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Antibiotics in Our StreamsAntibiotics in Our StreamsHow Much is There and Where Are They Coming From?How Much is There and Where Are They Coming From?
Colorado State UniversityColorado State University
Kenneth CarlsonKenneth Carlson
(([email protected]@engr.colostate.edu))
SungSung--Chul KimChul KimShinwooShinwoo YangYang
October, 2005October, 2005
Annual Antimicrobials UsageAnnual Antimicrobials Usage2002 Animal Health Industry Sales
Total Pounds Total Pounds
(Thousands)(Thousands)Percent of Total (%)Percent of Total (%)
Human UsesHuman Uses
Disease TreatmentDisease Treatment
Other Human UseOther Human Use
3,0003,000
1,5001,50099
55
Livestock UsesLivestock Uses
Therapeutic Therapeutic –– All SpeciesAll Species
Nontherapeutic Nontherapeutic –– Cattle, Swine, Poultry Cattle, Swine, Poultry
2,0002,000
24,50024,50066
7777
OthersOthers
Companion AnimalsCompanion Animals 1,0001,000 33
Total Antimicrobials UseTotal Antimicrobials Use 32,00032,000 100100
Sources, Distribution and Sinks of Sources, Distribution and Sinks of Pharmaceuticals in the EnvironmentPharmaceuticals in the Environment
Sources from: K Kummerer, Pharmaceuticals in the Environment, SpSources from: K Kummerer, Pharmaceuticals in the Environment, Springerringer
Human Used Pharmaceuticals:Human Used Pharmaceuticals:STP as point sourceSTP as point source
Veterinary Pharmaceuticals:Veterinary Pharmaceuticals:Manure as fertilizer Manure as fertilizer ⇒⇒ Soil Soil ⇒⇒Surface Runoff or Surface Runoff or Leaching through subLeaching through sub--surfacesurface
Risk to Drinking Water andRisk to Drinking Water andWatershed EcologyWatershed Ecology
Main ObjectivesMain Objectives
Monitoring Occurrence of Human and Animal Monitoring Occurrence of Human and Animal
Antibiotics in Water and SedimentAntibiotics in Water and Sediment
Monitoring Occurrence in Animal Waste Lagoons and Monitoring Occurrence in Animal Waste Lagoons and ManureManure
Evaluating Transport Pathways and MechanismsEvaluating Transport Pathways and Mechanisms
Evaluating Fate of Antibiotics and Waste Management Evaluating Fate of Antibiotics and Waste Management
Practice (BMPs)Practice (BMPs)
NH2
OHO
O OHOH
O
OH
NCH3 CH3R1R2
R3R4
12
34
56
78
91011
1214
1516
17ABCD
13
pKaaCompounds R1 R2 R3 R4 pK1 pK2 pK3
Oxytetracycline(OTC) OH OH CH3 H 3.3 7.3 9.1
Chlortetracycline(CTC) H OH Cl
3.3 7.4
9.3
Minocycline(MNC) H H H 2.8 5.0 7.8Demeclocycline(DMC) H OH H Cl
Melocycline(MCC) OH CH2 - ClTetracycline(TC) H OH CH3 H 3.3 7.7 9.7
Doxycycline(DXC) OH H CH3 H 3.5 7.7 9.5
TetracyclinesTetracyclines
Name
R Name R pKa
Sulfathiazole(STZ)
S
N
Sulfametho-xazole(SMX)
ON
CH3
Sulfamerazine(SMR)
N
N
CH3
Sulfachloro-
pyridazine
(SCP)
NN Cl
Sulfamethazine(SMT)
N
N
CH3
CH3
Sulfadimeth-
oxine
(SDM)N
N
CH3O
CH3O
NH2
SO
O
NH
R
SulfonamidesSulfonamides
MacrolidesMacrolides
H
CH3 H
OH
O
CH3
O
CH3
CH3
O
CH3
O
OHCH3
OOH
CH3
OH OCH3
OCH3
OHCH3
NCH3CH3
C
OCH3
H
