Abstract
The consumption of synthetic detergents is increasing year by year due to increasing urbanization, which reflects on higher concentration of this pollutant in the environment. In order to purify wastewaters from different pollutants, the application of new technologies such as bioremediation is necessary. From the environmental point of view, it is important to identify microorganisms that are tolerant to the presence of this pollutant. This chapter presents the experimental evaluation of ability of several fungal species, isolated from municipal sewage and industrial wastewater, in removing a high detergent concentration (anionic surfactants) from the environment as well as their potential application in biotechnology. The selected fungi were cultivated in Czapek-Dox liquid medium supplemented with commercial detergent “Merix” (Henkel, Kruševac, Serbia). Changes of physicochemical and biochemical parameters such as pH, redox potential, dry weight biomass, and enzymes activities such as alkaline protease and phosphatase were evaluated during 16 days of cultivation. The obtained results could be useful in the implementation of tested fungi in bioremediation processes and in biotechnology.
Keywords
- alkaline protease
- alkaline phosphatase
- biodegradation
- commercial detergent
- fungi
1. Introduction
The detergents that we use for our daily laundry have been recognized as one of the major pollutants responsible for water pollution [1]. Detergents are synthetic organic compounds, which contain three main ingredients (%): phosphate builders (50% by weight, approximately), surface-active substances (surfactants) (between 10 and 20%), and bleaches (7%), as well as very small percentages of additives (wetting agents, optical brighteners, softeners, and enzymes). Surfactants are the components mainly responsible for the cleaning action of detergents, whereas the additives are designated to enhance the cleaning action of surfactants [2]. Surfactants commonly used as main ingredients in commercial detergents are linear alkyl-benzene sulfonates (LASs) (anionic) and ethoxylated alcohols (AEs) (nonionic) [3]. Commercial LAS also contain coproducts called dialkyltetralinsulphonates (DATS) and iso-LAS. Furthermore, over 70 major isomers of DATS have been detected in commercial LAS [4]. The molecular structure of a synthetic detergent influences its biodegradation potential, which is the principal criterion for their ecological behavior. The biodegradation rate and acute toxicity of LAS on aquatic life are very much related to both the chain length and phenyl position of the alkyl chain [5, 6].
The main environmental impact of detergents is related to their post use effect when the wash water is discharged into sewage treatment plants (STPs) or discharged directly to the aquatic environment in areas where there is no sewage treatment [7]. These compounds can act on biological wastewater treatment processes and cause problems in sewage aeration and treatment facilities due to their high foaming, lower oxygenation potentials, and the ability to kill waterborne organisms [8]. Biodegradation processes and adsorption on active sludge remove these chemicals from wastewater to a greater or lesser extent, depending on the chemical structure of the surfactant molecule and operating conditions of the STP. Under aerobic conditions, LAS is degraded through ω-oxidation of terminal carbon in the alkyl chain followed by
Traditional methods for the reduction of pollutants and environmental cleanup contain combination of physical, chemical, and biological methods [12, 13]. Bioremediation, as less expensive and eco-friendly alternative to conventional technology for decontaminating environment from wide range of pollutants by microorganisms, has been extensively studied during past two decades [14]. Mycoremediation is a type of bioremediation, which uses fungal mycelium to decontaminate or filter the toxic waste from contaminated area. Filamentous fungi have the ability to grow and transform or degrade hazardous compounds in polluted environment, as response to severe environmental conditions [15]. Because of that, they represent power useful potential in bioremediation processes. The numerous examples of fungi used in biodegradation of certain toxic pollutants (petroleum hydrocarbons, chlorofenols, pesticides, nitroaromatic explosives, etc.) have been observed [16–20]. The potential of filamentous fungi in removing of commercial detergent has been continuously studied over the past three decades by Stojanović et al. [21–23]. These studies identified a total of 15 strains of
