-contaminated soil have

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become an urgent issue to be solved during remediation practice.

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As a green and efficient remediation technology, electrokinetic-bioremediation

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(EK-BIO) has been tested for remediation of various organic-contaminated soils

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including petroleum-contaminated soil (Dong et al., 2013; Hassan et al., 2016; Zhang et

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al., 2017). On the one hand, electrodialysis, electromigration, electrophoresis and

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electrochemical oxidation reactions are involved in EK process. On the other hand, EK

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technology can provide good living conditions for microbial populations, promoting

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microbial activity and enhancing biodegradation of pollutants. However, due to its

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macromolecular characteristics, resins is difficult to degrade, and the improvement of

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resins degradation by EK-BIO is limited. Thus, the degradation rate of resins is

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insufficient to accurately and comprehensively describe the remediation effect.

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Existing studies demonstrate that both photooxidation and microbial degradation

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can significantly alter the molecular structure of resins (Akhmedbekova et al., 2009;

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Minai-Tehrani et al., 2015). Fourier-transform infrared spectroscopy (FT-IR) analysis

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revealed that, during photooxidation of resins, quinone structure was produced, the

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content of carboxyl groups increased, and sulfoxide groups were oxidized

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(Akhmedbekova et al., 2009). Nevertheless, these studies only focused on the structural

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changes of resins, and whether the ecotoxicity has changed or not was unknown.

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In this study, EK-BIO technology was used to remediate soil contaminated with

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resins, and the changes of molecular structure, bioavailability, ecotoxicity and soil

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microbial activity were explored before and after the remediation process. This study

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aimed to improve the index system of petroleum-contaminated soil remediation, and to

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provide a scientific basis for the degradation of resins during the remediation process.

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2. Materials and methods

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2.1. Soil samples

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An uncontaminated soil was collected from a field in the campus of China

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University of Mining and Technology, Xuzhou, China. The soil was air-dried and sieved

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through a 20-mesh sieve. The characteristics of the soil are: pH (1:2.5 water), 6.9; sand,

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63.6 wt.%; silt, 21.5 wt.%; clay, 14.9 wt.%; cation exchange capacity (CEC), 9.6

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cmol/kg; total organic carbon (TOC), 5.3 g/kg; particle size distribution: < 2 µm 18.4%,

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2–50 µm 58.6%, 50–2000 µm 23.0%. No petroleum contamination was detected in the

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soil.

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Resins fraction was extracted from a heavy crude oil (resins content 24%) through

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the SARA method (Bissada et al., 2016). The oil was obtained from the Liaohe Oilfield,

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China. Resins was dissolved into dichloromethane and then spiked into the soil to reach

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an initial content of about 4.5 g/kg after solvent evaporation and one month of

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equilibrium.

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2.2. Microbial culture

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A microbial consortium capable of degrading crude oil was isolated by selective

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enrichment from petroleum-contaminated soil in Liaohe Oilfield, China. The strains of

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the consortium were identified as Rhizobium sp., Arthrobacter globiformis, Clavibacter

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xyli, Curtobacterium flaccumfaciens, Bacillus subtilis, Pseudomonas aeruginosa and

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Bacillus sp. respectively by means of genetic methods. The microbial culture was

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inoculated into the soil at the ratio of 2.0 ×107 colony forming units (CFU) per g soil.

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2.3. Experimental methods

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Figure 1 shows the schematic design of the experimental setup used in this study.

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The setup mainly consists of a direct-current power supply, two electrode chambers;

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two graphite electrodes, and a soil chamber. The assembly of EK test compartments was

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made of Pyrex glass. The dimension of soil chamber was 25 cm × 12 cm × 12 cm, and 2

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kg of dry soil was loaded. The dimension for electrode chambers is 10 cm × 10 cm × 10

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cm. The electrode compartments contain a filter paper, a porous plate and a perforated

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graphite electrode. To prevent soil particles from penetrating into the electrolyte

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solution reservoirs, the filter paper was placed between the soil and the porous stone and

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both were placed in front of the electrode. A direct-current power supply (RXN-303A,

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Zaoxin Instrument Co., Ltd., China) was used to maintain a constant voltage of 25 V,

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resulting in a voltage gradient of 1.0 V/cm. For all treatments, 0.01 M NaNO3 was used

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as the supporting electrolyte. The soil was saturated with 0.01 M NaNO3 solution for 24

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h before application of electrical field. Once the soil was loaded into the cell, the cell

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assembly was completed. The experiments were conducted at a room temperature, and

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all aqueous solutions were prepared using deionized water. To prevent anode

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acidification and cathode alkalization, the electrolyte pH was controlled at around 6.9

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(namely the background pH of soil) by an automatic pH controller.

