Simultaneously enhanced treatment efficiency of simulated hypersaline azo dye wastewater and membrane antifouling by a novel static magnetic field membrane bioreactor (SMFMBR)
“…It further proved the enhancement of the MF on the bacterial adhesion to the packings (Moore 1979 ). Related to the result obtained previously that higher DHA of the attached cells, compared to the suspended ones, the MF strengthen the overall activity of microorganisms, which was benefit for CB biodegradation (Wang et al 2022a , b ). Fig.…”
Section: Resultsmentioning
confidence: 60%
“…Packing modification is a typical bioaugmentation process with the advantages of excellent cellular affinity, remarkable effects, and available operation. Various modification methods have been recently developed to optimise moisture retention, microbial attachment, biofilm formation, and the mass transfer process (Ramirez et al 2009 ; San-Valero et al 2017 ; Wang et al 2022a , b ). As one of the modified packing, magnetic packing with internal MF would be a practical choice owing to its easy operation and no requirement for additional magnetising equipment.…”
Magnetic fields (MF) have been proven efficient in bioaugmentation, and the internal MFs have become competitive because they require no configuration, despite their application in waste gas treatment remaining largely unexplored. In this study, we firstly developed an intensity-regulable bioaugmentation with internal MF for gaseous chlorobenzene (CB) treatment with modified packing in batch bioreactors, and the elimination capacity increased by up to 26%, surpassing that of the external MF. Additionally, the microbial affinity to CB and the packing surface was enhanced, which was correlated with the ninefold increased secreted ratio of proteins/polysaccharides, 43% promoted cell surface hydrophobicity, and half reduced zeta potential. Furthermore, the dehydrogenase content was promoted over 3 times, and CB removal steadily increased with the rising intensity indicating enhanced biofilm activity and reduced CB bioimpedance; this was further supported by kinetic analysis, which resulted in improved cell adhesive ability and biological utilisation of CB. The results introduced a novel concept of adjustable magnetic bioaugmentation and provided technical support for industrial waste gas treatments.
Key points
• Regulable magnetic bioaugmentation was developed to promote 26% chlorobenzene removal
• Chlorobenzene mineralisation was enhanced under the magnetic field
• Microbial adhesion was promoted through weakening repulsive forces
Graphical abstract
“…It further proved the enhancement of the MF on the bacterial adhesion to the packings (Moore 1979 ). Related to the result obtained previously that higher DHA of the attached cells, compared to the suspended ones, the MF strengthen the overall activity of microorganisms, which was benefit for CB biodegradation (Wang et al 2022a , b ). Fig.…”
Section: Resultsmentioning
confidence: 60%
“…Packing modification is a typical bioaugmentation process with the advantages of excellent cellular affinity, remarkable effects, and available operation. Various modification methods have been recently developed to optimise moisture retention, microbial attachment, biofilm formation, and the mass transfer process (Ramirez et al 2009 ; San-Valero et al 2017 ; Wang et al 2022a , b ). As one of the modified packing, magnetic packing with internal MF would be a practical choice owing to its easy operation and no requirement for additional magnetising equipment.…”
Magnetic fields (MF) have been proven efficient in bioaugmentation, and the internal MFs have become competitive because they require no configuration, despite their application in waste gas treatment remaining largely unexplored. In this study, we firstly developed an intensity-regulable bioaugmentation with internal MF for gaseous chlorobenzene (CB) treatment with modified packing in batch bioreactors, and the elimination capacity increased by up to 26%, surpassing that of the external MF. Additionally, the microbial affinity to CB and the packing surface was enhanced, which was correlated with the ninefold increased secreted ratio of proteins/polysaccharides, 43% promoted cell surface hydrophobicity, and half reduced zeta potential. Furthermore, the dehydrogenase content was promoted over 3 times, and CB removal steadily increased with the rising intensity indicating enhanced biofilm activity and reduced CB bioimpedance; this was further supported by kinetic analysis, which resulted in improved cell adhesive ability and biological utilisation of CB. The results introduced a novel concept of adjustable magnetic bioaugmentation and provided technical support for industrial waste gas treatments.
Key points
• Regulable magnetic bioaugmentation was developed to promote 26% chlorobenzene removal
• Chlorobenzene mineralisation was enhanced under the magnetic field
• Microbial adhesion was promoted through weakening repulsive forces
Graphical abstract
In the current report, both response surface methodology (RSM) and artificial neural network (ANN) were employed to develop an innovative way for removing crystal violet (CV) from aqueous media using Haloxylon salicornicum (HS) as a cost‐effective, eco‐friendly adsorbent. HS was characterized using scanning electron microscopy (SEM) and Fourier‐transform infrared (FTIR) spectroscopy. The effects of operational parameters such as adsorbent dosage, initial dye concentration, and pH on HS were studied using a central composite design (CCD). A comparative analysis of the model findings and experimental measurements revealed high correlation coefficients (R2ANN = 0.994, R2RSM = 0.971), indicating both models accurately predicted HS. The predictive performance of the ANN and RSM models was evaluated using metrics such as mean absolute deviation (MAD), mean absolute percentage error (MAPE), root mean square error (RMSE), mean square error (MSE), and the correlation coefficient (R2). The results indicate that the ANN model provides greater accuracy compared to the RSM model. The experimental data were analyzed using both linear and nonlinear forms of pseudo‐first and pseudo‐second order kinetic models (LPFO, NLPFO, LPSO, and NLPSO). Statistical error analysis was conducted to identify the best‐fitting kinetic or isotherm models for the adsorption data. The adsorption process of CV/HS was best described by NLPSO and LPSO. Additionally, the adsorption isotherms were analyzed using linear and nonlinear regression methods. The findings indicated that the linear Langmuir and Freundlich isotherms provided a more accurate fit compared to the nonlinear models, demonstrating greater effectiveness in accounting for the adsorption parameters. Thermodynamic investigations clearly demonstrate that the biosorption of CV is spontaneous and exothermic. This cost‐effective adsorbent is highly promising for treating textile wastewater.
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