Literature DB >> 29876426

Data on occurrence and fate of emerging contaminants in a urbanised area.

Sara Castiglioni1, Enrico Davoli1, Francesco Riva1, Marinella Palmiotto1, Paolo Camporini1, Angela Manenti2, Ettore Zuccato1.   

Abstract

These data and analyses support the research article "Mass balance of emerging contaminants in the water cycle of an highly urbanized and industrialized area of Italy" by Castiglioni et al. (2018) [1]. The occurrence of 80 emerging contaminats in waste and surface water was investigated in an highly urbanised area of Italy, the River Lambro basin. The data presented here include: (1) concentrations in untreated and treated wastewater of different wastewater treatment plants (WWTPs); (2) concentrations in surface water collected along the river Lambro, in the north and south of the city of Milan (main urban center in the area). These concentrations indicate the distribution and fate of emerging contaminats in the environment.

Entities:  

Year:  2018        PMID: 29876426      PMCID: PMC5988287          DOI: 10.1016/j.dib.2018.01.029

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the Data These data offer a comprehensive overview of the occurrence of a wide panel of emerging contaminats in waste and surface water in a urban area and can be compared with other studies. These data may help to understand the distribution and fate of the emerging contaminats in the environment. These data may contribute to the need of monitoring data to support future prioritisation exercises and guidelines development by national and international authorities. The occurrence and distribution of contaminats may help to identify the sources of contamination in a urban area.

Data

The presented data were obtained during a comprehensive monitoring study in the most urbanised and industrialized area of Italy. The occurrence of about 80 emerging contaminants was investigated in wastewater (WW) and surface water in the river Lambro basin. The fate of these contaminants during wastewater treatment was assessed by analysing influents and effluents in three wastewater treatment plants (WWTPs) which collect wastes from the entire city of Milan. Data presented include: (1) concentrations of emerging contaminats in influent wastewater collected before any treatment (Table 1, Table 2, Table 3; (2) concentrations in effluent wastewater collected immediately before the discharge in surface water (Table 4, Table 5, Table 6; (3) concentrations in rivers Olona, Seveso and Lambro collected before Milan (O1,S1,L1) and in the Lambro River after discharges from the city of Milan (L2,3,4) and at the closure of the basin (L5) (Table 7, Table 8, Table 9). Refer to [1] for detailed interpretation and discussion.
Table 1

Means, medians and ranges of pharmaceuticals (PHARM) measured in influent wastewater.

Influent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Antibiotics
Amoxicillin2.01.0LOQ-6<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Ciprofloxacin655.6632.7220–1120666.7656.5492–876531.9693.2114–905
Clarithromycin1012.0909.1715–1510976.1976.8404–1617892.9960.8698–1075
Dehydro-erythromycin307.8297.6170–517303.8313.943–636196.4215.5136–219
Erythromycin<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Lincomycin29.529.714–4028.128.317–4013.914.310.4–17.3
Ofloxacin487.8469.3144–830682.3631.9580–908467.1624.385–738
Oxytetracycline<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Spiramycin<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Sulfamethoxazole170.093.932–105710.55.911–36.8<LOQ<LOQ<LOQ
Vancomicin64.958.3LOQ-127<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Anticancer
Cyclophosphamide2.92.9LOQ-5.51.81.0LOQ-4.24.93.6LOQ-10
Methotrexate3.51.40.9–28<LOQ<LOQ<LOQ3.02.3LOQ-8
Tamoxifen<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Antiinflammatory
Diclofenac798.5611.9214–2198494.5449.7333–841731.2546.5426–1794
Ibuprofen1709.71707.0975–23771643.41641.81149–2114863.9873.7660–1049
Ketoprofen1209.51262.9708–1924964.2917.6792–1242859.0792.4685–1283
Naproxen1192.51207.7706–16881407.91072.6701–5921571.1534.1517–668
Paracetamol3095.83328.31961–39602471.42349.21481–37372578.42683.31661–3099



Bronchodilator
Salbutamol6.96.85.1–9.812.410.56.6–23.68.38.47.1–10



Cardiovascular
Atenolol1519.01564.71142–17891913.71910.41368–28881614.21615.31448–1745
Enalapril62.965.541–86106.275.257–32491.192.371–114



CNS drug
Carbamazepine286.3285.1184–429309.2314.1248–3701313.7275.5221–3487
Demetyl-diazepam3.73.72.9–4.34.54.72.2–6.33.74.02.7–4.5
Diazepam1.71.61.0–2.31.41.21.0–2.76.33.73.2–22