The ability of filamentous fungi to produce and excrete a variety of extracellular hydrolytic enzymes is significant not only for bioremediation processes but also for fermentation industries and biotechnology. This study was focussed on two types of hydrolases: alkaline protease and phosphatase, due to their importance in different industrial areas. Proteases (EC 3.4.21-24 and 99) are one of the key enzymatic constituents in detergent formulation in which they act as protein stain removers. They represent about 60% of total worldwide sale of enzymes. The most significant commercial detergent protease additives (Savinase®, Esperase®, Alcalase®, etc.) are produced by
***Alkaline phosphatase (ALP: EC 3.1.3.1) catalyzes the hydrolytic cleavage of phosphate monoesters under alkaline conditions and plays important roles in microbial ecology through its involvement in phosphate metabolism [27] and molecular biology [28] applications. There has been considerable effort in recent years toward the application of ALPs for bioremediation of heavy metals and radionuclides from nuclear wastes [29]. ALP can be isolated from variety of microorganisms including
The aim of the study was isolation of fungi (micromycetes) from municipal sewage wastewater originating from households and industrial wastewater from Henkel factory (Kruševac, Serbia); selection of fungi strains that are tolerant to a high detergent concentration; cultivation of selected fungi in Czapek-Dox liquid medium supplemented with commercial detergent mark “Merix” (Henkel, Serbia), and
2. Materials and methods
2.1. Isolation and identification of fungi
The fungi used in this work were isolated from wastewater samples, which contain commercial detergents. The wastewater samples were collected from rivers basins of Lepenica (Kragujevac, Serbia) and West Morava (Čačak, Serbia), at places where municipal wastewater discharges into the rivers. In addition, samples of wastewater were collected from river basin of Rasina (Kruševac, Serbia), downstream where the industrial wastewater of factory Henkel discharges into the river. Samples of wastewaters were taken in sterile glass bottles, transferred to the microbiology laboratory and disposed to refrigerate at 4°C. Within 24 hours, different dilutions of samples were transferred on Petri plates with malt agar and streptomycin to prevent the bacterial growth. The Petri plates were maintained at room temperature for 5 days. Positive cultures of fungi were subcultured on malt agar (MA) and potato dextrose agar (PDA) for the isolation of a pure, single colony for identification.
The identification of pure fungal cultures was carried out according to Systematic key at the Faculty of Science, University of Kragujevac, Serbia, by Prof. Branislav Ranković. For spores production, pure cultures were aseptically maintained at (28 ± 2)°C from 3 to 5 days on PDA, composed of (g/L): peeled potatoes 200, dextrose 20, and agar 15. After having sufficient population of spores, the plate were stored at (4 ± 0.5)°C with periodical subculturing in sterile conditions.
2.2. Inoculum preparation
An inoculum suspension was prepared from fresh, mature cultures of selected fungal species. The colonies were covered with 5 mL of distilled sterile water. The inoculum was achieved by carefully rubbing the colony with a sterile loop; the tube with isolate was shaken vigorously for 15 seconds with a Vortex mixer and then transferred to a sterile tube. The inoculum size was adjusted to 1.0 × 106 spores/mL by microscopic enumeration with a cell-counting hematocytometer (Neubauer chamber).
2.3. Experimental procedure and culture conditions
The fungi were grown in 250 mL Erlenmeyer flasks with 200 mL of modified Czapek Dox liquid nutrient medium the following composition (g/L): NaNO3 is 3.0; K2HPO4 is 1.0; MgSO4 × 7H2O is 0.5, and sucrose is 30.0 and distilled water up to 1000 mL (control-C). The pH value of this liquid media was about 4.80 (adjusted with 0.1 M HCl). The media with addition of detergent “Merix” (Henkel, Serbia) at concentrations of 0.3% (D3) and 0.5% (D5) were prepared according to same procedure. The pH values of these media were measured and recorded as 9.35 and 9.80, respectively. All flasks were sterilized at 121°C in an autoclave for 15 minutes. After cooling the liquid media to room temperature, 1 mL spore suspension of each fungus was inoculated in liquid media in aseptic condition. Inoculated flasks were incubated on an electric shaker (Kinetor-
2.4. The measurement of dry weight (DW) biomass
At the time intervals above-mentioned, the mycelium of each fungus was filtered through filter paper (Whatman No. 1) of a known weight, washed with distilled water and dried at constant weight at 80°C. The filter paper with the mycelium was placed in the desiccator and then reweighed. Mycelium DW was calculated using the Eq. (1), and results are expressed in grams per liter (g/L) of submerged culture.
where DW is total biomass dry weight, Wcf is weight of culture with filter paper, and Wif is initial weight of filter paper.
