The microbiome of the rhizospheric area is generally viewed as a treasure trove to scrutinize the indigenous microbial communities in search of natural detoxification of xenobiotics and other biotechnological perspective. It is estimated that one gram of this enriched soil comprises approximately 10 billion microorganisms, while only 1% of soil microbial population has been explored (Kakirde et al. 2010), which is widely reported for deterioration of organic polymers and pollutants.
Among numerous ventures, textile materials are directly associated with ecological angles to be unequivocally considered. With 10–15% of the share, the textile industry ranks on the top among all the dye consuming sectors utilizing 100,000 different synthetic coloring agents for various processes (Daassi et al. 2014). Discharge of dye-contaminated waste to receiving water bodies may cause immense ecological threats due to disturbances in photosynthetic activities of aquatic life, creating adverse effects on the amphibian territory (Husseiny 2008). It has been estimated that there are more than 670 textile industries in Pakistan, and almost all are dumping their hued mechanical waste into natural water bodies without embracing the essential treatment strategies (Andleeb et al. 2010). Although the worldwide figure demonstrates 280,000 tons discharge of textile dyes and colored pigments into water bodies, per annum (Maas and Chaudhari 2005), this situation can be mulled over to comprehend the gravity of the matter. Azo dyes representing 60–70% of the commonly used dyes are characterized by the presence of one or more chromogenic azo groups. Separate chromophore (N = N, C = C, C = O) and the auxochrome (−OH, −NH2, −NR2) are present in these dyes. These are intended to oppose the chemical and microbial assaults and stay stable in light and washing systems. A considerable lot of these dyes are cancer-causing and may trigger allergic reactions in human beings (Adedayo et al. 2004). Therefore, industrial wastes carrying azo dyes must be pretreated prior to its disposal to the environment.
The physical and chemical effluent-treatment strategies, for example, adsorption, synthetic precipitation, and flocculation, are inefficient because of the prerequisite of strong foundation, high cost, and generation of secondary-sludge (McMullan et al. 2001). Given the disadvantages of chemical treatments, microbial remediation procedures have gained strong consideration during recent decades. Fungi turned out to be the most reasonable species for the treatment of textile-effluents for the evacuation of toxic colors. Numerous fungal strains either in free-living or in the immobilized state have been utilized for the decolorization of various dyes (Prachi and Anushree 2009). The ability of fungi to decolorize dyes relies on three mechanisms, namely biosorption (Fu and Viraraghavan 2001), biodegradation (Conneely et al. 1999), and enzymatic mineralization (Wesenberg et al. 2003; Rojek et al. 2004). Bioreactors operated with immobilized fungal cells have shown enhanced productivity, and permit expanded process strength and resistance to shock loadings in comparison to free fungal cells for decolorization of dyes (Hao et al. 2000).
The reported potential of mycobiota of rhizospheric soil for bioremediation and ecological effect of azo dyes envisaged the current study to isolate fungal species and to evaluate their ability to develop an efficient system for removal of hazardous and toxic recalcitrants in stirred tank reactor.
