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Dr. Lance Schideman, Dr. Yuanhui Zhang, Dr. Micheal Plewa, John Scott
Young-Hwan Shin, Peng Zhang, Justin Pals
University of Illinois at Urbana - Champaign
1
Characterizing the fate and transport of bioactive
chemicals of emerging concern (CECs) from animal
manure during waste-to-energy processes
Problem/Opportunity Statement
2
Manure can be viewed as a problem…
 Excess nutrient runoff and spills can lead to eutrophication and hypoxia
 Hormones can lead to endocrine disruption (e.g., fish feminization)
 Antibiotics can lead to antibiotic resistance (80% for livestock)
Manure can be viewed as an opportunity…
 Big supply- 50 to 150 million dry tons/yr
 Manure organics have a large energy content (1-2 Quadrillion BTU)
 Non-potable water reuse potential
 Liquid portion of animal manure (LPAM) ~1 Billion tons/yr
 Nutrients can be used to grow additional bioenergy feedstocks
 Manure nutrients reduce cost & CO2 emissions for synthetic fertilizers
Antibacterial Drug Use
(FDA, 2009)
Livestock animals Feeding with antibiotics
Storage of livestock
manure (Pit or Lagoon)
Manure spreading in the field
River or Lake water Fish feminization
Antibiotic resistant
infection
Runoff/Drainage/flooding
from soil to surface water
Antibiotics, Antibiotic resistant bacteria, and
hormones
o Integrated manure management and bio-energy recovery system can interrupt transport
of CECs and thus reduce negative effects on the health of humans & ecosystems
INTRODUCTION
How CECs in the livestock manure can affect health of humans & ecosystems?
Interrupt transport of
CECs with Waste-to-
energy system
Overall process diagram for integrated waste to energy system
4
a) swine manure storage, b) LPAM production, c) biomass production, and d) hydrothermal biomass conversion processes.
a)
b)
c)
d)
RESEARCH TOPICS & OBJECTIVES
5
Characterize CECs in the liquid portion of animal manure (LPAM)
Fate of CECs in biological & adsorptive water treatment processes
Mixed algal/bacterial bioreactor (MABB)
Conventional activated sludge (CAS)
With and without granular activated carbon (GAC) incorporated
Fate of CECs in hydrothermal biofuel conversion processes
Hydrothermal liquefaction (HTL) biomass to bio-crude oil
Catalytic hydrothermal gasification (CHG) biomass to syn-gas
HTL of biomass & CHG of HTL-wastewater
Dynamic process modeling describing the fate of bioactive CECs
6
Operating conditions for bioreactors
Mixed Algal-
Bacterial
Bioreactor (MABB)
Conventional
Activated Sludge
Bioreactor (CAS)
Reactor type
Sequencing Batch
Reactor
Sequencing Batch
Reactor
Operating Volume (gal) 50 50
Light intensity
(µmol photons/m2/s)
350 -
Temperature (˚C) 18 16
Aeration rate (L/min) 6 11
Organic Loading Rate
(mg/L)
48.6 - 571 48.6 - 571
HRT (day) 1- 4 1- 4
SRT (day) 25 – 30 25 - 30
Fill volume ratio (VF/VT, %)
Estrogen Spike Conc(mg/L)
50
1.3 – 396
50
1.3 – 396
MATERIALS & METHODS- Capture of bioactive CECs
MABB
7
 Estrogens were well captured in
both bioreactors
 84.3% - 99.9% removal
 MABB had slightly higher average
removal than CAS
 + 5.1 % removal
 Reactors with GAC had slightly
higher average removal
 + 4.2 % removal
 % Removal very similar during high
and low spiking events
 Used for STELLA modeling
RESULTS & DISCUSSION- Capture of bioactive CECs
0
20
40
60
80
100
120
E2%removal(Ce/C0)
Low spiking
HI spiking
Hydrothermal liquefaction (HTL) directly
converts wet biomass into crude oil
8
Gas Product
Post-HTL
WW
Oil
Product
Solid Residue
Demonstrated
HTL Feedstocks
Reactor
High T:200 – 350 oC
High Pressure : 80 – 120 atm
Municipal sludge
Manure
Algae
Crop residues
Woody materials
Eout : Ein > 3:1 at lab-scale (% solids =20%)
Eout : Ein > 10:1 w/ heat exchangers in
commercial applications
HTL successfully converted captured LPAM
organics to bio-crude oil
• Biomass % solids = 20%,
• HHV of biomass (dry) =
14,140 kJ/kg
• Optimal operating condition
was 300 oC & 60 min
reaction time
• Oil HHV = 31,426 kJ/kg
• Energy recovery = 80%
0%
10%
20%
30%
40%
50%
60%
70%
200 60 250 30 250 60 300 30 300 60 350 30 350 60
Bio-crude oil and solid residue
yield of LPAM biomass via HTL
oil solid residue
RESULTS & DISCUSSION- HTL destruction of bioactive CECs
10
0
20
40
60
80
100
120
%Removal
E2 removal E1 removal
 Most HTL operating conditions provide high % removal of hormones
 300 ˚C / 60min showed more removal of hormones than 300 ˚C / 30min
 Removal was more sensitive to Reaction time than temperature
% Removal of E1 and E2 under various Hydrothermal Liquefaction conditions
RESULTS & DISCUSSION- CHG destruction of bioactive CECs
11
 All CHG conditions provided high % removal of E1 & E2 ( > 99% removal)
 Higher than 450 ˚C, more than 99.87% of E1 and E2 removed
 CHG Removal of CECs was more sensitive to temperature than retention time
% Removal of E1 and E2 during the CHG processes for different operating conditions
97.5
98.0
98.5
99.0
99.5
100.0
100.5
%Removal
E1 removal E2 removal
RESULTS & DISCUSSION- Destruction of Florfenicol by HTL
12
 Detection limit of Florfenicol (FF) was 0.05 mg/L in high resolution GC/MS
 99.9% of FF in DI water and LPAM were removed with HTL at 300 ˚C and 30 min
Removal of Florfenicol in the HTL process with DI water and LPAM
Florfenicol in LPAM (Post-HTL)
Florfenicol in DI water (Pre-HTL)
Florfenicol in LPAM (Pre-HTL)
Florfenicol in DI water (Post-HTL)
RESULTS & DISCUSSION- Florfenicol (FF) breakdown products
13
 4-MSB was the predominant FF breakdown product in the Post–HTL wastewater (5-30%)
 4-MSAP and MPS were also detected at higher temperature
RESULTS & DISCUSSION- Antibiotic resistance effects
14
 Sensitive Antibiotic
Resistance Assay was
developed
 Antibiotic Resistance
occurred when the
positive and negative
control varied
 LPAM contributed to
antibiotic resistance
 HTL & CHG processes
eliminated the capacity
of LPAM to induce
antibiotic resistance
Antibiotic Resistance fluctuation assay before & after HTL or CHG
LB Negative control
LB Positive control
MABB effluent Negative control
MABB effluent Positive control
PHWW
(MABB Biomass)
PCWW
(PHWW
w/ MABB Biomass)
PCWW
(MABB Biomass)
PHWW
(CAS Biomass)
PCWW
(PHWW
w/ CAS Biomass)
PCWW
(CAS Biomass)
