The present study focuses on removing hexavalent chromium (Cr(VI)) using indigenous metal-resistant bacterial strains isolated from a common industrial effluent treatment plant, a contaminated site in Vishakhapatnam. Three high metal-resistant isolates were screened by growing them in nutrient agar media containing different Cr(VI) concentrations for 24 h at 35 ± 2 °C. The three strains’ minimum inhibitory concentrations of Cr(VI) were examined at neutral pH and 35 ± 2 °C temperature. Morphological, biochemical, and molecular characterizations were carried out, and the strains were identified as Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3. Elemental composition and functional group analysis of the native and metal-loaded cells were done using energy-dispersive spectroscopy and Fourier-transform infrared spectroscopy, respectively. The operating conditions were optimized using a one-factor-at-a-time analysis. When compared with three bacterial isolates, maximum Cr(VI) removal (80.194 ± 4.0%) was observed with Bacillus subtilis NITSP1 with an initial Cr(VI) concentration of 60 mg/L, pH 7.0, an inoculum size of 2% (v/v), and an incubation period of 24 h. The logistic model was used to predict the variation of biomass growth with time. The present study can be extended to remove heavy metals from industrial wastewater in an environmental-friendly manner.

  • Cr(VI), being ranked 17th in the Agency for Toxic Substances and Disease Registry's list, was eliminated via a microbial route.

  • Three metal-resistant bacterial strains that were isolated from a common industrial effluent treatment plant in Vishakhapatnam, India, effectively removed Cr(VI).

  • Energy-dispersive spectroscopy and Fourier-transform infrared spectroscopy confirmed the metal-binding capability.

  • The logistic model predicted biomass growth variations over time. Bacillus subtilis NITSP1 exhibited the highest Cr(VI) removal.

AARD average absolute relative deviation

DBC dry biomass concentration

EDS energy-dispersive spectroscopy

FTIR Fourier-transform infrared

IC initial concentration

LB Luria broth

MIC minimum inhibitory concentration

OFAT one-factor-at-a-time

RMSE root mean square error

Heavy metal pollution from wastewater poses a severe environmental and health concern, as the discharge of industrial and domestic sewage can introduce toxic heavy metals like chromium (Cr), lead (Pb), zinc (Zn), cadmium (Cd), nickel (Ni), copper (Cu), mercury (Hg), and arsenic (As) into water bodies, endangering ecosystems and human well-being (Mitra et al. 2022). According to the Agency for Toxic Substances and Disease Registry (ATSDR), hexavalent chromium (Cr(VI)) holds the 17th position among the most hazardous chemicals posing a severe threat to human health (ATSDR 2022). Electroplating, textile dyeing and printing, leather tanning, metal finishing, and paint manufacturing industries are some that are responsible for releasing Cr(VI) into wastewater (Kerur et al. 2021). India, contributing to 13% of global leather production, is becoming one of the largest leather goods exporting countries, and it is noteworthy to mention that leather industry wastewater is one of the significant contributors of Cr(VI) to the environment (Princy et al. 2020; Venkatesan et al. 2021). Due to its specific chemical properties, including solubility and reactivity, Cr(VI) has carcinogenic effects, causing oxidative stress and targeting multiple organs through bioaccumulation (Wani et al. 2019). The World Health Organization (WHO) has set a maximum permissible limit of 0.05 mg/L for Cr(VI) in treated wastewater (Prabhakaran et al. 2019). Conventional methods such as membrane filtration, photocatalysis, adsorption, precipitation, and ion exchange have been employed for Cr(VI) removal (Tang et al. 2021). However, these methods are associated with several disadvantages, such as high operational costs, energy consumption, the generation of secondary pollutants, and reduced efficiency, when targeting low concentrations of Cr(VI) (Diep et al. 2018). Green technologies employing microorganisms for removing or converting toxic heavy metals into nontoxic substances from the contaminated environment are considered more advantageous and sustainable than conventional methods.

Microorganisms, including bacteria, algae, fungi, and yeast, can efficiently bioaccumulate heavy metals in their living cells. Bioremediation is a process that utilizes different biological mechanisms to convert pollutants into nontoxic forms using live microorganisms (Sharma & Kumar 2021). In recent years, bioremediation has been perceived to be a promising technology for removing Cr(VI) in an efficient, eco-friendly, and cost-effective manner owing to several advantages of microorganisms, such as ease of handling, culture, and implementation (Kholisa et al. 2022, 2023). The performance of living biomass in binding metal ions depends on the nutrient and environmental status and the cell age. Over the last few years, bacteria have been widely researched and employed due to their ability to adsorb (biosorption), solubilize (bioaccumulation), and precipitate (bioprecipitation) heavy metals (Fernández et al. 2018). Some reported works on the bioremediation of Cr(VI) using bacteria are as follows: Escherichia sp., Acinetobacter sp., etc., could remediate Cr(VI) by biosorption; Bacillus sp. could remove Cr(VI) by bioreduction; and Bacillus sp. and Streptomyces sp. could abate Cr(VI) by biotransformation (Marzan et al. 2017; Kumaresan Sarankumar et al. 2020; Sanjay et al. 2020). Since tannery waste, chromium mines, etc., are rich in Cr(VI), the organisms isolated from such effluents exhibited high resistance toward Cr(VI). Several studies have primarily concentrated on isolating and identifying chromium-removing bacteria from tannery effluents, chromium mines, etc. (Yaashikaa et al. 2019; Sanjay et al. 2020; Elahi et al. 2022).