Diuretics
Furosemide544.8474.9304–1083429.5412.8165–662548.7446.1279–934
Hydrochlorothiazide667.6740.8341–848547.5528.4116–1001377.6369.0317–523



Estrogens
17-β estradiol15.811.8LOQ-376.14.6LOQ-1515.615.112.4–19.5
Estrone41.241.625–5753.444.620–10436.335.934–41
17-α ethynilestradiol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Gastrointestinal
Omeprazole<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Ranitidine115.7106.441–234117.2114.832–217112.0109.983–165



Lipid Regulators
Atorvastatine79.165.924–15356.252.728–9855.549.018–108
Bezafibrate148.1155.570–281156.3156.191–2782181.71780.5353–6045
Clofibric acid<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Gemfibrozil263.3204.490–787215.7229.2114–295155.4154.5107–197



Erectile dysfunction drug
Sildenafil<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Table 2

Means, medians and ranges of illicit drugs (IDs) measured in influent wastewater.

Influent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Cocaine and metabolites
Benzoylecgonine638.9631.3480–880885.9867.3630–1300660.2618.6580–860
Norbenzoylecgonine22.621.916–3129.829.520–5022.119.518–32
Cocaine262.2251.4190–325346.9337.6180–615242.8246.2174–293
Norcocaine4.13.92.4–5.86.76.14.0–13.04.44.23.8–5.7
Cocaethylene6.45.53.9–10.79.29.05.0–20.04.74.74.0–7.0
Ecgonine methyl ester157.9153.0113–228255.9244.8160–405115.3123.4<LOQ-208
Ecgonine125.3122.3<LOQ-300192.9189.894–31297.9115.3<LOQ-126
Anhydroecgonine<LOQ<LOQ<LOQ2.60.4<LOQ-10<LOQ<LOQ<LOQ
Anhydroecg. methylester<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Opioids
Morphine59.157.734–8549.847.434–8068.569.749–99
6-acethylmorphine<LOQ<LOQ<LOQ-7.5<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Morphine 3β glucuronide2.50.6<LOQ-7.06.47.0<LOQ-193.92.9<LOQ-12
Morphine 6β glucuronide2.21.5<LOQ-52.01.5<LOQ-4.22.81.5<LOQ-5.1
Oxycodone8.72.3<LOQ-9131.62.3<LOQ-412<LOQ<LOQ<LOQ
Hydrocodone<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Codeine94.972.450–390105.1108.853–15376.575.766–91
6-acethylcodeine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Methadone9.59.46.0–14.017.318.014–228.49.43.0–11.0
EDDP12.810.67.0–21.022.422.415–339.210.34.0–12.0



Amphetamines and Ketamine
Amphetamine25.221.3<LOQ-45<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Methamphetamine146.5141.3112–21084.564.38–24010.79.89.0–14.0
MDA<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
MDMA13.010.2<LOQ-337.01.6<LOQ-316.21.6<LOQ-18
MDEA<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
MBDB<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Ketamine6.87.04.0–9.56.86.6<LOQ-163.03.7<LOQ-5.3



Cannabinoids
THC-COOH67.1261.0750–12064.5963.1541–9091.7374.1741–164
OH-THC<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
THC6.485.64<LOQ-15<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Table 3

Means, medians and ranges of the other classes of ECs measured in influent wastewater.

Influent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Personal Care Products (PCPs)
PBSA185.1183.060–327387.1361.7185–573309.9316.9202–458
Benzophenone-4404.8392.4154–638548.1512.4236–1000186.9185.999–275
Benzophenone-348.245.220–8253.653.533–7435.845.1<LOQ-58
4-MBC<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Disinfectants (DIS)
Triclosan11951144505–2210976.1840.9645–170514051609706–1930
Triclocarban<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Perfluorinated compounds (PERF)
PFOS3.42.61.6–9.13.43.33.0–4.519.916.416–36
PFOA7.87.66.6–1011.210.26.6–249.48.88.5–11



Alkylphenols and Bisphenol A (Alk-BPA)
Bisphenol A443.0450.9400–470326.9354.7170–38510591162756–1312
4-teroctylphenol176.9171.7161–202137.998.077–239160.1188.7<LOQ-410
Nonylphenol149213601304–1790200617361187–3531<LOQ<LOQ<LOQ
4-octylphenol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Anthropogenic Biomarkers (AM)
Caffeine923378574775000–113000491784996543000–55000317953419222400–36000
1-methylxanthine134612351100–1700374837903200–4400944596634800–16400
Paraxanthine283952967824000–32000245652389621400–3100011939118369450–14200
Nicotine215682125317000–26000924587694300–13400685554371500–11700
Cotinine152215071450–1650181818381600–2000941927800–1100
Table 4

Means, medians and ranges of pharmaceuticals (PHARM) measured in effluent wastewater.

