Wastewater Treatment Plants In Australia Research Articles

High throughput and sensitive quantitation of tobacco-specific alkaloids and nitrosamines in wastewater

Tobacco-specific alkaloids and nitrosamines are important biomarkers for the estimation of tobacco use and human exposure to tobacco-specific nitrosamines that can be monitored by wastewater analysis. Thus far their analysis has used solid phase extraction, which is costly and time-consuming. In this study, we developed a direct injection liquid chromatography-tandem mass spectrometry method for the quantification of two tobacco-specific alkaloids and five nitrosamines in wastewater. The method achieved excellent linearity (R2 > 0.99) for all analytes, with calibration ranging from 0.10 to 800 ng/L. Method limits of detection and quantification were 0.17 ng/L (N-nitrosonornicotine, NNN) and 1.0 ng/L (N-nitrosoanatabine (NAT) and NNN), with acceptable accuracy (100 % ± 20 %) and precision (± 15 %). Analyte loss during filtration was < 15 %, and the relative matrix effect was < 10 %. The method was applied to 43 pooled wastewater samples collected from three wastewater treatment plants in Australia between 2017 and 2021. Anabasine and anatabine were detected in all samples at concentrations of 5.0 – 33 ng/L and 12 – 41 ng/L, respectively. Three of the five tobacco-specific nitrosamines (NAT, NNN, and (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol) (NNAL)) were detected, in < 50 % of the wastewater samples, with concentrations nearly ten times lower than the tobacco alkaloids (< 1.0 – 6.2 ng/L). In-sewer stability of the nitrosamines was also assessed in this study, with four (NAT, NNAL, NNN, and N-nitrosoanabasine (NAB)) being stable (i.e. < 20 % transformation over 12 h in both control reactor (CR) and rising main reactor (RM) and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK) being moderately stable (< 40 % loss over 12 h in RM). This direct injection method provides a high-throughput approach in simultaneous investigation of tobacco use and assessment of public exposure to tobacco-specific nitrosamines.

Associations between wastewater gut microbiome and community obesity rates: Potential microbial biomarkers for surveillance

Gut microbes are crucial for human health, which are usually accumulated in urban wastewater systems. Seven wastewater treatment plants in Australia with distinct population obesity rates between 18% and 33% were selected for wastewater sampling and analysis. Human gut microbiome were detected using metagenomic sequencing to investigate their associations with the community obesity rate. To unravel this complex relationship, a range of algorithm models, including linear discriminant analysis effect size (LEfSe), similarity percentage analysis (SIMPER), statistical analysis of metagenomic profiles (STAMP), linear models for microarray and RNA-Seq data analysis (LIMMA), Relief, ratio approach for identifying differential abundance (RAIDA), least absolute shrinkage and selection operator (LASSO), support vector machine (SVM), Boruta, DESeq2 and analysis of compositions of microbiomes with bias correction (ANCOM-BC), were used to identify potential bacterial biomarkers for obesity in the wastewater microbiome. Among these algorithm models, LEfSe, LIMMA, SIMPER and SVM are effective in identifying multiple microbial biomarkers. Specific human gut microbes, including Ruminococcus_E, Agathobacter, Fusicatenibacter, Anaerobutyricum, Blautia_A and Neisseria, were identified as potential consensus microbial biomarkers for obesity in the population. A high obesity rate is mainly characterized by a high abundance of pathogenic bacteria and microorganisms associated with xenobiotic biodegradation and metabolism, endocrine and metabolic diseases, and transcription pathways. This study underscores the innovative potential of leveraging human gut microbes in wastewater as biomarkers for monitoring obesity levels across communities, offering a novel, cost-effective, and indirect approach to public health surveillance.