Being one among the developing industrial cities, Vishakhapatnam is facing severe pollutant discharge problems. Common industrial effluent treatment plants are used to treat the effluents from different industries in Vishakhapatnam. The pollutants being treated in such plants vary in wide ranges both in concentration and nature. Therefore, microbes isolated from such effluent water tend to have high resistance to various contaminants ranging from heavy metals to organic pollutants. Considering the toxicity of Cr(VI) and the role of bacteria in its removal, the current work has been designed based on the following three main objectives, such as the isolation and identification of suitable bacterial strain(s), a parametric study on the removal of Cr(VI), and modeling of bioremediation. High Cr(VI)-resistant bacterial strains were initially isolated and identified. The parametric study was done using a one-factor-at-a-time (OFAT) analysis to achieve the maximum removal of Cr(VI). Finally, the logistic model of population growth was used to predict the variation of biomass growth with time. The novelty of the current study lies in utilizing high Cr(VI)-resistant indigenous bacterial strains isolated from a common industrial effluent treatment plant in Vishakhapatnam for the bioremediation of Cr(VI). This approach aims to contribute toward a greener world.

All experiments were replicated thrice, and the results were statistically analyzed using mean and standard deviation.

Preparation of medium

The Luria broth (LB) (Himedia, India) medium comprising of tryptone (10 g/L), yeast extract (5 g/L), and sodium chloride (10 g/L) was used as a liquid medium for bacterial cultivation. Solid agar plates, essential for bacterial growth, were prepared by supplementing the LB medium with 12 g/L agar. In order to prepare a stock solution of Cr(VI) with a concentration of 1,000 mg/L, 2.82 g of K2Cr2O7 (Merck, India) was dissolved in 1,000 mL of sterile distilled water. The indigenous bacterial strains were cultured in the LB medium. When assessing bacterial growth in the presence of Cr(VI), the required dilution of the Cr(VI) solution was achieved by adding an appropriate volume of the sterile LB medium to the Cr(VI) solution.

Screening, isolation, and culture of Cr(VI)-resistant bacterial strains

An effluent sample was obtained from an industrial effluent treatment plant situated at a contaminated site in Vishakhapatnam (N 17.6707°, E 83.0930°). This treatment plant manages wastewater from multiple small pharmaceutical industrial units. Initially, the wastewater is gathered and stored in a tank. An API (American Petroleum Institute) separator then separates oil and grease molecules from the wastewater. The resulting treated effluent is then directed into an equalization tank. The sample was collected from this equalization tank. The temperature of the effluent sample was kept at 4 °C to preserve its chemical and biological characteristics (Nokman et al. 2019). The sample was serially diluted (10−10 times), and the diluted sample was spread on the surface of the agar plates and incubated at 35 ± 2 °C for 24 h. Colonies exhibiting distinct morphological characteristics were identified and chosen for further experiments. These selected colonies were subcultured using the same media (Seragadam et al. 2021). To prepare the stock solution of Cr(VI) of 1,000 mg/L concentration, 2.82 g of K2Cr2O7 (Merck, India) was dissolved in 1,000 mL of sterile distilled water. The required dilution of the Cr(VI) solution was achieved by adding an appropriate volume of sterile distilled water. To isolate Cr(VI)-resistant bacterial strains, a nutrient agar medium was supplemented with the Cr(VI) solution having a 50 mg/L concentration. The nutrient agar was sterilized at 121 °C for 15 min and cooled to room temperature. Three bacterial strains with high resistance to Cr(VI) concentration were isolated and termed S1, S2, and S3, and such strains were selected for further studies.

Morphological, biochemical, and molecular characterization of the isolated strains

The isolated metal-resistant bacterial strains were analyzed based on colony characterization, biochemical characteristics, and carbohydrate fermentation as described in Bergey's Manual for identifying the species of the bacteria (Bergey & Holt 2000). As per the standard protocol to determine the genus of the isolated bacterial strains, biochemical characterization tests like Gram stain, oxidase, catalase, methyl red, indole production, and citrate tests were done. The analysis also involved studying the utilization of carbohydrates such as glucose, sucrose, maltose, xylose, and lactose by the isolates (Marzan et al. 2017). Selected strains were sent to Cytogene (Lucknow, India) for molecular identification through 16S rRNA gene sequencing. The resulting nucleotide sequence was subjected to BLAST analysis using the online tool provided by the NCBI. Subsequently, the obtained sequences were submitted to the NCBI to acquire accession numbers for the isolated strains (Sahoo & Chaudhuri 2021).

