Supplementary Materials for:
Palladium/iron nanoparticles stimulate tetrabromobisphenol A microbial
reductive debromination and further mineralization in sediment
Authors:
Xiao-Qiu Lina, Zhi-Ling Li*a, Ying-Ying Zhua, Fan Chena, Bin Liangb, Jun Nana, Ai-
Jie Wanga,b
Affiliation:
a State Key Laboratory of Urban Water Resources and Environment, School of
Environment, Harbin Institute of Technology, Harbin 150090 China;
b Key Laboratory of Environmental Biotechnology, Research Center for Eco-
Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P.R. China;
*Corresponding author: Professor. Zhi-Ling Li
E-mail: [email protected]
TEL: +86-451-86286840
Pages: 7
Figures: 3
Tables: 3
1
Cl
(A) (B)
(C) (D)Fe Pd
Figure S1. The morphology of the particles surface and the analysis of Fe and Pd
distributions through SEM-EDS in SS-Pd/Fe (0.412 g L-1 dosage, 0.5 wt% Pd
loading). (A) Proportions of Pd and Fe; (B) The morphology of the particles and the
elemental distributions of Pd (red), Fe (green), C (yellow) and O (blue); (C) and (D)
The elemental distributions of Fe and Pd, respectively.
2
710 720 730 7402000
4000
6000
8000
10000
Fe3+
Fe0
Inte
nsity
(a.u
.)
B.E.(eV)
Fe3+
332 336 340 344 348
1100
1200
1300
1400
Inte
nsity
(a.u
.)
B.E.(eV)
Pd 3d5/2Pd 3d3/2
(A) (B)
Figure S2. X-ray Photoelectron Spectroscopy (XPS) analysis for particles in SS-Pd/Fe
(0.412 g L-1 dosage, 0.5 wt% Pd loading) after TBBPA decomposition. (A) Fe spectra
from XPS analysis; (B) Pd spectra from XPS analysis.
3
(A) (B)
Figure S3. The overall networks revealing the interactions between OTUs from the
bacterial communities in SS (A) and SS-Pd/Fe (B). A blue line indicated a positive
interaction between two individual nodes, while, a red line indicated the negative
interaction.
4
Table S1: TBBPA removal efficiency (R10) at 10 d and the rate constant (k) in SS and SS-Pd/Fe fed with the different dosages and Pd loadings
Different dosages of Pd/Fe nanoparticles (1.0 wt% Pd loading, g L-1) Different Pd loading (0.412 g L-1 Pd/Fe, wt %)
0 0.0412 0.206 0.309 0.412 1.03 2.06 4.12 0.1 0.5 0.8 1.0
R10
(%)
60.9964.81 74.39 87.51 100 100 100 100 100 100 100 100
k a 0.10±0.01 0.12±0.01 0.14±0.01 0.20±0.01 0.47±0.02 0.47±0.01 0.63±0.02 0.61±0.01 0.27±0.01 0.42±0.01 0.46±0.02 0.46±0.02
r2 b 0.996 0.992 0.994 0.990 0.995 0.998 0.999 0.999 0.991 0.997 0.993 0.999
a: k indicated the first-order fitting kinetic constants for TBBPA decomposition;
b: r2 indicated the fitted linear regressions
5
Sample
ID
Seq
num
OTU
Num*1
Shannon
index
ACE
index
Chao1
indexCoverage Simpson
S1 46860 2150 4.60 2912.18 2792.72 0.98 0.06
S2 43667 2073 4.83 2852.98 2766.94 0.98 0.04
S3 49240 2021 3.90 2809 2611.30 0.99 0.11
SP1 50135 2138 4.59 2924.45 2797.71 0.99 0.05
SP2 54032 2188 4.56 3078.71 2920.19 0.99 0.04
SP3 48564 2088 4.78 2963.38 2863.12 0.98 0.03
Table S2. Microbial diversity indexes of identified OTUs for bacteria in the samples of SS (S1, S2, S3) and SS-Pd/Fe (SP1, SP2, SP3) through
the high-throughput sequencing.
*1: “OTU num” indicated the classified OTU numbers obtained from the gene sequences with the identity of over 97 %.
6
Table S3: Major topological properties of the empirical networks for the bacterial community in SS and SS-Pd/Fe.
Empirical networks
Microbial
communities
Network
size aLinks
Averaged
connectivity
Averaged
path
length
Averaged
clustering
coefficient
Modularity
(fast greedy)
SS 306 1416 9.26 7.25 0.54 0.62
SS-Pd/Fe 324 1006 6.21 10.52 0.54 0.74
a: The number of nodes in the network
7
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