Livestock Research for Rural Development 28 (4) 2016 Guide for preparation of papers LRRD Newsletter

Citation of this paper

Comparative study of aflatoxin B1 adsorption by Thai bentonite and commercial toxin binders at different temperatures in vitro

S Wongtangtintan, L Neeratanaphan, P Ruchuwararak, S Suksangawong, U Tengjaroenkul1, P Sukon and B Tengjaroenkul

Khon Kaen University, Khon Kaen 4002, Thailand
btengjar@kku.ac.th
1 Chiang Mai University, Chiang Mai 50200, Thailand

Abstract

Thai bentonite (TB) and two commercial toxin binders including commercial bentonite (CB) and activated carbon (AC) were investigated for their adsorption capacities of aflatoxin B1 (AFB1) at different temperatures in vitro. Each sample of 5 mg/l AFB1 solution was shaken at 25o, 37o and 45oC for 24 hours, and the supernatants of centrifuged samples were analyzed for concentrations of AFB1 using a UV spectrophotometer at a wavelength of 362 nm. The results indicated that TB is capable of sequestering AFB1 from aqueous solutions and had significantly greater adsorption capacities than CB and AC (p<0.05). The adsorption capacities were then calculated and applied to isotherm equations. The linearized Langmuir and linearized Freundlich adsorption isotherm equations indicated that TB was the best toxin binder for adsorbing AFB1 as demonstrated by its significantly higher estimated maximum binding capacity (p<0.05), the distribution coefficient and the heterogeneity factor.  The mean adsorptions of AFB1 on all binders were highest at 25oC, whereas adsorbed significantly decreased when temperatures were increased from 25oC to 45oC (p<0.05). Furthermore, the results revealed that the Freundlich model presented a better fitted to the experimental data than the Langmuir model. This implied that the adsorption behavior of AFB1 on these toxin binders represented multilayer/multiple site adsorption on the binders’ surfaces. The results support the conclusion that TB adsorbs AFB1 in vitro more efficiently than other commercial toxin binders, especially at 25oC.

Keywords: aflatoxin, binder, charcoal, clay, fungal toxin, model


Introduction

Aflatoxins (AF) are toxic substances produced by Aspergillus flavus and A. parasiticus. Aflatoxin B1 (AFB1) is widely known as the most liver toxic among AF (Hueber et al 2004, Godfrey et al 2013). One approach to detoxify AF is to combine adsorbent to animal feed to inhibit the bioavailability of the toxin absorbed through the alimentary tract (Basalan et al 2006). This approach is practical, especially when when used with contaminated feed (Hueber et al 2004, Pimpukdee et al 2004, Kossolova et al 2009). Several reports have shown that adsorbents, such as activated charcoal, aluminosilicate, bentonite and zeolite effectively adsorb AFB1 in vivo (Rosa et al 2001, Khajarern et al 2003, Pasha et al 2007, Manafi 2011, Khadem et al 2012, Rao and Chopra 2012, Sadeghi et al 2012, Neeff et al 2013).

 

Previous reports have applied methods of isothermal analysis to characterize the adsorption of AF onto the surfaces of toxin binders (Grant and Phillips 1998, Pimpukdee et al 2000, Hinz 2001). These methods provide evidence of the molecular mechanisms involved with different binders and allow for comparisons of similarities and differences. Binders having distinctive molecular structures bind AFB1 differently (Phillips 1999). Reports comparing the binding capacity of Thai clays with commercial binders for adsorption capacities of AFB1 has been limited. Thus, the main objective of this study was to investigate the adsorption capacities and affinities of Thai bentonite from Lumphun Province and to compare it to other commercial toxin binders at different temperatures using Langmuir and Freundlich isotherm modeling approaches (Tengjaroenkul et al 2011).


Materials and Methods

Chemicals

 

Standard AFB1 was purchased from Sigma Chemical Co. (St. Louis, USA) and two commercial binders were obtained from Thai suppliers. Thai bentonite (TB) was collected from Lumphun Province having the highest adsorptive capacity (4.68x10-3 mol/kg) among 20 clay samples from different regions in Thailand (Tengjaroenkul et al 2011). All binders were sieved to achieve particle sizes less than 60 µm. Highly purified water was prepared by processing deionized water through a Milli-Quf+ system.