Fourier-transform infrared spectroscopy and energy-dispersive spectroscopy analyses of bacterial biomass

To characterize the dry biomass of both bacterial biomasses of each strain, one grown with Cr(VI) and the other without Cr(VI), Fourier-transform infrared spectroscopy (FTIR) studies were conducted. The analysis was performed using a BRUKER Alpha II FTIR Spectrometer. For the FTIR studies, the dry biomass sample was finely ground and thoroughly mixed with potassium bromide (Merck, India) to prepare transparent pellets. These pellets were utilized to determine functional groups (Rai et al. 2021). An energy-dispersive spectroscopy (EDS) study was conducted to examine the elemental mapping on the surface of both bacterial biomasses of each strain, one with Cr(VI) and one without Cr(VI), using a TESCAN-VEGA 3 LMU instrument, which was operated at an accelerating voltage of 25 kV. The Cr(VI)-loaded bacterial biomass was prepared as follows: LB medium containing 50 mg/L Cr(VI) was prepared by diluting the stock solution of Cr(VI) with the necessary amount of LB medium. The bacterial isolates were then inoculated into such a solution and incubated in a BOD incubator (Modern Instruments, Kolkata, India) at 35 ± 2 °C for 24 h. Finally, the biomass was harvested by centrifugation (Eltek TC 8100F centrifuge) at 5,000 rpm for 15 min. The harvested biomass was subsequently washed three times with distilled water. The resulting pellet was dried in a Universal Hot Air Oven (Kolkata, India) at 50 ± 1 °C for 12 h and was used for characterization later. To get the native bacterial biomass without Cr(VI), each bacterial strain was incubated separately in the LB medium (Himedia, India) at 35 ± 2 °C for 24 h.

Determination of minimum inhibitory concentration

Isolated bacterial strains were grown in Cr(VI)-laden LB agar plates to check the minimum inhibitory concentration (MIC) of the metal. To prepare LB agar plates, initially agar (Himedia, India) was added to simulated the LB medium containing a definite amount of Cr(VI) solution. The mixture was then poured into a number of Petri dishes, and the standard protocol was followed to prepare agar plates (Marzan et al. 2017). Cr(VI) concentrations in the LB agar plates were increased gradually from 50 to 200 mg/L, and bacterial isolates were streaked on the plates. For each transfer, the culture from the lower concentration was streaked onto an agar plate containing a higher concentration of the metal. In cases where the isolates did not exhibit growth on the Petri plate, the MIC was determined following the standard protocol (Al-Ansari et al. 2021). The experiments were conducted individually with each of the three isolated Cr(VI)-resistant bacterial strains.

Removal of Cr(VI) from wastewater using isolated strains

Three isolated bacterial strains were grown individually in a 25-mL Cr(VI)-laden LB medium having an initial concentration (IC) of 50 mg/L to test whether the bacteria could remove the metal from the medium. A loop full of inoculum of each strain was added separately at a pH value of 7 and kept in a BOD incubator at 35 ± 2 °C for 24 h. After the incubation period, the sample was collected and subjected to centrifugation at 5,000 rpm for 15 min. The resulting supernatant was then collected and analyzed for Cr(VI) concentration. The concentration of Cr(VI) was determined spectrophotometrically using 1,5-diphenyl carbazide at 540 nm using a UV–VIS spectrophotometer (Thermo Fisher Scientific, Genesys 20, India) (Sen et al. 2018).

Effect of microenvironmental factors on the removal of Cr(VI) using isolated bacterial strains

The microenvironmental factors, such as the concentration of inoculum, ICs of Cr(VI), and pH, affect the removal efficiency of Cr(VI) and the growth of microorganisms (Rai et al. 2020). Therefore, the effects of such factors for the removal of Cr(VI) using the test strains (S1, S2, and S3) were analyzed using the OFAT method to maximize the removal of Cr(VI). For the present study, pH (5–9), the IC of Cr(VI) (20–100 mg/L) and the concentration of inoculum (1–4%) of S1, S2, and S3 were varied separately. The IC of Cr(VI) of simulated wastewater was varied first, keeping both pH of the medium and the concentration of inoculum constant at 7 and 5% (Bailey & Ollis 1986), respectively, for each of the three strains separately. The concentration of inoculum was varied next, keeping the initial pH at 7 and an IC of 60 mg/L for S1 and S3 and 80 mg/L for S2 where maximum removal was obtained. Finally, the pH of the solution was varied, with an IC of 60 mg/L Cr(VI) and the concentration of inoculum 3% for S1 and S3 and 80 mg/L and 2% for S2. The temperature of incubation was kept constant at 35 ± 2 °C, and isolates were incubated for 24 h. Following incubation, the samples were centrifuged at 5,000 rpm for 15 min. The resulting supernatant was then analyzed to determine the residual Cr(VI) concentration. The cell mass at the bottom of the centrifuge tube was rinsed three times using distilled water. Subsequently, the rinsed cell mass was dried in a hot air oven at 50 °C for 12 h, and its dry weight was measured. The most preferred operating conditions were chosen based on the highest Cr(VI) removal and biomass growth after the OFAT studies (Seragadam et al. 2021).

