Organic Micropollutant Degradation in Sewage Sludge during Composting under Thermophilic Conditions

Poulsen, Torben; Bester, Kai

doi:10.1021/es9038243

Cited by 66 publications

(54 citation statements)

References 43 publications

(66 reference statements)

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“…The VS content shows no consistent trend, as also observed by Poulsen and Bester (2010) for the same type of compost, indicating that the compost is not easily degradable. This is likely due to evaporation from the compost piles over time, as no irrigation took place.…”

Section: Resultssupporting

confidence: 54%

“…Representative sampling for characterizing compost properties and process conditions is therefore difficult, especially owing to the small sample sizes often required for measurements (Poulsen and Bester, 2010). To improve sample homogeneity and representativity, Poulsen and Bester (2010) suggested collecting a set of primary samples (e.g. The sample should further be collected and handled so as not to affect properties that are to be measured.…”

Section: Introductionmentioning

confidence: 99%

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Optimized sampling strategy for measurement of biomass properties during full-scale composting

2013

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Biomass to be composted is often very heterogeneous and collection of representative samples for determination of compost properties is therefore difficult, especially under full-scale conditions. During full-scale composting different biomasses in the amount of 10-100 tons are mixed, yielding a very heterogeneous mixture. Final sample size for compost property determination is usually a few grams compared with compost pile masses of hundreds of tons. Desired sample particle size is about 1 mm, while compost particle size ranges from 5 to 50 cm. This study focuses on the development of a strategy for sampling under full-scale conditions for minimum measurement uncertainty based on selected material properties. Optimization was conducted considering multiple parameters, such as number of pile turnings before sampling, number of samples collected, sample mass, sample homogenization, particle size reduction and number of replicate measurements. Measurement uncertainty was evaluated using water content, inorganic matter content and nutrient (nitrogen, phosphorus) content. For each parameter measurement variability was determined as a function of sampling strategy and used to identify optimal sampling strategy.

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Section: Resultssupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Optimized sampling strategy for measurement of biomass properties during full-scale composting

2013

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“…Thus, the moisture content should be reduced to an appropriate level for the subsequent disposal, and this should become a principal part of SS treatment (Huang et al, 2014). SS management in which dewatering plays a significant part accounts for between 49 and 53% of the total operating costs (Murray et al, 2008;Hospido et al, 2010), and improper treatment may lead to repollution because of the large amounts of pollutants in SS (VerBerkmoes et al, 2009;Poulsen and Bester, 2010). Consequently, drying SS poses economic and environmental challenges for WWTPs and municipalities around the globe (Raynaud et al, 2012;Jin et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Bacterial communities and their association with the bio-drying of sewage sludge

et al. 2016

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a b s t r a c tBio-drying is a technology that aims to remove water from a material using the microbial heat originating from organic matter degradation. However, the evolution of bacterial communities that are associated with the drying process has not been researched systematically. This study was performed to investigate the variations of bacterial communities and the relationships among bacterial communities, water evaporation, water generation, and organic matter degradation during the bio-drying of sewage sludge. High-throughput pyrosequencing was used to analyze the bacterial communities, while water evaporation and water generation were determined based on an in situ water vapor monitoring device. The values of water evaporation, water generation, and volatile solids degradation were 412.9 g kg À1 sewage sludge bio-drying material (SSBM), 65.0 g kg À1 SSBM, and 70.2 g kg À1 SSBM, respectively.Rarefaction curves and diversity indices showed that bacterial diversity plummeted after the temperature of the bio-drying pile dramatically increased on d 2, which coincided with a remarkable increase of water evaporation on d 2. Bacterial diversity increased when the pile cooled. During the thermophilic phase, in which Acinetobacter and Bacillus were the dominant genera, the rates of water evaporation, water generation, and VS degradation peaked. These results implied that the elevated temperature reshaped the bacterial communities, which played a key role in water evaporation, and the high temperature also contributed to the effective elimination of pathogens.

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“…The identification of OP in almost every environmental matrix, including surface and ground water, air, soil, sewage and sludge, demonstrates the extent and persistence of these pollutants [1,2,3,4,5,6,7]. It has also recently been demonstrated that urinary metabolites of OP can be seen in the general human population at background levels [8].…”

Section: Introductionmentioning

confidence: 99%

1H Nuclear Magnetic Resonance (NMR) Metabolomic Study of Chronic Organophosphate Exposure in Rats

et al. 2012

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1H NMR spectroscopy and chemometric analysis were used to characterize rat urine obtained after chronic exposure to either tributyl phosphate (TBP) or triphenyl phosphate (TPP). In this study, the daily dose exposure was 1.5 mg/kg body weight for TBP, or 2.0 mg/kg body weight for TPP, administered over a 15-week period. Orthogonal signal correction (OSC) -filtered partial least square discriminant analysis (OSC-PLSDA) was used to predict and classify exposure to these organophosphates. During the development of the model, the classification error was evaluated as a function of the number of latent variables. NMR spectral regions and corresponding metabolites important for determination of exposure type were identified using variable importance in projection (VIP) coefficients obtained from the OSC-PLSDA analysis. As expected, the model for classification of chronic (1.5–2.0 mg/kg body weight daily) TBP or TPP exposure was not as strong as the previously reported model developed for identifying acute (15–20 mg/kg body weight) exposure. The set of majorly impacted metabolites identified for chronic TBP or TPP exposure was slightly different than those metabolites previously identified for acute exposure. These metabolites were then mapped to different metabolite pathways and ranked, allowing the metabolic response to chronic organophosphate exposure to be addressed.

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Organic Micropollutant Degradation in Sewage Sludge during Composting under Thermophilic Conditions

Cited by 66 publications

References 43 publications

Optimized sampling strategy for measurement of biomass properties during full-scale composting

Optimized sampling strategy for measurement of biomass properties during full-scale composting

Bacterial communities and their association with the bio-drying of sewage sludge

1H Nuclear Magnetic Resonance (NMR) Metabolomic Study of Chronic Organophosphate Exposure in Rats

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