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Biosorption Process For Removal and Recovery of Heavy and Precious Metals from Aqueous Solutions: Past, Present and Future
Dr J. Paul Chen Department of Chemical & Environmental Engineering
National University of Singapore, Singapore
Presented at International Symposium on Water Resources
Wuhan, China
November 9, 2003
Outline of PresentationMotivationHistorical backgroundCurrent development
ApplicationMechanisms
Future trendsSummary
Major Industries in Singapore
• Originally 7 islands of total area of 900ha
Reclamation efforts: 2,650ha in 2001, to increase to 3,200ha in 2003
• 55 companies on site (e.g. DuPont, Chevron, Celanese, ExxonMobil, Eastman, Sumitomo)
• Target output from chemical industries: S$75 billion by 2010
Chemical Industry
Chemical Cluster Output : S$ 28.9 billion
Chemical Output Share (2001)
Petroleum62%
Petrochemicals23%
Specialty Chemicals15%
Others1%
Major Industry Sectors (2001)
Total Manufacturing Output : S$ 135 billion
Engineering18.3%
Chemicals20.8%
General Industries
1.4%
Biomedical Sciences
9.2%
Electronics50.3%
Jurong Island: Integrated Petrochemical Hub
1S$=
4.75
RM
B
Why do we care about metal contamination ?
Human activities and natural processes inevitably would produce metal wastes.
Typical industries are metal-plating and metal-finishing operations, e.g. semiconductor mining and ore processing operations, metal processing, battery and accumulator manufacturing operations, thermal power generation (coal-fired plants in particular), nuclear power generation, Military practices, e.g. U
Naturally occurring metal wastes include arsenic and arsenite.
Why do we care ... metal ? Cont’d EPAs have become more concerned the impacts. In the USA, important regulations are Cu-Pb and As rule (new
ruling of 10-ppb AS in drinking water in 2001) Searching cost-effective technologies becomes crucial. Technologies:
Precipitation, adsorption, ion exchange, electro-coagulation, electrochemical reduction, membrane filtration
However, the costs and efficiencies still remain as a major concern.
Affinity of metal with organicsL-2-Aminopropanoic Acid (Alanine) with various metal
Log K
Ca2+ 1.30
Co2+ 4.31
Ni2+ 5.36
Cu2+ 8.11
Zn2+ 4.58
Cd2+ 3.98
Pb2+ 4.15
CHCOOHCH
|
NH
3
2
MLLM 22 =+ −+
}}{L{M
{ML}22 −+=K
Metal Ions
1. Immobilization of organics; 2. use of organics in natural biosolids
Historical background: 1980-1995Biosorption by the materials derived directly and/or indirectly by various organisms has long recognized
However, the applications of biosorption started to appear in scientific literatures in early 1980s.
Credit - One of earlier researchers, B. Volesky of McGill Univ., had contributed significantly by publishing a series of papers, mainly on screening of biosorbents and measurement of biosorptive capacities.
What is biosorption ?• Biosorption is a property of certain types of
inactive/active organisms to bind and concentrate heavy metals from even very dilute aqueous solutions.
• Biosorbents can be classified into:a. Inactive organisms (mainly) include algae, fungi and bacteria
b. Their derivatives which are termed as biopolymers.
• Opposite to biosorption is metabolically driven active bioaccumulation by living substances.
What are typical biosorbents ?• Some of the biomass types come as a waste by-product of
large-scale industrial fermentations (the mold Rhizopus, the bacterium Bacillus subtilis and waste activated sludge).
• Other metal-binding biomass types, certain abundant seaweeds (particularly brown algae e.g. Sargassum, Ecklonia ), can be readily collected from the oceans.
• Biopolymers are normally extracted from inactive organisms and processed before use (e.g. Ca-Alginate)
• These biosorbents can accumulate in excess of 25% of their dry weight in deposited metals: Pb, Ag, Au, U, Cu.