Effluent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Antibiotics
Amoxicillin<LOQ<LOQ<LOQ2.51.0LOQ-1745.542.035–62
Ciprofloxacin141.0137.547–246172.4176.5112–248293.7285.4205–389
Clarithromycin281.6254.4101–516312.7317.8216–395802.6830.9740–847
Dehydro-erythromycin176.3162.544–345148.5157.885–221280.1282.5231–327
Erythromycin<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Lincomycin10.29.25.9–15.817.616.113–2420.921.917–26
Ofloxacin215.1203.283–380275.4267.3190–360390.2393.2254–542
Oxytetracycline<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Spiramycin<LOQ<LOQ<LOQ73.464.0LOQ-178<LOQ<LOQ<LOQ
Sulfamethoxazole78.867.217–38270.758.7LOQ-173<LOQ<LOQ<LOQ
Vancomicin37.031.5LOQ-947.31.0LOQ-24<LOQ<LOQ<LOQ



Anticancer
Cyclophosphamide4.13.92.1–7.42.93.4LOQ-52.53.6LOQ-3.7
Methotrexate<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Tamoxifen<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Antiinflammatory
Diclofenac368.5294.3147–812507.4488.3392–694532.4495.2420–788
Ibuprofen0.90.7LOQ-2.88.10.7LOQ-43170.4163.499–265
Ketoprofen92.469.125–220257.9133.313–735169.7133.061–316
Naproxen31.028.614–5890.851.92–608505.4505.2408–598
Paracetamol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ22.619.817–36



Bronchodilator
Salbutamol5.45.22.8–1110.29.57–19.16.96.75.1–9.0



Cardiovascular
Atenolol183.9188.2128–232309.0250.277–6581083.61035.4895–1362
Enalapril<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ12.011.17.4–18.4



CNS drug
Carbamazepine207.4180.3123–353302.1288.8249–406226.2219.5194–269
Demetyl-diazepam3.93.91.8–7.36.05.84.3–8.14.03.63.2–6.2
Diazepam1.41.40.8–2.22.01.81.3–3.35.54.42.1–16.1



Diuretics
Furosemide186.4171.5118–295980.7911.9204–1852494.8500.2443–563
Hydrochlorothiazide442.5302.211.9–2270469.2399.77–1074136.6127.317–276



Estrogens
17-β estradiol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Estrone<LOQ<LOQ<LOQ2.82.2LOQ-2.88.58.76.3–10.1
17-α ethynilestradiol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Gastrointestinal
Omeprazole<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Ranitidine8.07.1LOQ-1578.279.147–124148.4154.487–174



Lipid Regulators
Atorvastatine1.91.3LOQ-420.219.78.3–43.210.410.07.0–13.7
Bezafibrate9.79.64.4–16.789.055.610.8–2561271.61365.3138–2700
Clofibric acid<LOQ<LOQ<LOQ0.40.2LOQ-0.7<LOQ<LOQ<LOQ
Gemfibrozil4.73.32.4–920.79.41.2–6043.041.831–64



Erectile dysfunction drug
Sildenafil<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Table 5

Means, medians and ranges of illicit drugs (IDs) measured in effluent wastewater.

Effluent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Cocaine and metabolites
Benzoylecgonine11.310.47.0–22.05.80.9<LOQ-40126.8116.7100–170
Norbenzoylecgonine4.13.73.0–7.08.46.53.0–25.08.27.66.0–11.0
Cocaine0.90.80.5–1.30.50.3<LOQ-226.824.322.0–36.0
Norcocaine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ0.90.80.6–1.3
Cocaethylene<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ0.60.50.4–1.0
Ecgonine methyl ester<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ22.919.818.0–34.0
Ecgonine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ31.920.4<LOQ-48
Anhydroecgonine7.87.23.0–13.025.024.616–3816.117.912.0–19.0
Anhydroecg. methylester<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Opioids
Morphine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ41.734.627–91
6-acethylmorphine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Morphine 3β glucuronide<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Morphine 6β glucuronide<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Oxycodone<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Hydrocodone<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Codeine15.214.913.0–20.032.128.211.0–65.079.477.271–83
6-acethylcodeine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Methadone8.88.87.0–11.014.915.510.0–21.08.48.57.0–10.0
EDDP11.310.77.0–15.021.421.211.0–31.010.710.58.0–13.0