 

Construction of the aflatoxin B1 calibration curves

 

The standard curves for AFB1 determination were constructed by using a series of AFB1 solutions having the concentrations of 0.50, 1.00, 1.50, 2.00, 2.50, 3.00, 3.50, 4.00, 5.00, 6.50, and 8.00 ppm, respectively. Each standard solution was measured for absorbance at 362 nm by UV-VIS spectrophotometer, and subsequently the calibration graph was obtained by plotting the absorbance versus AFB1 concentration.

 

Study of adsorption isotherms

 

Three different toxin binders including the TB as well as the commercial bentonite (CB) and activated carbon (AC) from the Thai supplier were used in this study. A 10.0 mg of toxin binder was weighed out in a clean borosilicate test tube. To each tube, the 4 ml of AFB1 solution with each concentration of 0.50, 1.00, 1.50, 2.00, 2.50, 3.00, 3.50, 4.00, 5.00, 6.50, and 8.00 ppm were added to the toxin binder, giving a final concentration of 0.25% w/v. The mixtures were shaken at 200 x g for 24 hours at 25°C (Innova 4060 Shaker, New Brunswick Scientific, USA). Toxin control containing 4 ml of each AFB1 concentration without toxin binder were also prepared. The control and samples were centrifuged (Beckman Coulter, USA) at 12,000 x g for 30 min, to separate the toxin binder from the supernatant. The adsorbed amount of AFB1 onto each toxin binder was investigated from the concentration of AFB1 left in the solution determined by using UV-VIS spectrophotometer (Perkin Elmer, USA) at a wavelength of 362 nm (Grant and Phillips 1998, Pimpukdee et al 2000). All experiments were performed in triplicate. The data were applied to fit isotherm equations to characterize the adsorption behavior of AFB1 onto each toxin binder.

 

Later, the experimental data were transferred to the Microsoft Excel® program and fitted with the linearized Langmuir and linearized Freundlich models, and to compare these to the generalized Langmuir model (GLM), the generalized Freundlich model (GFM), and the modified Freundlich model (MFM) (Mayura et al 1998, Pimpukdee et al 2000, Doll et al 2004, Tengjaroenkul et al 2011) using 2D Table Curve program (Jandel Scientific, USA), which could characterize the adsorption behavior of AFB1 on each toxin binder.


Results

Construction of the AFB1 calibration curves

 

In order to determine the amounts of AFB1 concentrations left in all solutions, the calibration curve of the standard AFB1 solutions was established by plotting the standard AFB1 concentration (mol/L)(x-axis) against the absorbance (y-axis). In this work, the standard AFB1 solutions with concentrations ranging from 0.50 to 8.00 ppm were employed to construct the calibration curve. Each standard AFB1 solution was measured by using UV-VIS spectrophotometry for absorbance at a wavelength of 362 nm. Figure.1 presented the calibration curve and the adsorption data of AFB1 adsorption at 25oC.

Figure 1: Calibration curve of the standard AFB1 solution at 25oC.
Study of adsorption isotherms

 

In this work, toxin binders were examined for adsorption of AFB1 in vitro. Adsorption capacities were obtained by plotting the adsorbed AFB1 versus the concentration of AFB1 at equilibrium. The data representing the mean adsorption of AFB1 onto the binders from three replicate experiments at 25oC are shown in Figure 2.

Figure 2: Mean adsorption capacities for AFB1 on: (a) TB, (b) CB and (c) AC, at 25oC.

The plots in Figure 2 present the adsorption levels of AFB1 on the different binders as a function of increasing aqueous AFB1 concentrations after equilibrium for 24 hr. The extent of adsorption increased with the initial concentration increasing from 0.50 to 8.00 ppm. Overall, the adsorption behaviors of AFB1 were similar, with differences in the amounts adsorbed. The linearized Freundlich and linearized Langmuir plots for AFB1 adsorption onto the TB, CB and AC can be seen in Figure 3 and 4, respectively. The comparison of fitting characteristics achieved for the two linearized isotherm models for three toxin binders at 25oC are also shown in Table 1.