MeanNumberAntibioticResistanceE.coliWells
(ResistantJackpotWells/96-WellMicroplate)
0
10
20
30
40
50
Comparison of different bio-energy processes
• HTL-CHG process was most
favorable in terms of net
energy yield, assuming heat
exchange at 80% efficiency,
• Additional CHG(600C) after
HTL can recovery the energy
in PHWW at about 7% of
total biomass
• Biomass not fully converted
to energy products (oil and
gas) in direct CHG process
• Significant decrease in oil
yield (40% for HTL, 15% for
direct CHG) and thus overall
energy yield
HTL HTL-CHG
Direct
CHG
Reaction
condition
300C
60min
HTL: 300C
60min
HTL: 300C
60min 400C 60
minCHG: 400C
60min
CHG: 600C
60min
Oil energy
yield, kJ/g
wet BM
2.45 2.45 2.45 0.98
Gas energy
yield, kJ/g
wet BM
n.a. 0.22 0.59 0.34
Net total
energy
yield, kJ/g
wet BM
2.26 2.24 2.46 1.00
Final Aq
Product
COD, mg/L
96,000 20,000 3,000 52,000
Net Energy
recovery
80% 79% 87% 35%
16
Dynamic System Modeling with STELLA
A process
Internal Flows
External Input
Output
E2-Energy process model construction simulating CECs flow
Waste
Pretreatment
Excretion
Bioenergy Conversion
(HTL)
Adsorption and
Biological Treatment
CHG CHG
conversion
Biomass
Harvest
HTL destruction/ transformation
Biological degradation/uptake
Physical/chemical adsorption
Discharged in
treated WW
 > 99.9% of hormones can be removed in the integrated treatment system
RESULTS & DISCUSSION- Modeled System CEC removal
Bottom
slurry
Screened slurry
Bag filtraion
LPAM
(MF)
MABB eff
MABB eff_recycle 1
MABB eff_recycle 2
MABB eff_recycle 3
MABB eff_recycle 4
%RemovalofE2
0
20
40
60
80
100
120
E2concentration(ng/L)
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
% removal
% removal of each step
E2 concentration (ng/L)
Conclusions
 LPAM: Liquid Portion of Animal Manure containing nutrients and dissolved
organics (including bioactive CECs) can become a valuable resource
 >98% of CECs in LPAM can be captured w/ an adsorptive-biological reactor
 Using algae and GAC enhance the uptake of organics
 >99.9% CEC removal possible with optimized multi-step system
 > 85% of the energy content of LPAM can be harvested by hydrothermal
biofuel conversion processes
 Antibiotics are broken down sufficiently by hydrothermal processes to
eliminate the development of antibiotic resistance
 Effluent LPAM is cleaned up significantly for improved surface water quality
or potential water reuse applications
2
19
20
 Range of E2 & E1 in swine manure slurry (UIUC) was lower than previous studies (Fine et al., 2003;
Hanselman et al., 2003; Irwin et al., 2001; Raman et al., 2004; Shappell et al., 2007; Sim et al., 2011; Singh et al., 2013).
 Spiked concentrations of E1 & E2 were in the range of practical concentration of hormones.
E1 & E2: 1.3 µg/L (low spiking) < real LPAM << 396 µg/L (High spiking) << 3214 µg/kg
0
500
1000
1500
2000
2500
3000
3500
concentration(μg/kg)
E2 in slurry E1 in slurry
E2: 27.26 ±0.58
E1: 25.95 ±0.59
RESULTS & DISCUSSIONS Occurrence of hormones
22
Finishing
Farrowing
Gestation
Lagoon
ⒶⒷ
Ⓒ
INTRODUCTION
Sampling points of swine manure at SRC (Swine Research Center at UIUC)
Conventional Pig production cycle
INTRODUCTION
<Source: http://www.epa.gov/agriculture/ag101/porkglossary.html>
Pork glossary
a) Breeding: producing offspring
b) Gestation: period when sow is pregnant
c) Farrowing: period from birth to weaning
d) Weaning: removal of piglets from their mother
e) Piglet: young pig
f) Finishing: growing piglets to market weight
g) Heat: estrous period of sow
h) Slaughter: killing pigs
i) Boar: Castrated male pigs
(a)
(b)
(c)
(d)
(e)
(f)(g)
- Fresh solid, urine, slurry, & LPAM
Finishing
Reproduction cycle of sows Life cycle of growing pigs
Breeding
* Sampling points
23
Gestation
- Manure slurry from Top & sludge
layer at finishing pit
(d)
(h)
MATERIALS & METHODS
24
Analytical methods
24
Swine manure samples Centrifugation Extraction
Evaporation & concentrationELISA or GC/MS analysis
at ng/L level
Figure. 2 Flow diagram of the samples preparation and analytical methods of estrogenic hormones
0
50
100
150
200
250
300
350
400
450
500
0
1000
2000
3000
4000
5000
6000
7000
TP&TN(mg/L)
sCOD(mg/L)
Date
sCOD TN TP
 The water quality parameters of LPAM showed seasonal variation based on temperature
 sCOD,TN &TP of 6 different LPAM increased with temperature of manure storage
 sCOD of LPAM was adjusted to 4,000 mg/L to make bioreactor feedstock
RESULTS & DISCUSSIONS Water quality analysis
 Chinese Hamster Ovary (CHO) cell assay (Hsie AW, 1975; Wagner et al., 1998)
used to investigate cytotoxicity of LPAM
 Organics in LPAM has a cytotoxicity index of 2.38 which is less toxic than raw
municipal wastewater (8.8), primary effluent (3.8) and secondary wastewater effluent
(2.64)
RESULTS & DISCUSSIONS
8.8
3.8
3.3
2.64
2.38
0
1
2
3
4
5
6
7
8
9
10
UCSD
Centrate
UCSD
influent
Primary
effluent
Secondary
Eflluent
LPAM
CytotoxicityIndex(LC50)-1(10)3
Figure. 5 Comparison of Cytotoxicity index for LPAM & municipal
wastewater
Figure. 4 Cytotoxicity of LPAM organics via CHO cell assay
 Sorption onto biomass (E2 >90%) is dominant
 Desorption of E2 from the biomass is insignificant (Andaluri et al., 2012)
 Biotransformation could be occurred in the bioreactors by microorganisms
INTRODUCTION
Removal of estrogenic hormones during biological processes
Proposed transformation pathway of estrogenic hormones
(Lee & Liu 2002; Hutchins et al., 2007)
28
 MABB shows similar sCOD & higher TP removal than CAS with lower aeration
Aeration rate: CAS (11 LPM) & MABB (7 LPM)
 60 ~ 65% of sCOD was removed within 3 hours of operation in each reactor
 TP removal ratio of each reactor was MABB ( 16.9%) & CAS (4.47%) in 3 hours
0
50
100
150
200
250
0 30 60 90 120 150 180 210
sCOD(mg/L)
Time (min)
CAS MABB
0
5
10
15
20
25
30
0 30 60 90 120 150 180
TP(mg/L)
Time (min)
MABB CAS
RESULTS & DISCUSSIONS
Profile of sCOD & TP removal in one cycle of MABB & CAS
29
RESULTS & DISCUSSIONS
Profile of hormones removal in one cycle of MABB operation
 Within 11 hours, 88 ~ 96 % of total hormones were removed in both of reactors
 GAC addition accelerate & increase the removal of hormones in the MABB
 % removal of total hormones in 1 cycle was 98.2 ~ 99.4%
