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Final Presentation
BIODESIGN FOR REAL WORLD
3rd of June 2013
Jasmina Rubattel
Emilie Mussard
Nicolas Krischer
Romain Equey
Plan
—  Introduction
—  Aim
—  Motivation
—  Background researches
—  Coliform bacteria
—  Arsenic
—  Fluorescence
—  Legal framework
—  Decision
—  Design criteria
—  Prototype I: presentation and demo
—  Prototype II: presentation and demo
—  Data and analysis
—  Conclusions
—  Future directions
Introduction
•  Bachelor project
•  Team
Aim of the project
—  Build a sensor either for Arsenic or for Coliform bacteria detection
—  Sense a pathogen in water
—  Process information with a device
—  Real world application à go out of the lab
—  Build something accessible
—  More than just building a biodevice!
—  Open-source informations
—  Raise awareness about water quality
—  Learn how to work
—  As a group
—  With people from different backgrounds
—  Integrate different domains of studies
Motivation
The aims have been defined by our motivation as much as our
motivation was dependent of the aims!
—  Dispose of a new way to learn
—  No “knowledge feeding”
—  Participation, initiative, try, search, solve problems…
—  Connect different subject around one goal
—  Real world aspect
—  Do with what we have in terms of:
—  Knowledge
—  Materials
—  Possibilities
Background Researches
•  Coliform bacteria
•  Arsenic
•  Fluorescence
•  Legal framework
•  à Decision
Coliform bacteria: General informations
—  Gram-negative bacteria, ferment lactose
—  Found in nature and in feces of warm-blooded animals
—  Used for fecal contamination determination
—  Easy to culture, especially E.Coli
•  Most studied coliform
•  Found in the intestinal tract of animals
•  Mostly harmless, but some strains are
toxic
•  E.g. STEC that produces shiga-toxin,
found in ruminants gut
Coliform bacteria: intoxication & detection
— Symptoms of coliform intoxication:
—  Bloody diarrhea, vomiting
—  Complication: Hemolytic uremic syndrome (HUS)
—  HUS consists in clot formation, leading to:
—  blocked arteries à Ischemia
—  And destroyed red blood cells
— E.Coli detection:
—  Heterotrophic plate count (HPC) is commonly used, with varying
conditions (incubation, temperature, nutrient) in addition to other
tests
—  Water considered safe under 100 cfu/ml
—  It has some inconvenient, so other detection techniques are being
researched
Arsenic
— 33rd element of the periodic table,As
—  AsO3, arsenic trioxyde/arsenite: most common
form in the environment.
— Soluble àWater can be contaminated byArsenic
—  Industrial origin
—  Geological origin
Arsenic poisoning
—  Interfer with Krebs cycle (inhibits pyruvate conversion to
acetyl-coA)
—  As a slow poison, causes diseases
—  Skin diseases
—  Intestinal tract problems
—  Cancers
—  Maximum concentration advised byWHO: 10μg/L
—  Letal dose: 1mg/kg/day
—  Problem in Bangladesh and someAsian countries
Arsenic detection
—  Interest in detection:
—  Industrial devices
—  Academic research
—  Bacteria have a constitutive arsenite and arsenate detection
mechanism.
—  Expression of a specific membrane protein complex which
serves to pump the arsenite residues only when they are
present.
—  Use of this mechanism to engineer a biosensor
Legal framework
—  International framework
—  Precaution principle
—  Substantial equivalence principle
—  Switzerland: Protection of the environment and public health
—  Antibiotic resistance gene à Confinement à restrictions
—  Sample-holder:
—  Transport
—  3 layers
—  Waste gestion
—  It makes us aware of our responsibilities
—  It forces us to communicate
àWe were looking what we are allowed to do and we discover that the
legal demands forces us to think HOW to continue our research and
build our prototype.
Fluorescence
—  Emission of light by a substance that has previously been excited
by light at a specific wavelenght or by other electromagnetic
radiation.
—  Green fluorescent protein: excited at 395nm, emitting green light
at 509nm.
—  From jellyfishAequoreaVictoria
—  Used in biology for tracking
—  Expressed in the reporter bacteria after
having sensedArsenic
—  Measure: light intensity at a specific wavelenght
Decision: the choice of fluorescence
—  Do with what already exists, where the most informations are available.
—  Work with Bangalore: students, responsive.
