Ibuprofen biosorption by chemically activated <i>Saccharomyces cerevisiae</i>

Santos, Bruna Assis Paim dos; Dall’Oglio, Evandro Luiz; Siqueira, Adriano Buzutti de; Caixeta, Danila Soares; Lopes, Viviane Cristina Padilha; Vasconcelos, Leonardo Gomes de; Morais, Eduardo Beraldo de

doi:10.4136/ambi-agua.2862

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ARTICLES • Rev. Ambient. Água 17 (5) • 2022 • https://doi.org/10.4136/ambi-agua.2862 copy

Ibuprofen biosorption by chemically activated Saccharomyces cerevisiae

Biossorção de ibuprofeno por Saccharomyces cerevisiae ativada quimicamente

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Saccharomyces cerevisiae biomass was activated chemically, and its ibuprofen (IBP) biosorption capabilities were assessed regarding IBP removal from an aqueous solution. The effects of pH (2-10), contact time (0-90 min), IBP concentration (5-35 mg L^-1), and temperature (20, 30, 40°C) were evaluated in batch studies. Higher removal rates of IBP were found at pH 2.0. The pseudo-second-order kinetic model best described the experimental data. Both the Langmuir and Freundlich isotherm models described the equilibrium data satisfactorily. The maximum biosorption capacity for IBP onto chemically activated Saccharomyces cerevisiae biomass (CA-YB) was estimated at 13.39 mg g^-1 at 40°C. The activation energy calculated by the Dubinin-Radushkevich isotherm model was 9.129 kJ mol^-1, indicating that a chemical process mediated the biosorption of IBP onto CA-YB. According to thermodynamic studies, IBP biosorption is spontaneous and endothermic. FTIR analysis revealed that the carboxyl, hydroxyl, phosphoryl, and amino groups were involved in the biosorption process of IBP. These findings indicated that CA-YB could be an alternative biosorbent for IBP removal from aqueous media.

Keywords:
isotherms; kinetic; microbial biomass; pharmaceutical drugs; thermodynamic study

Instituto de Pesquisas Ambientais em Bacias Hidrográficas Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi), Estrada Mun. Dr. José Luis Cembranelli, 5000, Taubaté, SP, Brasil, CEP 12081-010 - Taubaté - SP - Brazil
E-mail: ambi.agua@gmail.com

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[1] ^*Corresponding author: Eduardo Beraldo de Morais, e-mail: beraldo_morais@yahoo.com.br

Model	Equation	Parameters
Kinetic models
Pseudo-first-order	$\log (q_{e} - q_{t}) = \log q_{e} - \frac{K_{1}}{2.303} t$	q_e (mg g^-1): biosorption capacity at equilibriumq_t (mg g^-1): biosorption capacity at timet K₁ (min^-1): pseudo-first-order rate constant
Pseudo-second-order	$\frac{t}{q_{t}} = \frac{1}{K_{2} q_{e}^{2}} + \frac{1}{q_{e}} t$	K₂ (g mg^-1min^-1): pseudo-second-order rate constant
Isotherm models
Langmuir	$\frac{1}{q_{e}} = \frac{1}{q_{m}} + (\frac{1}{q_{m} K_{L}}) \frac{1}{C_{e}}$	q_e (mg g^-1): biosorption capacity at equilibriumq_m (mg g^-1): maximum biosorption capacity C_e (mg L^-1): equilibrium adsorbate concentration in solutionK_L (L mg^-1): Langmuir constant
Freundlich	$\ln q_{e} = \ln K_{f} + \frac{1}{n} \ln C_{e}$	K_f ((mg g^-1) (mg L^-1)^-1/n): Freundlich constantn: heterogeneity factor
Dubinin-Radushkevich	$l n q_{e} = l n q_{m} - β ε^{2}$	ɛ: Polanyi potentialβ (mol²kJ^-2): biosorption energy constant
	$ε = R T l n (1 + \frac{1}{C_{e}})$	R: universal gas constant (8.314 J mol^-1K^-1)

Model	Temperature (°C)
Model	20	30	40
q _experimental	5.37	6.61	7.29
Pseudo-first-order
q₁ (mg g^-1)	7.43	1.354	4.74
k₁ (min^-1)	0.013	0.016	0.002
R²	0.121	0.313	0.002
RMSE	0.379	0.257	0.436
Pseudo-second-order
q₂ (mg g^-1)	5.25	6.60	7.26
k₂ (g mg^-1min^-1)	0.128	0.069	0.142
R²	0.989	0.994	0.999
RMSE	0.600	0.346	0.133