0
100
200
300
400
500
600
700
0 500 1000 1500 2000 2500
concentration(μg/L)
Time (min)
E2 E1 E3 Total EE2
0
100
200
300
400
500
600
700
0 500 1000 1500 2000 2500
concentration(μg/L)
Time (min)
E2 E1 E3 Total EE2
Figure. 7 Removal of estrogenic hormones in mixed algal-bacterial
bioreactor without Granular Activated Carbon (GAC)
Figure. 6 Removal of estrogenic hormones in mixed algal-bacterial
bioreactor with Granular Activated Carbon (GAC)
 sCOD removal from LPAM ranged from 58.4% to 80.9% with increasing organic
loading from 42.3 to 152 mg/L/day
 High Shock loading w/ GAC shows fast recovery (450 mg/L << 2370 mg/L)
≈≈
0
200
400
600
800
1000
1200
1400
1600
1800
50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210
COD(mg/L)
Time (d)
COD inf
COD eff
Phase I-A Phase I-B Phase II Phase III
Shock loading
450 &
2370 mg/L
Low LPAM loading
Avg OLR: 42.3 mg/l/d
Mid LPAM loading
Avg OLR: 152 mg/l/d
Low LPAM loading
Avg OLR: 46.5 mg/l/d
68%
removal
58.4%
removal
80.9%
removal
Reactor broken
RESULTS & DISCUSSIONS
Long – term operation of Mixed algal-bacterial bioreactor
Phase I-B Phase II
% removal
NH4
+-N: 98.4
% removal
TN: 41.1
NH4
+- N: 94.8
% removal
TN: 43.9
NH4
+-N: 85.8
 Total Nitrogen (415 ~ 833mg/L) of LPAM feedstock was removed up to 44% in
the effluent of MABB
 NH4
+-N (113.5 mg/L ) of LPAM feedstock were removed up to 98.4% in the
effluent of MABB
Long – term operation of Mixed algal-bacterial bioreactor
RESULTS & DISCUSSIONS
32
 Low & high spiking in bioreactors were tested for STELLA modeling
 Similar % removal of hormones except E1 in MABB w/o GAC
 % removal of E1 in algal pre-treatment and HTL ranged from 43.63 to 76.20% (Pham et al., 2012)
RESULTS & DISCUSSIONS
0
20
40
60
80
100
120
E1%removal(Ce/C0)
Low spiking
HI spiking
0
20
40
60
80
100
120
E2%removal(Ce/C0)
Low spiking
HI spiking
RESULTS & DISCUSSIONS
33
 Cytotoxicity was decreased in the effluent of MABB
 After the spiking of CAS, cytotoxicity was increased in the effluent of reactors
 Antibiotics in the spiked feedstock could kill most of the nitrifying bacteria in CAS
 Cytotoxicity was increased after the addition of GAC to each reactor
250 300 350
Wastewater Treatment Groups
CHOCellMeanCytotoxicityIndexValue
(LC50
-1
)(10
3
)±SE
<----LessToxic------MoreToxic---->
0.1
1
10
100
1000
Sam
ple
4Sam
ple
5Sam
ple
12Sam
ple
13Sam
ple
14
Sam
ple
15
Sam
ple
16Sam
ple
24
Sam
ple
25
Sam
ple
26Sam
ple
27
LPAM
from
top manure pit
MABB effluent w/o GAC (top)
LPAM
from
bottom
manure pit
MABB effluent w/o GAC (bottom)
MABB effluent w/ GAC
CAS effluent w/o GAC
CAS effluent w/ GAC
Lagoon wastewater
Spiked LPAM
from
bottom
pit
MABB effluent w/ GAC (Spiked)
CAS effluent w/ GAC (Spiked)
YData
0
10
20
30
40
50
1. Algal-bacterial bioreactor captured >65% of LPAM organics in one cycle and MABB is more
energy effective process than CAS with lower aeration & free light energy
2. Algal-bacterial bioreactor captured > 98.4% of NH4
+-N and > 44% of TN from LPAM in one
cycle, and the removal increased with the addition of GAC
3. Granular Activated Carbon (GAC) can protect and stabilize the reactor from shock loading
4. Algal-bacterial bioreactor removed > 98.2% of estrogenic hormones from LPAM
5. GAC can accelerate & increase the removal of hormones in MABB & CAS
6. Activation of conjugated hormones might increase hormone concentrations in CAS without
GAC
7. Low & high CECs spiking in bioreactors were tested for STELLA modeling, and GAC
contribute to increase the removal of E1 & E2 in each MABB & CAS reactor
CONCLUSIONS
35
INTRODUCTION
Properties 17β-estradiol 17α-estradiol Estrone Estriol Florfenicol
Used abbreviation E2 EE2 E1 E3 FF
Class Steroid Steroid Steroid Steroid Antimicrobial
Cas registry number 50-28-2 57-63-6 53-16-7 50-27-1 73231-34-2
Molecular weight (g/mol) 272.3 296.4 270.4 288.4 358.21
Vapor pressure (Pa) 3 x 10-8
6 x 10-9
3 x 10-8
9 x 10-13
Negligible
Water solubility
(20°C, ppm)
3.9 - 13.3 4.8 0.8 - 12.4 3.2 - 13.3
over 400mg/L at pH >
5.5
pKa 10.5 - 10.7 10.21 10.3 - 10.8 10.4 9.03
log Kow 3.1 - 4.0 3.67, 4.15 3.1 - 4.0 2.6 - 2.8 2.36
Molecular formula C18H24O2 C20H24O2 C18H22O2 C18H22O3 C12H14Cl2FNO4S
Structure
Characteristics of emerging contaminants
Transformation pathways of estrogenic hormones
• Transformation and breakdown of hormones
under hydrothermal processes
• To understand removal of hormones in
hydrothermal processes, we need to know the
change of each concentration of hormones
Proposed transformation pathway of estrogenic hormones (Lee & Liu 2002; Hutchins et al., 2007)
36
Small batch reactor
• Optimization of Hydrothermal processes for CECs removal & Energy
• HTL/CHG/Combined HTL & CHG
• Efficiency of CECs removal & Energy recovery
• TotalVolume (ml): 40
• WorkingVolume (ml): 20
• Organic content (%): 25 ~ 30
Connector
Body: reactor
Gas inlet
Gas control valve
MATERIALS & METHODS
MATERIALS & METHODS
37
Analytical methods
37
PHWW/PCWW samples Centrifugation Extraction
Evaporation & concentrationGC/MS analysis
ng/L level at ISTC
Figure. 2 Flow diagram of the samples preparation and analytical methods of estrognic hormones
RESULTS & DISCUSSIONS
38
 Cytotoxicity: 250 ˚C and 300 ˚C < 350˚C
 Toxicity in PHWW is proportional to temperature
 Higher energy yield shows less cytotoxicity
 Modification of HTL conditions may affect the cytotoxicity of PHWW
Figure 2. CHO cell cytotoxicity index values for each PHWW sample
250 300 350
250 ˚C 300 ˚C 350 ˚C
More toxic
39
CONCLUSIONS
1. Highest Bio-crude oil yields of HTL at 300˚C /60 min
2. Hormones removal is more sensitive to Reaction time than temperature
3. 300 ˚C /60 min is effective operating condition for HTL to provide simultaneous
bioenergy production and removal of hormones, COD and cytotoxicity
4. Chrome, Arsenic, Zinc, Cadmium, and Lead were removed up to 99.6% removal
after HTL
HTL
CHG
1. Highest Bio-crude oil yields of HTL at 300˚C /60 min
2. Removal of CECs is sensitive to temperature in CHG
3. Ra-Ni was the most effective catalyst to remove estrogenic hormones
4. Amount of catalyst doesn’t affect the removal of hormones
5. Ru & Ru/NaOH shows the highest COD removal
Acknowledgement
Project team
• Dr. Lance Schideman, Ph.D., P.E.
