1
Electronic Supplementary Information
Degradation-induced Capacitance: A New Insight into the Superior
Capacitive Performance of Polyaniline/Graphene Composites
Qin’e Zhang,a An’an Zhou,a Jingjing Wang,a Jifeng Wua and Hua Bai*ab
a College of Materials, Xiamen University, Xiamen, 361005, China, P.R.
b Graphene Industry and Engineering Research Institute, Xiamen University,
361005, China, P. R.
E-mail: [email protected]
Electronic Supplementary Material (ESI) for Energy & Environmental Science.This journal is © The Royal Society of Chemistry 2017
2
Calculation of theoretical specific capacitance of PANI/RGO and
HAOANIs
For electroactive polymers and oligomers, the theoretical specific capacitance (CT)
can be predicted by the following equation.1, 2
TnFCEM
Where n is the average number of electrons transferred during the redox reaction, F
is the Faraday constant (= 96485 C mol−1), M is the molecular mass of monomer, is
the potential range. The theoretical capacitance value of ~ 740 F g−1 is obtained2 in the
potential range of −0.2 ~ 0.8 V (or 0 ~ 0.8 V) for PANI. Theoretical gravimetric
capacitance of graphene3, 4 is about 550 F g−1, but the practical specific capacitance4, 5
of RGO is approximately 220 F g−1. If we assume that the surface area of PANI/RGO
composite equals to that of RGO component in the composite, and that the areal specific
capacitance of PANI is the same as that of RGO, the theoretical capacitance of
PANI/graphene composites (PANI content: a), which is about
740 220 1TC a a
Therefore, we can simply calculate the theoretical capacitance of PANI/graphene
composites and hydroxyl or amino terminated oligoanilines (HAOANIs) appearing
below.
a) Flexible graphene/PANI paper (PANI content: 22.3%):6
F g−1740 22.3%+220 77.7% 336TaC
3
b) PANI/RGO composite in this work:
F g−1740 50% 220 50% 480TbC
c) HAOANIs:
F g−11
2 96485 21930.8 110TC
F g−12
2 96485 12060.8 200TC
F g−13
4 96485 16750.8 288TC
d) PANI/RGO composite in this work when HAOANIs are generated.
F g−1220 50% 1207.5 50% 714TdC
4
-0.2 0.0 0.2 0.4 0.6 0.8 1.0-15
-10
-5
0
5
10
15
(C)
-0.2 0.0 0.2 0.4 0.6 0.8 1.0-10
-5
0
5
10
-0.2 0.0 0.2 0.4 0.6 0.8 1.0
-30
-20
-10
0
10
20
30
-0.2 0.0 0.2 0.4 0.6 0.8 1.0-10
-5
0
5
10
Cur
rent
den
sity
(A/g
)
(B) PANI-NMP PANI-NMP+H2O
Cur
rent
den
sity
(A/g
)
PAN-NMP+H2O+ammonia PANI-NMP+dispered graphene
Electro-reduction RGO PANI/RGO by electrodeposition(D)
Potential vs.SCE(V) Potential vs.SCE(V)
Potential vs.SCE(V)
Cur
rent
den
sity
(A/g
)
Potential vs.SCE(V)
Cur
rent
den
sity
(A/g
) Dispered graphene(A)
Fig. S1 (A) The CV curves of dispersed graphene.7 (B) PANI mixed with dispersed
graphene. (C) RGO by electrochemical reduction. (D) PANI/RGO by
electrodeposition.8
5
Table S1 Comparison of position of the new pair of peaks and capacitances based on
graphene-PANI materials
MaterialsPosition of
newpair of peaks
Capacitance Cycle life Ref
Phase–Separated polyaniline/Graphene
CompositeAround