CH3 H
OH
O
CH3
H3CO-H2C-H2C-O-H2C-O-N
CH3
CH3
O
CH3
O
OHCH3
OOH
CH3
OH OCH3
OCH3
OHCH3
NCH3CH3
C
OCH3
O
C2H3 O
CH3
O
CH3OH
O
CH3
O
O CH3
CHOOH O
NCH3 CH3
OOH
CH3
OH
CH3
OHO
CH3
OCH3OCH3
Erythromycin
Tylosin
Roxithromycin
IonophoresIonophores
HCH3
O
O
OH
O O
O
H5C2
HCH3
CH3
HO
OH
OH
CH3CH3OCH3
H
CH3
CH3
OHCH3
H3C
1
234
5
6
78
91 0
1 1
1 2 1 3
1 4
1 5
1 6
1 7 1 81 9
2 0
2 12 2
2 3
2 4
2 5
2 6
2 7
2 82 9
HCH3
O
O
OH
O O
O
H5C2
HCH3
CH3
HO
OH
OH
CH3CH3O
H
CH3
CH3
OHCH3
H3C
1
23
4
5
6
78
910
11
12 13
14
15
16
17 1819
20
2122
23
24
25
26
27
2829
CH3OH3C
CH3
H
O
OO
OH CH3
CH3
H
O
OH
O
CH3
H
OHOH
CH3
CH3
CH3 CH2OH
12
3
4
56
78
9
10 11
12 13
14 15
16 17
18 19
20
2122
23
2425
Monensin
Salinomycin Naracin
Main ObjectivesMain Objectives
Monitoring Occurrence of Human and Animal Monitoring Occurrence of Human and Animal
Antibiotics in Water and SedimentAntibiotics in Water and Sediment
Monitoring Occurrence in Animal Waste Lagoons and Monitoring Occurrence in Animal Waste Lagoons and ManureManure
Evaluating Transport Pathways and MechanismsEvaluating Transport Pathways and Mechanisms
Evaluating Fate of Antibiotics and Waste Management Evaluating Fate of Antibiotics and Waste Management
PracticePractice
Solid Phase Extraction (SPE) ProcedureSolid Phase Extraction (SPE) Procedure
HLBHLB3mL MeOH
3mL HCL(5%,v/v)3mL DI
3mL MeOH3mL HCL(5%,v/v)
3mL DIFlow Rate2mL/min
Flow Rate2mL/min
3×3mLDI Water3×3mL
DI Water2×2.5mLMeOH
2×2.5mLMeOH
Schematic Diagram of the Sediment Sample PreparationSchematic Diagram of the Sediment Sample Preparation
SampleSample(Air dried)(Air dried)
PrePre--ExtractionExtraction
CleanClean--upup(SPE)(SPE)
Evaporation and ReconstitutionEvaporation and Reconstitution
HPLC/MS/MS AnalysisHPLC/MS/MS Analysis
TCsTCs and and SAsSAs::Mcllvaine Buffer Solution (pH 4.0)Mcllvaine Buffer Solution (pH 4.0)
MLsMLs and and IPsIPs::Ammonium Hydroxide Buffer (pH 10.0)Ammonium Hydroxide Buffer (pH 10.0)
Nitrogen Gas Water Bath (50Nitrogen Gas Water Bath (50°°C)C)5050μμl Sample + 70l Sample + 70μμl mobile phase Al mobile phase A
High Performance Liquid Chromatography Tandem High Performance Liquid Chromatography Tandem Mass Spectrometry (HPLC/MS/MS)Mass Spectrometry (HPLC/MS/MS)
EquipmentEquipment HP 1100 HPLC equipped with HP 1100 HPLC equipped with ThermostattedThermostatted Auto Sampler and Auto Sampler and
variable UV detectorvariable UV detector
ThermoFinniganThermoFinnigan LCQ Duo ion trap mass spectrometerLCQ Duo ion trap mass spectrometer
XterraXterra MS CMS C1818 (2.1(2.1××50mm, 2.550mm, 2.5μμm pore size, endm pore size, end--capped)capped)
Optimized HPLCOptimized HPLC
ConditionConditionColumnColumn
TemperatureTemperature
((°°C)C)
Flow RateFlow Rate
(ml/min)(ml/min)Mobile Phase Conditions:Mobile Phase Conditions:
Mobile Phase A (99.9% DI+ 0.1% Formic Acid)Mobile Phase A (99.9% DI+ 0.1% Formic Acid)
Mobile Phase B (99.9% ACN + 0.1% Formic Acid)Mobile Phase B (99.9% ACN + 0.1% Formic Acid)
