The major leading fact for environmental issue is due to pollution. Water pollution is basically the effective cause herewith due to pollutants released from industries, battery waste, e-waste etc. To eradicate the health issues in relation to environment is observed when heavy metals are removal from wastewater to some extent. Lead is one of the highest toxic metal among others. In the present work, the biosorption of lead from wastewater using marine algae ulva lactuaca is carried away. biosorption is considered as an effective process. The Optimization of biosorbed lead under the experimental process is predicted by the help of the 3-D RSM designing. CCD (central composite design) is a 3 D design used to illustrate the optimum conditions according to the experiment performed and support to justify the final results obtained as an optimum values of pH 3.67, dosage 12 g/L, concentration 30.01 mg/L, Temperature 318K and % removal and Desirability are shown best as 94.9566 % and 0.808 respectively.

1.
Sadrzadeh
M
,
Mohammadi
T
,
Ivakpour
J
,
Kasiri
N
:
Separation of lead ions from waste water using electrodialysis: Comparing mathematical & neural network modeling
:
Chemical Engineering Journal
,
144
,
431
441
, (
2008
).
2.
Srivastava
S.K
,
Gupta
V.K
and
Mohan
D
:
Removal of lead and chromium by activated slag - ablast-furnace waste
J: Environ. Eng.
123
,
461
468
, (
1997
).
3.
Bezerra
M.A.
,
Santelli
R.E
,
Oliveira
E.P
,
Villar
L.S
,
Escaleira : A Response surface methodology (RSM) as a tool for optimization in analytical chemistry
:
Talanta
,
76
(
5
),
965
977
, (
2008
).
4.
Bhatti
M.S.
,
Reddy
A.S
,
Thukral
A.K
:
Electrocoagulation removal of Cr (VI) from simulated wastewater using response surface methodology
:
Journal of Hazardous Materials
,
172
,
839
846
, (
2009
).
5.
Bingol
D
,
Hercan
M
,
Elevil
S
,
Kilic
E
:
Comparison of the results of response surface methodology & Artificial neural network for the biosorption of lead using black cumin
:
Bioresource Technolnology
,
112
,
111
115
, (
2012
).
6.
Geyikci
F
,
Kilic
E
,
Coruh
S
,
Elevli
S
,
Modeling of lead adsorption from industrial sludge leach ate on red mud by using Response surface methodology & Artificial neural network
,
Chemical Engineering Journal
,
183
,
53
59
, (
2012
)
7.
Goel
J
,
Kadirvelu
K
,
Rajagopal
C
,
Garg
,
V.K
:
Removal of lead (II) from aqueous solution by adsorption onto carbon Aerogel using Response surface methodology approach
:
Ind. Eng. Chem. Res
,
44
,
1987
1994
, (
2005
).
8.
Singh
R
,
Chadetrik
R
,
Kumar
R
,
Bishnoi
K
,
Bhatia
D
,
Kumar
A
,
Bishnoi
N.R
,
Singh
N
:
Biosorption optimization of lead (II), Cadmium (II) and copper (II) using response surface methodology and applicability in isotherms and thermodynamics modeling
:
Journal of Hazardous Materials
,
174
,
623
634
(
2010
).
9.
Yetilmezsoy
K
,
Demirel
S
,
Vanderbei
R.J
:
Response surface modeling of Pb (II) removal from aqueous solution by Pistacia Vera L: Box-Behnken experimental design
,
Journal of Hazardous Materials
,
171
,
551
562
, (
2009
).
10.
Edmondson
RN
:
Agricultural response surface experiments based on four-level factorial designs
:
Biometrics
47
,
1435
1448
, (
1991
).
11.
Bas
D
,
Boyaci
IH
:
Modeling and optimization I: Usability of response surface methodology
:
Journal of Food Engineering
78
:
836
845
., (
2007
). V.Kumar
This content is only available via PDF.