Mass quantification of nanoplastics at wastewater treatment plants by pyrolysis–gas chromatography–mass spectrometry

Municipal wastewater treatment plants (WWTPs) play a crucial role in the collection and redistribution of plastic particles from both households and industries, contributing to their presence in the environment. Previous studies investigating the levels of plastics in WWTPs, and their removal rates have primarily focused on polymer type, size, shape, colour, and particle count, while comprehensive understanding of the mass concentration of plastic particles, particularly those <1 µm (nanoplastics), remains unclear and lacking. In this study, pyrolysis gas chromatography–mass spectrometry was used to simultaneously determine the mass concentration of nine selected polymers (i.e., polyethylene (PE), polypropylene (PP), polystyrene (PS), poly(ethylene terephthalate) (PET), nylon 6, nylon 66, polyvinylchloride (PVC), poly(methyl methacrylate) (PMMA) and polycarbonate (PC)) below 1 µm in size across the treatment processes or stages of three WWTPs in Australia. All the targeted nanoplastics were detected at concentrations between 0.04 and 7.3 µg/L. Nylon 66 (0.2–7.3 µg/L), PE (0.1–6.6 µg/L), PP (0.1–4.5 µg/L), Nylon 6 (0.1–3.6 µg/L) and PET (0.1–2.2 µg/L), were the predominant polymers in the samples. The mass concentration of the total nanoplastics decreased from 27.7, 18 and 9.1 µg/L in the influent to 1, 1.4 and 0.8 µg/L in the effluent, with approximate removal rates of 96 %, 92 % and 91 % in plants A, B and C, respectively. Based on annual wastewater effluent discharge, it is estimated that approximately 24, 2 and 0.7 kg of nanoplastics are released into the environment per year for WWTPs A, B and C, respectively. This study investigated the mass concentrations and removal rates of nanoplastics with a size range of 0.01–1 µm in wastewater, providing important insight into the pollution levels and distribution patterns of nanoplastics in Australian WWTPs.

Long-term onsite monitoring of a sewage sludge drying pan finds methane emissions consistent with IPCC default emission factor

As the wastewater sector moves towards achieving net zero greenhouse gas (GHG) emissions, quantifying and understanding fugitive emissions from various sewage treatment steps is crucial for developing effective GHG abatement strategies. Methane (CH4) emissions from a sludge drying pan (SDP) were measured at a wastewater treatment plant in Australia for more than a year, using a micrometeorological technique paired with open-path lasers. The emission rate was tightly associated with sludge additions, climatology, and operational processes. The mean emission rate during the 90 weeks after initial sludge addition was 2.3 (± 0.8) g m−2 d−1, with cumulative emissions of approximately 32 t of CH4. A dynamic temporal pattern of emissions was observed, highlighting the importance of continuous (or near-continuous) measurements for quantifying SDP emissions. A Methane Correction Factor (MCF) expressed as a fraction of the measured chemical oxygen demand of the sludge, was determined to be 0.17 after 63 weeks (the median operational cycle duration at the facility). This is broadly consistent with, albeit slightly less than, the IPCC default value of 0.2 for shallow anaerobic lagoons. These emission measurements will support wastewater utilities that employ open air sludge drying processes to develop effective GHG abatement strategies.

Microplastics in Kuwait’s Wastewater Streams

The wastewater stream is the most significant contributor of microplastics (MPs) to the environment. There are five wastewater treatment plants (WWTPs) in Kuwait. This baseline study provides an overview of MP removal in three major WWTPs in Kuwait that treat some 81.31% of the wastewater produced. The Sulabiya WWTP was the most efficient in MP removal, followed by the Kabd and Umm Al-Haiman WWTPs. The MP removal efficiency of plants in Kuwait is very high for Sulabiya WWTP and Kabd WWTP with an average of 2.5 MP L−1 in treated effluent comparable to the WWTPs in Australia, the United States, and Europe. The standard methodology of sample collection, preparation, and identification using microscopic examination and micro-Raman spectrometry was followed. Over 94.5 billion MPs enter the three WWTPs daily; 92.3 billion MPs are retained in sludge, while 2.2 billion are passed into the environment due to the use of treated effluent. The influent, effluent, and sludge MP inventories ranged between 119 and 230 MP L−1, 1 and 12 MP L−1, and 72 and 103 MP 10 g−1 respectively. The fiber was the dominant shape, and white, transparent, and black were prevalent colors. Currently, sludge is not used in Kuwait for any terrestrial or agricultural application; however, sludge is routinely used in many countries as a soil additive in agricultural farms. Using effluent water in irrigation leads to MP dissemination in the terrestrial environment. It is necessary to assess how far these MPs move in the soil profile and if they can contaminate the shallow aquifers. The observation of MP retention in sludge and effluent is empirical, and the use of these matrixes in agriculture is likely to raise an issue of food safety.

