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Improving the dewaterability of sewage sludge using rice husks and Fe2+-sodium persulfate oxidation Qiao Xiong, Min Zhou, Hong Yang, Mengjia Liu, Teng Wang, Yiqie Dong, and Haobo Hou ACS Sustainable Chem. Eng., Just Accepted Manuscript • DOI: 10.1021/ acssuschemeng.7b03227 • Publication Date (Web): 17 Nov 2017 Downloaded from http://pubs.acs.org on November 20, 2017
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Improving the dewaterability of sewage sludge using
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rice husks and Fe2+-sodium persulfate oxidation
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Qiao Xionga, Min Zhoua,b, Hong Yangc, Mengjia Liua, Teng Wanga,c, Yiqie Donga, Haobo Houa,b* a
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School of Resource and Environment Science, Luojiashan street, Wuchang district, Wuhan
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University, Wuhan 430072, P.R. China b
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Hubei Environmental Remediation Material Engineering Technology Research Center,
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Luojiashan street, Wuchang District, Wuhan 430072, P.R. China c
CSIC Environment Engineering Co. Ltd., Zhongshan Road, Wuchang District, Wuhan 430072,
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P.R. China
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E-mail addresses:
[email protected] (Q. Xiong),
[email protected] (M. Zhou),
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[email protected] (Y. Hong),
[email protected] (T. Wang),
[email protected] (M.
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Liu),
[email protected] (Y. Dong),
[email protected] (H. Hou)
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Abstract
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Physical conditioners or skeleton builders are usually used to improve the dewaterability of
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sewage sludge. In this study, low-cost rice husk (RH) was evaluated as an alternative skeleton
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builder and combined with Fe2+ and sodium persulfate (SPS) for sewage sludge conditioning.
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The results show that the sewage sludge conditioned with RH and Fe2+/SPS showed good
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dewaterability, and the capillary suction time (CST) was reduced by 92.8 % under optimal
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conditions. Using response surface methodology (RSM), the optimal composite conditioner
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concentrations were 151.5 mg/g dry solid (DS) of SPS, 46 mg/g DS of Fe2+ and 333 mg/g DS of
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RH. After conditioning with Fe2+/SPS, some extracellular polymeric substances (EPS) were
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destroyed, which resulted in the dissolved protein and polysaccharide amounts in the filtrate
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increasing. The water content analysis indicated the bound water was converted to free water
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because of the EPS degradation. The particle size analysis showed that the sludge flocs became
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smaller. After the addition of RH, the sludge formed a stratified, porous structure that improved
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the sludge compressibility and provided outflow passages for free water, which enhanced the
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sludge dewaterability. These results indicated that combining persulfate oxidation with RH
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conditioning is a promising strategy to improve sludge dewaterability.
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KEYWORDS Skeleton builder; Sewage sludge; Dewaterability; Persulfate oxidation;
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Compressibility
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INTRODUCTION
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With the increase in sewage treatment plants in China, the amount of sewage sludge will
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increase to 60 million tons per year (the water content of sewage sludge is 80 %) by the year
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2020.1 The sewage sludge byproduct will cause serious environmental pollution without proper
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treatment and disposal. In addition, in sludge treatment, usage, and disposal, dewatering of
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sewage sludge is a vital step to reduce the volume of the sludge.2 The volume of the sludge can
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be reduced to one twentieth of the original sludge volume if the moisture content is reduced from
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98 % to 60 %. The physical-chemical parameters of the sludge, such as the floc structure, surface
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charge, bound water content and hydrophobicity, can influence the sludge dewaterability.3 Based
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on these factors, researchers have proposed new technologies to achieve low moisture contents in
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sewage sludge to fulfill more stringent disposal regulations.4 Two common approaches are to
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reduce the bound water in sludge and to enhance the sludge compressibility.5
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Extracellular polymeric substances (EPS) are the main constituents of sludge flocs and are
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recognized as the key to sludge dewaterability because their degradation can release bound
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water.6 Activated persulfate oxidation, an advanced oxidation process (AOP), has been
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demonstrated to be a promising advanced sludge treatment method to degrade EPS, and it has the
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advantages of high solubility, strong oxidizing potential, wide operative pH range and slow
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consumption rate.7 Persulfate can generate a strong and non-selective oxidant sulfate radical
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(SO4•−, E0 = 2.6 V) that is activated by heat,8 UV,9 and transition metal ions.10 Ferrous iron
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(Fe2+) is commonly used to activate persulfate. The following equations show the reactions
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between persulfate and Fe2+: 11
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+ 2 → + ·– + (1)
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·– + → +
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(2)
Excess Fe2+ will consume the generated sulfate radicals via Eq. (2) and lead to an ineffective oxidizing ability. Therefore, the amount of Fe2+ must be strictly controlled.
