Kinetic model‐based prediction of the persistence of Salmonella enterica serovar Typhimurium under tropical agricultural field conditions

Aim: Present a kinetic model‐based approach for using isothermal data to predict the survival of manure‐borne enteric bacteria under dynamic conditions in an agricultural environment. Methods and Results: A model to predict the survival of Salmonella enterica serovar Typhimurium under dynamic temperature conditions in soil in the field was developed. The working hypothesis was that the inactivation phenomena associated with the survival kinetics of an organism in an agricultural matrix under dynamic temperature conditions is for a large part due to the cumulative effect of inactivation at various temperatures within the continuum registered in the matrix in the field. The modelling approach followed included (i) the recording of the temperature profile that the organism experiences in the field matrix, (ii) modelling the survival kinetics under isothermal conditions at a range of temperatures that were registered in the matrix in the field; and (iii) using the isothermal‐based kinetic models to develop models for predicting survival under dynamic conditions. The time needed for 7 log CFU g^?1Salmonella Typhimurium in manure and manure‐amended soil to reach the detection limit of the enumeration method (2 log CFU g^?1) under tropical conditions in the Central Agro‐Ecological Zone of Uganda was predicted to be 61–68 days and corresponded with observed CFU of about 2·2–3·0 log CFU g^?1, respectively. The Bias and Accuracy factor of the prediction was 0·71–0·84 and 1·2–1·4, respectively. Conclusions: Survival of Salm. Typhimurium under dynamic field conditions could be for 71–84% determined by the developed modelling approach, hence substantiating the working hypothesis. Significance and Impact of the Study: Survival kinetic models obtained under isothermal conditions can be used to develop models for predicting the persistence of manure‐borne enteric bacteria under dynamic field conditions in an agricultural environment.     

Dechlorination of three tetrachlorobenzene isomers by contaminated harbor sludge-derived enrichment cultures follows thermodynamically favorable reactions

Dechlorination patterns of three tetrachlorobenzene isomers, 1,2,3,4-, 1,2,3,5-, and 1,2,4,5-TeCB, were studied in anoxic microcosms derived from contaminated harbor sludge. The removal of doubly, singly, and un-flanked chlorine atoms was noted in 1,2,3,4- and 1,2,3,5-TeCB fed microcosms, whereas only singly flanked chlorine was removed in 1,2,4,5-TeCB microcosms. The thermodynamically more favorable reactions were selectively followed by the enriched cultures with di- and/or mono-chlorobenzene as the main end products of the reductive dechlorination of all three isomers. Based on quantitative PCR analysis targeting 16S rRNA genes of known organohalide-respiring bacteria, the growth of Dehalococcoides was found to be associated with the reductive dechlorination of all three isomers, while growth of Dehalobacter, another known TeCB dechlorinator, was only observed in one 1,2,3,5-TeCB enriched microcosm among biological triplicates. Numbers of Desulfitobacterium and Geobacter as facultative dechlorinators were rather stable suggesting that they were not (directly) involved in the observed TeCB dechlorination. Bacterial community profiling suggested bacteria belonging to the phylum Bacteroidetes and the order Clostridiales as well as sulfate-reducing members of the class Deltaproteobacteria as putative stimulating guilds that provide electron donor and/or organic cofactors to fastidious dechlorinators. Our results provide a better understanding of thermodynamically preferred TeCB dechlorinating pathways in harbor environments and microbial guilds enriched and active in anoxic TeCB dechlorinating microcosms.

     

Does a change in reactor loading rate affect activated sludge bioflocculation?

A collection of particles held together by different interparticle forces might eventually give rise to the formation of activated sludge flocs. This process is known as bioflocculation and is crucial for both conventional activated sludge systems and membrane bioreactors. Since industrial wastewater treatment plants generally face varying reactor loading rates due to varying production schemes in the facility, this paper investigates the impact of reactor loading rates on activated sludge bioflocculation. For this purpose, two reactors were initially operated at a nominal reactor loading rate (RLR) and afterwards changed to a high and low RLR. Based on the obtained results, it can be observed that sludge under low RLR conditions is prone to floc fragmentation due to an increase in water-soluble extracellular polymeric substances (EPS). The reactor under high RLR indicated increased floc erosion as a result of increased biomass concentration, which might imply more collisions between sludge flocs, releasing small sludge particles from the floc. In the high RLR reactor, no significant increase in EPS was observed. A distinction between the different (de)flocculation phenomena was made based on sludge volume index, effluent suspended solids and EPS data supplemented with microscopic image analysis.