The chemicals used in the study include Congo red (Sigma-Aldrich), Sabouraud’s Dextrose Broth (Oxoid) as a fungal growth medium, Technical Agar (Oxoid), and 0.05% Tween 80 solution for the preparation of the spore suspension. Composition of Minimal Salt Media was [per l, Na2HPO4 ∙ 2H2O: 7.8 g; KH2PO4: 6.8 g; MgSO4 ∙ 7H2O: 0.2 g; NaNO3: 0.085 g; Ca(NO3)2 ∙ 4H2O: 0.050 g; C6H8FeNO7: 0.01 g; trace elements solution: 10 ml]. Simulated textile effluent (STE) was formulated as [per l, acetic acid (99.9%): 0.15 ml; (NH4)2Cl: 108.0 mg; KH2PO4: 67.0 mg; NaHCO3: 840.0 mg; MgSO4 ∙ 7H2O: 38.0 mg; CaCl2: 21.0 mg; FeCl3 ∙ 6H2O: 7.0 mg; glucose: 860 mg].
In all the experiments, each test flask was inoculated with 1 ml spore suspension of
Based on the environmental impact of azo dyes as well as reported bioremediation potential of fungi, the present study was aimed to isolate and screen indigenous mycobiota for developing a process of bioremediation. For this purpose, 56 fungal strains isolated from different samples of soil and textile effluent were identified by standard mycological protocols (Table I). The identified fungal strains included
Identification and screening of fungal isolates for biodegradation potential of Congo red.
Funga isolate number | The fungi identified | Qualitative screening for Congo red dye | Quantitative screening for Congo red dye (%) |
---|---|---|---|
01 |
| – | – |
02 |
| + | 66 |
03 |
| + | 60 |
04 |
| + | 55 |
05 |
| + | 80 |
06 |
| + | 17 |
07 |
| + | 80 |
08 |
| – | – |
09 |
| – | – |
10 |
| + | 26 |
11 |
| + | 42 |
12 |
| + | 28 |
13 |
| – | – |
14 |
| + | 54 |
15 |
| + | 26 |
16 |
| + | 53 |
17 |
| + | 18 |
18 |
| + | 89 |
19 |
| + | 54 |
20 |
| + | 92 |
21 |
| + | 35 |
22 |
| + | 12 |
23 |
| – | – |
24 |
| + | 12 |
25 |
| + | 31 |
26 |
| + | 79 |
27 |
| + | 65 |
28 |
| + | 66 |
29 |
| + | 62 |
30 |
| – | – |
31 |
| + | 56 |
32 |
| – | – |
33 |
| – | – |
34 |
| + | 43 |
35 |
| + | 66 |
36 |
| + | 81 |
37 |
| + | 74 |
38 |
| + | 62 |
39 |
| + | 54 |
40 |
| + | 31 |
41 |
| – | – |
42 |
| + | 62 |
43 |
| – | – |
44 |
| – | – |
45 |
| + | 82 |
46 |
| _ | _ |
47 |
| + | 43 |
48 |
| + | 83 |
49 |
| + | 79 |
50 |
| + | 65 |
51 |
| – | – |
52 |
| + | 11 |
53 |
| + | 25 |
54 |
| – | – |
55 |
| + | 56 |
56 |
| + | 43 |
This data also revealed that most of the fungal strains belonged to the genus
Out of 56 fungal isolates, 42 strains showed decolorization of Congo red in the qualitative screening method. The ability of the fungi tested to remove dye was confirmed by the appearance of clear zones around the fungal colonies whereas, 14 strains were found unable to decolorize the Congo red, forming no zones of decolorization. Since the screening was mainly carried out using SDA that supports the growth of fungi and, therefore, growth-linked removal of the dye was investigated. The absence of zones around 14 strains may be linked with the inhibitory effect of the dye on the growth rate of fungi due to which degradation of dye proceeded more slowly as compared to radial growth of fungi; consequently, zone of decolorization did not appear around the fungal mycelia (Machado et al. 2006).
The findings of quantitative screening assay showed that fungal isolates namely
The dye removal ability of fungi is attributed to different phenomena such as bio-sorption/bio-adsorption followed by bio-degradation (Knapp and Newby 1995; Fu and Viraraghavan 2000; Sumathi and Manju 2000; Ali et al. 2008b). Bio-sorption is regarded as the primary process of dye removal, which enables the fungi to bind with molecules of dyes in the vicinity of fungal biomass due to electrostatic attraction between the positively charged cell walls and negatively charged dye molecules (Aksu and Tezer 2000). Bio-degradation enables the fungi to break down the dye molecule enzymatically into various products (Saranraj et al. 2010). It has been reported that some species belong to genus
The strain
Fig. 1.
Effect of agitation and static conditions on biodegradation efficiency of