Amphetamines and Ketamine
Amphetamine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Methamphetamine24.924.014–3727.318.31.5–794.03.63.0–6.5
MDA<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
MDMA4.01.6<LOQ-113.11.6<LOQ-123.91.6<LOQ-15
MDEA<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
MBDB<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Ketamine7.37.53.0–11.08.27.25.0–15.03.23.12.0–6.0



Cannabinoids
THC-COOH<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ5.55.1<LOQ-11
OH-THC<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
THC<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Table 6

Means, medians and ranges of the other classes of ECs measured in effluent wastewater.

Effluent WW
Concentrations (ng/L)WWTP A
WWTP B
WWTP C
MeanMedianRangeMeanMedianRangeMeanMedianRange
Personal Care Products (PCPs)
PBSA173.1173.6112–219305.0323.2186–383183.4176.4166–218
Benzophenone-4185.9179.6141–283406.9419.6231–750133.8132.9112–155
Benzophenone-3<LOQ<LOQ<LOQ2.00.4<LOQ-82.82.41.5–5.0
4-MBC<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Disinfectants (DIS)
Triclosan<LOQ<LOQ<LOQ150.7173.2<LOQ-244329.7312.0287–390
Triclocarban<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Perfluorinated compounds (PERF)
PFOS1.91.91.4–3.01.61.51.1–2.517.317.79.0–24.7
PFOA12.212.49.5–15.014.313.859.0–2010.110.059.8–10.5



Alkylphenols and Bisphenol A (Alk-BPA)
Bisphenol A2.51.9<LOQ-5.024.524.116–3551.047.136–70
4-teroctylphenol3.61.35<LOQ-141.71.35<LOQ-4.0<LOQ<LOQ<LOQ
Nonylphenol183.5180.9144–26473.072.110–197<LOQ<LOQ<LOQ
4-octylphenol<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ



Anthropogenic Biomarkers (AM)
Caffeine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ433362270–520
1-methylxanthine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ
Paraxanthine<LOQ<LOQ<LOQ<LOQ<LOQ<LOQ12012371–170
Nicotine229204114–3656979<LOQ-110454461288–725
Cotinine131211.0–14.0111110.0–13.0126126110–140
Table 7

Concentrations of PHARM (ng/L) in surface water samples.

PHARMNorth of Milan
South of Milan
O1S1L1L2L3L4L5
Antibiotics
Amoxicillin2.010.34.422.725.313.016.7
Ciprofloxacin22.660.131.241.255.119.46.7
Clarithromycin182326119202212177149
Dehydro-Erythromycin6194.730.273.360.658.053.2
Lincomycin3.010.25.023.26.84.913.8
Ofloxacin81.015873.411715069.430.7
Sulfamethoxazole3.21.36.31.69.513.910.1
Vancomicin1.01.06.29.59.28.019.6



Antiinflammatory
Diclofenac86.518460.0695461215121
Ibuprofen76.513453.517410762.679.5
Ketoprofen3.99.830.826.820.18.50.9
Naproxen52.492.771.112412275.762.4
Paracetamol1.09.510.426.825.724.318.8



Bronchodilator
Salbutamol1.83.61.612.82.2339205



Cardiovascular
Atenolol110400171280232184166
Enalapril1.56.52.67.15.74.43.6



CNS drug
Carbamazepine11516654.224610578.486.0
Diazepam0.40.80.32.32.712553
Demetyl-diazepam0.81.70.71.61.166.338.0



Diuretics
Furosemide33.074.370.372.277.757.227.0
Hydrochlorothiazide23.274.131.946.977.1649314



Estrogens
17-β estradiol1.34.02.33.22.52.51.3
Estrone5.012.67.820.411.77.95.4



Gastrointestinal
Ranitidine7.014.44.210.68.54.05.1



Lipid Regulators
Atorvastatine1.44.21.63.32.30.80.8
Bezafibrate12.322.29.921.314879.528.2
Clofibric acid5.41.40.241.20.20.28.4
Gemfibrozil15.027.58.523.319.09.011.5
Table 8

Concentrations of IDs (ng/L) in surface water samples.

