Rhamnolipid‐Enhanced Biotrickling Filter for Styrene Removal and Microbial Community Analysis

ABSTRACT Styrene is a typical hydrophobic volatile organic compound (VOC) that poses potential risks to both the environment and human health, making its efficient removal of great significance. Adding surfactants is an effective method to enhance efficiency of biotrickling filter (BTF) in removing hydrophobic VOCs. This study conducted experiments with and without adding rhamnolipid (RL, concentration 150 mg/L) as a control to investigate its impact on BTF's performance in removing styrene. Results showed that during BTF's initiation phase, compared with BTF1, which required 9 days for the removal efficiency (RE) to reach 100%, BTF2 achieved 100% RE in only 6 days. After initiation, as the styrene concentration at the inlet increased and the empty bed residence time decreased, the RE of BTF2 was on average 5% higher than that of BTF1 during the same period. Ultimately, BTF2 achieved a maximum elimination capacity (EC) of 186.27 g/m 3 /h, whereas BTF1's maximum EC was 149.51 g/m 3 /h. Following a starvation period, BTF2 restarted within 32 h, whereas BTF1 required 44 h. Finally, microbial community analysis revealed that the genera Psedomonas , Gordonia , and Comamonadaceae played major roles in styrene removal, while BTF2 supplemented with RL exhibited a higher abundance of dominant populations. In conclusion, adding RL to the nutrient solution positively affected BTF's styrene removal performance. It serves as an effective method to enhance BTF's removal of hydrophobic VOCs.

Authors

Institutions

Publication Details

Journal
Chemical Engineering & Technology
Published
2026-01-01
DOI
https://doi.org/10.1002/ceat.70151
Primary Topic
Odor and Emission Control Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rhamnolipid‐Enhanced Biotrickling Filter for Styrene Removal and Microbial Community Analysis

Ronghui Tang, Yu-Rong Lin, Shuaihao Liu, LiYong Wang et al.
Chemical Engineering & Technology
Odor and Emission Control Technologies
article

Rhamnolipid‐Enhanced Biotrickling Filter for Styrene Removal and Microbial Community Analysis

Ronghui Tang, Yu-Rong Lin, Shuaihao Liu, LiYong Wang, Yuan Dai, F. Sun, Jiangxue Long, Haiyan Fu, Panfeng Gao, Qilin Zhang, Yicheng Wu, Aili Yang, Muxing Fu
article en

Abstract

ABSTRACT Styrene is a typical hydrophobic volatile organic compound (VOC) that poses potential risks to both the environment and human health, making its efficient removal of great significance. Adding surfactants is an effective method to enhance efficiency of biotrickling filter (BTF) in removing hydrophobic VOCs. This study conducted experiments with and without adding rhamnolipid (RL, concentration 150 mg/L) as a control to investigate its impact on BTF's performance in removing styrene. Results showed that during BTF's initiation phase, compared with BTF1, which required 9 days for the removal efficiency (RE) to reach 100%, BTF2 achieved 100% RE in only 6 days. After initiation, as the styrene concentration at the inlet increased and the empty bed residence time decreased, the RE of BTF2 was on average 5% higher than that of BTF1 during the same period. Ultimately, BTF2 achieved a maximum elimination capacity (EC) of 186.27 g/m 3 /h, whereas BTF1's maximum EC was 149.51 g/m 3 /h. Following a starvation period, BTF2 restarted within 32 h, whereas BTF1 required 44 h. Finally, microbial community analysis revealed that the genera Psedomonas , Gordonia , and Comamonadaceae played major roles in styrene removal, while BTF2 supplemented with RL exhibited a higher abundance of dominant populations. In conclusion, adding RL to the nutrient solution positively affected BTF's styrene removal performance. It serves as an effective method to enhance BTF's removal of hydrophobic VOCs.

Chemical Engineering & TechnologyVol. 49(1)
Xiamen University of Technology (CN)
Natural Science Foundation of Fujian Province
Openalex Percentile: Top 95%
Odor and Emission Control Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.