Mobile Phase C (100% Mobile Phase C (100% MeOHMeOH))
Tetracyclines (Tetracyclines (TCsTCs))
Sulfonamides (Sulfonamides (SAsSAs))1515 0.320.32 A: 96% + B: 4%: 0 (min) A: 96% + B: 4%: 0 (min) ⇒⇒ A: 70% + B: 30%: 29 (min) A: 70% + B: 30%: 29 (min) ⇒⇒
A: 96% + B: 4%: 30 (min) A: 96% + B: 4%: 30 (min)
Macrolides (Macrolides (MLsMLs)) 4545 0.320.32 A: 80% + B: 20%: 0 (min) A: 80% + B: 20%: 0 (min) ⇒⇒ A: 65% + B: 35%: 13 (min) A: 65% + B: 35%: 13 (min) ⇒⇒A: 80% + B: 20%: 14 (min) A: 80% + B: 20%: 14 (min)
Ionophore PolyethersIonophore Polyethers
((IPsIPs))1515 0.250.25 A: 50% + C: 50%: 0 (min) A: 50% + C: 50%: 0 (min) ⇒⇒ A: 10% + C: 90%: 1 (min) A: 10% + C: 90%: 1 (min) ⇒⇒
A: 50% + C: 50%: 20 (min) A: 50% + C: 50%: 20 (min)
Optimized MSOptimized MS
ConditionConditionNitrogen Gas used for drying and Nitrogen Gas used for drying and nebulizingnebulizing
Spray Voltage Spray Voltage –– 4.5V4.5V
Capillary Voltage Capillary Voltage –– 21V21V
Capillary Temperature Capillary Temperature -- 165165°°CC
Quality Assurance: Quality Assurance: Recovery,Limit of Quantification (LOQ)Recovery,Limit of Quantification (LOQ)
RecoveryRecovery
Range (%)Range (%)TCsTCs SAsSAs MLsMLs IPsIPs
AqueousAqueous
(0.1,1,5 (0.1,1,5 μμg/L)g/L)
102 102 -- 124124 77 77 –– 124124 89 89 –– 114114 82 82 –– 117117
SedimentSediment
(1,30,90 (1,30,90 μμg/kg)g/kg)
33 33 --115115 62 62 -- 108108 53 53 -- 128128 51 51 -- 105105
Lowest calibration curve point based on signal/noise 3 (0.01 Lowest calibration curve point based on signal/noise 3 (0.01 μμg/L and 1 g/L and 1 μμg/kg )g/kg )Standard Deviation Standard Deviation ×× StudentStudent’’s ts t--variate for one sided variate for one sided tt--test at the 95% confidence intervaltest at the 95% confidence interval
LOQLOQ TCsTCs SAsSAs MLsMLs IPsIPs
AqueousAqueous
((μμg/L)g/L)
0.01 0.01 –– 0.040.04 0.01 0.01 –– 0.020.02 0.01 0.01 –– 0.030.03 0.012 0.012 –– 0.0270.027
SedimentSediment
((μμg/kg)g/kg)
0.3 0.3 –– 2.52.5 0.3 0.3 –– 1.71.7 0.5 0.5 –– 1.71.7 0.4 0.4 –– 3.63.6
Detect Response of Spiked Sample after SPEDetect Response of Spiked Sample after SPE
Detect Response of Spiked Sample prior to SPEDetect Response of Spiked Sample prior to SPE×× 100100Recovery Ratio =Recovery Ratio =
Sampling Sites DescriptionSampling Sites DescriptionSampling Site 1:Sampling Site 1:
Pristine watershedPristine watershed
Sampling Site 2:Sampling Site 2:
Rural landscapeRural landscape
Sampling Site 3:Sampling Site 3:
Urban influencedUrban influenced
Wastewater Reclamation FacilityWastewater Reclamation Facility
Sampling Site 4:Sampling Site 4:
Heavily agricultural influenced areaHeavily agricultural influenced area
Sampling Site 5:Sampling Site 5:
Both urban and agricultural Both urban and agricultural
influenced area influenced area
+ Sampling Sites • Dairy ■ Feedlots ▲ Ranches ★USGS Gages
Site 2 Site 2 -- AqueousAqueous
Site 2
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/L)
0.00
0.01
0.02
0.03
0.04
0.05
0.06
