Applications | Strains or sources | Dosage | Descriptions | Ref. |
---|---|---|---|---|
Biomass harvest | Bacillus agaradhaerens | 8Â mg/L | Microalgae harvest, FR of 80.63% to Chlorella minutissima | Liu et al. (2015b) |
Enterobacter aerogenes | 13.5Â mg/L | Microalgae harvest, FR of 91.68 to 97.21% to Microcystis aeruginosa | Xu et al. (2018b) | |
Pseudomonas aeruginosa | 1.75Â mg/L | Microalgae harvest, FR of 100% to Microcystis aeruginosa | ||
Cobetia marina | 20Â mg/L | Microalgae harvest, FR of 92.7% to Chlorella vulgaris | Lei et al. (2015) | |
Shinella albus | 30Â mg/L | Microalgae harvest, FR of 85.65% to Chlorella vulgaris | Li et al. (2016b) | |
Streptomyces sp. | 5Â g/L | Microalgae harvest, FR of 99.18% to Nannochloropsis | Sivasankar et al. (2020) | |
Bacillus marisflavi | 100Â mg/L | Microalgae harvest, FR of 90% to Chlorella vulgaris | Bukhari et al. (2020) | |
Cellulosimicrobium cellulans | 250Â mL/L | Microalgae harvest, FR of 99.0% to Chlamydomonas reinhardtii | Liu et al. (2015b) | |
Bacillus licheniformis | 2.5Â mL/L | Microalgae harvest, FR of 99% to Desmodesmus brasiliensis | Ndikubwimana et al. (2016) | |
Bacillus amyloliquefaciens | 243Â mg/L | Microalgae harvest, FR of 87.98% to Microcystis aeruginosa | ||
Citrobacter sp. | 12.7Â mg/L | Microalgae harvest, FR of 95% to Microcystis aeruginosa | Xu et al. (2017) | |
Pseudomonas boreopolis | 80Â mg/L | Microalgae harvest, FR of 95.7% to Scenedesmus abundans | ||
Solibacillus silvestris | 1.1Â g/L | Microalgae harvest, FR of 85.7% to Nannochloropsis oceanica | Wan et al. (2013) | |
Cloacibacterium normanense | 5.8Â mg/g | Yeast harvest, FR of 74.07% to Yarrowia lipolytica | Yellapu et al. (2019) | |
Paecilomyces sp. | 700Â mg/L | Yeast harvest, FR of 95% to Trichosporon fermentans | Qiao et al. (2019) | |
Metal ion removal | Turicibacter sanguinis | 500Â mg/L | Remove 86.1% arsenite from solution | Cao et al. (2015) |
Stenotrophomonas maltophilia | 40Â mg/L | Remove 81.4% Cd2+ from solution | Chen et al. (2016) | |
Bacillus megaterium | 0.005% | Remove 99.2% arsenite from solution | Guo and Chen (2017a) | |
Pseudomonas koreensis | 1Â g/L | Remove 51.2% Cd2+, 52.5% Cr6+ and 80.5% Pb2+ from solution | Ayangbenro et al. (2019) | |
Bacillus megaterium | 1.25Â g/L | Remove 82.64% Pb2+, 51.82% Zn2+ and 33% Ni2+ from solution | Pu et al. (2020) | |
Achromobacter xylosoxidans | 1Â g/L | Absorb over 95% Pb2+ from solution | Subudhi et al. (2016) | |
Enterococcus faecalis, Proteus mirabilis, Lysini sp. | 28Â mg/L | Adsorb 95% Cu2+, 72% Zn2+, 58% Hg2+, 92% Cd2+ from solution | Vimala et al. (2020) | |
Rhodococcus erythropolis | 0.035% | Remove 96.9% Cu2+ from solution | Guo (2015) | |
Terrabacter sp. | 500Â mg/L | Remove 77.7% Fe3+, 74.8% Al3+, 61.9% Mn2+, 57.6% Zn2+ from dairy wastewater | Agunbiade et al. (2019) | |
From activated sludge | 6Â mg/L | Remove 98.5% of Pb2+ from solution | Yan et al. (2020) | |
 | Pseudomonas aeruginosa | 100 ppm | Absorb 79.7% Pb2+, 79.9% Cd2+, 72.9% As5+ and 80.6% Zn2+ from solution | Gomaa (2012) |