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To increase the sludge compressibility, physical conditioners, including fly ash and lime,12
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lignite,13 wood chips and wheat dregs14 and gypsum,15 are used as skeleton builders. Rice or
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paddy is cultivated in more than 75 counties throughout the world, and the rice husk (RH), which
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is the outer cover of the rice grain, is present in large quantities and considered solid agricultural
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waste.16 RH disposal poses a serious environmental problem. Due to the differences in the rice
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type, crop year, climate and geographical conditions, the chemical compositions of RH vary.17 In
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general, RH contains large amounts of amorphous silica.18 With the increase in public awareness
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of sustainable development, utilization of renewable resources is increasing.19 RH has received
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attention from many researchers as a type of biomass.20-22 Shi et al.23 investigated the effect of
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RH on the hydrothermal treatment of sewage sludge, and the results indicated that the addition of
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RH can reduce the concentration of heavy metals. Wu et al.24 used RH biochar modified with
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FeCl3 (MRB-Fe) to enhance sludge dewaterability, and they discovered that MRB-Fe maintained
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a certain skeleton structure in the sludge cake, which allowed moisture to easily pass through.
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Thus, RH has potential as an economic skeleton builder for sludge dewatering.
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In this study, RH was utilized as a novel skeleton builder in combination with Fe2+/SPS
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oxidation as a novel technique to improve sludge dewaterability. The schematic of this study is
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shown in Fig. 1. The objectives of this study were: (1) to optimize the concentrations of SPS,
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Fe2+ and RH to achieve the highest CST reduction efficiency; (2) to evaluate the dewaterability
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of the conditioned sludge using RH as a novel skeleton builder; (3) to investigate the dewatering
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process of the composite conditioner in terms of the EPS, bound water content, particle size,
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specific surface area, zeta potential and microstructure of the sludge.
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Fig. 1. Schematic of the study.
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METHODS
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Materials
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The raw sludge (RS) used in this study was a mixture of sludge from the primary and
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secondary sedimentation tanks of the Luobuzui Wastewater Treatment Plant, Wuhan, China.
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Municipal wastewater (315,000 m3/d) is treated in this plant with a daily sludge (80 % water
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content) production of 60~70 t/d. RS samples were collected in polypropylene containers and
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stored at 4 °C in a refrigerator. Before the experiments, the RS was taken out of the refrigerator
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and placed in environmental conditions until the temperature reached room temperature. The
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characteristics of the RS were tested according to standard methods (US EPA1995). The main
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characteristics of the RS are shown in Table 1. The RH was collected from Wuhan, Hubei. First,
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the RH was dried in an oven at 105 °C for 5 h to ensure complete dehydration. Then, the RH was
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ground using a ball mill (XQM-4L) for 10 min at 3500 rpm. Finally, the RH was sieved through
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a 0.5 mm sieve, washed with deionized water, and dried at 105 °C for 5 h prior to use in the
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following experiments. The inorganic elemental compositions (Si, Al, Fe, K and Na) of the RS
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and RH were analyzed using an X-ray fluorescence (XRF) analyzer (S4 Pioneer, Bruker AXS).