• Dr. Yuanhui Zhang, Ph.D.
• Dr. Michael Plewa
• Peng Zhang
Illinois Sustainable Technology Center
Agricultural & Biological Engineering
Crop Science
Agricultural & Biological Engineering
• Funding: United States Department of Agriculture (USDA)/NIFA/Grant 11332987
41
42
Antibiotics
(FDA, 2009; Mellon M, 2001)
 Antibiotics resistant bacteria develop from exposure to low-levels of antibiotics
& life threatening infections (Wise et al., 1998: Schuh et al., 2011)
 30 ~ 90% drugs are excreted in urine & feces (Sarmah et al., 2006, Berge et al., 2006)
 Spending for antibiotics infections was increased 10 times from 1998 to 2009
(Infectious Disease Society of America)
80%
Antibiotics usage for livestock
1834 tons
14,266 tons
INTRODUCTION
43
Estrogenic compounds
 Major source: farm animals & humans (Shore et al., 1993; Raman et al., 2004)
 Annual excretion from farm animal: 41 tons in the USA (Lange et al., 2002)
 Commonly detected compounds: estrone (E1) & 17b-estradiol (E2) (Nichols et al., 1997)
 Adverse effects to reproductive system with E2 (10~ ng/L) (Routledge et al., 1998; Schuh et al., 2011)
 Reduced reproductive abilities & Feminization of aquatic species
o Male fish feminizationo Antibiotics in the drinking water
INTRODUCTION
MATERIALS & METHODS
44
Detailed Analytical methods: Sample prep
Flow diagram of the sample preparation method for the analysis of estrogenic hormones by ELISA and GC/MS
44

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Characterizing The Fate And Transport Of Chemicals Of Emerging Concern (CEC’s) From Animal Manures During Waste To Energy Processes

  • 1. Dr. Lance Schideman, Dr. Yuanhui Zhang, Dr. Micheal Plewa, John Scott Young-Hwan Shin, Peng Zhang, Justin Pals University of Illinois at Urbana - Champaign 1 Characterizing the fate and transport of bioactive chemicals of emerging concern (CECs) from animal manure during waste-to-energy processes
  • 2. Problem/Opportunity Statement 2 Manure can be viewed as a problem…  Excess nutrient runoff and spills can lead to eutrophication and hypoxia  Hormones can lead to endocrine disruption (e.g., fish feminization)  Antibiotics can lead to antibiotic resistance (80% for livestock) Manure can be viewed as an opportunity…  Big supply- 50 to 150 million dry tons/yr  Manure organics have a large energy content (1-2 Quadrillion BTU)  Non-potable water reuse potential  Liquid portion of animal manure (LPAM) ~1 Billion tons/yr  Nutrients can be used to grow additional bioenergy feedstocks  Manure nutrients reduce cost & CO2 emissions for synthetic fertilizers Antibacterial Drug Use (FDA, 2009)
  • 3. Livestock animals Feeding with antibiotics Storage of livestock manure (Pit or Lagoon) Manure spreading in the field River or Lake water Fish feminization Antibiotic resistant infection Runoff/Drainage/flooding from soil to surface water Antibiotics, Antibiotic resistant bacteria, and hormones o Integrated manure management and bio-energy recovery system can interrupt transport of CECs and thus reduce negative effects on the health of humans & ecosystems INTRODUCTION How CECs in the livestock manure can affect health of humans & ecosystems? Interrupt transport of CECs with Waste-to- energy system
  • 4. Overall process diagram for integrated waste to energy system 4 a) swine manure storage, b) LPAM production, c) biomass production, and d) hydrothermal biomass conversion processes. a) b) c) d)
  • 5. RESEARCH TOPICS & OBJECTIVES 5 Characterize CECs in the liquid portion of animal manure (LPAM) Fate of CECs in biological & adsorptive water treatment processes Mixed algal/bacterial bioreactor (MABB) Conventional activated sludge (CAS) With and without granular activated carbon (GAC) incorporated Fate of CECs in hydrothermal biofuel conversion processes Hydrothermal liquefaction (HTL) biomass to bio-crude oil Catalytic hydrothermal gasification (CHG) biomass to syn-gas HTL of biomass & CHG of HTL-wastewater Dynamic process modeling describing the fate of bioactive CECs
  • 6. 6 Operating conditions for bioreactors Mixed Algal- Bacterial Bioreactor (MABB) Conventional Activated Sludge Bioreactor (CAS) Reactor type Sequencing Batch Reactor Sequencing Batch Reactor Operating Volume (gal) 50 50 Light intensity (µmol photons/m2/s) 350 - Temperature (˚C) 18 16 Aeration rate (L/min) 6 11 Organic Loading Rate (mg/L) 48.6 - 571 48.6 - 571 HRT (day) 1- 4 1- 4 SRT (day) 25 – 30 25 - 30 Fill volume ratio (VF/VT, %) Estrogen Spike Conc(mg/L) 50 1.3 – 396 50 1.3 – 396 MATERIALS & METHODS- Capture of bioactive CECs MABB
  • 7. 7  Estrogens were well captured in both bioreactors  84.3% - 99.9% removal  MABB had slightly higher average removal than CAS  + 5.1 % removal  Reactors with GAC had slightly higher average removal  + 4.2 % removal  % Removal very similar during high and low spiking events  Used for STELLA modeling RESULTS & DISCUSSION- Capture of bioactive CECs 0 20 40 60 80 100 120 E2%removal(Ce/C0) Low spiking HI spiking
  • 8. Hydrothermal liquefaction (HTL) directly converts wet biomass into crude oil 8 Gas Product Post-HTL WW Oil Product Solid Residue Demonstrated HTL Feedstocks Reactor High T:200 – 350 oC High Pressure : 80 – 120 atm Municipal sludge Manure Algae Crop residues Woody materials Eout : Ein > 3:1 at lab-scale (% solids =20%) Eout : Ein > 10:1 w/ heat exchangers in commercial applications
  • 9. HTL successfully converted captured LPAM organics to bio-crude oil • Biomass % solids = 20%, • HHV of biomass (dry) = 14,140 kJ/kg • Optimal operating condition was 300 oC & 60 min reaction time • Oil HHV = 31,426 kJ/kg • Energy recovery = 80% 0% 10% 20% 30% 40% 50% 60% 70% 200 60 250 30 250 60 300 30 300 60 350 30 350 60 Bio-crude oil and solid residue yield of LPAM biomass via HTL oil solid residue