May-03April-04August-04February-05
Site 2
Sulfonamides
STZ SMR SMT SCP SMX SDM
Con
cent
ratio
n ( μ
g/L)
0.00
0.01
0.02
0.03
0.04
0.05
May-03April-04August-04February-05
Site 2
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/L)
0.00
0.01
0.02
0.03
0.04
May-03April-04August-04February-05
Site 2
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/L)
0.000
0.005
0.010
0.015
0.020
0.025
0.030
May-03April-04August-04February-05
No observedNo observedconcentrationconcentrationin May and Aprilin May and Aprilexcept except NarasinNarasin
Local small farmLocal small farmmight contributemight contributethe detection of the detection of NarasinNarasin
Higher concentrationHigher concentrationin February within February withhigh detect frequencyhigh detect frequencyFor For TCsTCs and and SAsSAs
Site 3 Site 3 -- AqueousAqueous
Site 3
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n (μ
g/L)
0.00
0.02
0.04
0.06
0.08
0.10
0.12
May-03April-04August-04February-05
Site 3
Sulfonamides
STZ SMR SMT SCP SMX SDM
Con
cent
ratio
n ( μ
g/L)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
0.35
Site 3
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/L)
0.0
0.1
0.2
0.3
0.4
0.5
May-03April-04August-04February-05
Site 3
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/L)
0.00
0.01
0.02
0.03
0.04
May-03April-04August-04February-05
Higher concentrationHigher concentrationof human usedof human usedantibiotics orantibiotics orantimicrobialsantimicrobials
High concentration ofHigh concentration ofETMETM--H2O in low flowH2O in low flowand cold temperatureand cold temperature
Site 4 Site 4 -- AqueousAqueous
Site 4
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/L)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
May-03April-04August-04February-05
Site 4
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
L)0.00
0.02
0.04
0.06
0.08
Site 4
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/L)
0.00
0.02
0.04
0.06
0.08
0.10
May-03April-04August-04February-05
Site 4
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/L)
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
May-03April-04August-04February-05
3 3 IPsIPs were detectedwere detected
Site 5 Site 5 -- AqueousAqueousSite 5
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/L)
0.0
0.1
0.2
0.3
0.4
Site 5
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
L)0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
Site 5
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/L)
0.00
0.05
0.10
0.15
0.20
0.25
May-03April-04August-04February-05
Site 5
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/L)
0.00
0.01
0.02
0.03
0.04
May-03April-04August-04February-05
Higher concentrationHigher concentrationof MNS in Mayof MNS in May
Site 2 Site 2 -- SedimentSedimentSite 2
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/kg
)
0
10
20
30
40
50
May-03April-04August-04February-05
Site 2
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
kg)
0
1
2
3
4