Kinetic study for the removal of Cr(VI) using metal-resistant strains

The isolated bacterial strains were inoculated individually into a 25-mL Cr(VI)-laden LB medium (Cr(VI) solution diluted with a definite amount of LB medium) taken in several 100 mL Erlenmeyer flasks. The flasks were then incubated for 24 h at 35 ± 2 °C in an incubator. Samples were withdrawn after every 2 h to analyze the residual concentration of Cr(VI) and the dry cell biomass. The kinetics of Cr(VI) removal were investigated at different ICs ranging from 20 to 60 mg/L. As analyzed during the parametric study, the pH and inoculum concentration were maintained at their optimal values.

Bacteria play a vital role in the removal of pollutants during secondary treatment of wastewater. They consume pollutants as substrates, and, hence, pollutant concentrations decrease during the growth of bacterial cells. During the log phase, the kinetics of bacterial growth can be expressed by the following equation:
(1)
where is the specific growth rate of bacteria (h−1), is the concentration of biomass (g/L), and t is the time of incubation (h).
Several kinetic growth models are present in the literature to describe the specific growth rates of bacteria. These models can be categorized into structured and unstructured kinetic growth models. Structured kinetic growth models consider genetic, morphological, or biochemical characteristics that collectively determine the physiological state of the biomass. While these models can accurately describe the specific growth rate of bacteria, they are complex and often require the solution of multiple equations. On the other hand, unstructured growth models treat bacteria as independent organisms that interact with their environment. Unstructured kinetic growth models describe the growth rates of bacteria based on the concentration of the biomass and the substrate (Muloiwa et al. 2020). The relationship between the specific growth rate () and the substrate concentration () is a valuable tool in predictive biotechnology. The Monod equation is extensively employed to describe the growth-linked utilization rate of substrates. The unrealistic nature of Monod's model arises from the assumption of exponential growth, which would ultimately result in either a population explosion of the microorganism or its extinction. The logistic model of biomass growth incorporates this factor and provides a more accurate representation. This model says that every process has its carrying capacity, which is the maximum sustainable bacteria in that environmental condition (Gwala et al. 2021). The logistic model of bacterial biomass growth can be expressed as follows (Equation (2)):
(2)
where is the maximum specific growth rate (h−1), is the concentration of biomass (g/L), is the carrying capacity (g/L), and t is the time of incubation (h). Integration of the preceding differential equation between gives:
(3)

Screening and isolation of Cr(VI)-resistant bacteria

After the initial screening of the collected effluent samples, three isolates were identified, namely, S1, S2, and S3 (Figure 1). Upon visual examination, it was observed that all three isolated bacteria exhibited growth in the agar medium supplemented with Cr(VI) at a concentration of 50 mg/L. This growth was observed after incubating the samples at 35 ± 2 °C for 24 h. Notably, these isolates demonstrated the ability to grow in the Cr(VI)-laden environment.
Figure 1

Pure cultures of three (S1, S2, and S3) bacterial isolates.

Figure 1

Pure cultures of three (S1, S2, and S3) bacterial isolates.

Close modal

Morphological, biochemical, and molecular characterization of the bacterial isolates

The morphological and biochemical characteristics of the three potential metal-resistant isolates (S1, S2, and S3) are shown in Table 1.

Table 1

Morphological and biochemical characteristics and results of carbohydrate utilization tests

Bacterial strainsS1S2S3
Morphological characteristics Colony shape Circular diffused Circular Flat 
Colony size Medium and small Small Large 
Colony opacity Translucent Thick Opaque 
Colony texture Glossy Creamy Glossy 
Colony color White Off white Greenish 
Colony surface morphology Smooth Smooth Smooth 
Gram stain test +ve −ve −ve 
Biochemical test results Indole test −ve −ve −ve 
Catalase test +ve −ve −ve 
Methyl red test −ve −ve −ve 
Citrate rest −ve −ve +ve 
Oxidase rest +ve −ve −ve 
Utilization of carbohydrate Glucose −ve −ve +ve 
Lactose −ve −ve −ve 
Sucrose +ve +ve −ve 
Maltose −ve +ve −ve 
Xylose −ve −ve −ve 
Bacterial strainsS1S2S3
Morphological characteristics Colony shape Circular diffused Circular Flat 
Colony size Medium and small Small Large 
Colony opacity Translucent Thick Opaque 
Colony texture Glossy Creamy Glossy 
Colony color White Off white Greenish 
Colony surface morphology Smooth Smooth Smooth 
Gram stain test +ve −ve −ve 
Biochemical test results Indole test −ve −ve −ve 
Catalase test +ve −ve −ve 
Methyl red test −ve −ve −ve 
Citrate rest −ve −ve +ve 
Oxidase rest +ve −ve −ve 
Utilization of carbohydrate Glucose −ve −ve +ve 
Lactose −ve −ve −ve 
Sucrose +ve +ve −ve 
Maltose −ve +ve −ve 
Xylose −ve −ve −ve 

Through 16S rRNA gene sequencing, the isolated bacterial samples were identified as Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3. The sequences of these bacterial strains were submitted to GenBank and accession numbers were assigned as LC763413, LC763414, and LC763415, respectively. The phylogenetic tree construction for the isolated strains was performed using MEGA-11, and the resulting trees are shown in Figure 2.
Figure 2

Phylogenetic trees for identified bacteria: (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3.