IDsNorth of Milan
South of Milan
O1S1L1L2L3L4L5
Cocaine and metabolites
Benzoylecgonine33.574.838.582.165.439.245.4
Norbenzoylecgonine2.97.53.76.64.93.23.1
Cocaine3.921.210.133.318.912.212.0
Norcocaine0.10.70.40.70.70.40.4
Cocaethylene0.10.30.20.30.20.20.3
Ecgonine methyl ester4.96.23.720.310.78.89.9
Anhydroecgonine9.021.36.014.16.612.27.9



Opioids
Morphine0.31.62.52.06.28.21.5
Codeine15.423.09.620.615.710.710.2
Methadone2.59.71.88.03.72.62.7
EDDP4.715.94.210.27.34.23.3



Amphetamines and Ketamine
Methamphetamine0.21.10.22.70.90.80.8
MDMA0.20.21.21.51.51.30.5
Ketamine40.84.10.63.41.41.01.8



Cannabinoids
THC-COOH0.71.42.03.52.71.92.1
Table 9

Concentrations of the others ECs (ng/L) in surface water samples.

North of Milan
South of Milan
O1S1L1L2L3L4L5
Personal Care Products (PCPs)
PBSA167517105294174167124
Benzophenone-4168373109241172142112
Benzophenone-34.113.73.89.16.64.72.8



Disinfectants (DIS)
Triclosan35.414959.852.213111786.6



Perfluorinated compounds (PERF)
PFOS4.26.64.44.912.76.214.2
PFOA25.133.813.126.516.711.718.4



Alkylphenols and Bisphenol A (Alk-BPA)
Bisphenol A90.1295126154119131114
4-ter-octylphenol14.611014.118.722.414.811.1
Nonylphenol38.427733.951.933.727.824.3



Anthropogenic Biomarkers (AM)
Caffeine885433915193344290321261644
1-methylxanthine5.35.35.337.735.05.35.3
Paraxanthine105367180300329236184
Nicotine673642422593334301520331254
Cotinine50.714853.211811078.170.4
Means, medians and ranges of pharmaceuticals (PHARM) measured in influent wastewater. Means, medians and ranges of illicit drugs (IDs) measured in influent wastewater. Means, medians and ranges of the other classes of ECs measured in influent wastewater. Means, medians and ranges of pharmaceuticals (PHARM) measured in effluent wastewater. Means, medians and ranges of illicit drugs (IDs) measured in effluent wastewater. Means, medians and ranges of the other classes of ECs measured in effluent wastewater. Concentrations of PHARM (ng/L) in surface water samples. Concentrations of IDs (ng/L) in surface water samples. Concentrations of the others ECs (ng/L) in surface water samples.

Experimental design, materials, and methods

Sample extraction and analysis

Pharmaceuticals (PHARM) and illicit drugs (IDs)

PHARM and IDs were analysed updating methods already published [2], [3], [4]. Briefly, samples (50 mL of influent wastewater; 100 ml of effluent wastewater; 400 mL of surface water; 500 mL of groundwater) were acidified to pH 2.0 with 37% HCl, spiked with labeled internal standards and SPE-extracted using mixed reverse-phase cation exchange cartridges (Oasis MCX). Cartridges were conditioned before use by washing with 5 mL of methanol, 3 mL of ultrapure (MilliQ) water and 3 mL of water acidified to pH 2. Samples were passed through the cartridges at a flow rate of 5–15 mL/min depending on the volume. Cartridges were then vacuum-dried for 10 min and eluted with 2 mL of methanol and 2 mL of a 2% ammonia solution in methanol. The eluates were pooled, dried under a nitrogen stream and redissolved in ultrapure water (200 µL) for instrumental analysis. Analyses were done using an API 3000 QqQ equipped with a Turbo Ion Spray source (AB- Sciex, Thornhill, Ontario, Canada), two Series 200 pumps and Series 200 auto-sampler (Perkin-Elmer, Norwalk, CT). Chromatographic separation was done using a Luna C8 50 mm×2 mm, 3 µm particle size (Phenomenex, Torrance, CA, USA) for PHARM and an XTerra MS C18, 100×2.1 mm, 3.5 µm (Waters Corp., Milford, MA) for IDs. Analytical conditions and validation parameters are described elsewhere [2], [3], [4]. Specific extraction and analytical conditions were adopted for a group of small polar metabolites of cocaine (called ecgonines) as detailed in an earlier publication [5]. The main differences were the volumes of extraction (20, 40 and 100 mL respectively for influent, effluent and surface water); the SPE cartridges (Oasis-MCX 150 mg); and sample reconstitution (eluates were dried to 20 µL and 80 µL of acetonitrile were added). In view of the high polarity of these substances, chromatographic separation was done with an XBridge HILIC 100×2.1 mm, 3.5 µm (Waters Corp., Milford, MA). Analytical conditions and validation parameters are described elsewhere [5].