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Soil samples were moistened with an inorganic medium to provide 20% (w/w)

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moisture content for nonflooded conditions. The composition of the medium is as

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follows: NaNO3 1.5 g/L, (NH4)2SO4 1.5 g/L, K2HPO4 1.0 g/L, KCl 0.5 g/L,

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MgSO4•7H2O 0.5 g/L, FeSO4•7H2O 0.01 g/L, CaCl2 0.002 g/L, pH 7.0. The medium

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was autoclaved at 121 °C for 20 min at 0.11 MPa before use.

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Table 1 summarizes the experimental setup involved in the experimental program.

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CK was a baseline test conducted to evaluate the bioremediation potential of soil

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microbial indigenous population. EK-BS was performed to evaluate the joint

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performance of EK and indigenous microbial populations. BG was aimed to reveal the

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combined influence of exogenous and indigenous microbes on pollutant removal with

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no electricity. EK-BG was carried out to investigate the effect of exogenous microbes

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on the EK system behavior.

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The experiments lasted for 60 days, carried out at room temperature (25±2 °C).

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Soil moisture content was kept at around 20% by regular addition of sterile inorganic

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medium (for EK-BS and EK-BG) or distilled water (for CK and BG). After each

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experiment of 10 days, the soil was removed from the apparatus, cut into five equal

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slices (S1–S5, from anode to cathode) and characterized for microbial parameters and

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concentration of residual contaminants.

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2.4. Analytical methods

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The soil pH was determined by using a pH meter (model pHS-3B, Shanghai

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Precision Scientific Instrument Co., Ltd., China) with a solid:water ratio of 1:2.5. TOC

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was measured by catalytic oxidation on a TOC analyzer (Shimadzu TOC-VCPH, Kyoto,

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Japan). CEC was determined after leaching of <2 mm air-dried soil with 1 M

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CH3COONH4 at pH 7.0. Soil particle size was analyzed using the pipette method

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(Miller and Miller, 1987).

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2.5. Extraction, determination and characterization of resins

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Soil samples were freeze-dried, ground and passed through 20-mesh sieve, and

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then the soil samples were extracted on an accelerated solvent extractor system (ASE

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300, Dionex, Sunnyvale, CA, USA) with dichloromethane. The extract was dried under

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N2 flow to constant final weight, and then resins content was determined

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gravimetrically.

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Resins samples were subjected to a series of instrumental analyses including

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Fourier-transform infrared spectroscopy (FT-IR), elemental analysis, and 1H nuclear

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magnetic resonance (NMR). FT-IR spectra were collected on a Nicolet 6700 FT-IR

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(Thermo Scientific Corp., Madison, WI, USA). C, H and N contents were determined

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on a Carlo-Erba model 1106 elemental analyzer (Carlo Erba, Milano, Italy). 1H NMR

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spectroscopic measurements were carried out with a Bruker 400 MHz Spectrometer

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using tetramethylsilane (TMS) as an internal standard in chloroform-d (CDCl3).

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2.6. Microbial activity analysis

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Soil bacteria were enumerated on nutrient agar plates through plate spread method

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(five replicates per sample) (Lu and Zhang, 2014). The total number of colonies was

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counted after incubation at 28 °C in the dark for 2 days, and the results were expressed

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as CFU per gram of dry soil.

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Soil basal respiration was analyzed using the MicroResp™ method and 15 carbon

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sources in addition to water (basal respiration rate control) on a Spectra Max 190

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microplate reader (Molecular Devices, Sunnyvale, CA, USA) at 570 nm (Drage et al.,

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2012).

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Microbial dehydrogenase activity (DHA) in soil samples was determined following

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the method of Lu et al. (2009), and results were expressed as µg TPF/(g soil•6 h).

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Controls were prepared with autoclaved samples (121 °C, 60 min) and treated like

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biotic samples.

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2.7. Seed germination experiments

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Wheat seed germination experiments were performed to analyze soil toxicity

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changes before and after remediation. Plumped and uniform-sized seeds were selected,

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soaked in 3% H2O2 solution for 20 min, rinsed with sterile water, and then immersed in

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sterile water for 24 h under darkness before sowing. Fifty seeds were uniformly placed

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in petri dishes, covered with the prepared soils (about 1 cm thickness), and kept in a

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growth chamber for 10 days. The details have been described previously (Chen et al.,

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2019a).