Case presents• Raw seaweeds – collected in Singapore
• Ca-alginate beads
• Ca-alginate based ion exchange resin (CABIER)
Characterization of biosorbents by instrumental analysis
• Fourier transform infrared spectroscopic (FTIR) and X-ray Photoelectron Spectroscopic (XPS) studies show that biosorbents have significant amount of COO, OH, C=O, and C-O.
• These organic functional groups would be responsible for metal uptake onto the biosorbents due to the high affinity for metal ions.
• SEM shows less pore development in bisorbents
Metal biosorptive properties: pH effectSOH + Mm+ = SO-Mm+ + H+
pH
1 2 3 4 5 6 7
Met
al r
emov
al, %
0
20
40
60
80
100
CuPb
[Pb]o=[Cu]o=1x10-4 M
[CABIER]=0.15 g/L
Sargassum Ca-alginate
0
4
8
12
16
20
0 1 2 3 4 5 6 7 8
Final pH
q, m
g/g
Cr3+
CrO4-
Metal biosorptive properties: pH effectEffect of Ionic Strength on Copper Removal
TCu=5x10-5 M, 2mL of 1.5 % alginate
0
20
40
60
80
100
1 2 3 4 5 6pH
Copp
er Re
mova
l,%
I=0.005 M
I=0.050 M
I=0.500 M
Metal biosorptive properties: ionic strength effect
Algae as the biosorbentsBi omass Met al i ons qmax (mmol/g) Ref er encesAscophyl l um spp. Ni , Pb, Cd, Cu 1.03-1.43 Vol esky et al . , 2000Chl or el l a sp. Cd 0.99 Aksu, 2001Cl adophor a sp. Pb 0.35 Jal al i et al . , 2002Cycl ot el l a sp. Cu 0.41 Schmi t t et al . , 2001Cymodocea spp. Cu, Zn 0.71-0.83 Sanchez et al . , 1999Fucus sp. Pb 1.6 Vol esky, 1994Gr aci l ar i a sp. Pb 0.2-0.26 Jal al i et al . , 2002
Padi na spp. Pb, Cu 0.31-1.05 Vol esky, 1994; Jal al i et al . , 2002; Kaewsar n, 2002
Phaeodact yl um sp. Cu 1.67mg/g Schmi t t et al . , 2001Pol ysi phoni a sp. Pb 0.49 Jal al i et al . , 2002Por phyr i di um sp. Cu 0.27mg/g Schmi t t et al . , 2001
Sar gassum spp. Pb, Cu, Cd, Ni 0.71-1.99 Vol esky et al . , 1994, 2000; Jal al i et al . , 2002
Scenedesmus spp. Cu, Cd 0.06-0.21 Schmi t t et al . , 2001Schi zomer i s spp. Pb, Cd 0.31-0.44 Ozer et al . , 1999Spi r ul i na sp. Cd 0.87 Rangsayat or n et al . , 2002Ul va sp. Pb 0.61 Jal al i et al . , 2002
Mechanisms of metal biosorption Instrumental investigations through XPS, FTIR,
titration and equilibrium experiments reveal that the biosorption is a complex chemical phenomenon.
Depended on the types of bisorbents applied, the metal uptake may be due to:metal surface complex formation (MSCF) ion exchange, and elementary coordination
XPS spectra of Pb- and Cu-adsorbed CABIER
137
Binding Energy (eV)
130 135 140 145 150 155
Inte
nsi
ty
0
200
400
600
800
1000
1200
1400
Pb 4f7/2
Binding energy (eV)
920 930 940 950 960
Inte
nsit
y
250
300
350
400
450
500
550
600
932.8
935.0
Cu 2p3/2
-O-M-O-
XPS Analysis
• Note that BE values of 577.2 and 579 represent Cr (III) and Cr (VI)
• Uptake reduction and MSCF
574 578 582
Binding Energy (eV)
574 578 582
Binding Energy (eV)
574 578 582
Binding Energy (eV)
574 578 582
Binding Energy (eV)
Raw Padina Cr(VI): pH 1
Cr(VI): pH 2 Cr(III): pH 4
577.1 578.5577.2 579.2
579.5577.5
biosorption of Metal Ions: Surface Complex Formation Model
_
_
_
_
_
_
_
_
_
_
__
_
__
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ ++
+
+
++
+
Surface PlaneInner Helmholtz PlaneOuter Helmholtz Plane
+
+
+
+
_
_
o d
Distance
Potential
0 d
β
ψο
ψ β
ψ d
β
biosorption results from reactions between functional groups of adsorbents and metal ion species.