Figure 3: The linearized Langmuir plots for AFB1 adsorption on: (a) TB, (b) CB and (c) AC, at 25oC.

Figure 4: The linearized Freundlich plots for AFB1 adsorption on: (a) TB, (b) CB and (c) AC, at 25oC.

Table 1: Comparing of fitting characteristics of isotherm data obtained from the linearized Langmuir and Freundlich models at 25oC

Toxin binder

LM*

FM**

r 2

r 2

n f

K f

TB

0.4626

0.8961

3.39

1.82x1016 c

CB

0.7405

0.9731

2.12

1.35x109 b

AC

0.5739

0.9799

1.63

9.27x107 a

*LM is linearized Langmuir model, **FM is linearized Freundlich model,
TB: Thai bentonite, CB: Commercial bentonite, AC: Commercial activated carbon,
r 2: Correlation coefficient, n f: Affinity constant, K f: Adsorption capacity (mol/kg),
a,b,c Different superscripts are significantly different (p<0.05).

Table 1 reveals that the Freundlich model of three binders resulted in correlation coefficients (r2) around 0.9 or more, whereas the r2 of the Langmuir model of all binders were lower than 0.75. The adsorption capacities of the TB, CB and AC were around 1.82x1016, 1.35x109 and 9.27x107 mol/kg, respectively, and the affinity constants for the commercial toxin binder, the TB, CB and AC were 3.39, 2.12 and 1.63, respectively. From the values of adsorption capacity and affinity constants, it was found that the TB was most effective for adsorbing AFB1 from aqueous solutions, followed by the CB and AC, respectively, and had significantly greater adsorption capacities than CB and AC (p<0.05).

 

In order to understand the nature of adsorption occurring on the surface of the toxin binder, adsorption isotherm at different temperatures were applied in this study. The experiments were carried out at three different temperatures: 25o, 37o and 45oC. The data from isothermal analysis were calculated and plotted as the amount of AFB1 adsorbed (q) versus the AFB1 concentration (Ce). Adsorption isotherms of AFB1 on the TB, CB and AC at 25o, 37o and 45oC are illustrated in Figure 5. Furthermore, it was found that the adsorbed amount of AFB1 significantly decreased when temperature was increased from 25oC to 45oC (p<0.05). The highest degree of adsorption of AFB1 obtained at 25oC.

Figure 5: Adsorption isotherms of AFB1 for binders: (a) TB, (b) CB and (c) AC, at 25o, 37o and 45oC.
TB: Thai bentonite, CB: Commercial bentonite, AC: Commercial activated carbon.

The isotherms of the linearized Langmuir and Freundlich models were fitted to the experimental data to obtain the values of the adsorption capacity and affinity constants for all toxin binders. These two approaches at different temperatures are summarized and presented in Table 2.

 

The results in Table 2 demonstrated that the adsorption capacity for AFB1 increased as the temperature decreased. The high correlation coefficients (r2) of all toxin binders in the linearized models were much greater in the Freundlich model than the Langmuir model.

Table 2: The linearized Langmuir and Freundlich fitting characteristics of isothermic data obtained from adsorption of AFB1 onto three toxin binders at different temperatures.

Toxin binder

Temperatures
(oC)

LM*

FM**

r 2

r 2

n f

K f

TB

25

0.4626

0.8961

3.39

1.82x1016 c

CB

25

0.7405

0.9731

2.12

1.35x109 b

AC

25

0.5739

0.9799

1.63

9.27x107 a

TB

37

0.4527

0.9633

3.18

1.01x1015 c

CB

37

0.1783

0.9574

2.07

9.35x108 b

AC

37

0.0106

0.9905

1.04

1.33x104 a

TB

45

0.4755

0.9728

3.07

2.77x1014 c

CB

45

0.2306

0.9444

1.90

4.72x107 b

AC

45

0.4714

0.9791

0.77

3.48x102 a

*LM is linearized Langmuir model, **FM is linearized Freundlich model,
TB: Thai bentonite, CB: Commercial bentonite, AC: Commercial activated carbon,
r 2: Correlation coefficient, n f: Affinity constant, K f: Adsorption capacity (mol/kg),
a,b,c Different superscripts are significantly different (p<0.05).