Paenibacillus elgii | 1Â g/L | Remove 53% Cu2+, 49% Co2+, 60% Pb2+, 72% Al3+ from solution | Li et al. (2013) | |
Pseudomonas aeruginosastrain | 20Â mg/L | Remove 79.29% Ni2+ from solution | Pathak et al. (2017) | |
Bacillus sphaericus and Rhizobium radiobacter | 28Â mg/L | Remove 92.95% Al3+ of river water | Li et al. (2016a) | |
Paenibacillus polymyxa | 0.006% | Remove 99.85% Pb2+ from solution | Feng et al. (2013) | |
Sludge dewatering | Rhodococcus erythropolis | 10.5 g/kg | DS and SRF of sludge appeared as 24.1% and 3.0 × 1012 m/kg | Guo and Chen (2017b) |
From pre-treated sludge | 1.6 g/L | DS and SRF of the sludge reached 22.5% and 3.4 × 1012 m/kg | Guo and Ma (2015) | |
Paenibacillus polymyxa | 1.5 g/L | DS and SRF of activated sludge reached 20.8% and 3.9 × 1012 m/kg | Guo et al. (2015d) | |
Klebsiella sp. | 6 g/kg | DS and SRF of sludge reached 17.5% and 3.36 × 1012 m/kg | Yang et al. (2012) | |
Azotobacter chroococcum | 80Â mg/L | Dewatering of coal waste slurry, FR of 83% to coal waste slurry | Yang et al. (2017) | |
Wastewater treatment | Bacillus agaradhaerens | 6Â mg/L | Remove 93.1% turbidity from straw ash-washing wastewater | Liu et al. (2020) |
Diaphorobacter nitroreducens | 831Â mg/L | Remove 96% turbidity, 79% COD, 59% lignin, 63% sugar from pulping wastewater | Zhong et al. (2020) | |
Bacillus cereus | 10Â mg/L | Reduce 62% COD, 55% BOD, 76% TDS, 74% TSS from distillery effluent | Sajayan et al. (2017) | |
Bacillus subtilis | 60Â mg/L | Remove 27.3% SS of palm oil mill effluent | Chaisorn et al. (2016) | |
From pre-treated sludge | 20Â mg/L | Remove 45.2% COD, 41.8% ammonium, 74.6% turbidity from swine wastewater | Guo and Ma (2015) | |
Pseudomonas veronii | 2.83Â mg/L | Remove 92.51% turbidity from ash flushing wastewater | ||
Bacillus agaradhaerens | 9Â mg/L | Remove 92.35% turbidity from mineral processing wastewater | Liu et al. (2019) | |
Paenibacillus polymyxa | 30Â mg/L | Remove 49.5% COD and 74.6% turbidity from potato starch wastewater | Guo et al. (2015a) | |
Terrabacter sp. | 500Â mg/L | Remove 54.1% COD, 63.3% BOD, 66.6% SS, 75.6% nitrate, 89.7% turbidity of dairy wastewater | Agunbiade et al. (2019) | |
Enterobacter sp. | 1000Â mg/L | Remove 85% chroma and 52% SS of fracturing flowback water | Ma et al. (2020) | |
Bacillus fusiformis | 110Â mg/L | Remove 22.7% total nitrogen, 28.5% COD, 20.4% colority from tannery wastewater | Zhao et al. (2016) | |
Arthrobacter humicola | 800Â mg/L | Remove 65.7% COD, 63.5% BOD, 55.7% SS, 71.4% nitrate, 81.3% turbidity of sewage wastewater | Agunbiade et al. (2017) | |
Alteromonas sp. | 200Â mg/L | Remove 98.5% congo red, 97.9% direct black, 72.3% methylene blue from dye wastewater | Chen et al. (2017a) | |
Aspergillus niger | 3.78Â mg/L | Remove 91.15% COD and 60.22% turbidity from potato starch wastewater | Pu et al. (2018) | |
Klebsiella variicola | 333Â mg/L | Achieve 84.7% decolorization efficiency to methylene blue solution | Xia et al. (2018) | |