The concentration of dye has a marked impact on the dye removal efficiency as a higher concentration may inhibit fungal growth. The strain was found capable of degrading the dye at all concentrations after 72 h; however, maximum degradation (95%) was observed with 100 ppm of dye followed by 84%, 78.6%, 70%, and 76% at 200, 300, 400, and 500 ppm, respectively (Fig. 2). Hence, it could be stated that the decolorization ability of
Fig. 2.
Effect of different concentration of dye on biodegradation efficiency of

The strain,
Fig. 3.
Effect of carbon sources on biodegradation efficiency of

The strain,
Fig. 4.
Effect of nitrogen sources on biodegradation efficiency of

Fig. 5.
Effect of pH on biodegradation efficiency of

Using the STR system, the effect of various natural and synthetic immobilization support matrices on Congo red removal efficiency was investigated.
Fig. 6.
Effect of different immobilization supports on biodegradation efficiency of

Fig. 7.

The decolorization of Congo red dye in simulated textile effluent was also investigated in the bioreactor with entire pieces of natural loofah sponge without fungal cells to determine the physical adsorption capacity of the support matrix. It was found that removal of Congo red from simulated textile effluent by the intact pieces of natural loofah sponge was not significant, and hence the dye removal was not because of adsorption by the natural loofah sponge.
These experimental findings suggested that natural loofah sponge possessed all the required characteristics to be utilized as an ideal bio-support. Therefore, it was further subjected to SEM analysis at various magnifications (× 20 and × 50) to observe the morphological changes before and after the immobilization of
Fig. 8.
SEM micrographs of

Effect of repeated use of
Although microbes can remove color-producing recalcitrant compounds by a wide variety of mechanisms, it has also been indicated by several research studies that detoxification of reactive group of azo dyes leads to the generation of robust and even more lethal intermediates during biodegradation processes (Gottlieb et al. 2003). Therefore, Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Dissolved Solids (TDS), and Total Suspended Solids (TSS) analysis of the dye-containing effluent samples (before and after treatment under STR) were carried out to evaluate and confirm the extent of degradation of Congo red dye by
This research study proclaimed the excellent attempt of immobilized
Fig. 1.

Fig. 2.

Fig. 3.

Fig. 4.

Fig. 5.

Fig. 6.

Fig. 7.

Fig. 8.

Identification and screening of fungal isolates for biodegradation potential of Congo red.
Funga isolate number | The fungi identified | Qualitative screening for Congo red dye | Quantitative screening for Congo red dye (%) |
---|---|---|---|
01 |
|
– | – |
02 |
|
+ | 66 |
03 |
|
+ | 60 |
04 |
|
+ | 55 |
05 |
|
+ | 80 |
06 |
|
+ | 17 |
07 |
|
+ | 80 |
08 |
|
– | – |
09 |
|
– | – |
10 |
|
+ | 26 |
11 |
|
+ | 42 |
12 |
|
+ | 28 |
13 |
|
– | – |
14 |
|
+ | 54 |
15 |
|
+ | 26 |
16 |
|
+ | 53 |
17 |
|
+ | 18 |
18 |
|
+ | 89 |
19 |
|
+ | 54 |
20 |
|
+ | 92 |
21 |
|
+ | 35 |
22 |
|
+ | 12 |
23 |
|
– | – |
24 |
|
+ | 12 |
25 |
|
+ | 31 |
26 |
|
+ | 79 |
27 |
|
+ | 65 |
28 |
|
+ | 66 |
29 |
|
+ | 62 |
30 |
|
– | – |
31 |
|
+ | 56 |
32 |
|
– | – |
33 |
|
– | – |
34 |
|
+ | 43 |
35 |
|
+ | 66 |
36 |
|
+ | 81 |
37 |
|
+ | 74 |
38 |
|
+ | 62 |
39 |
|
+ | 54 |
40 |
|
+ | 31 |
41 |
|
– | – |
42 |
|
+ | 62 |
43 |
|
– | – |
44 |
|
– | – |
45 |
|
+ | 82 |
46 |
|
_ | _ |
47 |
|
+ | 43 |
48 |
|
+ | 83 |
49 |
|
+ | 79 |
50 |
|
+ | 65 |
51 |
|
– | – |
52 |
|
+ | 11 |
53 |
|
+ | 25 |
54 |
|
– | – |
55 |
|
+ | 56 |
56 |
|
+ | 43 |