The adsorption ability of each toxin binder for AFB1 was significantly different when considering the adsorption capacity and affinity constants (p<0.05)(Table 2). The TB had greatest adsorption ability for AFB1, and had both the highest adsorption capacity and affinity constants for AFB1. The CB demonstrated good adsorption capability, whereas, AC adsorbed less AFB1 from the aqueous solution.

Experimental data were also transferred to the 2D Table Curve program. The isotherm equations in Table 3 to 4 were entered as user-defined functions. Each function has limits and beginning values or first approximations for the variable parameters. The values of the estimated maximum capacity (Qmax) and the distribution coefficient (Kd) were obtained from the double-logarithmic plot of these isotherms. The plots normally present a break in the curve. The value on the x-axis is an estimation of Kd-1 and Qmax is an estimate from the y-axis where the curve breaks. These values were entered into user-defined functions

Table 3: Isotherm equations used to fit the experimental data of AFB1 adsorption on different toxin binders from the 2D Table Curve program (Grant and Phillips 1998).

Model

Fitting Equation

Generalized Langmuir model (GLM)

q = Qmax

Generalized Freundlich Model (GFM)

q = Qmax n

Modified Freundlich Model (MFM)

q = Qmax (KdCe)n

q: Adsorbed amount (mol/kg), Ce: Equilibrium concentration (mol/L),
Q max: Estimated maximum capacity (mol/kg), K d: Distribution coefficient,
n: Heterogeneity factor of the toxin binder.


Table 4: User-defined functions used to fit the 2D Table Curve program.

Model

Fitting Equation

Generalized Langmuir model (GLM)

Y=(A0*A1*X)/(1+A1*X)

Generalized Freundlich Model (GFM)

Y=A0*((A1*X)/(1+(A1*X)))ÙA2

Modified Freundlich Model (MFM)

Y=A0*(A1*X)ÙA2

Y: q, X: Ce, A0: Qmax, A1: Kd, A2: n

The best-fit isotherms for AFB1 adsorption onto three toxin binders at 25oC are presented in Figure 6.

Figure 6: The best-fit isotherms for the adsorption of AFB1 onto: (a) TB, (b) CB and (c) AC.
TB: Thai bentonite, CB: Commercial bentonite, AC: Commercial activated carbon.

Table 5: Fitting characteristics for the best-fit isotherms

Toxin binder

r 2 of fitting model

Fitting characteristicsa*

GLM

GFM

MFM

Q max

K d

n

TB

0.589

0.985b*

0.967

6.75x10-2 c

1.43x1011

1.21

CB

0.692

0.977

0.979b*

4.52x10-3 a

2.52x105

2.82

AC

0.903

0.972b*

0.961

3.32x10-2 b

2.46x106

3.19

TB: Thai bentonite, CB: Commercial bentonite, AC: Commercial activated carbon.
a*Fitting characteristics from the best fit isotherm, b*The best fit isotherm for each toxin binder,
GLM: Generalized Langmuir model, GFM: Generalized Frendlich model, MFM: Modified Freundlich model, r 2: Correlation coefficient, Q max: Estimated maximum capacity (mol/kg), K d: Distribution coefficient, n: Heterogeneity factor of the binder.
a,b,c Different superscripts are significantly different (p<0.05).

From the best-fit isotherms, it was demonstrated that the estimated maximum capacities for the TB, CB and AC were 6.75x10-2, 4.52x10-3 and 3.32x10-2 mol/kg, respectively, and the distribution coefficients for each were 1.43x1011, 2.52x105 and 2.46x106, respectively. The heterogeneity factor for the TB, CB and AC were 1.21, 2.82 and 3.19, respectively (Table 5). Among the studied toxin binders, TB was the best toxin binder for the adsorption of AFB1 from aqueous solutions as demonstrated by the significantly higher estimated maximum capacity (p<0.05), the distribution coefficient and the heterogeneity factors (Table 5).


