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:
- under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). This means
- candidates for the 4th WL but for which a reliable PNEC or analytical method are missing (Table 7); and priority
- priority 1 category as the most suitable candidates for inclusion in the next WL, while seeking further
- information was received which helped to make them suitable candidates (see Table 6). Likewise, PNEC value
- Table S1. List of the most suitable WL candidate substances, fulfilling the selection criteria, modified following comments
- meeting on 17th May 2022). In bold, the seven substances finally identified for inclusion in the 4th Watch List. The table
- Azoxystrobin 131860-33-8 Fungicide used as 0.2 µg/l(1) Water
- Diflufenican 83164-33-4 Herbicide used as 0.01 µg/l(1) Water
- Fipronil 120068-37-3 Insecticide 0.00077 µg/l(1) Water
- Metformin and its 657-24-9 and Pharmaceutical 156 µg/l(1) Water
- Sunscreen agents 70356-09-1 UV filters 3 µg/l(4) Water
- Cefalexin 15686-71-2 Human medicine 0.08 µg/l(6) Water
- Free cyanide 57-12-5 (CN-); 74- Industrial and 0.26 µg/l(7) Water
- ciprofloxacin were identified as suitable candidates, and then included (EU 2018/840). Only these three
- 1, while the criteria for selecting suitable candidates amongst the possible substances for inclusion in the WL
- samples in Sc2 and Sc3 are commonly set equal to half of the LOQ as stipulated in Directive 2009/90/EC. Other
- in the JRC prioritisation dataset (2014) or with the LOQ as suggested in the WISE dataset of the EEA (i.e. the
- Hazard information was collected from various sources (Table 1) for all the potential candidates.
- Table 1. Sources for EQS/PNEC values and hazard information.
- A literature review of available analytical methods was carried out for all the candidate substances (Table 2).
- Table 2. Sources for analytical methods.
- Tables 3, 4 and 5 summarise potential candidates identified by the JRC for the next WL. The substances were
- (Gomez Cortes et al. 2020) as good candidates but not shortlisted for inclusion in the 3 rd WL. Table 4 presents
- of the previous review (Gomez Cortes et al. 2020). Finally, Table 5 presents substances of emerging concern
- Table 3. Potential candidates for the WL identified during the previous WL review but not selected for the 3rd WL (Gomez Cortes et al. 2020). The table shows for each candidate substance
- and herbicides, pigments, pharmaceuticals Officially recognised in the EU as 0.22 (NL legal standard AA- EQS, (RPHPLC) (LOD
- herbicide propanil and an azo dye for lasting effects (ECHA) 0.2 (water) and 0.039 mg/kg ww (Börnick et al., 2001)
- Potentially persistent, low potential for 10 µg/kg sediment dw (sediment
- Levonorgestrel 797- Human medicine PT, ED 0.00001 (Janusinfo SE, Fass, SE, HPLC-MS/MS (LOQ
- genital system (Janusinfo, SE) 0.000016 μg/L (FASS text of 0.00033)
- tonnes per year Fish (chronic, SSD HC5) = 1.11µg/L
- Cu2O substance is approved for use as a = 16.17mg/kg (RAChigher
- Table 4. Substances suggested by individual MS and during internal consultation for the 3 rd WL report (Gomez Cortes et al. 2020) as good candidates for future revisions of the WL. The table
- (Pyrethroids) Pesticides database) R 0.001 µg/L (JRC derivation (Loos GC-APCI-MS/MS 12.5 pg/L
- 6.3 µg/kg ww (AT, 2013 monitoring in small
- Lambda- 91465-08-6 PPP and Biocide Insecticide Approved 2 PBT criteria (BT not P) (EU PNECfw Water (LOD):
- cyhalothrin Pesticides database) 0.00019 µg/L (DK and INERIS) GS-MS/MS 0.0005 μg/l
- Authorised as PPP in: AT, BE, BG, CY, CZ, 0.00002 µg/L (NL QS) Sediment (LOD)
- (Pyrethroids) long lasting effects (ECHA) 0.000041 µg/L (Cyfluthrin GC-MS/MS 0.001 µg/L
- Esbiothrin or 260359-57-7 Insecticides T potentially P (Allethrin) Esbiothrin: Water (LOD):
- Allethrin 584-79-2 Not approved as PPP (Allethrin) PT, R (Esbiothrin) PNECfw GC-MS/MS 0.001 µg/L
- (Pyrethroid) Not approved as Biocide (Esbiothrin) Very toxic to aquatic life, is very 0.41 µg/L (Norman network, (USGS, 2009)
Methods (brief)
- to ensure that enough high-quality monitoring data are collected for their risk assessment. Therefore, seven
- WL to ensure that enough high-quality monitoring data are collected for their risk assessment. Therefore, seven
- monitoring data are collected for their risk assessment.
- collected or derived considering toxicity effects to aquatic freshwater organisms (PNECfw,eco). For highly
- found or was often very limited. Furthermore, not only data availability but also the quality of the collected
- of non-detected or non-quantified samples, called censored concentrations (Gardner 2011; Helsel 2012; Shoari
- Thus, the usage of non-quantified samples in exposure datasets is a challenge when not all the limits of
- quantification (LOQs) of applied analytical methods are adequate in relation to the PNEC. In this report, the
- and non-quantified samples). Instead, the Scenario 3 (Sc3) is a dataset containing quantified monitoring data
- plus non-quantified data for which ½ LOQ ≤ PNEC. The Sc3 is a more relevant data scenario for making a risk
- samples in Sc2 and Sc3 are commonly set equal to half of the LOQ as stipulated in Directive 2009/90/EC. Other
- substitutions are also possible (for example at LOQ). If the level of censoring is high, then comprehensive
- estimated assuming substitution of non-quantified data (censored data) either with half of the LOQs as applied
- in the JRC prioritisation dataset (2014) or with the LOQ as suggested in the WISE dataset of the EEA (i.e. the
- Hazard information was collected from various sources (Table 1) for all the potential candidates.
- First, EQS were collected from reports or online databases, or from literature, in particular if the methodology
- Second, PNEC values were collected, with a particular focus on the substances where no EQS value was
- Third, PNECs were collected from the European Chemicals Agency (ECHA) dossiers (http://echa.europa.eu/) and
Implications
This page makes the source discoverable for category-level evidence routing. Values remain source-native and should be used only with the stated matrix, species, basis, geography, and censoring context from the paper. The page does not convert total mercury to methylmercury or use total arsenic as inorganic arsenic.
Wiki pages this source may touch
- Fish — marine, non-predatory (sardines, anchovies, salmon, cod)
- Shellfish (shrimp, crab, lobster, clams, oysters, mussels)
- Baby Sunscreen, Mineral (ZnO + TiO2)
- Tin
Verification notes
- Identity check: DOI, raw handle, candidate cite-key, and SHA-256 were compared against existing
wiki/sources/pages before creation. - Full-PDF read:
pdftotext -layoutwas run on the full PDF twice; extracted text hashes matched before the page was written. - Numeric verification: numeric/table-bearing lines were selected mechanically from the verified extraction and preserved without unit conversion or rounding.
- Brand firewall: the worker skips PDFs when extracted numeric lines appear brand/manufacturer-sensitive; this page contains category-level or species-level evidence only.
- HMTc firewall: no threshold, percentile, pass/fail, clean/dirty, or certification math is stated.
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.