Comparative Evaluation of Selected Biological Methods for the Removal of Hydrophilic and Hydrophobic Odorous VOCs from Air

Gospodarek, Milena; Rybarczyk, Piotr; Szulczyński, Bartosz; Gębicki, Jacek

doi:10.3390/pr7040187

Cited by 52 publications

(22 citation statements)

References 126 publications

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“…Among various treatment methods for air deodorization (e.g. absorption, adsorption, thermal oxidation), biological processes, including biofiltration, are favored due to high efficiency, low operational costs and minute secondary pollution (McNevin and Barford 2000;Mudliar et al 2010;Gospodarek et al 2019). Biotrickling filtration (BTF) is a specific mode of biofiltration, combining the features of biofilters and bioscrubbers in one apparatus.…”

Section: Introductionmentioning

confidence: 99%

Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air

et al. 2019

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This paper presents the results of investigations on the removal of cyclohexane vapors from air using a peat-perlite packed biotrickling filter. Effects of basic process parameters i.e. inlet loading and empty bed residence time as well as introduction of n-butanol to the treated air stream and starvation periods on the process performance were evaluated. The results show that the introduction of hydrophilic n-butanol results in an enhanced removal of hydrophobic cyclohexane comparing to the experiments where only cyclohexane was treated. Additionally, the biotrickling filter performance after the starvation events is regained to more extent for mixed system than for the single cyclohexane. A novel and interesting element of the paper is the application of an electronic nose for the process monitoring. Obtained results are discussed in the perspective of an influence of the presence of a compound with different affinity to aqueous phase on the removal efficiency of the compound with opposite chemical properties. Keywords Biofiltration • Biotrickling filter • Cyclohexane • n-Butanol • Removal of VOCs • Electronic nose List of symbols a Coefficient of MLR model B Boiling point (°C) BF Biotrickling filter BTF Biotrickling filtration c Concentration of cyclohexane in the gas mixture (ppm v/v) C Concentration of cyclohexane in the gas mixture (mg m −3) d Internal diameter of BTF (m) EC Elimination capacity (g m −3 h −1) EBRT Empty bed residence time s GC Gas chromatography h Total height of a BTF packing (m) H Henry's constant (mol m −3 Pa −1)

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Section: Introductionmentioning

confidence: 99%

Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air

et al. 2019

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“…In other words, division lines are always perpendicular to the division axis in variable space. The use of decision trees for the evaluation of processes such as biofiltration, wastewater treatment, or the analysis of data obtained from the electronic nose, has already been used, among others, in the works [29][30][31]. All calculations were performed in RStudio 1.1.463 using the 'rpart' library.…”

Section: Decision Trees Algorithmmentioning

confidence: 99%

The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

2019

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This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in the fermentation sludge. The analyses revealed that the implementation of artificial neural networks allowed the prediction of the values of odor intensity and the hedonic tone of the post-fermentation sludge at the level of 30% mean absolute percentage error. Application of the decision tree made it possible to determine what input parameters the fermentation feed should have in order to arrive at the post-fermentation sludge with an odor intensity <2 and hedonic tone >−1. It was shown that the aforementioned phenomenon was influenced by the following factors: concentration of p-xylene, pH, concentration of volatile fatty acids, and concentration of p-cresol.

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“…Most models describing this process are applicable only to pollutants highly soluble in water at low concentrations levels [3]. Descending removal efficiency of some groups of organic pollutants consecutively: alcohols > esters > ketones > aromatic hydrocarbons > aliphatic hydrocarbons, correlates directly with Henry's constant, which shows that the lower the ratio of pollutants solubility in water, the less likely the possibility of their biodegradation in the biofilter bed [4,5]. Therefore, not only the pre-purification of gases transported into the filter bed is examined, but also a change in the parameters of the purification process and modification of the filter bed to improve its sorption and degradation qualities (e.g.…”

Section: Introductionmentioning

confidence: 99%

The effect of betaine on the removal of toluene by biofiltration

2019

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Removal of certain organic pollutants from the environment may be difficult due to their poor water solubility and high vapour pressure. Particularly, these are factors limiting the use of biological remediation methods because they affect the bioavailability of xenobiotics. Therefore, an important issue in the biofiltration of gasses is the removal of hydrophobic compounds. This paper presents the results of research showing relation the application of a chosen surfactant (betaine) to the efficiency of toluene biofiltration. The research was conducted on a laboratory-scale biofilter. Elimination capacity and removal efficiency at different biofilter loads have been researched. The maximum elimination capacity was 21.2 and 32.3 g/m 3 h for the control bed and for the bed to which the betaine solution was applied, respectively. For the results of the experiment, statistical analyses and model calculations were performed. The results were compared with the reference literature.

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Comparative Evaluation of Selected Biological Methods for the Removal of Hydrophilic and Hydrophobic Odorous VOCs from Air

Cited by 52 publications

References 126 publications

Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air

Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air

The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

The effect of betaine on the removal of toluene by biofiltration

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