2.5. The measurement of pH and redox potential values
The pH and redox potential values of the culture filtrates were measured by digital PHS-3BW microprocessor pH/mV/temperature meter model 65-1 (Bante Instruments Ltd., China) with reference electrode Ag/AgCl/3 mol/kg KCl that was initially standardized with appropriate buffer solution of pH 4.0, 7.0, and 10.0. The redox potential values are expressed in mV, and are calculated using the following Eq. (2):
where
2.6. Determination of concentration of anionic surfactants (ASs) and calculation of biodegradation rate
The concentration of ASs in the detergent and fermentation broth was determined by spectrophotometrically using methylene blue (MB). The method for determining the concentration of methylene blue-active substance (MBAS) in the detergents was adapted from

Scheme 1.
Mechanism of formations an ionic pair methylene blue-active substance (AS-MB) between the anionic surfactants (AS) and the methylene blue (MB).
The solutions of detergent were transferred into the separatory funnels. One drop of 1% phenolphthalein solution as indicator was added to the detergents solutions, afterward 1 M NaOH was adding until obtained change in color from colorless to pink. Then, 1 M H2SO4 was added carefully until the solution in the funnel had become acidic, which is reflected in appearance of colorless. The procedure of extraction was continued by adding 5 mL chloroform and 13 mL methylene blue reagent in each funnel. The funnels were shaken about 30 seconds. In order for phase’s separation the funnels were stored at ambient temperature for at least 30 minutes. Thereafter, the chloroform layer was decanted into a clear 100 mL Erlenmeyer bottle. The same procedure was repeated three times employing 5 mL of chloroform for each time. The chloroform layers were collected in a 100-mL Erlenmeyer bottle and then reversible transferred to the separatory funnel. To each funnel, 25 mL of wash solution (6.7 × 10−3 1 M phosphate buffer, pH 7.1) was added; then they were shaken once more for 30 seconds and stored at ambient temperature for 30 minutes. Finally, the chloroform layer was drawn off through glass wool into a 50-mL volumetric flask. Absorbance of chloroform layer was measured using Perkin-Elmer Lambda 25 UV-Vis spectrophotometer at 652 nm against blank chloroform. The concentration of the residual surfactant present in test detergent in terms of MBAS were then plotted against the time (days) for the 16-day experimental period. The result obtained with the SDS (Fluka, Switzerland), an alkylsulfate anionic surfactant, as the referent anionic surfactant compound served as the standard. The percentage of surfactants degradation was calculated using Eq. (3):
where A625
2.7. Assay of alkaline protease activity (EC 3.4.21-24)
The protease activity was assayed by the Anson method [35]. The fermentation broth (1 mL) was mixed with 5.0 mL of substrate (0.65% casein in 25 mM tris-HCl buffer, pH 8.0), was incubated at 37°C for 30 minutes. After incubation, 1 mL of 5% trichloroacetic acid (TCA) was added to attenuate the reaction. The mixture was allowed to incubate for 30 minutes at room temperature and filtered to remove the precipitate. 5 mL of 6% Na2CO3 and 1 mL of diluted Folin-Ciocalteu’s phenol reagent were then added to the filtrate. The solution was kept at room temperature for 30 minutes and absorbance was read at 660 nm. A standard curve was generated using tyrosine standard. One unit enzyme activity was defined as the amount of enzyme capable of producing 1 µg of tyrosine from casein in a minute under assay condition.
2.8. Assay of alkaline phosphatase activity (EC 3.1.3.1)
The activity of alkaline phosphatase (ALP) was assayed by using
2.9. Statistical analysis
Statistical analysis was performed using SPSS statistical software package (SPSS for Windows, ver. 13.0, Chicago, IL, USA). For testing the normality of distribution, means and standard deviation, student
3. Results and discussion
3.1. Identification and selection of fungi species used in this study
From collected samples of wastewaters the following fungi were identified:
Systematic and morphological (macro- and microscopic) characterizations of isolated species are reported in Table 1.

Table 1.
3.2. Effect of commercial detergent on fungal biomass and growth curves
Biomass is an indicator of fungal metabolic activity and their bioremediation potential. Very important factor for biodegradation processes is physicochemical interaction between surfactants and fungal membranes and cell wall [47]. Further, the surfactants can cause inhibitory or stimulatory effect on enzymes involved in key metabolic pathways and change their metabolic activity in these two ways. Overview of the literature provides the evidences that growth of fungi depends on the type of surfactant in such a way that nonionic surfactants, Triton X-100 and Tween 80 supported, whereas anionic-type surfactant, SDS, inhibited their growth [48]. An investigation of the impact of surfactants on the growth and development of fungi is not simple process due to numerous factors such as applied concentration of surfactants, type of fungus and its genetic properties, experimental conditions, and so on influence these processes.