0.4 ~ 0.5V
791 F g−1 at 1.14 A g−1
81.1% after 10000
galvanostatic charge–discharge
cycles
9
RGO/PANI/RGO paper Around0.4 ~ 0.5V
581 F g−1 at 1 A g−1
85% after 10000 galvanostatic
charge–discharge cycles
10
PANI–IL–graphene Around0.4 ~ 0.5V
662 F g−1 at 1.0 A g−1
Less than 7.0% after 5000
charge–discharge cycles at 10 A g−1
11
AT-GO composites Around0.4 ~ 0.5V
769 F g−1 at 1 A g−1
More than 93 to 96% after 2000
cycles
12
3D rGO–PANI Nanofibers
Around0.4 ~ 0.5V
921 F g−1 at 0.45 A g−1
>100% retention at 10 A g−1 for
2000 cycles13
Graphene/PANI composite film
Around0.4 ~ 0.5V
640 F g−1
at 1 A g−1
90% after 1000 charge/discharge
cycles14
PANI@3DGFs composite
Around0.4 ~ 0.5V
596.1 F g−1
at 0.5 A g−1
70.2% capacitance
retention after 5000 cycles
15
6
0 50 100 150 200 250 3000
100
200
300
-0.2 0.0 0.2 0.4 0.6-30
-15
0
15
30
0 20 40
0.0
0.2
0.4
0.6
(C)
Cap
acita
nce
(F/g
)
Cycle number
(A)
Potential vs.SCE(V)
125cycles 150cycles 175cycles 200cycles 300cycles
1cycles 2cycles 25cycles 50cycles 75cycles 100cycles
Cur
rent
den
sity
(A/g
)
(B) 1 cycle 50 cycles 100 cycles 150 cycles 200 cycles 300 cycles
Pote
ntia
l vs.S
CE(
V)
Time/s
Fig. S2 Capacitive performances of PANI. (A) The CV curves of PANI in the potential
ranges from −0.2 ~ 0.6 V at scan rate of 50 mV·s−1 within 300 cycles. (B) The
corresponding GCD curves. (C) Specific capacitance of PANI at different cycle
number.
7
8
Fig. S3 Schematic diagram of the preparation of 3D a-PANI/RGO composite.
9
4000 3000 2000 1000
3D-RGO a-PANI/RGO
Tran
smita
nce/
%
Wavenumbers/cm-1
Fig. S4 FT-IR of 3D RGO and a-PANI/RGO composite.
Compared with the FT-IR spectrum of RGO, the new peaks at 1560cm−1, 1490cm−1,
1398cm−1, and 811 cm−1 were attributed to the vibrations of –C=N, –C=C, –C–N and –
C–H, respectively, which demonstrates the successful combination of PANI with the
RGO hydrogel.16, 17
10
Fig. S5 SEM images of a-PANI/RGO composite. Scale bars: (A) 20µm, (B) 10µm
and (C) 5µm. (D) EDX spectrum of a-PANI/RGO composite.
11
-0.2 0.0 0.2 0.4 0.6 0.8
-0.008
-0.004
0.000
0.004
0.008
Cur
rent
(mA
)
Potential (V vs. SCE)
10mV/s 25mV/s 50mV/s
Fig. S6 The CV curves of extraction on GCE at different scan rates.
12
(A)
-0.2 0.0 0.2 0.4 0.6 0.8-20
-10
0
10
20
30
0 20 40 60 80
0.0
0.2
0.4
0.6
0.8
(C)
-0.2 0.0 0.2 0.4 0.6 0.8-20-15-10
-505
101520
0 20 40 60 80
0.0
0.2
0.4
0.6
0.8
Potential vs.SCE(V)
Cur
rent
den
sity
(A/g
) Composite before extraction Composite after extraction
Cur
rent
den
sity
(A/g
)
Potential vs.SCE(V)
Pote
ntia
l vs.S
CE(
V)
Time/s
Composite before extraction Composite after extraction
(B)
Time/s
Pote
ntia
l vs.S
CE(
V)
3D RGO before extraction 3D RGO after extraction
3D RGO before extraction 3D RGO after extraction
(D)
Fig. S7 The CV (A) and GCD (7.8 A·g−1) (B) curves of as-prepared 3D a-PANI/RGO
composite before and after acetonitrile extraction. The CV (C) and GCD (4.2 A·g−1)
(D) curves of 3D RGO before and after acetonitrile extraction.