  • 10. RESULTS & DISCUSSION- HTL destruction of bioactive CECs 10 0 20 40 60 80 100 120 %Removal E2 removal E1 removal  Most HTL operating conditions provide high % removal of hormones  300 ˚C / 60min showed more removal of hormones than 300 ˚C / 30min  Removal was more sensitive to Reaction time than temperature % Removal of E1 and E2 under various Hydrothermal Liquefaction conditions
  • 11. RESULTS & DISCUSSION- CHG destruction of bioactive CECs 11  All CHG conditions provided high % removal of E1 & E2 ( > 99% removal)  Higher than 450 ˚C, more than 99.87% of E1 and E2 removed  CHG Removal of CECs was more sensitive to temperature than retention time % Removal of E1 and E2 during the CHG processes for different operating conditions 97.5 98.0 98.5 99.0 99.5 100.0 100.5 %Removal E1 removal E2 removal
  • 12. RESULTS & DISCUSSION- Destruction of Florfenicol by HTL 12  Detection limit of Florfenicol (FF) was 0.05 mg/L in high resolution GC/MS  99.9% of FF in DI water and LPAM were removed with HTL at 300 ˚C and 30 min Removal of Florfenicol in the HTL process with DI water and LPAM Florfenicol in LPAM (Post-HTL) Florfenicol in DI water (Pre-HTL) Florfenicol in LPAM (Pre-HTL) Florfenicol in DI water (Post-HTL)
  • 13. RESULTS & DISCUSSION- Florfenicol (FF) breakdown products 13  4-MSB was the predominant FF breakdown product in the Post–HTL wastewater (5-30%)  4-MSAP and MPS were also detected at higher temperature
  • 14. RESULTS & DISCUSSION- Antibiotic resistance effects 14  Sensitive Antibiotic Resistance Assay was developed  Antibiotic Resistance occurred when the positive and negative control varied  LPAM contributed to antibiotic resistance  HTL & CHG processes eliminated the capacity of LPAM to induce antibiotic resistance Antibiotic Resistance fluctuation assay before & after HTL or CHG LB Negative control LB Positive control MABB effluent Negative control MABB effluent Positive control PHWW (MABB Biomass) PCWW (PHWW w/ MABB Biomass) PCWW (MABB Biomass) PHWW (CAS Biomass) PCWW (PHWW w/ CAS Biomass) PCWW (CAS Biomass) MeanNumberAntibioticResistanceE.coliWells (ResistantJackpotWells/96-WellMicroplate) 0 10 20 30 40 50
  • 15. Comparison of different bio-energy processes • HTL-CHG process was most favorable in terms of net energy yield, assuming heat exchange at 80% efficiency, • Additional CHG(600C) after HTL can recovery the energy in PHWW at about 7% of total biomass • Biomass not fully converted to energy products (oil and gas) in direct CHG process • Significant decrease in oil yield (40% for HTL, 15% for direct CHG) and thus overall energy yield HTL HTL-CHG Direct CHG Reaction condition 300C 60min HTL: 300C 60min HTL: 300C 60min 400C 60 minCHG: 400C 60min CHG: 600C 60min Oil energy yield, kJ/g wet BM 2.45 2.45 2.45 0.98 Gas energy yield, kJ/g wet BM n.a. 0.22 0.59 0.34 Net total energy yield, kJ/g wet BM 2.26 2.24 2.46 1.00 Final Aq Product COD, mg/L 96,000 20,000 3,000 52,000 Net Energy recovery 80% 79% 87% 35%
  • 16. 16 Dynamic System Modeling with STELLA A process Internal Flows External Input Output E2-Energy process model construction simulating CECs flow Waste Pretreatment Excretion Bioenergy Conversion (HTL) Adsorption and Biological Treatment CHG CHG conversion Biomass Harvest HTL destruction/ transformation Biological degradation/uptake Physical/chemical adsorption Discharged in treated WW
  • 17.  > 99.9% of hormones can be removed in the integrated treatment system RESULTS & DISCUSSION- Modeled System CEC removal Bottom slurry Screened slurry Bag filtraion LPAM (MF) MABB eff MABB eff_recycle 1 MABB eff_recycle 2 MABB eff_recycle 3 MABB eff_recycle 4 %RemovalofE2 0 20 40 60 80 100 120 E2concentration(ng/L) 0 2000 4000 6000 8000 10000 12000 14000 16000 18000 % removal % removal of each step E2 concentration (ng/L)
  • 18. Conclusions  LPAM: Liquid Portion of Animal Manure containing nutrients and dissolved organics (including bioactive CECs) can become a valuable resource  >98% of CECs in LPAM can be captured w/ an adsorptive-biological reactor  Using algae and GAC enhance the uptake of organics  >99.9% CEC removal possible with optimized multi-step system  > 85% of the energy content of LPAM can be harvested by hydrothermal biofuel conversion processes  Antibiotics are broken down sufficiently by hydrothermal processes to eliminate the development of antibiotic resistance  Effluent LPAM is cleaned up significantly for improved surface water quality or potential water reuse applications 2
  • 19. 19
  • 20. 20
  • 21.  Range of E2 & E1 in swine manure slurry (UIUC) was lower than previous studies (Fine et al., 2003; Hanselman et al., 2003; Irwin et al., 2001; Raman et al., 2004; Shappell et al., 2007; Sim et al., 2011; Singh et al., 2013).  Spiked concentrations of E1 & E2 were in the range of practical concentration of hormones. E1 & E2: 1.3 µg/L (low spiking) < real LPAM << 396 µg/L (High spiking) << 3214 µg/kg 0 500 1000 1500 2000 2500 3000 3500 concentration(μg/kg) E2 in slurry E1 in slurry E2: 27.26 ±0.58 E1: 25.95 ±0.59 RESULTS & DISCUSSIONS Occurrence of hormones
  • 22. 22 Finishing Farrowing Gestation Lagoon ⒶⒷ Ⓒ INTRODUCTION Sampling points of swine manure at SRC (Swine Research Center at UIUC)
  • 23. Conventional Pig production cycle INTRODUCTION <Source: http://www.epa.gov/agriculture/ag101/porkglossary.html> Pork glossary a) Breeding: producing offspring b) Gestation: period when sow is pregnant c) Farrowing: period from birth to weaning d) Weaning: removal of piglets from their mother e) Piglet: young pig f) Finishing: growing piglets to market weight g) Heat: estrous period of sow h) Slaughter: killing pigs i) Boar: Castrated male pigs (a) (b) (c) (d) (e) (f)(g) - Fresh solid, urine, slurry, & LPAM Finishing Reproduction cycle of sows Life cycle of growing pigs Breeding * Sampling points 23 Gestation - Manure slurry from Top & sludge layer at finishing pit (d) (h)