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2.8. Data analysis

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In this study, the results are reported as means ± standard deviations on the basis of

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dry weight. Statistical analysis of the results was performed with SPSS 11.0 for

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Windows (SPSS Inc.).

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3. Results and discussion

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3.1. Changes of soil physicochemical properties

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Figure 2 shows the variation of soil pH, moisture content and electroconductibility

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in different soil sections after 60 days of treatments. In CK and BG, various indexes

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changed little. In EK-BS and EK-BG, the pH profile followed the trend with pH

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increasing from 6.7 near the anode (S1) to 7.1 near the cathode (S5) [Figure 2(A)].

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Moreover, no apparent difference was observed in soil pH between EK-BS and EK-BG.

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This stable pH can be ascribed to the pH control of electrolyte. Generally, electrolysis

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reactions may cause a low pH at anode and a high pH at cathode due to the generation

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of H+ and OH– ions at anode and cathode, respectively (Chen et al., 2019b).

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The soil moisture content kept relatively stable across various sections among

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different tests [Figure 2(B)]. Basically, the moisture content was in the range of 16–22%.

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Figure 2(C) shows the distribution of soil electroconductibility after 60 days. The initial

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soil electroconductibility was 1.7 mS/cm. Soil electroconductibility decreased from S1

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to S5 in EK-BS and EK-BG whereas kept constant in CK and BG, which followed the

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same pattern as the pH of soil sections [Figure 2(C)]. Nevertheless, the difference in the

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electroconductibility of soil sections was insignificant in EK-BS and EK-BG. The

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mobility of ions under EK conditions can result in the variation of soil

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electroconductibility. Soil electroconductibility depends on pH, and high pH may reduce

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electroconductibility because of metal precipitation, whereas a lower pH can lead to a

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higher electroconductibility value due to enhanced mobility of metal ions (Chen et al.,

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2019b). In this study, the supplement of inorganic medium to the soil could alleviate

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electroconductibility alteration caused by ion migration.

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3.2. Resins removal

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Figure 3 demonstrates resins removal in the soil sections after the 60-day treatment.

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Resins was not detected in electrolyte, indicating no migration of resins under electric

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field because of its high hydrophobicity and extremely low solubility. In CK and BG,

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the concentration of resins was found to be evenly distributed throughout the soil

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column. The application of EK enhanced resins removal in the soil as compared to CK

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and BG (Figure 3). After 60 days, the average removal ratio of resins followed the order

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of EK-BG (23.6%) > EK-BS (9.3%) > BG (6.5%) > CK (1.2%). It can be seen that the

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combined application of EK and microbial inoculant has an enhanced effect on resins

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degradation, and the degradation ratio was higher than that of EK or bioremediation

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alone. The soil was artificially contaminated with resins, and effective resins-degrading

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microbial community could not evolve in a short time, thus resins removal was

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extremely low in CK (Figure 3). It is also found that the maximum removal in EK-BG

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and EK-BS was obtained adjacent to the electrodes, and the removal extents of resins

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would decrease with the distance to the electrodes. For example, the removal extent of

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resins in S3 was 15.2% and 6.4% in EK-BG and EK-BS, respectively, as compared to

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28.3% and 12.2% in S5 of EK-BG and EK-BS, respectively. These results demonstrate

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that resins could be more favourably degraded towards electrodes, and the degradation

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ability of microbes was evidently enhanced by the application of electric field.

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Due to its high hydrophobicity, resins cannot be removed by means of

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electro-osmosis, -migration or -phoresis, such that the removal of resins in EK-BG and

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EK-BS can be attributed to electrochemical oxidation. During the EK-BIO process,

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resins can be not only directly degraded by electrochemical oxidation and microbes, but

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also indirectly oxidatively broken down by chlorine, hypochlorite and hydrogen

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peroxide, which are generated by anodic reaction and water electrolysis reaction (Zhang

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et al., 2017). However, the chemical stability and microbial degradation resistance of

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resins resulted in a smaller removal extent in both EK-BG and EK-BS experiments. In

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this study, the higher removal occurring adjacent to the electrodes indicates that the

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strong electrochemical reactions appeared near the electrodes. An electric field can

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improve the mass transfer between pollutants and microbes by dispersing them, leading

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to enhanced bioavailability of soil pollutants (Wick et al., 2007). The density of electric

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field is a driving force for mass transfer in the electric field; thus, the closer to the

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electrodes, the greater the mass transfer formed (Fan et al., 2015). A better opportunity

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for interaction between pollutants and microbes in the vicinity of electrodes resulted in a

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higher resins removal extent. Resins constitutes a large and diverse class of organic

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components, and the effectiveness of biodegradation or EK alone may be limited by

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various factors. In this work, EK-BG showed a significant improvement in resins

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removal relative to other treatments, signifying a synergistic effect between

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electrokinetic and bioremediation. In addition, resins removal in EK-BG (23.6%) was

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higher than the sum value of EK-BS (9.3%) and BG (6.5%), suggesting that

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bioremediation was greatly stimulated by the electric field under the EK-BG treatment.