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The major inorganic oxide contents in the RS and RH are shown in Table 2.
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Sodium persulfate (SPS) (Na2S2O8, purity>99.9 wt.%) and ferrous sulfate (FeSO4·7H2O,
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purity>99.9 wt.%) were analytical reagent grade (Sinopharm Chemical Reagent, China) and
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were used without further purification. The SPS and Fe2+ solutions were freshly prepared
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immediately prior to the experiments. Deionized water was used for all the experiments.
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Table 1. The main characteristics of the RS. Parameter Value
Moisture (%) 80.2±2.22
pH 7.0±0.82
Organic content CST (s) (%) 45.3±0.89 165±2.08
103 104
Table 2. Analysis of the main oxides (%) in RS and RH. Sample SiO2
MgO
Fe2O3 Na2O
CaO
Al2O3 K2O
P2O5
Cl
SO3
RS
48.83 2.15
7.57
0.78
4.38
23.47
2.46
6.25
0.10
2.61
RH
73.50 1.00
0.47
0.34
1.30
13.22
5.58
1.79
1.06
1.65
105 106
Sludge conditioning
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The RS was transferred to 500 mL beakers and stirred for 30 min to ensure the sludge particles
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were evenly mixed with the water. Then the RS was conditioned using the following procedure:
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SPS addition → 150 rpm stirring for 5 min → addition of Fe2+ → 150 rpm stirring for 5 min →
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addition of RH → 150 rpm stirring for 10 min.
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After the conditioning, the conditioned sludge was centrifuged for 20 min and filtered through
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a 0.45 µm membrane filter, and the supernatant was collected for use. The sludge cakes were
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dried at 105 °C for 24 h and used for the mechanism investigation. The experimental setup of the
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sludge conditioning system is shown in Fig. 2.
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CST and settling property
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The CST (capillary suction time) and settling property were used to evaluate the sludge
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dewatering performance. The CST was measured using a 304 M CST instrument (Triton, UK).
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The CST reduction efficiency (Y) was calculated as follows: Y
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CSTb (s) is the initial CST of the RS, and CSTa is the CST of the sludge after the conditioning.
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The settling property was determined via the following procedure: 100 mL of the raw and
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conditioned sludge was transferred to a measuring cylinder, and the interface position was
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recorded every 10 min for 90 min.
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Fig. 2. Schematic diagram of the experimental setup.
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RSM design
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A Box–Behnken design25 was used to optimize the concentrations of SPS, Fe2+ and RH. Table
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3 shows the ranges and levels of these three constituents, which were defined using preliminary
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tests. The CST reduction efficiency was considered the response. Seventeen runs were required
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for a complete set of the experimental design, as shown in Table 4, and the experimental results
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were analyzed using the Design Expert 8 software. The criteria for the factors and the response
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set for the optimization are presented in Table 5. The goal of the optimization was to maximize
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the CST reduction efficiency.
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Table 3. Ranges and levels of the factors in the optimization experiments using the Box-
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Behnken design. Coded variable level Independent variable
Symbol
Low
High
-1
1
SPS concentration (mg/g DS)
X1
100
200
Fe2+ concentration (mg/g DS)
X2
20
60
RH concentration (mg/g DS)
X3
200
500
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Table 4. Seventeen Box–Behnken design experiments.