Rhodococcus sp. | 24Â mg/L | Remove 87.9% COD, 86.9% ammonium and 94.8% turbidity from swine wastewater | Guo et al. (2013) | |
Paenibacillus elgii | 30Â mL/L | Remove 68% COD, 83% turbidity, 88% color from real wastewater | Li et al. (2013) | |
Rhizopus sp. | 0.1Â mL/L | Remove 54.09% COD and 92.11% turbidity from potato starch wastewater | Pu et al. (2014) | |
Aspergillus niger | 35Â mg/L | Remove 63% turbidity of river water | Aljuboori et al. (2014) | |
Klebsiella sp. | 5Â mg/L | Remove 53.27% sulfamethoxazole in domestic wastewater | Xing et al. (2013) | |
Klebsiella pneumoniae | 44Â mg/L | Remove 72% TSS from raw wastewater | Nie et al. (2011) | |
Sphingomonas yabuuchiae | 50Â mg/L | Remove 87% estrone, 92% estradiol, 88% ethinylestradiol, 96% estriol from estrogen solution | Zhong et al. (2014) | |
Oceanobacillus polygoni | 4Â g/L | Remove 46.49% SS and 91.08% turbidity from tannery wastewater | Li et al. (2017) | |
Bacillus salmalaya | 60Â mg/L | Remove 81.3% Zn2+, 78.6% As, 77.9% Pb2+, 76.1% Cu2+, 68.7% Cd2+ from synthetic wastewater | Tawila et al. (2019) | |
Bacillus sp. | 2% | Remove 82.8% color, 92.5% COD, 73.6% TSS, 81.9% Cl− from dyeing wastewater | Bisht and Lal (2019) | |
Haloplanus vescus | 150Â mg/L | Removed 81.86 COD and 95.07% chroma from dye wastewater | Zhong et al. (2016) | |
Cellulomonas taurus | Â | Removed 71.05% COD, 18.22 ammonia nitrogen from pig farm wastewater | Zhang et al. (2021) | |
Bacillus sp. | 20Â mg/L | Remove 47% COD and 89% TSS from municipal wastewater | Kanmani and Yuvapriya (2018) | |
Nanoparticle synthesis | Bacillus sp. | Â | Bioflocculant diffused cellulose in AgNO3 solution, generated nanoparticles AgNPs | Muthulakshmi et al. (2017) |
Streptomyces sp. | Â | Add bioflocculant to AgNO3 solution, produced silver nanoparticles | Manivasagan et al. (2015) | |
Bradyrhizobium japonicum | Â | Add bioflocculant to AgNO3 solution, produced nanoparticles AgCl-NPs | Rasulov et al. (2016a) | |
Bacillus sp. | Â | Bioflocculant diffused cellulose in CuSO4 solution, obtained nanoparticles (CuNPs) | Muthulakshmi et al. (2019) | |
Alcalegenis faecalis | 2.5Â g/L | Add bioflocculant in CuSO4 solution, synthesized nanoparticles CuNPs | Dlamini et al. (2020) | |
Azotobacter chroococcum | Â | Bioflocculant exposed to AgNO3 solution, produced nanoparticles AgCl-NPs | Rasulov et al. (2016b) | |
Bacillus subtilis | 5% | Add AgNO3 to bioflocculant solution, generated nanoparticles AgNPs | Sathiyanarayanan et al. (2013) | |
Bacillus mojavensis | 10% | Add AgNO3 to bioflocculant solution, synthesize nanoparticles AgNPs | Zaki et al. (2014) | |
Other applications | Bacillus subtilis | 0.1–1 g/L | Exhibited antibacterial, antioxidant, and anti-inflammatory potential | Giri et al. (2019) |
Stenotrophomonas maltophilia | 0.001–1 g/L | Used as hemostasis agent | Zhao et al. (2017) | |
Paenibacillus jamilae | 100Â mg/L | Used as hemostasis in clinical settings | Zhong et al. (2018) | |
Enterococcus faecalis | 11.57Â mg/L | Recover graphene oxide, FR over 90% to graphene oxide in water | Xu et al. (2018a) |