The current study investigated the effect of commercial-powdered detergent “Merix” (Henkel, Kruševac, Serbia) on the growth and development of five fungi species, which were quantitatively dominated in wastewaters. Previously, the maximal concentration of detergent on which fungi can grow was determined and defined as 3 mg/mL or 0.3% for all tested fungi with exception of

Figure 1.
Fungal biomass dry weight and growth curves:
3.3. Biodegradation rate of anionic surfactants incorporated in detergent and its relationship according to fungal biomass dry weight
The next step in this study was confirmation and comparison ability of the fungi to degrade anionic surfactants (ASs) of detergent in terms of their potentially application in bioremediation processes. First, it is defined percentual share of ASs in the tested detergent (about 20%) by MBAS assay. By conversion of percentage, it was obtained 600 and 1000 µg/mL of ASs in D3 and D5 media. The concentration of ASs during 16-day cultivation of fungi in liquid medium was monitored and compared with negative controls (abiotic). They were used in order to monitor the stability of detergent during the cultivation time and a process of its adsorption on the walls of glass (flasks). The obtained results were presented in Figure 2.

Figure 2.
(a) Biodegradation rate of ASs, (b) relationship between concentration of ASs and fungal biomass dry weight:
Over a period of 16 days, the tested fungi were degraded different amount of ASs, depending on fungi species and their locality (wastewater sample) [49–53]. The initial concentration of ASs in D3 medium decreased continuously with the growth and development of mycelia. The highest biodegradation rate was observed during the first exponential growth phase of
From the equation of regression curves for each fungus (Figure 2) it was calculated the time needs for biodegradation at 80% of ASs (detergent). By this statistical test, the time predicted for the removing 80% of ASs, using
As the literature review does not provide quantitative information about the capacity of fungi to degrade ASs, the current results can only be compared with results obtained on bacterial species. The biodegradation capacity of
3.4. Changes of physicochemical parameters (pH and redox potential)
The normal functioning of basic cell processes and biodegradation reactions are closely related with acid-base and oxidation-reduction reactions. The acidic pH value (range 4.5–5.0) is necessary for the optimal growth of most fungi. On the other hand, the pH values between 6.5 and 8.5 are optimal for biodegradation processes in most aquatic and terrestrial systems, and pH values between 5.0 and 9.0 are considered acceptable. Bearing in mind their significant impact on mentioned processes, this study considered the changes of the pH values of media in all phases of fungal growth. The results are presented in Table 2.
pH (Units) | Redox potential (mV) | ||||||
---|---|---|---|---|---|---|---|
Fungi | Day | C | D3 | D5 | C | D3 | D5 |