Experimental design X1 Experiment number SPS concentration (mg/g DS)
X2
1
0
-1
Response X3
Fe2+ RH concentration concentration (mg/g DS) (mg/g DS) 1
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55.7
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0
0
0
65.2
3
0
1
1
55.0
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0
0
0
41.0
5
-1
1
0
81.0
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1
0
1
55.0
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0
-1
1
50.0
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0
0
0
85.0
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1
1
0
90.5
10
1
0
-1
75.0
11
0
-1
-1
85.0
12
-1
-1
0
88.0
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0
1
-1
90.0
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0
0
0
82.0
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1
-1
0
85.0
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-1
0
-1
85.0
17
0
0
0
84.3
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Table 5. Criteria for the factors and the responses for the optimization. Variable
Goal
Lower limit
Upper limit
Importance
X1, SPS concentration (mg/g DS)
In range
100
200
3
X2, Fe2+ concentration (mg/g DS)
In range
20
60
3
X3, RH concentration (mg/g DS)
In range
200
500
3
CST reduction efficiency (%)
Maximize
–
–
3
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Conditioning mechanism investigation
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A set of experiments with different formulations was conducted (Table 6) to elucidate the roles
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of each constituent and the influence of the temperature. The concentrations of the constituents
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were obtained from the RSM optimization study. RS was used as the control. As shown in Table
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6, the sludges conditioned with RH at 25 °C; SPS and Fe2+ at 25 °C; SPS, Fe2+ and RH at 25 °C;
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SPS, Fe2+ and RH at 52 °C; and SPS, Fe2+ and RH at 80 °C are labeled RH25, SF25, SFR25,
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SFR52 and SFR80, respectively. The RS and conditioned sludges were analyzed for the CST
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reduction efficiency, settling property, EPS content, bound water content, particle size, specific
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surface area, zeta potential and microstructure.
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EPS extraction and analysis
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To evaluate the influence of EPS on the sludge dewaterability, soluble EPS (S-EPS) and bound
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EPS (B-EPS) were extracted using a modified heat method.26 First, the conditioned sludge was
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centrifuged in a 50 mL tube at 4000 rpm for 5 min. The liquid supernatant was collected, and the
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sludge cake was used for the B-EPS extraction. Test samples were passed through a 0.45 µm
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membrane before analysis. All the S-EPS and B-EPS were analyzed for protein (PN) and
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polysaccharide (PS) contents. The PN content was analyzed using the modified Lowry method
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with bovine serum albumin.27 The PS content was analyzed using the anthrone method with
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glucose as the standard.28
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Particle size and specific surface area
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The particle sizes of the RS and the conditioned sludges were measured using a BT-9300ST laser particle size analyzer (Bettersize, China). The specific surface areas and pore structures of the samples were measured using a nitrogen
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adsorption apparatus (BELSORPmini, BEL, Japan).
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Bound water content measurements
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Thermogravimetric (TG) and differential scanning calorimetry (DSC) were performed to
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determine the amount of total and bound water in the sludge cakes. Briefly, the RS and the
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conditioned sludges were centrifuged at 4000 rpm for 10 min. Centrifuged sludge cakes were
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obtained and used for the following analysis. A thermal analyzer (STA449c/3/G, NETZSCH,
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Germany) was used to record the TG thermographs of the sludge cake. Pure N2 was used as the
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carrier gas. The sludge weight loss as the temperature increased from 30 to 150 °C was regarded
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as the total amount of water (Wt).5 The bound water content was determined using a Q2000 DSC
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analyzer (TA, USA). DSC curves were obtained by fast cooling the samples from room
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temperature to –20 °C and then reheating them to 10 °C at a rate of 2 °C/min. The amount of
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free water (Wf) was calculated using the following formula: Wf = Q/∆H, where Q is the heat
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absorbed during the melting process, and H is the melting enthalpy of free water (∆H = 333.3
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J/g). The bound water (Wb) was calculated by Wb = Wt – Wf.29-30
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Microstructural analysis
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The morphology of the sludge cake samples was observed by field emission scanning
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electronic microscopy (FESEM, Sigma ZEISS).
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Table 6. Different conditioning procedures for sludge.