Mass quantification of microplastic at wastewater treatment plants by pyrolysis-gas chromatography–mass spectrometry

Municipal wastewater treatment plants (WWTPs) are a central point of collection of plastic particles from households and industry and for their re-distribution into the environment. Existing studies evaluating levels of plastics in WWTPs, and their removal rates have reported and used data on polymer type, size, shape, colour, and number of plastic particles, while the total mass concentration of plastic particles (especially >1 μm) remains unclear and unknown. To address this knowledge gap, raw influent, effluent, and reference water samples from three WWTPs in Australia were collected to analyse the mass concentrations and removal rates of seven common plastics (>1 μm in size) across the treatment schemes. Quantitative analysis was performed by pressurized liquid extraction followed by pyrolysis coupled to gas chromatography mass spectrometry. Results showed that the total plastic content in the WWTPs raw influent samples was between 840 and 3116 μg/L, resulting in an inflow of between about 2.1 and 196.4 kg/day of the total measured plastics. Overall, >99 % by mass of the plastics entering the three WWTPs from the raw influent was removed during the pre-treatment stages, presumably ending up in the sewage sludge, which means emissions (via treated effluent) from the treatment plants are low. Compared with the raw influent, the plastic mass concentrations in the treated effluents (i.e., Class C, A, and final effluent) from the three WWTPs, as well as the reference water samples within their catchments were below the limits of reporting. Of the five quantified plastic types, polyethylene (PE, 76.4 %), and polyvinylchloride (PVC, 21 %) dominated by mass, while polyethylene terephthalate (PET, 1.9 %), polypropylene (PP, 0.4 %) and polymethyl methacrylate (PMMA, 0.3 %) accounted for a small proportion of the total. Overall, this study investigated the mass concentrations of plastic particles above 1 μm in wastewater and their removal, which provided valuable information regarding the pollution level and distribution characteristics of plastic polymers in Australian WWTPs.

Background release and potential point sources of per- and polyfluoroalkyl substances to municipal wastewater treatment plants across Australia

Wastewater treatment plants (WWTPs) are known to be significant sources of per- and polyfluoroalkyl substances (PFAS) to the environment. In this study, PFAS were measured in the influent of 76 municipal wastewater treatment plants (WWTPs) serving approximately 53% of the Australian population. Of fourteen target PFAS, twelve analytes including six C5–C10 perfluoroalkyl carboxylic acids (PFCAs), four C4-10 perfluoroalkyl sulfonic acids (PFSAs) and two fluorotelomer sulfonates (6:2 and 8:2 FTS) were detected. Of these, PFOS, PFHxS and PFHxA had the highest median concentrations. The per capita background release of Σ12 PFAS to WWTP influent in Australia was estimated to be 8.1–24 μg/d/per person. The background release was supplemented by contributions from catchment specific point sources (i.e., industry, airports, military bases, and landfills), whereby the number of industrial sites positively correlated with the per capita mass load of Σ12 PFAS (r = 0.5–0.63, p < 0.01). The per capita mass loads were extrapolated to the entire Australian population, with estimates suggesting that approximately 1 kg/d of Σ12 PFAS reach WWTPs in Australia (300–400 kg annually), with more than half of the PFAS (∼59%) attributed to background release and the remaining (∼41%) to catchment specific point sources. These data provide insight into the release of major PFAS to wastewater at a national scale in Australia.