Figure 2

Phylogenetic trees for identified bacteria: (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3.

Close modal

FTIR spectroscopy and EDS analyses of bacterial biomass

FTIR spectra of the dry biomass of Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3 grown in the LB medium, with and without Cr(VI), are shown in Figure 3(a)–3(c), respectively. Prior to treatment with Cr(VI), distinct peaks at 414 and 430 cm−1 were observed for Bacillus subtilis NITSP1, while for Rhizobium pusense NITSP2, the peaks were observed at 456 and 489 cm−1. In the case of Pseudomonas aeruginosa NITSP3, the peak was observed at 463 cm−1. After treatment with the Cr(VI)-laden LB medium, the sharp peaks of Bacillus subtilis NITSP1 shifted to 430 and 501 cm−1. Similarly, the peaks of Rhizobium pusense NITSP2 were observed at 444 and 477 cm−1, and the peaks of Pseudomonas aeruginosa NITSP3 were observed at 428 and 465 cm−1 after treatment with the Cr(VI)-laden LB medium. The weak bands observed between 3,000 and 4,000 cm−1 in both the Cr(VI)-treated and untreated samples of the three bacterial strains are attributed to O–H stretching vibrations. Bacillus subtilis NITSP1 without Cr(VI) exerted peaks at 1,593 and 1,670 cm−1, corresponding to N–H and C = C bonds, respectively. Similarly, the biomass of native Rhizobium pusense NITSP2 showed peaks at 1,575 and 1,688 cm−1, corresponding to N–H and C = C bonds, respectively (Nandiyanto et al. 2019). However, FTIR spectra of Cr(VI)-treated biomass of Bacillus subtilis NITSP1 and Rhizobium pusense NITSP2 showed no N–H and C = C bonds. The results are in agreement with the EDS reports in which the presence of Cr(VI) was observed in the biomass of Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3 after treatment with Cr(VI).
Figure 3

FTIR spectra of bacterial biomass before treatment and after treatment with Cr(VI) ions: (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3.

Figure 3

FTIR spectra of bacterial biomass before treatment and after treatment with Cr(VI) ions: (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3.

Close modal

Table 2 presents the elemental composition of the biomass of three bacterial isolates, such as Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3, grown in the LB medium (with and without Cr(VI)). The weight percent of chromium after treatment with Cr(VI) laden LB medium was 0.27% for Bacillus subtilis NITSP1, 0.17% for Rhizobium pusense NITSP2, and 0.01% for Pseudomonas aeruginosa NITSP3, whereas for treatment with LB medium only, the concentration of Cr(VI) was found as 'zero'. Comparing the elemental composition data, it is evident that Bacillus subtilis NITSP1 displayed the highest uptake capacity of chromium. Similar results were obtained by Elahi et al. (2022) in their studies involving the Bacillus cereus strain b-525k. Gram-positive bacteria, such as Bacillus subtilis and Bacillus cereus, lack an outer membrane, and cell walls are characterized by multiple layers of peptidoglycan. This peptidoglycan-rich cell wall is the primary interaction site with metal ions. It plays a crucial role in determining the ability of bacteria to bind metal ions.

Table 2

The elemental composition of the bacterial biomass grown in the LB medium (with and without Cr(VI))

Weight %Bacillus subtilis NITSP1 without Cr(VI)Bacillus subtilis NITSP1 with Cr(VI)Rhizobium pusense NITSP2 without Cr(VI)Rhizobium pusense NITSP2 with Cr(VI)Pseudomonas aeruginosa NITSP3 without Cr(VI)Pseudomonas aeruginosa NITSP3 with Cr(VI)
Carbon 54.03 47.5 63.81 54.99 55.43 56.25 
Nitrogen 6.68 9.11 10.65 8.75 7.20 
Oxygen 24.56 29.92 26.17 25.18 26.85 27.77 
Sodium 5.18 4.59 3.61 3.39 2.8 3.37 
Phosphorous 1.72 3.50 1.33 1.95 1.76 1.80 
Potassium 0.47 1.87 0.19 1.22 0.14 0.40 
Sulphur 0.09 0.34 0.17 0.53 0.25 0.31 
Magnesium 0.06 
Silicon 0.16 
Chlorine 7.25 2.92 4.50 1.92 4.01 2.88 
Chromium 0.27 0.17 0.01 
Weight %Bacillus subtilis NITSP1 without Cr(VI)Bacillus subtilis NITSP1 with Cr(VI)Rhizobium pusense NITSP2 without Cr(VI)Rhizobium pusense NITSP2 with Cr(VI)Pseudomonas aeruginosa NITSP3 without Cr(VI)Pseudomonas aeruginosa NITSP3 with Cr(VI)
Carbon 54.03 47.5 63.81 54.99 55.43 56.25 
Nitrogen 6.68 9.11 10.65 8.75 7.20 
Oxygen 24.56 29.92 26.17 25.18 26.85 27.77 
Sodium 5.18 4.59 3.61 3.39 2.8 3.37 
Phosphorous 1.72 3.50 1.33 1.95 1.76 1.80 
Potassium 0.47 1.87 0.19 1.22 0.14 0.40 
Sulphur 0.09 0.34 0.17 0.53 0.25 0.31 
Magnesium 0.06 
Silicon 0.16 
Chlorine 7.25 2.92 4.50 1.92 4.01 2.88 
Chromium 0.27 0.17 0.01 