Discussion

Study of absorption isotherms

 

The linearized Langmuir and linearized Freundlich adsorption isotherm data representing the mean adsorption of AFB1 onto the TB, CB and AC at 25oC increased as the AFB1 concentration increased. However, AFB1 seems to prefer activated carbon for the fastest adsorption. The linearized Langmuir and Freundlich isotherm models were applied to characterize the adsorption behavior, and estimate values of the adsorption capacity and affinity constants for each toxin binder. The Langmuir model is a simple model based on monolayer adsorption onto a surface, while the Freundlich model is an empirical equation used for the description of multilayer adsorption with interaction between adsorbed molecules and heterogeneous surfaces with a uniform energy distribution and reversible adsorption (Hinz 2001, Gimbert et al 2008). The Langmuir constants were calculated from the plots of Ce/q versus Ce. The Freundlich constants, the adsorption capacity (Kf) and the affinity constants (nf), were obtained from the linear plot of log q against log Ce. The intercept of the line is an indicator of the adsorption capacity, and the slope is an indication of the affinity constant. The value of Freundlich’s constant can be correlated and used to predict the adsorption capability of the binder.

 

Table 1 reveals that the Freundlich model represented a better fit for the experimental data than the Langmuir model, as indicating from the high values of correlation coefficients (r2). This implied that the adsorption behavior of AFB1 on these toxin binders were multilayer/multiple site adsorptions on heterogeneous surfaces. The adsorption was not limited to a monomolecular layer, but could continue to adhere to the multi-molecular layers of the toxin binder surface (Ruthven 1984).

 

It was found that TB was highly effective for the adsorption AFB1 from aqueous solutions as it had the highest adsorption capacity and affinity constants, followed by the CB and AC, respectively. TB is a clay-based material consisting mainly of montmorillonite and it demonstrated the highest cation exchange capacity (CEC) and conductivity. In general, montmorillonite clays are very soft phyllosilicate minerals that typically form microscopic crystals (Gimbert et al 2008). They can swell considerably more than other clays with the addition of water. TB also has the property of adsorbing organic substances either on its external surfaces or within it inter-laminar spaces by the interaction with or substitution for the exchange cations presented in these spaces (Ramos and Hernandez 1996, Abdel-Whalab et al 2002). Therefore, this binder is highly effective for the adsorption of AFB1 from aqueous solutions, and it is commonly used as an anticaking agent in animal feeds throughout the world (Yang 2003, Afriyie-Gyawu et al 2005). Similarly, CB demonstrated good adsorption capability for AFB1 in vitro and this commercial bentonite is also a clay material of hydrated aluminosilicate, primary composed of montmorillonite as its major constituent. Therefore, bentonite has received considerable recognition as a toxin binder similar to other commercial toxin binders.

 

AC also adsorbed AFB1 from the aqueous solutions because of its activated carbon surface that is non-polar or only slightly polar, which results in high affinity for non-polar adsorbates, such as organics (Yang 2003). It also has a large surface area and adsorbs compounds primarily by hydrogen bonding (Huwig et al 2001, Lemke et al 2001a,b). In aqueous solutions, it can adsorb most of mycotoxins efficiently. AC is a relatively unspecific toxin binder that adsorbs not only mycotoxins, but also essential nutrients and it has been shown that high doses of AC are beneficial in acute poisoning situations.

Table 5 presents values of estimated maximum capacity, the distribution coefficient and the heterogeneity factor, obtaining from the best-fit isotherm models. From these results, it shows that the generalized Freundlich model is the best fit for the results of most of the toxin binders, as demonstrated by the higher correlation coefficients at 25oC. The generalized Freundlich model is a basic equation used mostly to explain multilayer adsorption with interaction between adsorbed molecules at low concentrations, whereas the modified Freundlich model is a reduced form used when the equilibrium concentration is very low. These models are sufficiently flexible to give a good representation of the data and appears to reduce the error of the estimated parameters. Consequently, the Freundlich models are better representation of the experimental data than the linearized Langmuir models.


Conclusions


Acknowledgements

Financial support was provided by the Higher Education Research Promotion and National Research University Project of Thailand, Office of the Higher Education Commission;   the Research Group on Toxic Substances in Livestock and Aquatic Animals, Khon Kaen University, and Faculty of Veterinary Medicine, Khon Kaen University. The authors thank Dr. Frank F. Mallory for reviewing the manuscript.


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Received 10 August 2015; Accepted 29 February 2016; Published 1 April 2016

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