Two-pK Triple-Layer Model - MSCF
M=Cu, or Zn, or Co, X=Cl, or NO3, or ClO4
yo=eψo / kT and yβ=eψβ / kT referred to o-layer and β-layer
SOH H y SOHo
KH
+ ( )+ + − ⇔ = +exp1
2 SOH H y SOo
KH
- ( )+ −− − ⇔exp2
-+2
+- )exp()exp(X + XSOHyyHSOHXK
o ⇔−−−++ β
SOH Na H y y SO NaKNa
+ -+ + - +− − + − ⇔exp( ) exp( )ο β
+−++ ⇔−−−−++ 20
2 )(exp)(exp2 MSOyHyMSOHCuK
β
+−++ ⇔−−−−++ MOHSOyHyMSOHCuOHK
)(exp2)(exp 02
β
−−+−+ ⇔−−−−+++ CuClSOyHyClCuSOHCuClK
)(exp2)(exp 02
β
MSCF for Cu biosorption by Ca-alginate beads
0
2 0
4 0
6 0
8 0
1 0 0
1 2 3 4 5 6 7
p H
Copp
er Re
mova
l, %
Chen, J.P., et al., Environmental Science and Technology, Vol. 31, No. 5, pp. 1433-1439, 1997.
Conceptual model for the metal removal by ion exchange.
Ca2+R2-
Ca2+R2-
R2- + M2+
M2+R2- + Ca2+
M = Cu and Pb
Ion exchange in biosorption (e.g. by CABIER)
1. M2+ + Ca-R M-R + Ca2+ (ion exchange) 2. M2+ + R2- M-R (R: unreacted group)
(elementary coordination)3. 2H+ + Ca-R H2-R + Ca2+ (pH effect) and 4. solution and precipitation reactions……..
Chen, J.P. et al., Langmuir, Vol. 18, No. 24, pp. 9413-9421, 2002.
Prediction of pH Effect on Metal Removal by CABIER
pH
1 2 3 4 5 6 7
Rem
ova
l, %
0
20
40
60
80
100
CuPb
[Pb]o= 1.0×10-4 M, m=1 g/L, [Cu]o=1.0×10-4 M, m=0.15 g/L. modeling
Prediction of Competitive Biosorption by CABIER
Resin applied, g/L
0.0 0.2 0.4 0.6 0.8 1.0
Res
idua
l Met
al C
onc.
x10
5 , M
0
4
8
12
16
20
[Pb]o = 1.63x10-4 M
[Cu]o = 1.81x10-4 M
modeling
0 20 40 60 80 100 1200
20
40
60
80
100
Res
idua
l lea
d co
ncen
trat
ion
X 1
05 , M
0
1
2
3
4
Res
idua
l cop
per
conc
entr
atio
n X
10
5 , M
Initial copper concentration X 105, M
Generalized approach for the simulations- MINEQL
Solution Reactions:
Adsorption Reactions:
Precipitation Reactions:
yi = Kiy ck
aiky
k=1
Na∏
sk
biky
k=1
Ns
∏
co
aioy
cβaiβ
y
, i =1,2,..., My
1= Kip ck
aikp
k =1
Na∏ , i = 1,2,..., Mp
xi = Kix ck
aikx
k =1
Na∏ , i = 1,2, ..., Mx
EDL
Solution and Precipitation Reactions in the Modelingn2
n2 )OH(CunOHCu −−+ =+ n2
n2 CuClnClCu −−+ =+
)s()OH(CuOH2Cu 22 =+ −+ OH)s(CuOOH2Cu 2
2 +=+ −+
n2n
2 PbClnClPb −−+ =+n2n
2 )OH(PbnOHPb −−+ =+
)s()OH(PbOH2Pb 22 =+ −+ OH)s(PbOOH2Pb 2
2 +=+ −+
OH)s()OH(OPbOH4Pb2 2222 +=+ −+
……………Chen, J.P. and Lin, M.S. Water Research, Vol. 35, No. 10, pp. 2385-2394, 2001.