Determination of MIC and the removal of Cr(VI) from Cr(VI)-laden LB medium using isolated strains

The studies on MIC were done to examine the maximum Cr(VI) concentration up to which such strains can resist the toxic effect of the metal and can grow. The three bacterial isolates, namely, Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3, were found to have resistance to the toxic effect of Cr(VI). The growth of Bacillus subtilis NITSP1 and Rhizobium pusense NITSP2 was observed up to 200 mg/L of Cr(VI) at 35 ± 2 °C and a neutral pH 24 h incubation period, while the growth of Pseudomonas aeruginosa NITSP3 was only observed up to 100 mg/L. Metal-tolerant organisms use various mechanisms to survive in a toxic environment, such as cations transporter and iron carriers (Al-Ansari et al. 2021). While studying the removal of Cr(VI) using isolated three strains at the IC of 50 mg/L, Bacillus subtilis NITSP1 and Rhizobium pusense NITSP2 showed 100% removal, but Pseudomonas aeruginosa NITSP3 only achieved 31.62% removal (Figure 4).
Figure 4

Removal of Cr(VI) using isolated strains: Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3 (temperature = 35 ± 2 °C and pH = 7).

Figure 4

Removal of Cr(VI) using isolated strains: Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3 (temperature = 35 ± 2 °C and pH = 7).

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Effect of microenvironmental factors on the removal of Cr(VI) with isolated bacterial strains

Effect of initial Cr(VI) concentration

The effect of the IC of Cr(VI) on its removal efficiency and dry biomass production is essential to assess the potential of isolated strains to be used to treat Cr(VI)-laden wastewater. Studies were carried out at 35 ± 2 °C, pH 7, with an inoculum concentration of 5%. The results are shown in Figure 5. For Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3, the removal of Cr(VI) decreased from 99.71 ± 4.98 to 44.315 ± 2.21%, from 95.81 ± 4.79 to 55.33 ± 2.76%, and from 88 ± 4.4 to 30.41 ± 1.52%, respectively, with an increase in initial Cr(VI) concentration from 20 to 100 mg/L. Based on Figure 5, the highest removal was achieved at an IC of 20 mg/L for all three bacterial strains (Bacillus subtilis NITSP1, Pseudomonas aeruginosa NITSP3, and Rhizobium pusense NITSP2). When the IC was increased to 60 mg/L for Bacillus subtilis NITSP1 and Pseudomonas aeruginosa NITSP3 and to 80 mg/L for Rhizobium pusense NITSP2, there was a slight reduction in the percentage of Cr(VI) removal. However, when the IC exceeded these threshold levels, a notable decrease in Cr(VI) removal was observed. As a result, the optimal ICs of Cr(VI) were selected for the respective strains as 60 mg/L for Bacillus subtilis NITSP1, 80 mg/L for Rhizobium pusense NITSP2, and 60 mg/L for Pseudomonas aeruginosa NITSP3. Seragadam et al. (2021) observed that Bacillus sp. exhibited a similar trend at 40 mg/L IC of Cr(VI), achieving a removal efficiency of 95% within 24 h.
Figure 5

Removal of Cr(VI) and DBC using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis (temperature = 35 ± 2 °C, pH = 7, and inoculum concentration = 5%).

Figure 5

Removal of Cr(VI) and DBC using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis (temperature = 35 ± 2 °C, pH = 7, and inoculum concentration = 5%).

Close modal

Effect of inoculum concentration

The variation in the removal of Cr(VI) and dry biomass concentration (DBC) using three bacterial isolates at different inoculum concentrations is shown in Figure 6. Other variables, such as pH and IC of Cr(VI), were kept at 7 and 60 mg/L for Bacillus subtilis NITSP1 and Pseudomonas aeruginosa NITSP3 and 7 and 80 mg/L for Rhizobium pusense NITSP2, respectively. For Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3, the removal of Cr(VI) increased from 50.307 ± 2.515 to 76.615 ± 3.830%, from 50.909 ± 2.545 to 76.907 ± 3.845%, and from 38.88 ± 1.944 to 56.52 ± 2.82%, respectively, with an increase in inoculum concentration from 1 to 4%. As the inoculum concentration increases, the number of cells increases, resulting in enhanced cell growth and ultimately leading to the higher removal of Cr(VI). A higher inoculum concentration indicates a greater cell density, resulting in enhanced pollutant removal and increased biomass production (Rai et al. 2020). Bacillus subtilis NITSP1 exhibited DBC values of 3.76 ± 0.188 g/L and Cr(VI) removal of 72.77 ± 3.64% at 2% inoculum concentration, which are quite similar to the results obtained at 3% inoculum concentration. Similarly, Pseudomonas aeruginosa NITSP3 demonstrated DBC values of 3.79 ± 0.189 g/L and Cr(VI) removal of 51.77 ± 2.59% at 2% inoculum concentration, which are comparable to those obtained at 3% inoculum concentration. In case of Rhizobium pusense NITSP2, DBC values of 3.11 ± 0.155 g/L and Cr(VI) removal of 73.22 ± 3.66% were observed at 3% inoculum concentration, which closely resemble the results obtained at 4% inoculum concentration. Hence, from the economic point of view, 2% inoculum concentration was selected judiciously for Bacillus subtilis NITSP1 and Pseudomonas aeruginosa NITSP3. However, for Rhizobium pusense NITSP2, an inoculum concentration of 3% was chosen as a suitable one.
Figure 6

Removal of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis at different inoculum concentrations (temperature = 35 ± 2 °C and pH = 7).