Model	Parameter
Langmuir
q_max (mg g^-1)	13.39
K_L (L mg^-1)	0.043
R²	0.903
RMSE	0.049
Freundlich
K_F (mg g^-1) (mg L^-1)^-1/n	1.940
n	1.133
R²	0.911
RMSE	0.190
D-R
q_m (mmol g^-1)	1,392
β (mol²J^-2)	6.00 x 10^-8
E (kJ mol^-1)	9.129
R ²	0.896
RMSE	0.334

Adsorbent	q_max (mg g-¹)
Graphene oxide nanoplatelets (Banerjeeet al., 2016BANERJEE, P.; DAS, P.; ZAMAN, A.; DAS, P. Application of graphene oxide nanoplatelets for adsorption of Ibuprofen from aqueous solutions: Evaluation of process kinetics and thermodynamics. Process Safety and Environmental Protection, v. 101, p. 45-53, 2016. https://dx.doi.org/10.1016/j.psep.2016.01.021 https://dx.doi.org/10.1016/j.psep.2016.0... )	3.72
Pine wood biochar (Essandohet al., 2015)	10.74
Physically activatedCocos nuciferashell biochar (Chakrabortyet al., 2019CHAKRABORTY, P.; SHOW, S.; RAHMAN, W. U.; HALDER, G. Linearity and non-linearity analysis of isotherms and kinetics for ibuprofen remotion using superheated steam and acid modified biochar. Process Safety and Environmental Protection, v. 126, p. 193-204, 2019. https://doi.org/10.1016/j.psep.2019.04.011 https://doi.org/10.1016/j.psep.2019.04.0... )	9.43
Chemically activatedCocos nuciferashell biochar (Chakrabortyet al., 2019CHAKRABORTY, P.; SHOW, S.; RAHMAN, W. U.; HALDER, G. Linearity and non-linearity analysis of isotherms and kinetics for ibuprofen remotion using superheated steam and acid modified biochar. Process Safety and Environmental Protection, v. 126, p. 193-204, 2019. https://doi.org/10.1016/j.psep.2019.04.011 https://doi.org/10.1016/j.psep.2019.04.0... )	11.38
Chemically activated date seed biochar (Chakrabortyet al., 2020CHAKRABORTY, P.; SINGH, S. D.; GORAI, I.; SINGH, D.; RAHMANA, W. U.; HALDER, G. Explication of physically and chemically treated date stone biochar for sorptive remotion of ibuprofen from aqueous solution. Journal of Water Process Engineering, v. 33, p. 1-11, 2020. https://dx.doi.org/10.1016/j.jwpe.2019.101022 https://dx.doi.org/10.1016/j.jwpe.2019.1... )	11.23
Steam activated date seed biochar (Chakrabortyet al., 2020CHAKRABORTY, P.; SINGH, S. D.; GORAI, I.; SINGH, D.; RAHMANA, W. U.; HALDER, G. Explication of physically and chemically treated date stone biochar for sorptive remotion of ibuprofen from aqueous solution. Journal of Water Process Engineering, v. 33, p. 1-11, 2020. https://dx.doi.org/10.1016/j.jwpe.2019.101022 https://dx.doi.org/10.1016/j.jwpe.2019.1... )	13.17
Cellulosic Sisal modified by polypyrrole-polyaniline nanoparticles (Khadiret al., 2020KHADIR, A.; MOTAMEDI, M.; NEGARESTANI, M.; SILLANPÄÄ, M.; SASANI, M. Preparation of a nano bio-composite based on cellulosic biomass and conducting polymeric nanoparticles for ibuprofen removal: Kinetics, isotherms, and energy site distribution. International Journal of Biological Macromolecules, v. 162, p. 663-677, 2020. https://doi.org/10.1016/j.ijbiomac.2020.06.095 https://doi.org/10.1016/j.ijbiomac.2020.... )	19.45
Chemically activatedSaccharomyces cerevisiaebiomass (Present study)	13.39

T (°C)	K _D	ΔG (KJ mol^-1)	ΔH (KJ mol^-1)	ΔS (J mol^-1K^-1)
20	1.05	-0.263	33.07	113.71
30	1.98	-1.400
40	2.48	-2.537