5
6
7
May-03April-04August-04February-05
Site 2
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/kg
)
0.00
2.00
4.00
6.00
8.00
10.00
12.00
14.00
May-03April-04August-04February-05
Site 2
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/kg
)
0.0
0.5
1.0
1.5
2.0
2.5
3.0
May-03April-04August-04February-05
No measurement forNo measurement forMLsMLs and and IPsIPsin Februaryin February
More frequent detectionMore frequent detectioncompared to aqueouscompared to aqueous
Site 3 Site 3 -- SedimentSedimentSite 3
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/kg
)
0
20
40
60
80
100
120
May-03April-04August-04February-05
Site 3
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
kg)
0
2
4
6
8
Site 3
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/kg
)
0
5
10
15
20
25
30
May-03April-04August-04February-05
Site 3
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/kg
)
0
1
2
3
4
May-03April-04August-04February-05
Higher concentrationHigher concentrationIn February for In February for TCsTCs andandSAsSAs
No No IPsIPs except except NarasinNarasin
Site 4 Site 4 -- SedimentSedimentSite 4
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/kg
)
0
5
10
15
20
25
30
May-03April-04August-04February-05
Site 4
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
kg)
0
2
4
6
8
10
12
14
16
Site 4
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/kg
)
0
2
4
6
8
10
12
14
16
18
May-03April-04August-04February-05
Site 4
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/kg
)
0
5
10
15
20
25
30
35
May-03April-04August-04February-05
Higher concentrationHigher concentrationin August for SMT,in August for SMT,ETMETM--HH22O, and O, and IPsIPs
High concentrationHigh concentrationOf CTC, STZ, and TLSOf CTC, STZ, and TLS
Site 5 Site 5 -- SedimentSedimentSite 5
Tetracyclines
TC CTC OTC DMC MCC DXC
Con
cent
ratio
n ( μ
g/kg
)
0
20
40
60
80
Site 5
Sulfonamides
STZ SMR SMT SCP SMX SDMC
once
ntra
tion
( μg/
kg)
0
2
4
6
8
Site 5
Macrolides
ETM-H2O RTM TLS
Con
cent
ratio
n ( μ
g/kg
)
0
2
4
6
8
10
12
14
May-03April-04August-04February-05
Site 5
Ionophore Polyethers
MNS SLM NRS
Con
cent
ratio
n ( μ
g/kg
)
0
5
10
15
20
25
30
35
May-03April-04August-04February-05
Combination of human usedCombination of human usedAnd veterinary medicinesAnd veterinary medicines
Summary of Measured Concentration at watershedSummary of Measured Concentration at watershedWaterWater SedimentSediment
Detected Concentration (Detected Concentration (μμg/L)g/L) Detected Concentration (Detected Concentration (μμg/kg)g/kg)CompoundsCompounds Frequency of Frequency of
Detection (%)Detection (%) MeanMean Standard Standard DeviationDeviation
MaximumMaximum MinimumMinimum
Frequency of Frequency of
Detection (%)Detection (%) MeanMean Standard Standard DeviationDeviation
MaximumMaximum MinimumMinimum
TCTC 4242 0.020.02 0.010.01 0.030.03 0.010.01 8080 17.917.9 24.324.3 102.7102.7 1.11.1
CTCCTC 4545 0.080.08 0.070.07 0.210.21 0.010.01 8080 10.810.8 9.29.2 30.830.8 1.11.1