Trends in artificial sweetener consumption: A 7-year wastewater-based epidemiology study in Queensland, Australia

A 7-year temporal trend study of artificial sweetener consumption was performed by determining per capital mass loads in 293 influent wastewater samples collected from a wastewater treatment plant in Australia between 2012 and 2018. Population-weighted per capita mass loads of the four detected artificial sweeteners ranged from 2.4 ± 0.8 mg d−1 p−1 for saccharin to 7.8 ± 2.0 mg d−1 p−1 for acesulfame over the study period. Negligible intra-week fluctuations were observed, however the consumption of acesulfame was seen to be significantly influenced by season with the highest consumption in summer. The consumption of sucralose and saccharin significantly increased with an annual increase rate of 10% and 6.0%. Cyclamate consumption declined over the same period with average annual decrease rate of 11%, which agrees with data from market surveys. Sucrose equivalence of total artificial sweeteners consumption showed an increase between 2012 and 2016, then decreased in 2018. This is the first long-term trend study of artificial sweetener consumption by wastewater analysis and highlights the feasibility to quantitatively measure artificial sweeter consumption over time.

An audit of microplastic abundance throughout three Australian wastewater treatment plants

Wastewater treatment plants (WWTPs) have been identified as an important pathway of microplastics to the environment. Most studies have focused on wastewater effluent, but generally only a small fraction of microplastics entering WWTPs are present in treated effluent. Instead, the majority of microplastics are expected to be retained in the sludge. To our knowledge, there is limited information on microplastics in sludge/biosolids from Australian WWTPs, despite 75% of biosolids produced in Australia being used for agriculture. This study evaluated the abundance of microplastics throughout the treatment trains of three WWTPs in Australia. The fate of microplastics >25 μm during treatment and their release to the environment was evaluated using an audit approach. The highest microplastic concentrations were detected in the influent, with fibres the dominant form of microplastic found. The screening and grit removal process preceding primary treatment removed 69–79% of microplastics, with these microplastics transported to landfill. Only 0.2–1.8% of the total microplastics in the influent were present in the final effluent, while 8–16% were retained in biosolids. This equates to between 22.1 × 106 to 133 × 106 microplastic particles per day released in effluent, between 864 × 106 to 1020 × 106 microplastic particles per day in biosolids, and between 4100 × 106 to 9100 × 106 microplastic particles per day transported to landfill. This study shows for the first time that most microplastics are retained during the initial screening and grit removal process with the load of microplastics going to landfill an order of magnitude greater than that in biosolids. Landfills may thus be an important sink (and potential future source) of microplastics from wastewater.

Complete Genome Sequence of Moraxella osloensis Strain YV1, Isolated from an Australian Wastewater Treatment Plant.

We report the complete genome sequence of Moraxella osloensis strain YV1, which was isolated from a wastewater treatment plant in Australia. The YV1 genome comprises a 2,615,801-bp chromosome and four plasmids. Moraxella osloensis strain YV1 displays the distinctive morphology of Eikelboom morphotype 1863.

Identification and quantification of selected plastics in biosolids by pressurized liquid extraction combined with double-shot pyrolysis gas chromatography-mass spectrometry.

The identification and quantification of selected plastics (polystyrene (PS), polycarbonate (PC), poly-(methyl methacrylate) (PMMA), polypropylene (PP), polyethylene terephthalate (PET), polyethylene (PE) and polyvinyl chloride (PVC)) in biosolids (treated sewage sludge) was performed by pressurized liquid extraction (PLE) combined with double-shot pyrolysis gas chromatography-mass spectrometry. Validation of the method yielded recoveries of between 85 and 128% (mean RSD 11%) at a linear range of between 0.01 and 2μg. The distribution of plastics within 25 biosolid samples from a single wastewater treatment plant in Australia was assessed. The mass concentration of PE, PVC, PP, PS and PMMA was between 0.1 and 4.1mg/g dry weight (dw) across all samples, with a total plastic concentration ƩPlastics of between 2.8 and 6.6mg/g dw (median=4.1mg/g dw). PE was the predominant plastic detected (mean concentration of 2.2mg/g dw), contributing to 50% of the total of all plastics. Overall, this study demonstrates that pressurized liquid extraction (PLE) combined with double-shot pyrolysis gas chromatography-mass spectrometry can be used to identify and quantify PE, PP, PVC, PS, and PMMA in biosolids.