  • 24. MATERIALS & METHODS 24 Analytical methods 24 Swine manure samples Centrifugation Extraction Evaporation & concentrationELISA or GC/MS analysis at ng/L level Figure. 2 Flow diagram of the samples preparation and analytical methods of estrogenic hormones
  • 25. 0 50 100 150 200 250 300 350 400 450 500 0 1000 2000 3000 4000 5000 6000 7000 TP&TN(mg/L) sCOD(mg/L) Date sCOD TN TP  The water quality parameters of LPAM showed seasonal variation based on temperature  sCOD,TN &TP of 6 different LPAM increased with temperature of manure storage  sCOD of LPAM was adjusted to 4,000 mg/L to make bioreactor feedstock RESULTS & DISCUSSIONS Water quality analysis
  • 26.  Chinese Hamster Ovary (CHO) cell assay (Hsie AW, 1975; Wagner et al., 1998) used to investigate cytotoxicity of LPAM  Organics in LPAM has a cytotoxicity index of 2.38 which is less toxic than raw municipal wastewater (8.8), primary effluent (3.8) and secondary wastewater effluent (2.64) RESULTS & DISCUSSIONS 8.8 3.8 3.3 2.64 2.38 0 1 2 3 4 5 6 7 8 9 10 UCSD Centrate UCSD influent Primary effluent Secondary Eflluent LPAM CytotoxicityIndex(LC50)-1(10)3 Figure. 5 Comparison of Cytotoxicity index for LPAM & municipal wastewater Figure. 4 Cytotoxicity of LPAM organics via CHO cell assay
  • 27.  Sorption onto biomass (E2 >90%) is dominant  Desorption of E2 from the biomass is insignificant (Andaluri et al., 2012)  Biotransformation could be occurred in the bioreactors by microorganisms INTRODUCTION Removal of estrogenic hormones during biological processes Proposed transformation pathway of estrogenic hormones (Lee & Liu 2002; Hutchins et al., 2007)
  • 28. 28  MABB shows similar sCOD & higher TP removal than CAS with lower aeration Aeration rate: CAS (11 LPM) & MABB (7 LPM)  60 ~ 65% of sCOD was removed within 3 hours of operation in each reactor  TP removal ratio of each reactor was MABB ( 16.9%) & CAS (4.47%) in 3 hours 0 50 100 150 200 250 0 30 60 90 120 150 180 210 sCOD(mg/L) Time (min) CAS MABB 0 5 10 15 20 25 30 0 30 60 90 120 150 180 TP(mg/L) Time (min) MABB CAS RESULTS & DISCUSSIONS Profile of sCOD & TP removal in one cycle of MABB & CAS
  • 29. 29 RESULTS & DISCUSSIONS Profile of hormones removal in one cycle of MABB operation  Within 11 hours, 88 ~ 96 % of total hormones were removed in both of reactors  GAC addition accelerate & increase the removal of hormones in the MABB  % removal of total hormones in 1 cycle was 98.2 ~ 99.4% 0 100 200 300 400 500 600 700 0 500 1000 1500 2000 2500 concentration(μg/L) Time (min) E2 E1 E3 Total EE2 0 100 200 300 400 500 600 700 0 500 1000 1500 2000 2500 concentration(μg/L) Time (min) E2 E1 E3 Total EE2 Figure. 7 Removal of estrogenic hormones in mixed algal-bacterial bioreactor without Granular Activated Carbon (GAC) Figure. 6 Removal of estrogenic hormones in mixed algal-bacterial bioreactor with Granular Activated Carbon (GAC)
  • 30.  sCOD removal from LPAM ranged from 58.4% to 80.9% with increasing organic loading from 42.3 to 152 mg/L/day  High Shock loading w/ GAC shows fast recovery (450 mg/L << 2370 mg/L) ≈≈ 0 200 400 600 800 1000 1200 1400 1600 1800 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 COD(mg/L) Time (d) COD inf COD eff Phase I-A Phase I-B Phase II Phase III Shock loading 450 & 2370 mg/L Low LPAM loading Avg OLR: 42.3 mg/l/d Mid LPAM loading Avg OLR: 152 mg/l/d Low LPAM loading Avg OLR: 46.5 mg/l/d 68% removal 58.4% removal 80.9% removal Reactor broken RESULTS & DISCUSSIONS Long – term operation of Mixed algal-bacterial bioreactor
  • 31. Phase I-B Phase II % removal NH4 +-N: 98.4 % removal TN: 41.1 NH4 +- N: 94.8 % removal TN: 43.9 NH4 +-N: 85.8  Total Nitrogen (415 ~ 833mg/L) of LPAM feedstock was removed up to 44% in the effluent of MABB  NH4 +-N (113.5 mg/L ) of LPAM feedstock were removed up to 98.4% in the effluent of MABB Long – term operation of Mixed algal-bacterial bioreactor RESULTS & DISCUSSIONS
  • 32. 32  Low & high spiking in bioreactors were tested for STELLA modeling  Similar % removal of hormones except E1 in MABB w/o GAC  % removal of E1 in algal pre-treatment and HTL ranged from 43.63 to 76.20% (Pham et al., 2012) RESULTS & DISCUSSIONS 0 20 40 60 80 100 120 E1%removal(Ce/C0) Low spiking HI spiking 0 20 40 60 80 100 120 E2%removal(Ce/C0) Low spiking HI spiking
  • 33. RESULTS & DISCUSSIONS 33  Cytotoxicity was decreased in the effluent of MABB  After the spiking of CAS, cytotoxicity was increased in the effluent of reactors  Antibiotics in the spiked feedstock could kill most of the nitrifying bacteria in CAS  Cytotoxicity was increased after the addition of GAC to each reactor 250 300 350 Wastewater Treatment Groups CHOCellMeanCytotoxicityIndexValue (LC50 -1 )(10 3 )±SE <----LessToxic------MoreToxic----> 0.1 1 10 100 1000 Sam ple 4Sam ple 5Sam ple 12Sam ple 13Sam ple 14 Sam ple 15 Sam ple 16Sam ple 24 Sam ple 25 Sam ple 26Sam ple 27 LPAM from top manure pit MABB effluent w/o GAC (top) LPAM from bottom manure pit MABB effluent w/o GAC (bottom) MABB effluent w/ GAC CAS effluent w/o GAC CAS effluent w/ GAC Lagoon wastewater Spiked LPAM from bottom pit MABB effluent w/ GAC (Spiked) CAS effluent w/ GAC (Spiked) YData 0 10 20 30 40 50
