Self-directing optimization for enhanced caffeine degradation in synthetic coffee wastewater using induced cells of Pseudomonas sp.: Bioreactor studies

Shanmugam, Manoj Kumar; Rathinavelu, Sasikaladevi; Gummadi, Sathyanarayana N.

doi:10.1016/j.jwpe.2021.102341

Cited by 9 publications

(8 citation statements)

References 32 publications

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“…The degradation rate obtained was 40·6% more than previous study (Shanmugam et al . 2021) and it is the highest caffeine degradation rate reported so far. In addition to complete caffeine degradation, it was also found that reduction in COD, BOD and TOC was 72, 78 and 72% respectively.…”

Section: Resultsmentioning

confidence: 95%

“…Our earlier study with synthetic wastewater showed to reduce 82, 92 and 82% of COD, BOD and TOC from wastewater however the initial caffeine concentration was only 2/3rd of current study (Shanmugam et al . 2021).…”

Section: Resultsmentioning

confidence: 99%

“…This model is better than earlier model from self‐directing optimization which predicted 15·6 mg L −1 h −1 of caffeine degradation (Shanmugam et al . 2021).…”

Section: Resultsmentioning

confidence: 99%

“…It was found to degrade caffeine completely at a rate of 16·77 mg L −1 h −1 under aerobic conditions, which is faster than degradation by mixed microbial consortia (Shanmugam et al . 2021). In this study, complete degradation of caffeine in the wastewater was achieved in 6 h at a degradation rate of 23·59 mg L −1 h −1 under optimal conditions using uniform design.…”

Section: Resultsmentioning

confidence: 99%

“…To the extract, stock solutions of salts were added as per the composition (Table ) (Shanmugam et al . 2021). All experiments were conducted with a working volume of 1 L synthetic wastewater in 2·5 L bioreactor.…”

Section: Methodsmentioning

confidence: 99%

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Optimization by uniform design U8(83) approach for enhanced caffeine degradation in synthetic wastewater in bioreactor

Shanmugam

Gummadi

2022

Letters in Applied Microbiology

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Significance and Impact of the Study: Caffeine degradation in coffee wastewater is crucial but less explored area in current treatment strategies. This research focus on the caffeine degradation in a reactor where we used uniform design methodology and mathematical model derived from its data. Experimental design yielded a highest caffeine degradation of 23Á59 mg L −1 h −1 at 0Á3 g L −1 biomass, 200 rev min −1 and 1Á8 vvm which is highest ever reported along with reduction of critical parameters like COD, BOD and TOC. Regression model developed from experimental data predicted an optimum caffeine degradation rate of 24Á2 mg L −1 h −1 at 0Á35 g L −1 , 395 rev min −1 and 1Á62 vvm which was confirmed experimentally.

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Section: Resultsmentioning

confidence: 95%

Section: Resultsmentioning

confidence: 99%

“…This model is better than earlier model from self‐directing optimization which predicted 15·6 mg L −1 h −1 of caffeine degradation (Shanmugam et al . 2021).…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 3 more Smart Citations

Optimization by uniform design U8(83) approach for enhanced caffeine degradation in synthetic wastewater in bioreactor

Shanmugam

Gummadi

2022

Letters in Applied Microbiology

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Analyzing microbial communities and their biodegradation of multiple pharmaceuticals in membrane bioreactors

Suleiman

Demaria

Zimmardi

et al. 2023

Appl Microbiol Biotechnol

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Pharmaceuticals are of concern to our planet and health as they can accumulate in the environment. The impact of these biologically active compounds on ecosystems is hard to predict, and information on their biodegradation is necessary to establish sound risk assessment. Microbial communities are promising candidates for the biodegradation of pharmaceuticals such as ibuprofen, but little is known yet about their degradation capacity of multiple micropollutants at higher concentrations (100 mg/L). In this work, microbial communities were cultivated in lab-scale membrane bioreactors (MBRs) exposed to increasing concentrations of a mixture of six micropollutants (ibuprofen, diclofenac, enalapril, caffeine, atenolol, paracetamol). Key players of biodegradation were identified using a combinatorial approach of 16S rRNA sequencing and analytics. Microbial community structure changed with increasing pharmaceutical intake (from 1 to 100 mg/L) and reached a steady-state during incubation for 7 weeks on 100 mg/L. HPLC analysis revealed a fluctuating but significant degradation (30–100%) of five pollutants (caffeine, paracetamol, ibuprofen, atenolol, enalapril) by an established and stable microbial community mainly composed of Achromobacter, Cupriavidus, Pseudomonas and Leucobacter. By using the microbial community from MBR1 as inoculum for further batch culture experiments on single micropollutants (400 mg/L substrate, respectively), different active microbial consortia were obtained for each single micropollutant. Microbial genera potentially responsible for degradation of the respective micropollutant were identified, i.e. Pseudomonas sp. and Sphingobacterium sp. for ibuprofen, caffeine and paracetamol, Sphingomonas sp. for atenolol and Klebsiella sp. for enalapril. Our study demonstrates the feasibility of cultivating stable microbial communities capable of degrading simultaneously a mixture of highly concentrated pharmaceuticals in lab-scale MBRs and the identification of microbial genera potentially responsible for the degradation of specific pollutants. Key points • Multiple pharmaceuticals were removed by stable microbial communities. • Microbial key players of five main pharmaceuticals were identified.

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The effect of temperature on the activity and stability of the thermostable enzyme caffeine dehydrogenase from Pichia manshurica CD1

et al. 2023

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Self-directing optimization for enhanced caffeine degradation in synthetic coffee wastewater using induced cells of Pseudomonas sp.: Bioreactor studies

Cited by 9 publications

References 32 publications

Optimization by uniform design U8(83) approach for enhanced caffeine degradation in synthetic wastewater in bioreactor

Optimization by uniform design U8(83) approach for enhanced caffeine degradation in synthetic wastewater in bioreactor

Analyzing microbial communities and their biodegradation of multiple pharmaceuticals in membrane bioreactors

The effect of temperature on the activity and stability of the thermostable enzyme caffeine dehydrogenase from Pichia manshurica CD1

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