| Literature DB >> 19479007 |
Pedro A Segura1, Matthieu François, Christian Gagnon, Sébastien Sauvé.
Abstract
OBJECTIVE: Anti-infectives are constantly discharged at trace levels in natural waters near urban centers and agricultural areas. They represent a cause for concern because of their potential contribution to the spread of anti-infective resistance in bacteria and other effects on aquatic biota. We compiled data on the occurrence of anti-infectives published in the last 24 years in environmental water matrices. The collected information was then compared with the available ecotoxicologic values to evaluate potential environmental concerns. DATA SOURCES: We used Web of Science and Google Scholar to search for articles published in peer-reviewed journals written in the English language since 1984. DATA EXTRACTION: Information on compound concentrations in wastewaters and natural and drinking waters, the source of contamination, country of provenance of the samples, year of publication, limits of quantification, and method of analysis was extracted. DATA SYNTHESIS: From the 126 different substances analyzed in environmental waters, 68 different parent compounds and 10 degradation products or metabolites have been quantified to date. Environmental concentrations vary from about 10(-1) to 10(9) ng/L, depending on the compound, the matrix, and the source of contamination.Entities:
Keywords: antibacterials; antibiotics; antimicrobials; aquatic environment; drinking water; groundwater; resistance; surface water; wastewater
Mesh:
Substances:
Year: 2009 PMID: 19479007 PMCID: PMC2685827 DOI: 10.1289/ehp.11776
Source DB: PubMed Journal: Environ Health Perspect ISSN: 0091-6765 Impact factor: 9.031
Occurrence in nanograms per liter of anti-infectives in contaminated wastewaters and natural and drinking waters organized by class and matrix.
| Anti-infective class | No. > LOQ | No. papers | Mean | Median | 75% | 95% | Max | LOQlow | LOQhigh |
|---|---|---|---|---|---|---|---|---|---|
| Wastewaters | |||||||||
| As parent compounds | |||||||||
| Azoles | 17 | 6 | 5,987 | 26 | 50 | 61,920 | 90,200 | 5 | 112 |
| β-Lactams | 42 | 15 | 4,633 | 300 | 1,200 | 5,360 | 153,000 | 1 | 100,000 |
| Quinolaxine-dioxide | 0 | 5 | 5 | 100 | |||||
| Lincosamides | 33 | 10 | 18,715 | 60 | 2,125 | 190,500 | 240,000 | 0.3 | 100 |
| Macrolides | 217 | 43 | 352 | 110 | 271 | 1,000 | 27,000 | 0.2 | 1,155 |
| Poliether ionophores | 13 | 2 | 29 | 11 | 26 | 167 | 190 | 1 | 3 |
| Quinolones | 420 | 51 | 152,247 | 205 | 570 | 41,922 | 31,000,000 | 1 | 20,600 |
| Sulfonamides | 289 | 57 | 11,972 | 330 | 800 | 31,000 | 1,158,680 | 1 | 300,000 |
| Tetracyclines | 161 | 32 | 11,642,200 | 530 | 7,250 | 6,095,000 | 920,000,000 | 1 | 700,000 |
| Trimethoprim | 210 | 52 | 1,351 | 270 | 795 | 5,000 | 55,200 | 1 | 150,000 |
| Other | 17 | 11 | 750 | 39 | 1,115 | 4,101 | 5,000 | 3 | 667 |
| As metabolites/degradation products | |||||||||
| β-Lactams | 10 | 1 | 55,794,600 | 7,630,000 | 44,500,000 | 389,000,000 | 389,000,000 | 410 | 1,360 |