Personal care products, disinfectants, perfluorinated substances, alkylphenols and BPA

Specific analytical methods were developed and validated adapting already published methods for PCPs [6], DIS [7] and Alk-BPA [8]. A novel method was developed for PERF, described by Castiglioni et al., [9]. All these substances were extracted using the same SPE procedure. Samples (100, 200, 400 and 500 mL respectively for influent, effluent, surface and groundwater) were extracted using 3 mL HLB cartridges (60 mg Oasis HLB resin) and maintaining a neutral pH (7). Cartridges were conditioned by washing with 5 mL methanol and 3 mL Milli-Q water and samples were loaded at a constant flow rate from 5–15 mL/min depending on the volume. Cartridges were vacuum-dried and eluted with 4 mL methanol. Eluates were divided into two parts (2 mL each) for separate mass spectrometric analysis. The first aliquot was used for PERF analysis and an API 3000 QqQ equipped with a Turbo Ion Spray source (AB- Sciex, Thornhill, Ontario, Canada) was used in the negative ionisation mode. Eluates evaporated to dryness under a nitrogen stream were reconstituted in 200 µL of methanol and Milli-Q water (40:60, v/v). Chromatographic separation was done using an XTerra MS C18, 100×2.1 mm, 3.5 µm column (Waters Corp., Milford, MA) as detailed elsewhere [9]. The second aliquot was used for PCPs, DIS, Alk-BPA analysis. A 6410 QqQ (Agilent Technologies, Santa Clara, CA, USA) was used in positive and negative ionisation mode, respectively for analysis of PCPs and DIS. Eluates were dried and reconstituted in 200 µL of MilliQ water. Chromatographic separation was carried out using an Atlantis T3 column 150×2.1 mm, 3 µm (Waters Corp., Milford, MA,USA). Analytical details and method validation are reported by [10]. The same extract was used for the analysis of Alk-BPA, with an API 3000 QqQ in negative ionisation mode as detailed elsewhere [8].

Anthropogenic markers

The SPE method for the selected analytes was modified from previous publications for caffeine and nicotine analyses [11], [12] and included some of the main metabolites as described by Senta et al., [13]. The extraction volumes were 3, 200, 400 and 500 mL respectively for influent, effluent, surface and groundwater. Sample pH was adjusted to 7.0–7.5 using 12% HCl (v/v) and SPE was done with Oasis HLB cartridges previously equilibrated with 6 mL of methanol and 3 mL of ultrapure water. After loading the samples, cartridges were vacuum-dried for 5 minutes then eluted with 2 mL of methanol. Dried residues were redissolved in 100 μL of water/methanol mixture (80/20, v/v). Chromatographic separation was done using a 100×1 mm X-Terra C18 column (Waters Corp., Milford, MA,USA). Chromatographic and mass spectrometric conditions for analyses are described elsewhere [13].
Subject areaAnalytical Chemistry
More specific subject areaEmerging Contaminants in the environment
Type of dataTables
How data was acquiredMass spectrometry (API 3000 QqQ, ABSciex; 6410 QqQ Agilent Technologies)
Data formatRaw data
Experimental factorsSamples were filtered and extracted by solid phase extraction
Experimental featuresSamples were collected in the influents and effluents of three wastewater treatment plants in Milan, and in rivers receiving discharges from the plants and the surrounding urbanised area. Wastewater effluents were collected taking into account the wastewater resident time in the plant.
Data source locationMilan and River Lambro basin; North of Italy
Data accessibilityThe data are available within this article.
Related research articleThis data article is a companion paper of the research article:
Castiglioni, S.; Davoli, E., Riva F., Palmiotto, M. Camporini, P. Manenti, A., Zuccato E. 2018. Mass balance of emerging contaminants in the water compartment of an highly urbanized and industrialized area of Italy. Water Research. 131, 287-298.
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