Symbol
Conditioners
Temperature (oC)
Concentration (mg/g DS) SPS Fe2+ RH
Conditioning procedures
RS
None
25
0
0
0
150 rpm/30 min
RH25
RH
25
0
0
333
150 rpm/30 min→RH→150 rpm/15 min
SF25
SPS/Fe
25
152
46
0
150 rpm/30 min→SPS→150 rpm/5 min→Fe2+ solutions→150 rpm/5 min
SFR25
SPS/Fe2+/RH
25
152
46
333
150 rpm/30 min→SPS→150 rpm/5 min→Fe2+ solutions→150 rpm/5 min→RH→150 rpm/10
2+
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min SFR52
SFR80
2+
SPS/Fe /RH
2+
SPS/Fe /RH
52
152
80
152
46
46
333
150 rpm/30 min→SPS→150 rpm/5 min→Fe2+ solutions→150 rpm/5 min→RH→150 rpm/10 min
333
150 rpm/30 min→SPS→150 rpm/5 min→Fe2+ solutions→150 rpm/5 min→RH→150 rpm/10 min
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RESULTS AND DISCUSSION
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RSM optimization results
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Experimental results were evaluated using the Box-Behnken design to yield approximate
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functions for the dependent variable, the CST reduction efficiency (Y). The following fitting
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polynomial Eq. (3) was obtained from the data fitting.
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Y
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91.6 + 2.25 + 15.88 – 1.88 + 0.75 – 1.25 +
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5.00 – 21.8 – 20.55 – 16.05
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where X1, X2, and X3 are the coded values of the concentrations of SPS, Fe2+ and RH,
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respectively.
(3)
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Table 7 illustrates the variance regression model analysis for the CST reduction efficiency. The
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model F value is 99.64, and the value of “Prob > F” is less than 0.0001, which indicates that the
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model is significant. In addition, the “lack of fit F value” is 3.28, and the lack of fit is not
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significant relative to the pure error. A non-significant lack of fit indicates the model is good.
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Fig. 3 shows that the R2 for the experimental and predicted values is 0.9923. Thus, the model can
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reliably describe the behavior of the composite conditioner for sludge dewaterability. The value
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of “Prob > F” is less than 0.0500, which indicates the model terms are significant. Therefore, X1,
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X2X3, X12, X22, and X32 are the significant model terms in this case.
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The goal of the optimization was to determine the concentrations of SPS, Fe2+ and RH to
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achieve the highest CST reduction efficiency. To achieve this goal, the optimal coded values of
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the factors were X1 = 0.176, X2 = 0.371, and X3 = 0.035. Accordingly, the concentrations of SPS,
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Fe2+ and RH were 151.5, 46, and 333 mg/g DS, respectively.
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To validate the accuracy of the model, three validation experiments were carried out under the
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optimal conditions. The CST reduction efficiency results were 92.5, 93.2 and 95.5 %,
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respectively, which showed the reliability of the model.
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Fig. 4 shows the three-dimensional response surfaces generated using Design Expert. The third
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factor was maintained at the zero level when the interactions of the other two variables were
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discussed. Fig. 4a shows that the CST reduction efficiency significantly increased when the RH
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and SPS concentrations increased in the ranges of 125-175 mg/g DS and 275-425 mg/g DS,
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respectively. Higher concentrations of RH and SPS had a negative impact on the sludge
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dewatering performance. Fig. 4b demonstrates that at a low Fe2+ concentration, an increase in the
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RH concentration had a slight effect on the CST reduction efficiency. At a high Fe2+
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concentration, the CST reduction efficiency sharply increased as the RH concentration increased
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within the range of 200-400 mg/g DS. Fig. 4c shows that the Fe2+ and SPS concentrations have a
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strong synergistic effect on the CST reduction. An increase in the SPS concentration can
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improve the CST reduction efficiency in a certain range, and beyond that range, a lower CST
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reduction was obtained.
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Table 7. Analysis of the variance regression model for the CST reduction efficiency Source
Sum of df Squares
Mean Square
F Value
p-value Prob > F
Model
7616.31
9
846.26
99.64
SFR80. In contrast, the bound water
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content is in the reverse order. The SFR80 conditioned sludge can reduce the bound water in RS
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from 0.145 to 0.037 g/g. The results agree with the sludge dewatering performance, as shown in
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Fig. 5, which indicated that the improvement in the sludge dewatering performance was
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accompanied by a reduction in the bound water in the sludge.