3 | 3.92 ± 0.10 | 9.13 ± 0.26 | - | 390 ± 4 | 91 ± 2 | - | |
6 | 3.12 ± 0.15 | 6.49 ± 0.20 | - | 434 ± 2 | 238 ± 0.4 | - | |
9 | 2.53 ± 0.10 | 7.06 ± 0.10 | - | 457 ± 2 | 207 ± 5 | - | |
12 | 2.73 ± 0.18 | 5.63 ± 0.15 | - | 441 ± 5 | 309 ± 3 | - | |
16 | 2.52 ± 0.12 | 5.59 ± 0.28 | - | 435 ± 5 | 392 ± 5 | - | |
3 | 5.26 ± 0.10 | 9.12 ± 0.25 | - | 312 ± 0.1 | 91 ± 0.4 | - | |
6 | 3.77 ± 0.15 | 6.07 ± 0.20 | - | 403 ± 5 | 261 ± 2.5 | - | |
9 | 3.42 ± 0.23 | 6.36 ± 0.29 | - | 397 ± 3 | 246 ± 2 | - | |
12 | 3.44 ± 0.19 | 6.05 ± 0.25 | - | 401 ± 10 | 271 ± 5 | - | |
16 | 3.61 ± 0.15 | 7.02 ± 0.16 | - | 388 ± 8 | 210 ± 1 | - | |
3 | 5.78 ± 0.14 | 7.89 ± 0.23 | - | 281 ± 0.1 | 101 ± 0.5 | - | |
6 | 6.68 ± 0.18 | 7.89 ± 0.25 | - | 229 ± 0.5 | 111 ± 0.5 | - | |
9 | 6.92 ± 0.10 | 7.29 ± 0.19 | - | 213 ± 2 | 247 ± 1 | - | |
12 | 5.63 ± 0.15 | 7.37 ± 0.15 | - | 283 ± 2.5 | 279 ± 1 | - | |
16 | 6.21 ± 0.20 | 6.48 ± 0.25 | - | 272 ± 2 | 243 ± 2 | - | |
3 | 5.40 ± 0.15 | 8.95 ± 0.26 | - | 299 ± 1 | 90 ± 2 | - | |
6 | 4.82 ± 0.20 | 8.75 ± 0.24 | - | 336 ± 0.5 | 97 ± 0.5 | - | |
9 | 4.56 ± 0.10 | 6.33 ± 0.15 | - | 341±2.5 | 261 ± 0.1 | - | |
12 | 4.67 ± 0.18 | 5.90 ± 0.15 | - | 335 ± 0.5 | 290 ± 2 | - | |
16 | 4.44 ± 0.12 | 6.48 ± 0.28 | - | 344 ± 2 | 301 ± 2 | - | |
3 | 5.24 ± 0.10 | 6.24 ± 0.25 | 9.36 ± 0.14 | 313 ± 1.6 | 250 ± 2 | 79 ± 2 | |
6 | 6.13 ± 0.15 | 6.37 ± 0.20 | 6.46 ± 0.10 | 261 ± 1.8 | 245 ± 2.5 | 240 ± 1.4 | |
9 | 6.01 ± 0.23 | 6.14 ± 0.29 | 6.89 ± 0.05 | 262 ± 2.5 | 257 ± 1 | 217 ± 2 | |
12 | 5.87 ± 0.19 | 6.36 ± 0.25 | 6.31 ± 0.12 | 270 ± 0.2 | 294 ± 2 | 257 ± 2.2 | |
16 | 5.80 ± 0.15 | 5.50 ± 0.16 | 5.62 ± 0.08 | 272 ± 2 | 297 ± 2 | 290 ± 2.5 |
Table 2.
Changes in the pH and redox potential values of media.
The initial pH values recorded in C, D3, and D5 media were 4.80, 9.35, and 9.85 units, respectively. During cultivation of fungi, the pH values of C, D3, and D5 media were changing in relation to their composition, type of fungi, and the growth phases. These changes are influenced by the uptake of anions or cations from the medium by the fungal cells [60, 61] and excretion of organic acids in medium [62]. Over a period of 16 days, the pH values of the C media of
The pH values of the D3 media decreased throughout the cultivation time, except in phase of autolysis. The most significant changes in the pH values were observed during the first exponential growth phase of
The
3.5. Fungal alkaline protease (EC 3.4.21-24) activity
Alkaline proteases have been maximally exploited in food, leather, silk, detergent industries, and waste management. The use of alkaline protease as active ingredient in laundry detergent is the single largest application of this enzyme [68]. From this aspect, isolation and characterization of new promising microbial strains is a continuous process [69]. For the practical application of alkaline proteases in detergents industry, the following conditions are important: their compatibility with the detergent, efficiency at lower temperatures, and stability.