Annual release of selected UV filters via effluent from wastewater treatment plants in Australia

Studies conducted globally have identified wastewater effluent as a key source of UV filters released into the aquatic environment. We assessed the annual release of UV filters from wastewater treatment plant effluent in Australia and evaluated the removal of these chemicals during wastewater treatment. Effluent samples were collected from 33 sites alongside matching influent samples. Sample collection predominately occurred during the Australian Census in August 2016, which allowed for accurate per capita normalisation of the results. A subset of sites was also sampled over the Southern Hemisphere summer (December–February) period. Five UV filters were detected with at least one detected in 95% of effluent samples. The summed concentration of UV filters ranged from 130 ng L−1 to 8400 ng L−1 and averaged 2800 (±1900) ng L−1. Of the target UV filters, 2-phenylbenzimidazole-5-sulfonic acid (PBSA) and benzophenone 4 (BP4) showed the lowest removal efficiencies (11 ± 36% and 51 ± 43%, respectively) across all sites and were the most abundant in effluent. Average estimated removal efficiencies of the other compounds were between 59 (±24) % (4-methylbenzylidene camphor (4-MBC)) and 74 (±22) % (benzophenone 1 (BP1)). We did not find a trend in seasonal differences in the per capita release of UV filters in effluent samples. We estimate that approximately 40% of UV filter loads measured in influent are breaking through to the effluent resulting in the release of approximately 20 kg day−1 of the selected UV filters into the aquatic environment from treated wastewater effluent in Australia.

Meta-transcriptomics reveals a diverse antibiotic resistance gene pool in avian microbiomes

BackgroundAntibiotic resistance is rendering common bacterial infections untreatable. Wildlife can incorporate and disperse antibiotic-resistant bacteria in the environment, such as water systems, which in turn serve as reservoirs of resistance genes for human pathogens. Anthropogenic activity may contribute to the spread of bacterial resistance cycling through natural environments, including through the release of human waste, as sewage treatment only partially removes antibiotic-resistant bacteria. However, empirical data supporting these effects are currently limited. Here we used bulk RNA-sequencing (meta-transcriptomics) to assess the diversity and expression levels of functionally viable resistance genes in the gut microbiome of birds with aquatic habits in diverse locations.ResultsWe found antibiotic resistance genes in birds from all localities, from penguins in Antarctica to ducks in a wastewater treatment plant in Australia. Comparative analysis revealed that birds feeding at the wastewater treatment plant carried the greatest resistance gene burden, including genes typically associated with multidrug resistance plasmids as the aac(6)-Ib-cr gene. Differences in resistance gene burden also reflected aspects of bird ecology, taxonomy, and microbial function. Notably, ducks, which feed by dabbling, carried a higher abundance and diversity of resistance genes than turnstones, avocets, and penguins, which usually prey on more pristine waters.ConclusionsThese transcriptome data suggest that human waste, even if it undergoes treatment, might contribute to the spread of antibiotic resistance genes to the wild. Differences in microbiome functioning across different bird lineages may also play a role in the antibiotic resistance burden carried by wild birds. In summary, we reveal the complex factors explaining the distribution of resistance genes and their exchange routes between humans and wildlife, and show that meta-transcriptomics is a valuable tool to access functional resistance genes in whole microbial communities.