—  Use fluorescence to detectArsenic via the bioreporter
—  Fluorescence can also be used to detect E.Coli
—  Based on intrisic fluorescence of bacteria components (in the UV range)
—  Amino-acids
—  Nucleic acids
Arsenic presence
E.Coli senseAs
Production of green
fluorescence:
measurable, proportional
toArsenic concentration
Activation of GFP gene
Design criteria
General:
•  Portability
•  Low-cost
•  Replicability
Fluorescence kit:
•  Light-source
•  Filter
•  Sample-holder
•  Receptor
•  Data analysis
Prototype I
•  Presentation
•  Demonstration
Typical Fluorometer
http://openwetware.org/wiki/Citizen_Science/Open_Fluorometer_Project/Resources
Detector
Light Source
Our fluorometer
LED
Emitting at a specific
wavelength
Sample
Detector
Detecting a specific
wavelength
Camera as a detector
—  Canon PowershotA530
—  CHDK (Canon hackers development kit)
Image Processing—  ImageJ, an open-source image processing software
Script
—  Fiji is similar to ImageJ, but allows to write scripts
—  Permits automation of image analysis
Tests of our device
—  FITC Dextran
—  Constitutively expressing-eGFP E.Coli
—  Arsenic biosensor
http://apb.tbzmed.ac.ir/Portals/0/Archive/Vol2No1/Pics/2/2.Fig2.jpg
Demonstration
Improvements
—  Addition of a battery and a switch
—  To avoid using anArduino as a simple battery
—  The LED can be individually turned on/off
—  Fixation of the camera in the device
—  Pictures more precise
—  Vertical position of the sample
—  To allow an easiest change between
different samples
Prototype II
•  Presentation
•  Demonstration
General Mechanisms
Quantification with the Photoresistance
•  More the light increases, more the resitance decreases so moreVout tends to equalVin
•  Inversely, more the light decreases, more the resistance increases so moreVout tends to be null.
•  Problem:The photoreistance isn’t enough sensitive.
Quantification with the light-to-
frequency device
330 Ω
Light to frequency device
5 V Sample holder
Arduino Analogic pin 5
Thanks for using the free edition of CircuitLab!
To upgrade, please visit www.CircuitLab.com/upgrade/
•  The mechanisms are the same, but only the quantifier is different
Calibration
•  Take measures with known arsenic concentrations.
•  Plot them into a graph.
•  Light = slope * concentration + const
•  Concentration = (light - const) / slope
Data and analysis
What we have done:
Prototype 1 with dextran
Prototype 1 with eGFP
Prototype 2 with dextran
Prototype 1 with arsenic biosensor
Prototype 2 with arsenic biosensor
Prototype 1 with dextran
0
50
100
150
200
250
0 0.02 0.04 0.06 0.08 0.1 0.12
Greenlightintensity[au]
Concentration of Dextran [g/L]
Prototype 1 with eGFP
y = 102.3x + 3.5759
R² = 0.99917
y = 1E+07x + 415889
R² = 0.99942
1
10
100
1000
10000
100000
1000000
10000000
0.000001 0.00001 0.0001 0.001 0.01 0.1 1
GreenLightintensity[au]
Sample dilution
MEAN mean x area
Linear (MEAN) Linear (mean x area)
Prototype 2 with dextran
0
2
4
6
8
10
12
14
16
0 10 20 30 40 50 60
Signal
dextran solution [ml]
Prototype 1 with arsenic biosensor
0
2
4
6
8
10
12
14
16
18
20
0 10 20 30 40 50 60 70 80 90 100
GreenLightIntensity[au]
Arsenite [µg]
Prototype 2 with arsenic biosensor
—  Failure!
Conclusion
Future directions
—  Experiment more our prototypes with arsenic biosensor
—  Learn how the different aspects interact
—  Improve the devices
—  Test LEDs
—  Test filters
—  Add lenses
—  Improve reception
—  Improve our prototypes
—  Improve CHDK to do the analysis
—  Redesign the box to be used with a smartphone, create an app
—  Many samples at the same time
Future directions: General reflexions
—  Sample holder
—  Size
—  Environment for bacteria activity
—  Change the fluorescent protein
—  Bigger difference between excitation and emission
—  Longer wavelenght = cheaper LEDs
—  Use another reporter than GFP?
—  Shorten reaction time
—  Another arsenic measuring way?