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Table 8. Water composition of the RS and the conditioned sludges. RS Total (g/g)
RH25
SF25
SFR25
SFR52
SFR80
0.746
0.733
0.683
0.638
0.637
0.635
0.630
0.623
0.634
0.591
0.600
water 0.145
0.116
0.110
0.049
0.047
0.037
water 0.780
Free water (g/g) Bound (g/g) 264
265 266
Fig. 7. TG curves of the RS and the conditioned sludges.
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Fig. 8. DSC thermograms of the RS and the conditioned sludges.
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Effect of the composite conditioner on the zeta potential
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The zeta potentials of the RS and the conditioned sludges were analyzed to determine the
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colloidal stability, which plays an important role in sludge dewatering. The evolution of the
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surface charge in terms of the zeta potential is shown in Fig. 9. The sludge was originally
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negatively charged with a –21.00 mV zeta potential at 25 °C. The use of RH causes a small
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increase in the negative charge (–23.7 mV), which implied that RH alone was not an effective
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conditioner for sludge dewatering. After conditioning with SF25, the zeta potential sharply
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increased from –21.00 mV to –5.23 mV at 25 °C. In addition, after adding RH as a skeleton in
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the SF conditioner, the zeta potential increased from –5.23 mV to –2.59 mV at 25 °C, –1.001
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mV at 52 °C and –0.373 mV at 80 °C. The results indicated that the adoption of SFR could
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increase the zeta potential by neutralizing the negative surface charges, and a higher temperature
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can increase the impact. A decrease in the sludge negative charge corresponds to a reduction in
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repulsions and improves the sludge dewaterability.32 After conditioning with SFR, the zeta
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potential was nearly 0 mV, which favors sludge dewatering. The results present a consistent
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evolution profile for the sludge dewatering performance, as shown in Fig. 5.
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284 285
Fig. 9. Zeta potential of the RS and the conditioned sludges.
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Effect of the composite conditioner on the particle size
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The particle size distributions of the RS and the different conditioned sludges were determined
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to investigate the particles, and the results are shown in Fig. 10. The particle size of the sludge
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conditioned by RH (39.13 µm) was larger than that of the RS (32.8 µm). After conditioning with
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SPS and Fe2+ (SF) at 25 °C, the change in the average median particle size of the sludge can be
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neglected. However, after conditioning with SPS, Fe2+ and RH (SFR) at 25 °C, 52 °C, and 80 °C,
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the average particle sizes of the sludge decreased to 28.76 µm, 29.67 µm and 26.88 µm,
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respectively. This may be due to the combination of the RH and Fe2+/SPS oxidation degrading
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the organics in the sludge flocs into smaller molecules via the highly reactive sulfate radical and
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the destruction of the EPS structure and breakage of the dense sludge flocs into smaller particles,
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which can result in a better sludge dewaterability and agrees with the zeta potential results in Fig.
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9. In addition, the particle size of the sludge did not change substantially with the different
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treatment temperatures, which implied that the dewaterability was stable for the three different
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mild temperatures. Thus, SFR is an effective and alternative composite conditioner for sludge
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dewatering.
301 302
Fig. 10. Particle size distributions of the RS and the conditioned sludges.
