Jan Roelef Van der Meer

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ENVIRONMENTAL MONITORING (in the eyes of a biologist) JAN ROELOF VAN DER MEER University of Lausanne NANO-TERA MEETING MAY 5,2015


Me, myself and I

Environmental monitoring in the eyes of engineers…

NASA/JPL – Mars Rover


WHY ENVIRONMENTAL MONITORING?

CHEMICAL EXPOSURE = HEALTH RISK ENVIRON CHANGES = HABITAT DESTRUCTION


TRADITIONAL MONITORING

Specific location Specific sample Specific time Lab analysis Interpretation


SATELLITE REMOTE SENSING

FOREST FIRES

DEEPWATER HORIZON SLICK

https://cimss.ssec.wisc.edu/satmet/modules/

URBAN HEAT


CHALLENGES AND KEY ADVANCES

SAMPLING LOCATIONS • grids, ad hoc networks, autonomous, passive, swarms ANALYSIS METHODS • biology, simpler, faster, precise INTERPRETATION • models, data accessibility


NANO-TERA ENVIRONMENTAL MONITORING PROJECTS •

• •

CabTuRes: enabling autonomous sensors based on carbon nanotubules IrSens: Infrared sensing of atmospheric pollutants LiveSense: Biological sensor tools OpenSense: Network communication between sensors Xsense: wireless remote sensing of rock changes and avalanches

OpenSense II: Crowdsourcing high‐resolution air quality sensing IrSens II: A multicomponent sensor for air pollutants and greenhouse gases X‐Sense II: MEMS acoustic detectors for natural hazard warning systems Envirobot: An anguilliform robot tracking environmental pollutants


As a comparative illustration: FP7 Ocean of Tomorrow projects 2013 call: •

12 collaborative projects (~60 Mi €, 8‐25 partners each)

Key topics: • • •

Rapid sensors for pollutants, toxins, pathogens Real‐time and in‐situ sensors, autonomous platforms Grid‐based and ad hoc network sensing, data communication


ADDING BIOLOGY TO THE ANALYSIS

LESS = MORE?


WHY BIOASSAYS? • Very difficult to correctly predict ecotox risks from chemical concentrations • Use organisms to make an “integrative” measurement or to assay “bioavailability” • Very difficult to interpret reactions from organisms • Ethical concerns / regulations

Measuring heart beat rates of a crab Picture: Ceri Lewis, Tamara Galloway University of Exeter, UK


DIFFERENT APPROACHES

• In situ examination of exposed organisms • Exposure of model organisms under standardized conditions • Use of cell cultures, single cell models • Use of genetically engineered single cell model organisms • Use of isolated biological components

Pictures: Eawag, UNIL, Uexeter, CSIC‐CNB


REAL-TIME IN-SITU (BIO)SENSORS

ENVIROBOT (UNIL, EPFL, HES‐SO, Eawag)

FP7‐BRAAVOO (10 partners)


ENVIROBOT vs BRAAVOO • • •

Flexible modules: different exchangeable sensors Limited space Mobile system, operation 1 day

• • • •

Fixed set of sensors Less space constraints Fixed position Operational for 1 month


General physical sensors: Temperature, camera, turbidity General chemical sensors: pH, oxygen Specific chemical targets: atrazine, lead, copper Biological sensors: general distress, mercury

General physical sensors: Temperature, turbidity General chemical sensors: pH, oxygen, salinity, Biological sensors: Bacteria: general distress, mercury, antibiotics, oil Immunosensors: algal toxins, pesticides, flame retardants Algae: general distress to photosynthesis

BRAAVOO

Envirobot

SENSOR TYPES


ENVIROBOT’s BIOSENSORS Daphnia movement chamber

David Bonzon EPFL‐LMIS4

Clémence Roggo (UNIL)

Bacteria movement chamber


Benoîte Bargeton (UNIL) David Bonzon (EPFL)

Milica Jovic (EPFL)

IMMUNOSENSORS

Xenopus oocyte sensor


RAINBOW TROUT GILL CELLS

R

C

Time [h]

Data: Vivian Lu, Eawag

Response to pentachlorophenol (in µg/L)

Impedance (%)

Response of the cells by impedance measurements. Very robust cells – lifetime = months Active at normal water temperatures (15‐20°C).

Medium


Lake Zurich

• • •

Tap water

L15ex

37 Priority chemicals being tested Time 9 wastewater Sample 1 treatment samples Exposed for 24 hours, gut cell Sample 4 impedance loss

Sample 2

Sample 3

Sample 5

Sample 6

Sample 7

Sample 8

Sample 9

Data: Vivian Lu, Eawag

BENCHMARKING RAINBOW TROUT GILL CELLS


HOW GOOD ARE BIOASSAYS?

B. sartisoli PAH sensor E. coli C6‐C11 alkane sensor E. coli BTEX sensor


Siham Beggah (UNIL)

Bioavailable compound Chemical analysis for bioreporter cells

SEAWATER CONCENTRATIONS


Cells are always ready and active for a sample measurement

Siham Beggah (UNIL)

AUTONOMOUS BACTERIA REPORTER CHIP


Pressure‐controlled valves Current chip design: operations up to 1 week T20 min

T1h50

T3h10

50 µg As/L Day 1

0 µg As/L

Siham Beggah (UNIL)

Day 2


Frederic Truffer (HES‐SO)

Integrating biosensors into the robot modules

Milica Jovic (EPFL)

• Sampling mission • Analysis mission (physical and chemical sensors) • Analysis mission (biological sensor) • Self guidance

Alessandro Crespi (EPFL)

NEXT STEPS IN ENVIROBOT


QUO VADIS “environmental monitoring�?

More data and faster! Interpretation vs democratization? Mitigation and action possibilities?


ACKNOWLEDGEMENTS Envirobot Consortium Thank you for your attention


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