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Heavy Metal Index

1-H benzotriazole). An assessment of the toxicity of the identified organic chemicals indicated that none appeared to pose

Source

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Page snapshot
Cited by5 pages
Metals measured2
Evidence tierB
Year2023

Overview

This source page is a mechanical bulk-ingest record for a PDF in the research-pulls corpus. It preserves source-level identity, routeable product/analyte scope, and exact extracted numeric lines for later human or fresh-context audit. It does not derive HMTc thresholds, percentiles, or brand-by-brand comparisons.

Key numbers

The worker extracted the full PDF text with layout preservation twice and compared extraction hashes before commit. The following lines are copied from numeric/table-bearing regions of the PDF and retain the source units and wording where legible:

  • receiving waters. Fent et al. (2006) indicated that a better information Table S1).
  • organic contaminants (Table 1) together with ammonia and with an autosampler setup at each sewer carrier that transited
  • Table 1 Suppliers of standard Chemical Supplier and compound number Limit of
  • comprising one collection each from the sewers of Buffalo numbers of internal standards are detailed in Table 1. These
  • trations were also measured from triplicate samples collected nal standards in the range of 80–114% (Table 1). Peaks were
  • waters of the four locations as single or replicate samples (as information described in Supporting information Tables S2
  • transferred into 1250 mL PET bottles with unique labora- The detection of a range of pharmaceuticals and personal-
  • refrigerated autosampler carousel bottles. Those sample con- Table 1) used in-house method TC0065. This was based
  • Supporting information Tables S4 and S5, respectively.
  • preparation, the samples were analysed by inductively cou- Table 2. This suite of compounds was analysed for in
  • able stock solutions. Quality control samples were run with occurring from the ERSs (Table 2). Not surprisingly, the
  • detailed in Table 1. Metal analysis quantification limits were the dry-weather samples, where all 18 organic chemi-
  • based on APHA method 4500-NH3 H. Samples were kept detectable (Table 2). A very similar pattern of chemical
  • analysis then analysed by flow injection analysis (FIA) (Table 2). In the receiving waters, the number of detect-
  • in Table 1. Ammonia quantification limits were defined as particular, acetaminophen (paracetamol) as a very com-
  • spike recoveries averaged 99%. tralia (ASM 2020) without consideration of over-the-
  • zoa, and viruses in the faeces of a diverse range of animal products (Zhao et al. 2017), along with their incorpora-
  • cate MST assay of Ahmed et al. (2019) was used to analyse the inevitable dilutions that they will be subjected to. For
  • Table 2 Summary of organic chemicals detected in sewer influent with wet weather sample collection coinciding with overflow spills
  • Influent sampled under dry weather conditions Minimum Median 75th percentile 90th percentile Maximum
  • Sewer influent sampled under diluted rainfall ingress conditions Minimum Median 75th percentile 90th percentile Maximum N
  • Receiving water sampled downstream of ERSs during wet weather Minimum Median 75th percentile 90th percentile Maximum N
  • Detection limits of 0.25 μg/L for three benzotriazoles, and 1 μg/L for the other contaminants applied in calculation of these distributions;
  • rises information presented in Table 3 for each sewer site. ume for the Gymea study location (Supporting information
  • For each of the four sewer locations, the concentrations of Table S1) was nearest to Gymea Site 2. All ERSs under
  • contaminants differed substantially (Table 3). For example, 10 m into the same waterway reach (Fig. 1, Supporting infor-
  • were considerably lower than at the other three (Table 3). On porting information Table S1) that conveyed spills from the
  • were relatively similar at all four sites (Table 3). Sucralose the creek the other two ERSs were gravity fed and spilt from
  • lar across sites (Table 3). Cotinine, FB351, naproxen, and allowed one of these two ERSs to also spill influent from
  • As described above for Table 2, of the 12 contaminants (as evident in Supporting Fig. S1) compared to the other
  • ing waters (as summarised in Table 2) when sampling coin- at disparate distances along the sewerage system (Fig. 1).
  • tion Table S6) compared to the relatively uniform pattern be considered in the contribution to dilution achievable in
  • collected under diluted rainfall ingress conditions (Table 3). weather events. Wet-weather overflow median spill volumes
  • Analysis of receiving water samples from the Darling from October 2018 to October 2022 were 0.04 ML (range
  • zotriazole as shown for Gymea Bay Site 1 in Supporting falo sewer, 4.8 ML (range 0.03 to 146 ML over 31 spills)
  • able concentrations in samples from the Vineyard receiving Supporting information Table S7 shows the percentage of
  • water site (Supporting information Table S6). The other collection events (occasions) where the eight organic chemi-
  • receiving water samples (Supporting information Table S6). for any of the eight organic chemicals at Gymea Site 2 or at
  • (Supporting information Table S6). receiving water site, acetaminophen was measurable in two
  • (Supporting information Table S1), while safe access con- all eight organic chemicals were detected at the Vineyard
  • Table 3 Percentile distribution of contaminant concentrations (μg/L) of influent collected within sewer carrier when a spill was occurring from ERSs between October 2018 and February 2020
  • Detection limits values of 0.25 μg/L for three forms of benzotriazole and 1 μg/L for other nine contaminants applied in distribution calculation; Vineyard 38 samples were collected with stand-

Methods (brief)

  • sanitary (separate to stormwater) sewerage systems. Water samples were collected by autosamplers from up to eight wet
  • Keywords Organic chemicals · Influent · Sanitary sewage · Autosamplers · Ammonia · Dilution
  • samplers to identify some 254 organic chemicals present overflow volumes were obtained from a hydraulic sewer sys-
  • ily translate passive sampler detection to receiving water current study was also employed for the study of the com-
  • investigation of chemicals collected by autosamplers trig- overflows in the megacity of Sydney, Australia (Besley and
  • tary sewerage system was the main driver of sanitary sewer Field sample collection
  • from the sewerage system. To the best of our knowledge, Water samples were collected with ISCO Avalanche port-
  • no other studies have assessed the ecological risk of con- able refrigerated (4 °C) autosamplers at the four locations
  • tracking a suite of contaminants detected in influent and in autosamplers were set up at receiving water sites, compris-
  • organic contaminants (Table 1) together with ammonia and with an autosampler setup at each sewer carrier that transited
  • objectives: (i) to examine the types of contaminants detected samples, the autosamplers were triggered by spider-logger
  • Total iron ICPMS standards 5.0
  • Filterable aluminium ICPMS standards 5.0
  • Filterable iron ICPMS standards 5.0
  • Filterable copper ICPMS standards 0.5
  • Filterable manganese ICPMS standards 0.5
  • Filterable lead ICPMS standards 0.1
  • Filterable zinc ICPMS standards 1.0

Implications

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Verification notes

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Update history

The five most recent substantive edits to this page, classified major (evidence or structure moved), correction (a published value or statement was wrong and has been fixed), or minor (narrative rewritten without changing the underlying evidence). Each description is derived from what the edit did to this page; the linked commit is the authoritative record, routine regeneration passes are excluded, and the full version history lives in git. When DOI minting comes online (see schema docs), each entry below will also link to a version-pinned DataCite DOI.

CommitDateChangeDescription
b01ec52c2026-08-04major2 sections added
d49e450f2026-08-03major5 sections added; narrative text revised