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Effect of the composite conditioner on the specific surface area
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As shown in Table 9, the specific surface areas of the RS and RH25 were relatively large,
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12.59 and 9.51 m2/g, respectively. The specific surface areas of the SF25, SFR25, SFR52, and
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SFR80 conditioned sludges were comparatively smaller, 3.93, 2.26, 2.01 and 2.69 m2/g,
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respectively. A relatively large specific surface area has been reported to be associated with a
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large amount of water, which is hard to dewater.29 The lower specific surface area of the sludge
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flocs was attributed to a decrease in the associated water and an improvement in the sludge
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dewatering. Considering the sludge dewatering performance results in Fig. 5, the sludge with a
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smaller specific surface area shows a better sludge dewatering performance. In addition, Table 9
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shows that the pore volume also decreased, which may due to a reduction in the interlayer water
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in the sludge flocs. The average pore size of the sludge increased from 19.25 nm to 34.52 nm
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after conditioning with SPS, Fe2+ and RH (SFR25). The large pores in the sludge can provide
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channels for water flow and improve the permeability of the sludge. These textural parameters of
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the sludge cakes are consistent with the above analysis.
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Table 9. Textural parameters of the RS and the conditioned sludges. Sample BET surface area (m2/g) Pore volume (cm3/g) Average pore size (nm) RS
12.59
0.061
19.25
RH25
9.51
0.048
20.01
SF25
3.93
0.032
32.42
SFR25
2.26
0.021
34.52
SFR52
2.01
0.018
36.62
SFR80
2.69
0.023
33.69
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Effect of the composite conditioner on the microstructure of the sludge
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Fig. 11 shows the FESEM images of the RS and the conditioned sludges. As shown in Fig.
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11(a), the RS structure is plate-like and not porous, and many irregular particles can be observed
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on the plate. The RH25 image shows only a few differences, which can be neglected. After
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conditioning with SF25, the plate was clear, and a porous structure was achieved. Fig. 11(d), (e)
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and (f) show that the SFR structure is a stratified structure, and channels and pores exist between
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the lamellae for free water to pass through. In addition, Fig. 11(f) shows more agglomeration of
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the sludge flocs at 80 °C, leading to a high-definition, porous structure, which favors sludge
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dewaterability.33 The SEM results were supported by the particle size analysis.
328 329
Fig. 11. FESEM images of the RS and the conditioned sludges: (a) RS, (b) RH25, (c) SF25, (d)
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SFR25, (e) SFR52, and (f) SFR80.
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Based on these results and analyses, a mechanism was proposed. The generated persulfate
332
sulfate radical was activated by Fe2+, which led to EPS degradation and the release of bound
333
water, as shown in Fig. 6 and Table 8. The large sludge floc particles were degraded into smaller
334
particles, as shown in Fig. 10. The RH addition enhanced the sludge compressibility and allowed
335
the free water to more easily flow, as illustrated in Fig. 5 and Fig. 11, which enhanced the sludge
336
dewaterability.
337 338
CONCLUSIONS
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The joint application of Fe2+/SPS combined with RH as a skeleton builder was successfully
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demonstrated to be effective for sewage sludge dewatering, which indicated RH is a suitable,
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alternative skeleton builder. After the RSM optimization, the optimal concentrations of the
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composite conditioner were 151.5 mg/g DS of SPS, 46 mg/g DS of Fe2+ and 333 mg/g DS of
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RH, and under these conditions, a CST reduction efficiency of 92.8 % was achieved. The
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mechanism investigation indicated that the high dewaterability of the conditioned sludge can be
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mainly ascribed to the synergistic effect of Fe2+/SPS and the RH. First, the EPS degraded into
346
dissolved organics (polysaccharides and proteins), which resulted in the conversion of bound
347
water into free water. Second, the addition of the RH created a stratified, porous structure in the
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sludge, and this structure contains outflow passages for free water. Based on the results of the
349
present investigation, the Fe2+/SPS-RH composite conditioner is a promising candidate for
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improved sludge dewaterability.
351 352
AUTHOR INFORMATION
353
Corresponding Author
354
*Corresponding author Tel.: +86 18771025991
355
Notes
356
The authors declare no competing financial interest.
357
ACKNOWLEDGMENTS
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This work was financially supported by the major scientific and technological innovation subject
359
in the Hubei province, China (No. 2016ACA162).
360 361
REFERENCES
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For Tables of Contents Use Only
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Schematic diagram of the research and the utilization of RH for sludge dewatering is in favor of
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