OTCOTC 3737 0.180.18 0.400.40 1.211.21 0.010.01 8080 14.814.8 13.913.9 56.156.1 2.42.4
DMCDMC 3030 0.030.03 0.010.01 0.050.05 0.020.02 8080 6.96.9 5.55.5 23.623.6 2.12.1
MCCMCC 4747 0.030.03 0.030.03 0.100.10 0.010.01 8080 24.324.3 21.521.5 72.072.0 4.34.3
DXCDXC 3333 0.020.02 0.010.01 0.050.05 0.010.01 6565 15.715.7 10.110.1 38.938.9 2.22.2
STZSTZ 3333 0.010.01 0.010.01 0.030.03 0.010.01 7070 3.33.3 2.32.3 5.45.4 1.31.3
SMRSMR 3030 0.020.02 0.020.02 0.060.06 0.010.01 1515 4.84.8 2.32.3 6.86.8 2.32.3
SMTSMT 1010 0.020.02 0.000.00 0.020.02 0.020.02 2525 4.74.7 5.25.2 13.713.7 1.01.0
SCPSCP 55 0.030.03 0.000.00 0.030.03 0.030.03 2525 2.72.7 0.50.5 3.23.2 1.91.9
SMXSMX 6060 0.110.11 0.090.09 0.320.32 0.040.04 2525 1.61.6 0.30.3 1.91.9 1.21.2
SDMSDM 3333 0.020.02 0.020.02 0.040.04 0.010.01 3030 3.83.8 2.12.1 6.86.8 1.71.7
ETMETM--H2OH2O 6565 0.120.12 0.130.13 0.450.45 0.020.02 7575 10.010.0 7.67.6 25.625.6 1.31.3
RTMRTM 00 0.000.00 0.000.00 0.000.00 0.000.00 3030 2.12.1 1.91.9 5.95.9 1.11.1
TYLTYL 55 0.050.05 0.000.00 0.050.05 0.050.05 5353 3.03.0 2.82.8 9.39.3 1.11.1
MNSMNS 5050 0.0090.009 0.0010.001 0.0360.036 0.0020.002 4040 13.813.8 11.211.2 31.531.5 2.42.4
SLMSLM 4343 0.0020.002 0.0020.002 0.0070.007 0.0010.001 4040 9.19.1 11.011.0 30.130.1 1.81.8
NRSNRS 3737 0.0180.018 0.0160.016 0.0380.038 0.0010.001 4040 6.46.4 4.24.2 16.316.3 2.82.8
Pseudo Partitioning CoefficientPseudo Partitioning Coefficient
Sediment Concentration (Sediment Concentration (μμg/kg)g/kg)Pseudo Partitioning Coefficient (L/kg) =Pseudo Partitioning Coefficient (L/kg) =
Aqueous Concentration (Aqueous Concentration (μμg/L)g/L)
CompoundsCompounds RangeRange AverageAverage ReferenceReference
CTCCTC 623 623 -- 11601160 891891
2424
243243
15251525
670 670 –– 16201620
SMXSMX 20 20 -- 2828 0.6 0.6 –– 4.94.9
ETMETM--H2OH2O 72 72 -- 397397 8.3 8.3 –– 128128
MNSMNS 1000 1000 -- 20502050 --
PPC: MNS > CTC > ETMPPC: MNS > CTC > ETM--H2O > SMXH2O > SMX
Sources from: J Tolls, Environmental Science and Technology (200Sources from: J Tolls, Environmental Science and Technology (2001), 35, 3397 1), 35, 3397 -- 34063406
Animal Waste OperationsAnimal Waste Operations
Operation Lagoon Water Manure
Dairy 7 7
Beef 6 5
Hog 10 5
Sheep 2 4
Turkey 0 2
Animal Waste OperationsAnimal Waste OperationsConcentration in lagoon water
Samples OTC CTC TC MNSug/L ug/L ug/L ug/L
MDL 1.79 1.33 2.09 0.86
Dairy A 5.04 1.71 9.89Dairy B 17.46 4.78 11.48Dairy C 10.62 1.56Dairy D 2.25Dairy EDairy F 2.95 12.45Dairy G 2.41Beef A 3.27 51.80 7.44 101.34Beef B 7.85 54.56Beef C 2.08 6.94 502.34Beef D 3.53 3.02 8.61 75.32Beef E 2.31 43.27Beef F 2.52 395.76Hog A 7.53 12.93Hog B 2.36 6.23Hog C 11.30 1193.00 6.47Hog D 12.77 2.54Hog E 135.43 16.95Hog F 99.52 14.40Hog G 1524.82 9498.69 26.47Hog H 1310.23 9450.37 24.83Hog I 6.65 2.58Hog J 8.05 2.40
Sheep 1 1.60 6.29Sheep 2
Animal Waste OperationsAnimal Waste OperationsConcentration in lagoon water