—  Living matter = many parameters to manage:
Bacteria number, temperature, phase, oxygen and nutrients, …
Thanks
—  Sachiko Hirosue
—  Robin Scheibler
—  Prof. Michaël Bensimon
—  Nina Buffi
—  José Artacho
—  Sabrina Leuenberger, Heinz Straessle, Charles Joye
—  Prof. Martial Geiser, FredericTruffer, Jean Iwanovski
—  Prof. Jan RoelofVan der Meer, Siham Beggah, Davide
Merulla

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2013 biodesign EPFL project summary

  • 1. Final Presentation BIODESIGN FOR REAL WORLD 3rd of June 2013 Jasmina Rubattel Emilie Mussard Nicolas Krischer Romain Equey
  • 2. Plan —  Introduction —  Aim —  Motivation —  Background researches —  Coliform bacteria —  Arsenic —  Fluorescence —  Legal framework —  Decision —  Design criteria —  Prototype I: presentation and demo —  Prototype II: presentation and demo —  Data and analysis —  Conclusions —  Future directions
  • 4. Aim of the project —  Build a sensor either for Arsenic or for Coliform bacteria detection —  Sense a pathogen in water —  Process information with a device —  Real world application à go out of the lab —  Build something accessible —  More than just building a biodevice! —  Open-source informations —  Raise awareness about water quality —  Learn how to work —  As a group —  With people from different backgrounds —  Integrate different domains of studies
  • 5. Motivation The aims have been defined by our motivation as much as our motivation was dependent of the aims! —  Dispose of a new way to learn —  No “knowledge feeding” —  Participation, initiative, try, search, solve problems… —  Connect different subject around one goal —  Real world aspect —  Do with what we have in terms of: —  Knowledge —  Materials —  Possibilities
  • 6. Background Researches •  Coliform bacteria •  Arsenic •  Fluorescence •  Legal framework •  à Decision
  • 7. Coliform bacteria: General informations —  Gram-negative bacteria, ferment lactose —  Found in nature and in feces of warm-blooded animals —  Used for fecal contamination determination —  Easy to culture, especially E.Coli •  Most studied coliform •  Found in the intestinal tract of animals •  Mostly harmless, but some strains are toxic •  E.g. STEC that produces shiga-toxin, found in ruminants gut
  • 8. Coliform bacteria: intoxication & detection — Symptoms of coliform intoxication: —  Bloody diarrhea, vomiting —  Complication: Hemolytic uremic syndrome (HUS) —  HUS consists in clot formation, leading to: —  blocked arteries à Ischemia —  And destroyed red blood cells — E.Coli detection: —  Heterotrophic plate count (HPC) is commonly used, with varying conditions (incubation, temperature, nutrient) in addition to other tests —  Water considered safe under 100 cfu/ml —  It has some inconvenient, so other detection techniques are being researched
  • 9. Arsenic — 33rd element of the periodic table,As —  AsO3, arsenic trioxyde/arsenite: most common form in the environment. — Soluble àWater can be contaminated byArsenic —  Industrial origin —  Geological origin
  • 10. Arsenic poisoning —  Interfer with Krebs cycle (inhibits pyruvate conversion to acetyl-coA) —  As a slow poison, causes diseases —  Skin diseases —  Intestinal tract problems —  Cancers —  Maximum concentration advised byWHO: 10μg/L —  Letal dose: 1mg/kg/day —  Problem in Bangladesh and someAsian countries
  • 11. Arsenic detection —  Interest in detection: —  Industrial devices —  Academic research —  Bacteria have a constitutive arsenite and arsenate detection mechanism. —  Expression of a specific membrane protein complex which serves to pump the arsenite residues only when they are present. —  Use of this mechanism to engineer a biosensor
  • 12. Legal framework —  International framework —  Precaution principle —  Substantial equivalence principle —  Switzerland: Protection of the environment and public health —  Antibiotic resistance gene à Confinement à restrictions —  Sample-holder: —  Transport —  3 layers —  Waste gestion —  It makes us aware of our responsibilities —  It forces us to communicate àWe were looking what we are allowed to do and we discover that the legal demands forces us to think HOW to continue our research and build our prototype.