| Macrolides | 52 | 16 | 2,848 | 450 | 1,414 | 5,650 | 83,000 | 1 | 500 |
| Sulfonamides | 13 | 5 | 779 | 570 | 1,200 | 2,230 | 2,235 | 20 | 212 |
| Tetracyclines | 6 | 1 | 5,092,167 | 1,445,000 | 9,420,000 | 18,100,000 | 18,100,000 | 600 | 1,300 |
| Natural waters | |||||||||
| As parent compounds | |||||||||
| Azoles | 39 | 11 | 18 | 18 | 23 | 44 | 58 | 1 | 370 |
| β-Lactams | 6 | 16 | 73 | 11 | 48 | 350 | 350 | 2 | 24,000 |
| Quinolaxine-dioxide | 0 | 9 | 35 | 1,400 | |||||
| Lincosamides | 46 | 21 | 147 | 18 | 100 | 1,020 | 1,400 | 0.04 | 198 |
| Macrolides | 128 | 38 | 58 | 11 | 46 | 197 | 1,022 | 0.02 | 1,155 |
| Poliether ionophores | 4 | 4 | 312 | 35 | 606 | 1,172 | 1,172 | 0.1 | 380 |
| Quinolones | 78 | 31 | 199 | 27 | 108 | 640 | 5,600 | 0.3 | 7,000 |
| Sulfonamides | 234 | 60 | 66,531 | 120 | 700 | 472,000 | 1,600,000 | 0.2 | 33,000 |
| Tetracyclines | 47 | 33 | 97,369 | 192 | 658 | 623,550 | 712,000 | 0.07 | 1,650 |
| Trimethoprim | 90 | 24 | 94 | 18 | 42 | 510 | 3,000 | 0.2 | 4,000 |
| Other | 5 | 21 | 136 | 127 | 207 | 266 | 266 | 2 | 2,000 |
| As metabolites/degradation products | |||||||||
| β-Lactams | 4 | 1 | 4,719,500 | 4,037,500 | 8,840,000 | 10,540,000 | 10,540,000 | 410 | 1,360 |
| Macrolides | 51 | 24 | 184 | 40 | 146 | 1,186 | 1,700 | 0.3 | 250 |
| Sulfonamides | 6 | 6 | 86 | 14 | 239 | 240 | 240 | 2 | 50 |
| Tetracyclines | 27 | 25 | 12,367 | 11,100 | 14,750 | 32,840 | 34,200 | 10 | 1,300 |
| Drinking waters | |||||||||
| As parent compounds | |||||||||
| Azoles | 0 | 1 | 370 | 370 | |||||
| β-Lactams | 0 | 0 | NA | NA | |||||
| Quinolaxine-dioxide | 0 | 1 | 100 | 100 | |||||
| Lincosamides | 0 | 2 | 0.07 | 5 | |||||
| Macrolides | 4 | 2 | 3 | 3 | 5 | 5 | 5 | 0.07 | 220 |
| Poliether ionophores | 0 | 0 | NA | NA | |||||
| Quinolones | 5 | 2 | 2 | 2 | 3 | 4 | 4 | 0.3 | 10 |
| Sulfonamides | 2 | 5 | 0.4 | 0.4 | 0.5 | 0.5 | 0.5 | 0.2 | 1,155 |
| Tetracyclines | 0 | 1 | 3 | 12 | |||||
| Trimethoprim | 0 | 4 | 0.5 | 250 | |||||
| Other | 0 | 1 | 5 | 5 | |||||
| As metabolites/degradation products | |||||||||
| β-Lactams | 0 | 0 | NA | NA | |||||
| Macrolides | 0 | 1 | 10 | 10 | |||||
| Sulfonamides | 0 | 0 | NA | NA | |||||
| Tetracyclines | 0 | 0 | NA | NA | |||||
NA, not available.
Number of values reported as being > LOQ for each class.
Number of papers reporting analysis in each matrix for each class.
Lowest LOQ reported.
Highest LOQ reported.
Dihydro-folate reductase inhibitor.
Figure 1Density histogram (bars) and density function (line) of sulfamethoxazole occurence in natural waters (A) and wastewaters (B) compared with density histogram and density function of LOEC (left) and EC50 (right) values for several aquatic species exposed to sulfamethoxazole.
Figure 2Density histogram (bars) and density function (line) of ofloxacin occurrence in natural waters (A) and wastewaters (B) compared with density histogram and density function of LOEC (left) and EC50 (right) values for several aqualtic species exposed to ofloxacin.