Samples STZ SCP SDM SMR SMT SMXug/L ug/L ug/L ug/L ug/L ug/L
MDL 0.81 0.87 1.03 1.02 0.94 0.58
Dairy A 3.83 4.41 0.95 0.61Dairy B 1.01 16.80 1.02 2.91 0.59Dairy C 1.76 2.34Dairy DDairy EDairy F 28.04Dairy G 1.82Beef A 1.44 2.43 0.64Beef B 1.17Beef CBeef D 3.83Beef E 2.14 0.96 0.70Hog A 2.07Hog B 4.43Hog C 1941.53 66.07Hog D 1.77Hog E 3.80 2.96 1.12Hog F 3.88 4.53 2.70 1.26Hog G 2079.27 270.73 1.59 9.44Hog H 2430.30 280.58 2.31 8.05Hog IHog J 1.51 1.19
Sheep 1 64.23 2.47 0.60Sheep 2 132.68
Animal Waste OperationsAnimal Waste OperationsConcentration in lagoon water
Samples TLS ETM-H2O RTMug/L ug/L ug/L
MDL 0.46 0.65 0.59
Dairy A 1.16Dairy B 4.05 3.05 19.20Dairy C 0.51Dairy D 9.60 0.74Dairy E 19.53 7.95 4.58Dairy F 5.88Dairy G 4.84Beef A 102.52 7.39 43.66Beef B 0.90 0.68Beef C 11.69Beef D 27.88Beef E 37.59Beef F 36.78 0.67Hog A 0.69 0.63Hog BHog C 12.58 3.76 1.09Hog D 60.01 4.25Hog E 5.04Hog F 2.27Hog G 0.46Hog HHog IHog J
Sheep 1Sheep 2 1.80 1.40 1.06
Animal Waste OperationsAnimal Waste OperationsConcentration in liquid manure
Samples OTC CTC TC MNSug/kg ug/kg ug/kg ug/kg
MDL 2.43 1.93 2.27 1.96
Dairy/Fresh 16.32 8.87 45.00Dairy/Fresh 42.43 33.38Dairy/Fresh 38.62 34.56Dairy/Fresh 15.73 356.62Dairy/Fresh 5130.42 2.47 1045.52Dairy/Fresh 5.58 39.01 78.53Dairy/Fresh 620.92 31.34 83.00Beef/Fresh 4.58 345.67Beef/Fresh 20.59 380.77 585.34 542.57Beef/Fresh 6.05 10.28 983.56Beef/Fresh 22.93 234.49 184.97 456.30Beef/Fresh 8.29 30.71 36.78Hog Fresh 11.94 23.88 128.44Hog Fresh 91.73 23138.27 1115.56Hog Fresh 1076.27 634.89 394.06Hog Fresh 372.78 148.60 284.15Hog Fresh 176779.21 22837.04 808.12
Sheep Fresh 172.33 3622.96 343.53Sheep Fresh 5.90 5.07 26.45Sheep Fresh 34.04 9990.72 3071.49Sheep Fresh 175832.67 9.64 10896.72Turkey/Old 160.53 26.91Turkey/Old 18.69 308.70 37.78
Animal Waste OperationsAnimal Waste OperationsActual concentration in liquid manure
Samples STZ SCP SDM SMR SMT SMXug/kg ug/kg ug/kg ug/kg ug/kg ug/kg
MDL 1.35 1.43 1.54 1.17 1.62 1.08
Dairy/Fresh 16.51 7.85 1.75Dairy/Fresh 7.04 1.67Dairy/Fresh 11.49 1.89Dairy/Fresh 8.57Dairy/Fresh 24.32 3.04 647.85 2.64 3.57Dairy/Fresh 46.39 9.53 3.01 1.47Dairy/Fresh 2.74 11.67Beef/Fresh 12.77 3.25Beef/Fresh 127.47 2.18 12.11 5.30 7.28Beef/Fresh 19.70 6.31 2.82Beef/Fresh 257.78 8.43 2.49Beef/Fresh 7.88 5.97Hog Fresh 14.75 1.72 3.07 3.59Hog Fresh 17.40 3.19 2.71Hog Fresh 4.76 5.73Hog Fresh 36.69 38.38 1.81 1.50Hog Fresh 1.74
Sheep Fresh 1.37Sheep Fresh 12.96 419.21 1.96Sheep Fresh 4.19 1.82 2.01Sheep Fresh 10.19 248.42 2.73 1.80Turkey/Old 31.35 69.86 3.18 6.47Turkey/Old 5.51 6.17 1.68
Column Leaching ExperimentsColumn Leaching Experiments
PurposesPurposesEvaluating potential mobility of antibioticsEvaluating potential mobility of antibiotics
Estimating partition coefficient (Estimating partition coefficient (KdKd))
Comparing surface runoff field experimentComparing surface runoff field experiment
Expected ResultsExpected ResultsMobility: Sulfonamides > Mobility: Sulfonamides > MacrolidesMacrolides > > IonophoresIonophores > >