  • 34. 1. Algal-bacterial bioreactor captured >65% of LPAM organics in one cycle and MABB is more energy effective process than CAS with lower aeration & free light energy 2. Algal-bacterial bioreactor captured > 98.4% of NH4 +-N and > 44% of TN from LPAM in one cycle, and the removal increased with the addition of GAC 3. Granular Activated Carbon (GAC) can protect and stabilize the reactor from shock loading 4. Algal-bacterial bioreactor removed > 98.2% of estrogenic hormones from LPAM 5. GAC can accelerate & increase the removal of hormones in MABB & CAS 6. Activation of conjugated hormones might increase hormone concentrations in CAS without GAC 7. Low & high CECs spiking in bioreactors were tested for STELLA modeling, and GAC contribute to increase the removal of E1 & E2 in each MABB & CAS reactor CONCLUSIONS
  • 35. 35 INTRODUCTION Properties 17β-estradiol 17α-estradiol Estrone Estriol Florfenicol Used abbreviation E2 EE2 E1 E3 FF Class Steroid Steroid Steroid Steroid Antimicrobial Cas registry number 50-28-2 57-63-6 53-16-7 50-27-1 73231-34-2 Molecular weight (g/mol) 272.3 296.4 270.4 288.4 358.21 Vapor pressure (Pa) 3 x 10-8 6 x 10-9 3 x 10-8 9 x 10-13 Negligible Water solubility (20°C, ppm) 3.9 - 13.3 4.8 0.8 - 12.4 3.2 - 13.3 over 400mg/L at pH > 5.5 pKa 10.5 - 10.7 10.21 10.3 - 10.8 10.4 9.03 log Kow 3.1 - 4.0 3.67, 4.15 3.1 - 4.0 2.6 - 2.8 2.36 Molecular formula C18H24O2 C20H24O2 C18H22O2 C18H22O3 C12H14Cl2FNO4S Structure Characteristics of emerging contaminants Transformation pathways of estrogenic hormones • Transformation and breakdown of hormones under hydrothermal processes • To understand removal of hormones in hydrothermal processes, we need to know the change of each concentration of hormones Proposed transformation pathway of estrogenic hormones (Lee & Liu 2002; Hutchins et al., 2007)
  • 36. 36 Small batch reactor • Optimization of Hydrothermal processes for CECs removal & Energy • HTL/CHG/Combined HTL & CHG • Efficiency of CECs removal & Energy recovery • TotalVolume (ml): 40 • WorkingVolume (ml): 20 • Organic content (%): 25 ~ 30 Connector Body: reactor Gas inlet Gas control valve MATERIALS & METHODS
  • 37. MATERIALS & METHODS 37 Analytical methods 37 PHWW/PCWW samples Centrifugation Extraction Evaporation & concentrationGC/MS analysis ng/L level at ISTC Figure. 2 Flow diagram of the samples preparation and analytical methods of estrognic hormones
  • 38. RESULTS & DISCUSSIONS 38  Cytotoxicity: 250 ˚C and 300 ˚C < 350˚C  Toxicity in PHWW is proportional to temperature  Higher energy yield shows less cytotoxicity  Modification of HTL conditions may affect the cytotoxicity of PHWW Figure 2. CHO cell cytotoxicity index values for each PHWW sample 250 300 350 250 ˚C 300 ˚C 350 ˚C More toxic
  • 39. 39 CONCLUSIONS 1. Highest Bio-crude oil yields of HTL at 300˚C /60 min 2. Hormones removal is more sensitive to Reaction time than temperature 3. 300 ˚C /60 min is effective operating condition for HTL to provide simultaneous bioenergy production and removal of hormones, COD and cytotoxicity 4. Chrome, Arsenic, Zinc, Cadmium, and Lead were removed up to 99.6% removal after HTL HTL CHG 1. Highest Bio-crude oil yields of HTL at 300˚C /60 min 2. Removal of CECs is sensitive to temperature in CHG 3. Ra-Ni was the most effective catalyst to remove estrogenic hormones 4. Amount of catalyst doesn’t affect the removal of hormones 5. Ru & Ru/NaOH shows the highest COD removal
  • 40. Acknowledgement Project team • Dr. Lance Schideman, Ph.D., P.E. • Dr. Yuanhui Zhang, Ph.D. • Dr. Michael Plewa • Peng Zhang Illinois Sustainable Technology Center Agricultural & Biological Engineering Crop Science Agricultural & Biological Engineering • Funding: United States Department of Agriculture (USDA)/NIFA/Grant 11332987
  • 41. 41
  • 42. 42 Antibiotics (FDA, 2009; Mellon M, 2001)  Antibiotics resistant bacteria develop from exposure to low-levels of antibiotics & life threatening infections (Wise et al., 1998: Schuh et al., 2011)  30 ~ 90% drugs are excreted in urine & feces (Sarmah et al., 2006, Berge et al., 2006)  Spending for antibiotics infections was increased 10 times from 1998 to 2009 (Infectious Disease Society of America) 80% Antibiotics usage for livestock 1834 tons 14,266 tons INTRODUCTION
  • 43. 43 Estrogenic compounds  Major source: farm animals & humans (Shore et al., 1993; Raman et al., 2004)  Annual excretion from farm animal: 41 tons in the USA (Lange et al., 2002)  Commonly detected compounds: estrone (E1) & 17b-estradiol (E2) (Nichols et al., 1997)  Adverse effects to reproductive system with E2 (10~ ng/L) (Routledge et al., 1998; Schuh et al., 2011)  Reduced reproductive abilities & Feminization of aquatic species o Male fish feminizationo Antibiotics in the drinking water INTRODUCTION
  • 44. MATERIALS & METHODS 44 Detailed Analytical methods: Sample prep Flow diagram of the sample preparation method for the analysis of estrogenic hormones by ELISA and GC/MS 44

Notas del editor

  1. More energy than solar and geothermal, similar to Wind
  2. This is the pathways of CECS transport from manure that can affect humans health & ecosystems in the conventional livestock manure management system. (Add Lagoon as manure storage & treatment). Land application of livestock wastes may result in the loading of hormones and their metabolites to agricultural fields, which may subsequently enter the aquatic environment by leaching and/or runoff. So, to disconnect the transport of CECs to ecosystems, we are going to suggest the integrated manure management system with algal bioreactor & hydrothermal bioenergy production system.
  3. As you see in the overall process diagram, the manure management system were made up of LPAM characterization, biological organics & nutrients extraction from the LPAM, and hydrothermal wastes to energy process.