Figure 6

Removal of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis at different inoculum concentrations (temperature = 35 ± 2 °C and pH = 7).

Close modal

Effect of pH

The removal of Cr(VI) was observed as 39.66 ± 1.983, 80.194 ± 4.00, 51.186 ± 2.55, and 54.57 ± 2.72% at initial pH values of 5, 7, 8, and 9, respectively, with Bacillus subtilis NITSP1 in 24 h (Figure 7(a)). Figure 7(b) shows that Rhizobium pusense NITSP2 could remove Cr(VI) by 24.87 ± 1.24, 65.53 ± 3.28, 68.11 ± 3.40, and 67.21 ± 3.36% at initial pH values of 5, 7, 8, and 9, respectively, in 24 h. Similarly, Figure 7(c) demonstrates that Pseudomonas aeruginosa NITSP3 could remediate Cr(VI) by 30.44 ± 1.53, 62.12 ± 3.1, 61.89 ± 3.095, and 59.84 ± 2.99% at initial pH values of 5, 7, 8, and 9, respectively, in 24 h. Hence, the neutral pH was found to be most favorable for the removal of Cr(VI) with Bacillus subtilis NITSP1 and Pseudomonas aeruginosa NITSP3. For Rhizobium pusense NITSP2, a pH value of 8 was found to be the most suitable one. Since the pH value of industrial wastewater lies in the range of 6.8–7.8, these isolated strains could safely be used for industrial applications. Similar results were observed by other scientists (Sun et al. 2020). Karthik et al. (2017) and Seragadam et al. (2021) also found the pH value of 7 as the most suitable one for the maximum removal of Cr(VI). The Cr(VI) removal rates are different for different bacterial strains. This may be due to their distinct properties owing to their different genus. In a series of experiments conducted during OFAT analysis, the effects of various initial Cr(VI) concentrations were examined on the three strains. Bacillus subtilis NITSP1 and Pseudomonas aeruginosa NITSP3 exhibited optimal removal at an initial Cr(VI) concentration of 60 mg/L. In contrast, Rhizobium pusense NITSP2 displayed the highest removal efficiency at an initial Cr(VI) concentration of 80 mg/L. Utilizing the OFAT approach, the optimal concentrations for each strain were established, and a comparative analysis of these bacterial strains was performed.
Figure 7

Removal of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis at different pH values of the solution (temperature = 35 ± 2 °C).

Figure 7

Removal of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 during OFAT analysis at different pH values of the solution (temperature = 35 ± 2 °C).

Close modal

Table 3 shows that Bacillus subtilis NITSP1 is most efficient in removing Cr(VI) from the synthetic wastewater at specific conditions. It is well known that Gram-positive bacteria are more efficient in removing hexavalent chromium (Banerjee et al. 2019). Hence, Bacillus subtilis NITSP1 showed the same. A key factor contributing to this is the composition of the peptidoglycan layer in Gram-positive bacteria. Such bacteria possess multiple layers of peptidoglycan enriched with unique teichoic acids, amino acids like alanine and glutamate, and meso-diaminopimelic acid. This layer consists of enzymes, glycoproteins, lipopolysaccharides, and phospholipids. These molecules act as ligands and offer active sites for metal binding. Teichoic acid and other acidic groups in the cell wall are sources of carboxyl groups that play a crucial role in metal uptake (Nanda et al. 2019). The EDS study also proved the highest capability in removing Cr(VI) using Bacillus subtilis NITSP1 (Table 1).

Table 3

Most suitable condition for maximum removal of Cr(VI) for three bacterial isolates

BacteriaInitial Cr(VI) concentration (mg/L)Concentration of inoculum (%)pH of the solutionMaximum removal of Cr(VI) (%)
Bacillus subtilis NITSP1 60 80.194 ± 4.0 
Rhizobium pusense NITSP2 80 68.11 ± 3.40 
Pseudomonas aeruginosa NITSP3 60 62.12 ± 3.1 
BacteriaInitial Cr(VI) concentration (mg/L)Concentration of inoculum (%)pH of the solutionMaximum removal of Cr(VI) (%)
Bacillus subtilis NITSP1 60 80.194 ± 4.0 
Rhizobium pusense NITSP2 80 68.11 ± 3.40 
Pseudomonas aeruginosa NITSP3 60 62.12 ± 3.1 

Kinetic study for the removal of Cr(VI) using metal-resistant strains

Figure 8 illustrates the time-dependent variation of DBC during the removal of Cr(VI) using three indigenous bacterial strains at various Cr(VI) concentrations, ranging from 20 to 60 mg/L. The maximum specific growth rates () for Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3 were found to be 0.8439, 0.406, and 0.499 h−1, respectively. The highest value of for Bacillus subtilis NITSP1 reconfirmed its superiority in removing Cr(VI) from simulated wastewater. For calculating the model parameters (), the least absolute residuals curve-fitting method available in MATLAB version R2023a was used, and the average absolute relative deviation (AARD) between experimental ( is the number of data points) and predicted data was minimized (Gwala et al. 2021). AARD is mathematically represented as follows:

(4)
Figure 8

Comparison between experimental and predicted DBC at different ICs of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 (temperature = 35 ± 2 °C and pH = 7).