13
Scheme S1. Degradation of PANI during electrochemical process.
N N N N
NH N N NH
H
NH2 N N NH2
N Nn
N N n
HO OHN N n
N N N NNH2 HO H2NOH
N NO O
-H
NH N N NH N N n
H2O H2O
H2O OH2
The mechanism of the degradation of PANI under acidic conditions is given above.
Compounds containing carbon-nitrogen double bonds can be hydrolyzed to the
corresponding aldehydes or ketones.18, 19 There are plenty of Schiff base structures (Ar-
N=C) in oxidized PANI, thus PANI may hydrolysis catalyzed by acid. As shown in
Scheme S1, water first adds onto the C=N bond, and then the N group leaves. After
deprotonation, C=O bond forms.
14
-0.2 0.0 0.2 0.4 0.6 0.8
-60
-30
0
30
60
90
0 300 600 900 1200
0.0
0.2
0.4
0.6
0.8
Cur
rent
den
sity
/ A
g-1
Potential / V vs. SCE
50 mV s-1(A)
Pote
ntia
l / V
vs.
SCE
Time / s
1.19 A g-1(B)
Fig. S8 Electrochemical properties of amino-terminated aniline trimer/PANI
composite. (A) CV curve of composite at scan rate of 50 mV s-1 in the potential range
of − 0.2 ~ 0.7 V. (B) GCD curve of composite at current density of 1.19 A·g−1 under
the potential of 0 ~ 0.7 V.
15
-0.2 0.0 0.2 0.4 0.6 0.8
-80
-40
0
40
80
0 200 400 600 800
0.00.10.20.30.40.50.60.7
Curre
nt d
ensit
y (A
/g)
Potential (V vs. SCE)
10mV/s 25mV/s 50mV/s 75mV/s 100mV/s
(A)
Pote
ntia
l (V
vs.
SCE)
Time (s)
1.06A/g 2.12A/g 4.24A/g 8.48A/g 12.72A/g 16.96A/g 21.2A/g 25.44A/g
(B)
Fig. S9 The different scan rates of CV curves (A) and the specific capacitance at
different current density (B).
16
-0.2 0.0 0.2 0.4 0.6-10
-5
0
5
10
0 20 40 60 80 100 120
0.0
0.2
0.4
0.6
-0.2 0.0 0.2 0.4 0.6-15
-10
-5
0
5
10
15
0 20 40 60 80 100 120
0.0
0.2
0.4
0.6
0 2 4 6 8 100
20
40
60
80
100
120
0 1000 2000 3000 4000 5000
0
20
40
60
80
100
120
Cur
rent
den
sity
/ A
g-1
Potential / V vs. SCE
Before activation After activation
(A)
Pote
ntia
l / V
vs.
SCE
Time / s
Before activation After activation
(B)C
urre
nt d
ensi
ty /
A g
-1
Potential / V vs. SCE
10 mV s-1
25 mV s-1
50 mV s-1
75 mV s-1
100 mV s-1
(C)
Pote
ntia
l / V
vs.
SCE
Time / s
1.1 A g-1
2.2 A g-1
3.3 A g-1
4.4 A g-1
5.6 A g-1
6.7 A g-1
7.8 A g-1
(D)
Spec
ific
capa
cita
nce
/ F g
-1
Current density / A g-1
(E)
Ret
entio
n ra
te /
%
Cycle number
(F)0 100 200 300 400
0.00
0.05
0.10
0.15
0.20
0.25
Ener
gy d
ensi
ty /
Wh
L1
Current density / A L1
Fig. S10 Capacitive performance of two-electrode devices with PANI/RGO as the
anode (mass loading: 5.1 mg cm−2) and pure RGO as the cathode. (A) CV curves of
device before and after activation of PANI/RGO at 50 mV s−1. (B) GCD curves of
device before and after activation of PANI/RGO at current density of 1.1 A·g−1. (C)
CV curves of device at different scan rate. (D) GCD curves of device at different current
densities. (E) Specific capacitance of device at different current densities. (F)
Capacitance retention of device over 5000 cycles at the current density of 7.8 A·g−1.