  4. Light amount : 21 ~ 34.4 micromoles photons/s Energy for CAS was 22 Watt (aeration) and MABB was 11 (light)+14 (aeration) = 25 But, if we use the free solar energy, MABB can be more energy effective than CAS (14 MABB > 22 CAS)
  5. Light amount : 21 ~ 34.4 micromoles photons/s Energy for CAS was 22 Watt (aeration) and MABB was 11 (light)+14 (aeration) = 25 But, if we use the free solar energy, MABB can be more energy effective than CAS (14 MABB > 22 CAS)
  6. How can we resolves this bottleneck to realize full potential of algae for due purpose of biofuel production and wastewater treatment? Here, we are proposing an innovative system: Environment Enhancing Energy, One of the key point is hydrothermal liquefaction, or HTL here. It is basically a pressure cooker that can converts various of biomass in to biocrude oil. It is actually how the petroeoum formed in the mother nature. Natroleum is dead biomass buried under ground expeirience high temprature, high pressure for thousands thousands of years and boom, we have petrolem. HTL is just mimicking the process, but just in a accelerated speed, 30 minutes. And the good thing about the process is that it is not sensitive to feedstock, and it has been proved to be able to convert various of low lipid biomass into usable fuel. In addition, it can process wet biomass. This lead to a possitive energy balance,the result in our lab showed that when we are processing algae slurry with a solid content of 20%, the energy conent in the biocrude oil over the enrgy for heating is about 3 to 1. Our industrial partery achieved 10:1 in large scale production when heat exchange is utilzed. By using this technique, we can just grow what ever algae that can grow fast in wasteater and convert them into fuel, and minimize the energy input for drying biomass. In addition, we are also proposing nutrient recycling. So excpet oil product, there are also other by-product, including aqueous product, we call it post-HTL waseater. This is a wastestream with superconcentrated nutreint, and it can be send back to the algae cultivation system to support multiple cycles of algae growth. Mother nature
  7. Add energy recovery.
  8. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  9. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  10. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  11. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  12. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  13. Still keep the denominator as per g wet BM, as it’s only specific to this moisture content. If the moisture content is different, then organics’ concentration and the energy in the PHWW is different.
  14. First of all, Up to 70% (11,200 tons) of antibiotics in USA used to food animals (FDA, 2009; Mellon M, 2001) Why E1 & E2 : commonly detected compounds and hardly removable Antibiotics: widely used antibiotics and swine farm & commonly detectable Why LPAM? We had previous study about the impact of solid manure on CECs LPAM can be used as a potential source for water reuse
  15. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  16. Before starting to talk about characterization, we need to know what is the main producer of natural steroid hormones in the farming system. This is a conventional swine farming system, and SRC also has similar system. The swine manure samples were taken from the farrowing barn and finishing barn because we can expect high production of estrogenic hormones from these swine barn that has pregnant sows and young female pigs.
  17. This is about a list & description of samples for E2 characterization and isotherm test between biomass and E2. Graphitized carbon black: graphitized carbon black column that has exterme affinity for organic polar and non-polar column from both polar and non-polar matrices Florisil column: magnesium silicate base material to minimize the matrix effects by cleaning up the matrices
  18. Understand chemically & mechanically Seasonal reason: When the season start to change from winter to summer, temperature is going to be increased. This can boost the anaerobic digestion in the manure pit and solids can be degraded into soluble organics and nutrients.
  19. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  20. Compare the removal efficiency of E2 between MABB and CAS According to the graph, the E2 concentration was decreased to 1400 ng/L after 1min operation without GAC. But, after adding GAC into the reactor, E2 was decreased to 700 ng/L in 1 min and GAC was contributed to increase the E2 removal up to 68% (76 to 24 ng/L) GAC addition make E2 removal faster and more than without GAC addition into the reactor E2 conc w/o GAC after 1 min (ng/L): 1370.5 E2 conc w/o GAC after 1 cycle (11hr) (ng/L): 76.1 % removal of E2 in 1 cycle (%): 98.15 E2 conc w/ GAC after 1 min (ng/L): 689 E2 conc w/ GAC after 1 cycle (11hr) (ng/L): 24.2 % removal of E2 in 1 cycle (%): 99.41 Within 15 min, 88 ~ 96 % of the E2 was removed
  21. 60 ~ 65% sCOD removal for both Final concentration of TP were (17 mg/L MABB) & (23 mg/L in CAS)
  22. According to the graph, the E2 concentration was decreased to 1400 ng/L after 1min operation without GAC. But, after adding GAC into the reactor, E2 was decreased to 700 ng/L in 1 min and GAC was contributed to increase the E2 removal up to 68% (76 to 24 ng/L) GAC addition make E2 removal faster and more than without GAC addition into the reactor E2 conc w/o GAC after 1 min (ng/L): 1370.5 E2 conc w/o GAC after 1 cycle (11hr) (ng/L): 76.1 % removal of E2 in 1 cycle (%): 98.15 E2 conc w/ GAC after 1 min (ng/L): 689 E2 conc w/ GAC after 1 cycle (11hr) (ng/L): 24.2 % removal of E2 in 1 cycle (%): 99.41 Within 15 min, 88 ~ 96 % of the E2 was removed
  23. Light amount : 21 ~ 34.4 micromoles photons/s Energy for CAS was 22 Watt (aeration) and MABB was 11 (light)+14 (aeration) = 25 But, if we use the free solar energy, MABB can be more energy effective than CAS (14 MABB > 22 CAS)
  24. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  25. Chemical kinetics of hormones breakdown in the hydrothermal processes – Use blank
  26. 96% COD removal ratio & Effluent COD is 200 mg/L => will increase the feeding rate
  27. This is about a list & description of samples for E2 characterization and isotherm test between biomass and E2. Graphitized carbon black: graphitized carbon black column that has exterme affinity for organic polar and non-polar column from both polar and non-polar matrices Florisil column: magnesium silicate base material to minimize the matrix effects by cleaning up the matrices
  28. The E2 concentration of fresh urine, feces, and slurry were investigated. As you see in the graph, the E2 concentration in the urine is 10000ng/L, in the feces 15000 ng/L and in the slurry 11,300 ng/L that is little bit lower than the litreraure review data. I think that E2 in the feces is lower than I expected based on the assumption of most of E2 stick to solids. The estimation for low data is old & dried feces samples. I’m going to double check this data by sending samples to ISTC for GC/MS analysis.
  29. Light amount : 21 ~ 34.4 micromoles photons/s Energy for CAS was 22 Watt (aeration) and MABB was 11 (light)+14 (aeration) = 25 But, if we use the free solar energy, MABB can be more energy effective than CAS (14 MABB > 22 CAS)
  30. This is about a list & description of samples for E2 characterization and isotherm test between biomass and E2. Graphitized carbon black: graphitized carbon black column that has exterme affinity for organic polar and non-polar column from both polar and non-polar matrices Florisil column: magnesium silicate base material to minimize the matrix effects by cleaning up the matrices