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This may be due to the higher microbial activity, or the enhanced interaction between

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pollutants and microbes in EK-BG.

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3.3. Phytotoxicity evaluation

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Seed germination tests have been widely used for soil phytotoxicity evaluation

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(Jiang et al., 2016). Table 2 reveals the inhibitory influences of resins on the

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germination of wheat. The control soil without resins addition and the contaminated soil

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before treatment had a germination of 98% and 47%, respectively.

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It can be found from Table 2 that the germination ratio followed the order of

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EK-BG > EK-BS > BG > CK. Moreover, the germination ratio would increase with

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approaching the electrodes. These situations were in agreement with that of resins

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removal, namely higher removal corresponded to higher seed germination ratio. It is

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also observed that the germination ratio of EK-BG was close to that of uncontaminated

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soil, though EK-BG exhibited a low resins removal (averagely 23.6%). This indicates

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that soil phytotoxicity can be efficiently reduced by resins degradation in EK-BG.

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3.4. Microorganism and its activity in soil

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Figure 4(A) shows the change of bacterial population in different regions of soil

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specimen during remediation. The initial bacterial number (namely after one month of

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equilibrium) was about 3.5×106 and 2.3×107 CFU/g soil in uninoculated (CK and

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EK-BS) and inoculated (EK-BS and EK-BG) soils, respectively. As shown in Figure

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4(A), the difference of bacterial density in different sampling points after remediation

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was basically consistent with the trend of resins removal ratio. EK-BG showed the

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highest bacterial density among the five cases. A general increase in soil bacterial

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density was also observed relative to the initial situations [Figure 4(A)], which was due

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to nutrient stimulation in this work. These findings suggest that the increase of

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microbial populations was related to the decrease of soil resins content, and the growth

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and reproduction of microbes could be promoted by direct current electric field. The

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transport and distribution of microbes in soil column under electric field depend on

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many factors such as electrophoresis, electroosmosis, and nutrient flow (Dong et al.,

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2013). Because of their negatively charged surfaces, bacteria have a negative

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electrokinetic potential and bacterial movement towards anode would occur because of

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electrical attraction between anode and bacteria (electrophoresis) (Dong et al., 2013).

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Moreover, bacteria may migrate toward cathode along with electroosmotic flow (EOF)

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through soil (electroosmosis). Under electric field, ions and water in soil were migrated

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toward the cathode by EOF, leading to favorable conditions for bacterial growth in the

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region adjacent to the cathode. Thus, the final bacterial distribution in soil column came

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from the competition between electrophoresis, electroosmosis, and nutrient flow.

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Figure 4(B) exhibits the change of soil basal respiration in different regions of soil

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specimen during remediation. Generally, the basal respiration values were in the order:

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EK-BG > EK-BS > BG > CK >initial. The basal respiration was highest in S5 of

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EK-BG [38.2 µg CO2-C/(g soil•h)], which was 2.3 and 1.8 times that of initial value

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[16.6 µg CO2-C/(g soil•h)] and BG [21.2 µg CO2-C/(g soil•h)]. Soil basal respiration is

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the sum of all metabolic processes that produce CO2, and it is a good indicator of

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organics decomposition and changes in soil environment under pollution stress.

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DHA is recognized as an important index of soil microbial activity, being capable

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of catalyzing the oxidation of organic compounds by transferring protons and electrons

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(Garcia et al., 1997). The variations of DHA in the experiments before and after 60 days

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of treatment are presented in Figure 4(C). The average DHA in EK-BG was higher than

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that in other experiments after 60 days of treatment. At the end of the experiments, the

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average DHA was 77.3, 52.1, 37.8 and 22.5 µg TPF/(g soil•6h) in EK-BG, EK-BS, BG

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and CK, respectively. The soil DHA increased significantly after 60 days of treatment (P

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< 0.01). Sampling site S3 was the least influenced by the electrochemical reaction and

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was located in the weakest electric field intensity area; therefore, the soil DHA was

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slightly lower than those at other sites with no significant differences. Sampling sites S1

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and S5 were closer to the electrodes, and the generation of oxidizing and reducing zones

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near the electrodes could provide beneficial conditions for the degraders (Lohner et al.,

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2011).