Figure 8

Comparison between experimental and predicted DBC at different ICs of Cr(VI) using (a) Bacillus subtilis NITSP1, (b) Rhizobium pusense NITSP2, and (c) Pseudomonas aeruginosa NITSP3 (temperature = 35 ± 2 °C and pH = 7).

Close modal

The predicted DBC calculated using the logistic model was superimposed on the corresponding plots of the variation of experimental data with time. The values of kinetic parameters , and and root mean square error (RMSE) are shown in Table 4. With an increase in initial Cr(VI) concentration from 20 to 60 mg/L, the carrying capacity, , decreased from 2.27 to 2.104, 6.87 to 3.887, and 2.524 to 2.184 g/L for Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3, respectively. For each initial Cr(VI) concentration, the values between experimental and simulated data of DBC were in the range of 0.94–0.987, whereas the RMSE values were in the range of 0.099–0.483. The high values of and low values of RMSE proved that the proposed logistic model holds good in predicting the variation of biomass growth with time. Using the logistic model, Sen et al. (2018) found the maximum specific growth rate () and maximum carrying capacity of 0.31 day−1 and 0.857 g/L, respectively, for the removal of Cr(VI) at an IC of 20 mg/L using the cyanobacterial strain Limnococcus sp.

Table 4

Kinetic parameters, R2, RMSE, and AARD of the logistic model

BacteriaBacillus subtilis NITSP1
Rhizobium pusense NITSP2
Pseudomonas aeruginosa NITSP3
Concentration (mg/L)204060204060204060
μm (h−10.8439 0.406 0.499 
Xm (g/L) 2.27 2.149 2.104 6.87 5.697 3.887 2.524 2.347 2.184 
R2 0.9836 0.987 0.9685 0.9622 0.9693 0.9667 0.9648 0.9401 0.9632 
RMSE 0.116 0.099 0.153 0.483 0.372 0.254 0.171 0.202 0.153 
AARD 7.6 5.89 5.64 1.94 3.96 9.44 7.34 2.165 1.64 
BacteriaBacillus subtilis NITSP1
Rhizobium pusense NITSP2
Pseudomonas aeruginosa NITSP3
Concentration (mg/L)204060204060204060
μm (h−10.8439 0.406 0.499 
Xm (g/L) 2.27 2.149 2.104 6.87 5.697 3.887 2.524 2.347 2.184 
R2 0.9836 0.987 0.9685 0.9622 0.9693 0.9667 0.9648 0.9401 0.9632 
RMSE 0.116 0.099 0.153 0.483 0.372 0.254 0.171 0.202 0.153 
AARD 7.6 5.89 5.64 1.94 3.96 9.44 7.34 2.165 1.64 

Three bacterial strains (Bacillus subtilis NITSP1, Rhizobium pusense NITSP2, and Pseudomonas aeruginosa NITSP3) having high resistance to Cr(VI) were isolated from a common industrial effluent treatment plant, a contaminated site in Vishakhapatnam. Bacillus subtilis NITSP1 and Rhizobium pusense NITSP2 exhibited growth at 200 mg/L Cr(VI) within 24 h at 35 ± 2 °C and neutral pH. The growth of Pseudomonas aeruginosa NITSP3 was observed at 100 mg/L Cr(VI) for 24 h at 35 ± 2 °C at neutral pH. Among the three isolates, Bacillus subtilis NITSP1 was found to be the most efficient in removing Cr(VI) (80.194 ± 4.0%) with an initial Cr(VI) concentration of 60 mg/L, a pH value of 7.0, an inoculum size of 2% [(v/v)], and an incubation period of 24 h. The present study suggests that the logistic model of population growth could adequately describe the variation of DBC over time, indicating the potential of the current strains to remove Cr(VI) from synthetic wastewater. However, further research is needed to explore the applicability of these findings for the treatment of real industrial wastewater, taking into account all relevant parameters in a continuous reactor setup.

The authors are thankful to the National Institute of Technology Durgapur and Gayathri Vidya Parishad College of Engineering, Vishakhapatnam, for providing all the required facilities to do research work.

S.D. and K.C.G. conceptualized the study. S.D. and B.S. carried out methodology. B.S. did formal analysis. P.S. investigated the work. P.S. wrote the original draft preparation. K.C.G., S.D., and B.S. wrote the original draft and reviewed and edited the manuscript. B.S. and S.D. found resources for the study. S.D., K.C.G., and B.S. supervised the work.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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