The specific capacitance of the device is calculated from GCD curves:
17
cellI tC
m U IR
where I is the constant discharge current, t is the discharging time, m is the total mass
of materials on both electrodes, and U is highest voltage of the cell during
charge/discharge process, and IR is the voltage drop upon discharging.
The energy density is calculated using following equation:
,argdisch eS
I UdtE
V
where V is the total volume of the two electrodes.
18
Reference
1. C. Peng, X. Zhou, G. Z. Chen, F. Moggia, F. Fages, H. Brisset and J. Roncali, Chem. Commun., 2008, 6606-6608.
2. C. Peng, D. Hu and G. Z. Chen, Chem. Commun., 2011, 47, 4105-4107.3. Y. Xu, Z. Lin, X. Zhong, X. Huang, N. O. Weiss, Y. Huang and X. Duan, Nat.
Commun., 2014, 5, 4554.4. Y. Zhu, S. Murali, W. Cai, X. Li, J. W. Suk, J. R. Potts and R. S. Ruoff, Adv.
Mater., 2010, 22, 3906-3924.5. L. Zhang and G. Shi, J. Phys. Chem. C, 2011, 115, 17206-17212.6. H.-P. Cong, X.-C. Ren, P. Wang and S.-H. Yu, Energy Environ. Sci., 2013, 6,
1185-1191.7. D. Li, M. B. Muller, S. Gilje, R. B. Kaner and G. G. Wallace, Nat. Nano, 2008,
3, 101-105.8. K. Chen, L. Chen, Y. Chen, H. Bai and L. Li, J. Mater. Chem., 2012, 22, 20968-
20976.9. J. Wu, Q. e. Zhang, A. a. Zhou, Z. Huang, H. Bai and L. Li, Adv. Mater., 2016,
28, 10211-10216.10. F. Xiao, S. Yang, Z. Zhang, H. Liu, J. Xiao, L. Wan, J. Luo, S. Wang and Y. Liu,
Sci. Rep., 2015, 5, 9359.11. K. Halab Shaeli Iessa, Y. Zhang, G. Zhang, F. Xiao and S. Wang, J. Power
Sources, 2016, 302, 92-97.12. J. Yan, L. Yang, M. Cui, X. Wang, K. J. Chee, V. C. Nguyen, V. Kumar, A.
Sumboja, M. Wang and P. S. Lee, Adv. Eng. Mater., 2014, 4, 1400781-n/a.13. N. Hu, L. Zhang, C. Yang, J. Zhao, Z. Yang, H. Wei, H. Liao, Z. Feng, A. Fisher,
Y. Zhang and Z. J. Xu, Sci. Rep., 2016, 6, 19777.14. X.-M. Feng, R.-M. Li, Y.-W. Ma, R.-F. Chen, N.-E. Shi, Q.-L. Fan and W.
Huang, Adv. Funct. Mater., 2011, 21, 2989-2996.15. M. Yu, Y. Huang, C. Li, Y. Zeng, W. Wang, Y. Li, P. Fang, X. Lu and Y. Tong,
Adv. Funct. Mater., 2015, 25, 324-330.16. L. Wang, Y. Ye, X. Lu, Z. Wen, Z. Li, H. Hou and Y. Song, Sci. Rep., 2013, 3,
3568.17. Y. Meng, K. Wang, Y. Zhang and Z. Wei, Adv. Mater., 2013, 25, 6985-6990.18. A. R. Hajipour, S. Khoee and A. E. Ruoho, Org. Prep. Proced. Int., 2003, 35,
527-581.19. S. Hammerum and T. I. Sølling, J. Am. Chem. Soc., 1999, 121, 6002-6009.