  • 13. Fluorescence —  Emission of light by a substance that has previously been excited by light at a specific wavelenght or by other electromagnetic radiation. —  Green fluorescent protein: excited at 395nm, emitting green light at 509nm. —  From jellyfishAequoreaVictoria —  Used in biology for tracking —  Expressed in the reporter bacteria after having sensedArsenic —  Measure: light intensity at a specific wavelenght
  • 14. Decision: the choice of fluorescence —  Do with what already exists, where the most informations are available. —  Work with Bangalore: students, responsive. —  Use fluorescence to detectArsenic via the bioreporter —  Fluorescence can also be used to detect E.Coli —  Based on intrisic fluorescence of bacteria components (in the UV range) —  Amino-acids —  Nucleic acids Arsenic presence E.Coli senseAs Production of green fluorescence: measurable, proportional toArsenic concentration Activation of GFP gene
  • 15. Design criteria General: •  Portability •  Low-cost •  Replicability Fluorescence kit: •  Light-source •  Filter •  Sample-holder •  Receptor •  Data analysis
  • 18. Our fluorometer LED Emitting at a specific wavelength Sample Detector Detecting a specific wavelength
  • 19. Camera as a detector —  Canon PowershotA530 —  CHDK (Canon hackers development kit)
  • 20. Image Processing—  ImageJ, an open-source image processing software
  • 21. Script —  Fiji is similar to ImageJ, but allows to write scripts —  Permits automation of image analysis
  • 22. Tests of our device —  FITC Dextran —  Constitutively expressing-eGFP E.Coli —  Arsenic biosensor http://apb.tbzmed.ac.ir/Portals/0/Archive/Vol2No1/Pics/2/2.Fig2.jpg
  • 24. Improvements —  Addition of a battery and a switch —  To avoid using anArduino as a simple battery —  The LED can be individually turned on/off —  Fixation of the camera in the device —  Pictures more precise —  Vertical position of the sample —  To allow an easiest change between different samples
  • 27. Quantification with the Photoresistance •  More the light increases, more the resitance decreases so moreVout tends to equalVin •  Inversely, more the light decreases, more the resistance increases so moreVout tends to be null. •  Problem:The photoreistance isn’t enough sensitive.
  • 28. Quantification with the light-to- frequency device 330 Ω Light to frequency device 5 V Sample holder Arduino Analogic pin 5 Thanks for using the free edition of CircuitLab! To upgrade, please visit www.CircuitLab.com/upgrade/ •  The mechanisms are the same, but only the quantifier is different
  • 29. Calibration •  Take measures with known arsenic concentrations. •  Plot them into a graph. •  Light = slope * concentration + const •  Concentration = (light - const) / slope
  • 30. Data and analysis What we have done: Prototype 1 with dextran Prototype 1 with eGFP Prototype 2 with dextran Prototype 1 with arsenic biosensor Prototype 2 with arsenic biosensor
  • 31. Prototype 1 with dextran 0 50 100 150 200 250 0 0.02 0.04 0.06 0.08 0.1 0.12 Greenlightintensity[au] Concentration of Dextran [g/L]
  • 32. Prototype 1 with eGFP y = 102.3x + 3.5759 R² = 0.99917 y = 1E+07x + 415889 R² = 0.99942 1 10 100 1000 10000 100000 1000000 10000000 0.000001 0.00001 0.0001 0.001 0.01 0.1 1 GreenLightintensity[au] Sample dilution MEAN mean x area Linear (MEAN) Linear (mean x area)
  • 33. Prototype 2 with dextran 0 2 4 6 8 10 12 14 16 0 10 20 30 40 50 60 Signal dextran solution [ml]
  • 34. Prototype 1 with arsenic biosensor 0 2 4 6 8 10 12 14 16 18 20 0 10 20 30 40 50 60 70 80 90 100 GreenLightIntensity[au] Arsenite [µg]
  • 35. Prototype 2 with arsenic biosensor —  Failure!
  • 37. Future directions —  Experiment more our prototypes with arsenic biosensor —  Learn how the different aspects interact —  Improve the devices —  Test LEDs —  Test filters —  Add lenses —  Improve reception —  Improve our prototypes —  Improve CHDK to do the analysis —  Redesign the box to be used with a smartphone, create an app —  Many samples at the same time
  • 38. Future directions: General reflexions —  Sample holder —  Size —  Environment for bacteria activity —  Change the fluorescent protein —  Bigger difference between excitation and emission —  Longer wavelenght = cheaper LEDs —  Use another reporter than GFP? —  Shorten reaction time —  Another arsenic measuring way? —  Living matter = many parameters to manage: Bacteria number, temperature, phase, oxygen and nutrients, …
  • 39. Thanks —  Sachiko Hirosue —  Robin Scheibler —  Prof. Michaël Bensimon —  Nina Buffi —  José Artacho —  Sabrina Leuenberger, Heinz Straessle, Charles Joye —  Prof. Martial Geiser, FredericTruffer, Jean Iwanovski —  Prof. Jan RoelofVan der Meer, Siham Beggah, Davide Merulla