Per capita loads of organic UV filters in Australian wastewater influent

Per capita loads of six UV filters were estimated in wastewater influent samples from 36 wastewater treatment plants in Australia collected over a weekend period during the 2016 Australian Census. Of the analysed samples, 99% contained at least one of the target compounds. Phenyl benzimidazole sulfonic acid (PBSA) was the most prevalent (99%), followed by benzophenone 4 (BP4) (97%), benzophenone 3 (BP3) (87%), benzophenone 1 (BP1) (84%), 4-methylbenzylidene camphor (4-MBC) (22%) and isoamyl 4-methoxycinnamate (IMC) (1.5%). The highest concentrations were 3780 and 5070 ng L−1 for PBSA and BP4, respectively. Total per capita UV filter loads in influent across all plants were calculated using population data from the Australian Census and ranged from 0.21 to 3.4 mg day−1 person−1. Notably, a relationship was found between latitude and total per capita daily mass load of UV filters with an increase in mass load from southern to northern catchments. Compared to international studies, mass loads were generally similar with higher loads of BP4 found in Australia. This study provides insight into the occurrence of UV filters in influent wastewater from across Australia and provides the first comprehensive nationwide baseline of UV filter loads.

Temporal trends of per- and polyfluoroalkyl substances (PFAS) in the influent of two of the largest wastewater treatment plants in Australia

Abstract Per- and polyfluoroalkyl substances (PFAS) are found ubiquitously in wastewater treatment plants (WWTPs) due to their multiple sources in industry and consumer products. In Australia, limited spatial data are available on PFAS levels in WWTPs influent, while no temporal data have been reported. The aim of this study was to investigate the occurrence and temporal trend of PFAS in the influent of two large WWTPs in Australia (WWTP A and B) over a four-year period. Daily influent samples were collected over one week at different seasons from 2014 to 2017. Eleven perfluoroalkyl acids (PFAA) (i.e. seven perfluoroalkyl carboxylic acids (PFCAs) and four perfluoroalkyl sulfonic acids (PFSA)) were detected with mean Σ11PFAA concentrations of 57 ± 3.3–94 ± 17 ng/L at WWTP A, and 31 ± 6.1–142 ± 73 ng/L at WWTP B. The highest mean concentrations were observed for perfluorohexanoate (PFHxA) (20 ± 2 ng/L) in WWTP A, and perfluorooctane sulfonate (PFOS) (17 ± 13 ng/L) in WWTP B. The precursor 6:2 fluorotelomer sulfonate was detected over five sampling periods from Aug 2016 to Oct 2017, with mean concentrations of 37 ± 18–138 ± 51 ng/L for WWTP A and 8.8 ± 4.5–29 ± 5.1 ng/L for WWTP B. Higher concentration of 6:2 FTS (1.8–11 folds) than those of PFOA and PFOS in WWTP A indicate a likely substitution of C8 PFAA by fluorotelomer-based PFAS in this catchment. Temporal trends (annual and seasonal) in per-capita mass load were observed for some PFAA, increasing for PFPeA, PFHxA, PFHpA, PFNA, and PFHxS, while decreasing for PFBS and PFOS in either WWTPs. Notably, elevated levels of PFOS in October 2017 were observed at both WWTPs with the highest per capita mass load of up to 67 μg/day/inhabitant. For some PFAS release trends, longer sampling periods would be required to achieve acceptable statistical power.

Profiling the diversity of Cryptosporidium species and genotypes in wastewater treatment plants in Australia using next generation sequencing

Wastewater recycling is an increasingly popular option in worldwide to reduce pressure on water supplies due to population growth and climate change. Cryptosporidium spp. are among the most common parasites found in wastewater and understanding the prevalence of human-infectious species is essential for accurate quantitative microbial risk assessment (QMRA) and cost-effective management of wastewater. The present study conducted next generation sequencing (NGS) to determine the prevalence and diversity of Cryptosporidium species in 730 raw influent samples from 25 Australian wastewater treatment plants (WWTPs) across three states: New South Wales (NSW), Queensland (QLD) and Western Australia (WA), between 2014 and 2015. All samples were screened for the presence of Cryptosporidium at the 18S rRNA (18S) locus using quantitative PCR (qPCR), oocyst numbers were determined directly from the qPCR data using DNA standards calibrated by droplet digital PCR, and positives were characterized using NGS of 18S amplicons. Positives were also screened using C. parvum and C. hominis specific qPCRs. The overall Cryptosporidium prevalence was 11.4% (83/730): 14.3% (3/21) in NSW; 10.8% (51/470) in QLD; and 12.1% (29/239) in WA. A total of 17 Cryptosporidium species and six genotypes were detected by NGS. In NSW, C. hominis and Cryptosporidium rat genotype III were the most prevalent species (9.5% each). In QLD, C. galli, C. muris and C. parvum were the three most prevalent species (7.7%, 5.7%, and 4.5%, respectively), while in WA, C. meleagridis was the most prevalent species (6.3%). The oocyst load/Litre ranged from 70 to 18,055 oocysts/L (overall mean of 3426 oocysts/L: 4746 oocysts/L in NSW; 3578 oocysts/L in QLD; and 3292 oocysts/L in WA). NGS-based profiling demonstrated that Cryptosporidium is prevalent in the raw influent across Australia and revealed a large diversity of Cryptosporidium species and genotypes, which indicates the potential contribution of livestock, wildlife and birds to wastewater contamination.