The current study investigated the effect of tested commercial detergent on alkaline protease activity of selected fungi species, and results are presented in Table 3. In C medium, the maximum enzyme activity was produced by
Alkaline protease activity | Alkaline phosphatase activity | ||||||
---|---|---|---|---|---|---|---|
Fungi | Day | C | D3 | D5 | C | D3 | D5 |
3 | 0.18 ± 0.15 | 0.09 ± 0.26 | - | 12.60 ± 0.15 | 1.65 ± 0.26 | - | |
6 | 0.001 ± 0.20 | 0.67 ± 0.24 | - | 0.07 ± 0.20 | 17.74 ± 0.24 | - | |
9 | 0.002 ± 0.10 | 0.001 ± 0.15 | - | 21.57 ± 0.10 | 24.14 ± 0.15 | - | |
12 | 0 | 0.001 ± 0.15 | - | 0 | 24.31 ± 0.15 | - | |
16 | 0.13 ± 0.12 | 0 ± 0.28 | - | 2.57 ± 0.12 | 11.19 ± 0.28 | - | |
3 | 0.004 ± 0.10 | 0.005 ± 0.25 | - | 5.10 ± 0.10 | 9.79 ± 0.25 | - | |
6 | 0.03 ± 0.15 | 0.001 ± 0.20 | - | 0.21 ± 0.15 | 8.40 ± 0.20 | - | |
9 | 0.15 ± 0.23 | 0.03 ± 0.29 | - | 25.00 ± 0.23 | 1.17 ± 0.29 | - | |
12 | 0.31 ± 0.19 | 0.01 ± 0.25 | - | 3.45 ± 0.19 | 8.23 ± 0.25 | - | |
16 | 0.29 ± 0.15 | 0.01 ± 0.16 | - | 0.10 ± 0.15 | 18.29 ± 0.16 | - | |
3 | 0.26 ± 0.14 | 0.03 ± 0.23 | - | 31.71 ± 0.14 | 18.36 ± 0.23 | - | |
6 | 0.01 ± 0.18 | 0.64 ± 0.25 | - | 96.58 ± 0.18 | 9.76 ± 0.25 | - | |
9 | 0.73 ± 0.10 | 0.03 ± 0.19 | - | 22.26 ± 0.10 | 19.14 ± 0.19 | - | |
12 | 0.22 ± 0.15 | 0.09 ± 0.15 | - | 12.57 ± 0.15 | 4.79 ± 0.15 | - | |
16 | 0.003 ± 0.23 | 0.01 ± 0.20 | - | 0.35 ± 0.23 | 15.21 ± 0.20 | - | |
3 | 0.23 ± 0.15 | 0.05 ± 0.26 | - | 0.55 ± 0.15 | 9.57 ± 0.26 | - | |
6 | 0.27 ± 0.20 | 0.59 ± 0.24 | - | 0.07 ± 0.20 | 0.02 ± 0.24 | - | |
9 | 0.01 ± 0.10 | 0.03 ± 0.15 | - | 0.55 ± 0.10 | 21.37 ± 0.15 | - | |
12 | 0 ± 0 | 0.63 ± 0.15 | - | 10.21 ± 0.18 | 4.87 ± 0.15 | - | |
16 | 0.03 ± 0.12 | 0.01 ± 0.28 | - | 4.21 ± 0.12 | 26.24 ± 0.28 | - | |
3 | 0.001 ± 0.10 | 0.03 ± 0.25 | 0.10 ± 0.01 | 2.43 ± 0.10 | 0.07 ± 0.25 | 2.41 ± 0.21 | |
6 | 0.15 ± 0.15 | 0 ± 0 | 0.03 ± 0.01 | 73.34 ± 0.15 | 4.86 ± 0.20 | 8.98 ± 1.45 | |
9 | 0.14 ± 0.23 | 0.001 ± 0.29 | 0.001 ± 0 | 26.64 ± 0.23 | 28.64 ± 0.29 | 24.48 ± 1.92 | |
12 | 0.15 ± 0.19 | 0.002 ± 0.25 | 0.07 ± 0.02 | 9.00 ± 0.19 | 28.56 ± 0.25 | 0.43 ± 0.02 | |
16 | 0.002 ± 0.15 | 0.002 ± 0.16 | 0.013 ± 0.01 | 6.54 ± 0.15 | 2.43 ± 0.16 | 16.26 ± 0.16 |
Table 3.
Activity of alkaline protease and phosphatase of fungi.
Overview of the literature provides contradictory results about the impact of pure surfactants or commercial detergents on activity and stability of alkaline proteases of microbial origin. Choudhary and Jain [70] have reported the detergent compatibility of the alkaline protease of
3.6. Activity of alkaline phosphatase (EC 3.1.3.1) of fungi
Alkaline phosphatase (ALP) enzyme hydrolyzes the phosphomonoesters from number of organic molecules like ribonucleotides, deoxyribonucleotides, proteins, alkaloids, phosphate esters, and anhydrides of phosphoric acid [74] ALP enzymes are involved in various biological processes (cell cycle, differentiation, etc.) and industries; therefore have a wide range of applications [75]. Since the relevant literature provide the information about production of the enzyme only using bacterial strains, the current study investigated the potential of selected fungi to produce ALP. The obtained results are presented in Table 3.
In C medium, the maximum enzyme activity was produced by
4. Conclusions
The main conclusion of this study is that all fungi showed the ability to degrade a high concentration of tested detergent during experimental period of 16 days. The fungi
Acknowledgments
This research was financially supported by Serbian Ministry of Education, Science and Technology Development (Grant numbers III 43004).
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