How about modeling for metal reduction ?
• NO solution yet !!!
• It is on-going; but we may have hard time !!!
Biosorption kinetics: four types of seaweeds vs. “novel” CABIER
[Ca2+]o = 0, [Na+]o = 0
Time (min)
0 30 60 90 120 150 180
q (
mg
/g)
0
20
40
60
80
100
[Pb2+]o = 20 ppm
[Pb2+]o = 36.8 ppm
seaweeds CABIER
time (min)
0 100 200 300 400 500
q (m
mol
/g)
0.0
0.2
0.4
0.6
0.8
1.0
PadinaSargassumUlvaGracillaria
pH=5.0m=1.0g/L, C0=1.0mmol/L
copper
Sorption Kinetics of Metal Ions: Diffusion-Controlled Model
Adsorbent
Liquid Film
Bulk Liquid
Concentration
Porous
ap r, distance measured from adsorbent particle center
ρp, εp
m
kf jCj
c j
qj
qj
c j
c j(r=ap)Dpj
Model Parameters• Rate-controlling mechanism
(i.e., transport-controlled or reaction-controlled cases)
• Rate parameters (i.e., diffusion and mass transfer coefficients or rate constants)
• Characterization of sorbents
Sorption rate results fromeither mass transfer of ionspecies to the surface of sorbents or complexationreactions between functionalgroups of sorbents and ionspecies.
An Intraparticle Diffusion Model for Metal Uptake Kinetics
t
q
r
q
rr
qDe ∂
∂=
∂∂+
∂∂ 2
2
2
0=∂∂
r
q
C*)(Ckρr
qD fpe −=⋅
∂∂
kinetics of metal biosorption
[Ca2+]o = 0, [Na+]o = 0
Time (min)
0 30 60 90 120 150 180
q (
mg
/g)
0
20
40
60
80
100
[Pb2+]o = 20 ppm
[Pb2+]o = 36.8 ppm
pH = 4-5, m = 0.4 g/L, De = 2.95×10-11 m2/s, kf = 2.41×10-4 m/s
Continuously operated system for metal treatment – an engineered approach
m
V
p Lz
us cin
Kinetics: external mass transfer and internal diffusion
Equilibrium: capacity as function of chemistry and adsorbents
Mixing: dispersion and advection
Batch/CSTR ?
Fixed-bed ?
Fluidized-bed ?
Continuously operated fluidized-bed
02468
101214161820
0 10 20 30 40 50Ti me, hr
Effl
unet
con
cent
rati
on,
ppm
89
1011121314151617
0 10 20 30 40Ti me, hr
Bed
Heig
ht,c
m
Major obstacles and challenges• Reluctance to use by industries
• Organic leaching
• Waste biosorbent disposoal
• Physical properties
• Optimization of specific biosorption process
Prevention of TOC leaching-most recently development
• Organic leaching has been extremely if raw seaweeds are used.
• formaldehyde has been used for surface modification and the resulting TOC significantly reduces to below 5 ppm
• The biosorptive capacity increases and pH becomes more stable.
Summary• Biosorption of metals becomes more attractive due
to high removal capacity, high kinetics, low cost and possibility to recover metals.
• Biosorption is highly depended on pH.• Various mechanisms lead to the metal uptake.• Kinetics is mainly controlled by diffusion.• Various reactor configurations can be used.• Challenges still remain in the way leading to full-
scale industrial application.