development of microfluidic sensors for autonomous seawater measurements the oceans are undersampled...

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Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors that can measure seawater properties continuously

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Page 1: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

Development of microfluidic sensors for autonomous seawater measurements

The oceans are undersampled both spatially and temporallyGlobal network of sensors that can measure seawater properties continuously

Page 2: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

The Gardner hype cycle model for microfluidics.From H Becker Lab Chip, 2009DOI: 10.1039/b911553f Focus

Why Lab-on Chip /Microfluidics?

• Mass manufacturing capabilities leading to cost reduction

• Reagent based systems: low fluid volume and reagent consumption. Low power requirements

• Ability to design compact systems with complex microfluidic geometries

Page 3: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

Provides us with the ability to measure a range of nutrients such as:

Nitrate / NitritePhosphateIron ManganeseAmmonium

And also the carbonate chemistry of the oceans:

pH.TADIC

Lab-on Chip and microfluidics using colorimetric methods

Page 4: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

A field-deployable sensor for automated in-situ spectrophotometric pH measurements

• Measurement based on the formation of a concentration gradient measured by a two wavelength LED

• Total concentration of indicator and pH is calculated and plotted to derive a perturbation free pH sample

Top: Fluidic & LED access holes

Middle: Fluidic channels

Bottom: Fixing bracket

Serpentine mixing channel Detector

Reagent Sample

Temp sensor

Figure 1 Three layered microfluidic chip Figure 2 Detail of microfluidic middle layer section

Page 5: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

Macronutrient cycles

Christchurch harbour, UK

Page 6: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

Nitrate Sensor On Kongsberg Glider

Page 7: Development of microfluidic sensors for autonomous seawater measurements The oceans are undersampled both spatially and temporally Global network of sensors

• pH system currently being tested at the Wendy Schmidt XPrize Phase 3 in Seattle for one month coastal trials

• Preparations for further nitrate glider deployments• Deployments in the Arctic and Greenland

Current and future work

D.R. Owsianka

Acknowledgements

OTEG Team at NOCand University of Southampton