312

It can be seen from the changes of bacterial density, basal respiration and DHA

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[Figure 4(A), (B) and (C)] that the activity of microbes in the soil after remediation was

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significantly increased, and the trend was basically consistent with the removal ratio of

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resins, indicating that the ecotoxicity of the soil after remediation was effectively

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reduced. Bacterial cell respiration can be enhanced by anodic oxygen generated by

317

electrolysis (Fan et al., 2015). The generation of anodic oxygen might elevate dissolved

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oxygen level in the soil, and enhance the respiration of microbes and indirectly increase

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the redox level of soil, thus stimulating DHA and improving the biodegradation of

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resins.

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3.5. FT-IR analysis of resins

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FT-IR spectral analyses of resins are shown in Figure 5. Frequencies and probable

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assignments of each peak of the spectra are shown in Table 3. It can be seen from Figure

324

5 that the peak intensities for the characteristic region of CH2 and CH3 groups (2920,

325

2853, 1461, 1376 and 756 cm–1 wavenumbers) declined, indicating the shortening of

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resins carbon chains. The peak intensities at 1710 and 1215 cm–1 decreased obviously

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after treatment, demonstrating the reduction of carboxyl and phenolic groups. The peak

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intensities at 1605 and 868 cm–1 (the characteristic regions of aromatic and heterocyclic

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rings) also declined, suggesting that the aromatic and heterocyclic rings of resins were

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opened or degraded into saturated rings during remediation. A new peak occurred at

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1030 cm–1 after remediation, indicating the formation of new functional groups such as

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R–OH and aromatic–O–R.

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3.6. Elemental analysis of resins

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Elemental analysis was conducted on the resins in S5 of EK-BG before and after

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60 days of treatment. Results show that the mass fractions of C, H, and N were 74.86%,

336

9.315% and 0.848% respectively for the untreated sample, and 68.02%, 10.52% and

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0.783% respectively for the treated sample. After remediation, the mass fraction of C

338

declined whilst that of H increased, and the C/H ratio decreased from 8.03 to 6.47. This

339

indicates that some unsaturated rings of resins were degraded into saturated ones,

16

340

leading to the decrease in unsaturation of resins. On the basis of the mass fractions of C,

341

H, and N, it can be calculated that the average chemical formula of resins was

342

C103H153N and C101H187N for the untreated and treated samples, respectively.

343

3.7. 1H NMR analysis

344

To study the structure changes of resins, 1H NMR analysis was performed on the

345

resins in S5 of EK-BG before and after 60 days of treatment. On the basis of the

346

assignment of protons in 1H NMR spectrum (Chen et al., 2009), the percentages of

347

integrated areas were obtained, as listed in Table 4. Aromaticity fA and aromaticity

348

condensation HAU/CA were obtained using Eqs. (1) and (2), as demonstrated (Chen et al.,

349

2010):

CT / H T − ( H α + H β + H γ / 2 H T ) CT / H T

350

fA =

351

H AU H A / H T + Hα / 2 H T = CA CT / H T − ( H α + H β + H γ ) / 2 H T

(1)

(2)

352

where CT and HT represent the total C and H, respectively, HT = HA+ Hα+ Hβ+ Hγ;

353

CT/HT is the C/H ratio.

354

It is easy to see from Table 4 that the percentage of HA and Hα decreased whilst

355

that of Hβ and Hγ increased after treatment, namely the percentage of H atoms in

356

aromatic rings declined. Moreover, the aromaticity and aromaticity condensation of

357

resins decreased after treatment. The decrease of the former could be caused by the

358

hydrogenation of unsaturated groups while that of the latter could be attributed to the

359

ring-opening of the aromatic system.

17

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4. Conclusions

361

The present study has demonstrated that the efficiency of resins degradation was

362

stimulated by the electric field and bioaugmentation in the coupled technology of

363

EK-BIO, signifying a synergistic effect between electrokinetic and bioremediation. The

364

contribution of inoculated microbes was higher than that of indigenous counterparts in

365

the degradation of resins, and the contribution of electrokinetic was higher than that of

366

microbes in the degradation of resins. Microbial enumeration, dehydrogenase activity

367

and soil basal respiration were related to resins removal in the soil. The results of

368

instrumental analysis indicate that there were significant structural changes in the resins

369

molecules after undergoing EK-BG treatment. According to the components analysis, a

370

considerable proportion of resins still remained in the soil, though the soil phytotoxicity

371

significantly declined. Thus, a better understanding of the interactions among

372

bioremediation, electrokinetic and the variation in resins is necessary, as this may

373

provide a theoretical basis for the regulation of the EK-BIO process, helping to improve

374

the degradation level of resins.