TetracyclinesTetracyclines
KdKd values: values: TetracyclinesTetracyclines > > IonophoresIonophores > > MacrolidesMacrolides > > SulfonamidesSulfonamides
Mass Loading From Local Irrigation Ditches Mass Loading From Local Irrigation Ditches to Watershedto Watershed ID Site name or
descriptionAveraged MeanStream Flow (cfs) a
A Eaton Canal 195
B Local Ditch -
C Eaton Canal 195
D Graham Seep Ditch 3
E Greeley #2 Canal 119
F Graham Seep Ditch 3
G Eaton Canal 195
H Greeley #2 Canal 119
I Greeley #2 Canal 119
M Agricultural Area 45
N Urban and agricultural combined area
a Averaged mean stream flow of canal or ditch was provided by Cache la Poudre River water commitionerand river mean stream flow was adapted from U.S. Geological Survey (USGS). Unknown data is not shown.
Inflow Inflow TC: 153.4TC: 153.4
CTC: 266.4CTC: 266.4OutflowOutflowTC: 2.5TC: 2.5
CTC: 2.9CTC: 2.9Mass Flux Mass Flux
TC: 1.6TC: 1.6CTC: 1.1CTC: 1.1
Inflow Inflow STZ: 6.2STZ: 6.2
SMT: 151.3SMT: 151.3OutflowOutflowSTZ: 0.3STZ: 0.3SMT: 3.0SMT: 3.0
Mass Flux Mass Flux STZ: 4.6STZ: 4.6
SMT: 2.0SMT: 2.0
Inflow Inflow ETMETM--HH22O: 48.2O: 48.2
TLS: 118.3TLS: 118.3OutflowOutflow
ETMETM--HH22O: 2.1O: 2.1TLS: 4.2TLS: 4.2
Mass FluxMass FluxETMETM--HH22O: 4.4O: 4.4
TLS: 3.5TLS: 3.5
InflowInflowMNS: 13.0MNS: 13.0SLM: 6.0SLM: 6.0NRS: 12.6NRS: 12.6OutflowOutflowMNS: 0.3MNS: 0.3SLM: 0.3SLM: 0.3NRS: 0.6NRS: 0.6
Mass FluxMass FluxMNS: 1.9MNS: 1.9SLM: 5.0SLM: 5.0NRS: 4.5NRS: 4.5
Unit of Inflow and Outflow: ton/yr, Mass Flux: %Unit of Inflow and Outflow: ton/yr, Mass Flux: %
ConclusionsConclusions
•• Occurrence frequency high in semiOccurrence frequency high in semi--arid watershedarid watershed
•• SedimentSediment--partitioned concentrations much higherpartitioned concentrations much higher
•• With different site characteristics and land use, With different site characteristics and land use, concentration of human and animal antibiotics varies concentration of human and animal antibiotics varies significantly significantly –– BMPs can be developedBMPs can be developed
•• Surface runoff may contribute to the release of Surface runoff may contribute to the release of antibiotics or antimicrobials to the environmentantibiotics or antimicrobials to the environment
•• Local irrigation ditches might act as intermediate Local irrigation ditches might act as intermediate transport pathwaystransport pathways
AcknowledgementAcknowledgement
Colorado State UniversityColorado State University
Dr Amy Dr Amy PrudenPruden
Dr Jessica DavisDr Jessica Davis
Kathy Kathy DoeskenDoesken
Support:Support:
United States Department of Agriculture (USDA)United States Department of Agriculture (USDA)
National Integrated Water Quality ProgramNational Integrated Water Quality ProgramIntegrated Research, Education, and Extension Competitive GrantsIntegrated Research, Education, and Extension Competitive Grants ProgramProgram