Crystal structure of a β-aminopeptidase from an Australian Burkholderia sp.

β-Aminopeptidases are a unique group of enzymes that have the unusual capability to hydrolyze N-terminal β-amino acids from synthetic β-peptides. β-Peptides can form secondary structures mimicking α-peptide-like structures that are resistant to degradation by most known proteases and peptidases. These characteristics of β-peptides give them great potential as peptidomimetics. Here, the X-ray crystal structure of BcA5-BapA, a β-aminopeptidase from a Gram-negative Burkholderia sp. that was isolated from activated sludge from a wastewater-treatment plant in Australia, is reported. The crystal structure of BcA5-BapA was determined to a resolution of 2.0 Å and showed a tetrameric assembly typical of the β-aminopeptidases. Each monomer consists of an α-subunit (residues 1-238) and a β-subunit (residues 239-367). Comparison of the structure of BcA5-BapA with those of other known β-aminopeptidases shows a highly conserved structure and suggests a similar proteolytic mechanism of action.

Cocaine, MDMA and methamphetamine residues in wastewater: Consumption trends (2009–2015) in South East Queensland, Australia

Wastewater analysis, or wastewater-based epidemiology, has become a common tool to monitor trends of illicit drug consumption around the world. In this study, we examined trends in cocaine, 3,4-methylenedioxymethamphetamine (MDMA) and methamphetamine consumption by measuring their residues in wastewater from two wastewater treatment plants in Australia (specifically, an urban and a rural catchment, both in South East Queensland) between 2009 and 2015. With direct injection of the samples, target analytes were identified and quantified using liquid chromatography-mass spectrometry. Cocaine and MDMA residues and metabolites were mainly quantifiable in the urban catchment while methamphetamine residues were consistently detected in both urban and rural catchments. There was no consistent trend in the population normalised mass loads observed for cocaine and MDMA at the urban site between 2009 and 2015. In contrast, there was a five-fold increase in methamphetamine consumption over this period in this catchment. For methamphetamine consumption, the rural area showed a very similar trend as the urban catchment starting at a lower baseline. The observed increase in per capita loads of methamphetamine via wastewater analysis over the past six years in South East Queensland provides objective evidence for increased methamphetamine consumption in the Australian population while the use of other illicit stimulants remained relatively stable.

Advection and the self-heating of organic porous media

Self-heating is commonly observed when organic materials such as biosolids, coal, food grains and compost are stockpiled. A convection–diffusion model is presented that accounts for the roles of advection and the transport of oxygen in the self-heating process, as well as the development of an empirical correlation between dimensionless Darcy number, Frank–Kamenetskii parameter and pile aspect ratio, to predict the critical permeability above which thermal runaway can be avoided. It is apparent that the permeability of the stockpile determines the likelihood of the thermal runaway. However, the solids that form a stockpile are poly-disperse and it is essential to determine an effective permeability. This has been achieved using experimental data on biosolids obtained from a wastewater treatment plant in Australia. With this method the model is used to demonstrate how the permeability of a stockpile might be adjusted to reduce the incidence of thermal runaway.