375

Acknowledgement

376

This work was supported by the National Natural Science Foundation of China

377

(no.51974313, 41907405) and the Natural Science Foundation of Jiangsu Province

378

(no.BK20180641).

379

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380

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22

Table 1

The experimental setup used in this study.

Group

Abbreviation

Voltage (V)

Inoculation

Control blank Electrokinetic biostimulation Bioaugmentation Electrokinetic-bioaugmentation

CK EK-BS BG EK-BG

– 25 – 25

No No Yes Yes

1

Table 2 Wheat seed germination ratios in resins-spiked soils across various sections after 60 days of treatments. Treatment

S1

S2

S3

S5

S5

CK EK-BS BG EK-BG

48% 75% 62% 90%

48% 71% 62% 84%

48% 66% 62% 77%

48% 72% 62% 85%

48% 77% 62% 92%

2

Table 3

FT-IR frequencies for the investigated samples and assignment Wavenumber (cm–1)

Assignment

Probable group

3000–2850 1710 1605 1461 1376 1260, 1215 1190 1030 868, 812 756

νCH νC=O νC=C, βNH δ(σ)CH2 δCH3 νC–O, νC–N γC–O νC–O, νC–N γCH ρCH2

CH2, CH3 COOH, COOR Aromatic rings, heterocyclic rings, NHR –CH2– –CH3– COOH, aromatic–OH, aromatic–NH R1–O–R2 R–OH, aromatic–O–R, RCH2NH2 Aromatic rings, heterocyclic rings –CH2–

3

Table 4 Results of 1H NMR of resins in S5 of EK-BG before and after 60 days of treatment. Untreated Treated

HA(%)

Hα(%)

Hβ(%)

Hγ(%)

fA

HAU/CA

5.18 2.06

15.73 8.75

57.02 60.25

22.07 28.94

0.292 0.103

0.338 0.826

4

Figure 1. Schematic diagram of the experimental set-up for the remediation system.

1

CK

8

EK-BS

BG

EK-BG

(A)

Soil pH

6

4

2

0 S1

S2

S3

S4

S5

Soil section (from anode)

CK

25

EK-BS

BG

EK-BG

(B) Soil moisture content (%)

20

15

10

5

0 S1

S2

S3

S4

S5

Soil section (from anode)

CK

Soil electroconductibility (mS/cm)

8

EK-BS

BG

EK-BG

(C)

6

4

2

0 S1

S2

S3

S4

S5

Soil section (from anode)

Figure 2. Variation of (A) pH, (B) moisture content and (C) electroconductibility in soil sections across various tests after 60 days of treatments.

2

CK

30

EK-BS

BG

EK-BG

Resins removal (%)

25

20

15

10

5

0 S1

S2

S3

S4

S5

Soil section (from anode)

Figure 3. Resins removal in soil sections across various tests after 60 days of treatments.

3

(A)

Bacterial density (log CFU/g soil)

10

S1

S2

S3

S4

S5

8

6

4

2

0

Soil basal respiration [µg CO2-C/(g soil.h)

Initial uninoculated

40

(B)

Initial inoculated

S1

CK

EK-BS

BG

EK-BG

Tests

S2

S3

S4

S5

30

20

10

0 Initial uninoculated

Initial inoculated

CK

EK-BS

BG

EK-BG

Tests

100

(C)

S1

S2

S3

S4

S5

Soil DHA [µg TPF/(g soil.6h)

80

60

40

20

0 Initial uninoculated

Initial inoculated

CK

EK-BS

BG

EK-BG

Tests

Figure 4. Soil bacterial density (A), basal respiration (B), and DHA (C) before and after 60 days of remediation across various soil sections (S1-S5). For simplicity, only one value was demonstrated for CK and BG since the difference among various soil sections was negligible. 4

Figure 5. FT-IR spectral analysis of resins in S5 of EK-BG before and after 60 days of treatment.

5

Highlights



Soil toxicity was significantly reduced after treatment



The structure of resins was altered during treatment



Soil microbial activity was positively related to resins degradation

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Declaration of interests ☑ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: