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M. Meyyappan

        NASA Ames Research Center
          Moffett Field, CA 94035
       email: m.meyyappan@nasa.gov



Acknowledgements: Jing Li, Y. Lu, Jessica Koehne, Cattien
                     Nguyen,
                Jeong-Soo Lee
Innovation: Breaking Stereotype
Since 1960 ~
                      SiO2(solid)
               Gate   high-k(solid)                 Fluid
       S              D                        Gate Gas/liquid

                                        S                D

  • Solid-state Gate Dielectric
  • Insolating gate to drain

“The guys like us who work with the   <Fluid Gate Dielectric>
stuff every day consider silicon      • Stimuli responsive fluid
dioxide the greatest gift from        • Exchangeable
God ”, John S. Suehle, NIST           • Drop-on-demand
Structure:Nanogap Gate Dielectric FET
                               Gate oxide
                     D         Removal                      D

         S                                   S



Independent Double-Gate FinFET        Nanogap Double-Gate FinFET
• Flexible threshold voltage         • Radioresponsive liquid
                                       - radiation sensor
• Low-power application
                                     • Chemical responsive liquid
                                      - gas sensor
                                     • Bio responsive treatment
                                      - bio sensor
Prototype of Nanogap FET
                       Liquid
                       Sol-Gel
                       DNA
                       Protein




                                 4
PMDS: Radioresponsive Liquid
                                                                     CH3
Polydimethylsiloxane (PDMS)       CH3        CH3
                                                         -ray        |

                                      |          |               -Si-O-
                                                                      |
                                 -Si-O-     -Si-O-                   CH3
                                      |          |
                                  CH3
                                          +  3
                                            CH
                                             
                                                                           CH3
                                 CH3          CH3                            |
                                  |                  |
                                                                           -Si-O- & H2 (gas)
                                -Si-O- & -Si-O-                              |
                                  |                  |      -ray          CH2
                      *n=20 ~ 40 CH2          CH4                                
                                            
                                             -ray           CH3
 Radiation response of PDMS                                      |

                                                            -Si-O- & CH4 (gas)
• Si-C, Si-O, C-H bond break                                
• Charged radical creation                Bonding Energy
• Cross-linking                           Si-C : 360 (KJ/mol)
• H2, CH4 release                         C-H : 413 (KJ/mol)
                                          Si-O : 452 (KJ/mol)
Gamma-ray Detection
Gamma-radiation (C60)



 VG          Liquid
      Gate
                                                                 Ga
             Drain                                         2.0
Source
                                                           1.5
         Gate




                               Threshold voltage, VT (V)
                                                           1.0

             VD                                            0.5
                                                                 n
                                                           0.0
                                                                 p
                                                       -0.5

                                                       -1.0
Biosensor
Bacteria                DNA           Protein




       Insulating
       Dielectrics
       (optional)


                                  e-              e-             e-

                     Electrical
                      contact          Si wafer


Directly interface solid-state electronics with DNAs, RNAs, proteins, and microbes
in a miniaturized multiplex chip for quick detection(Lock and Key approach)
Nanoscale electrodes create a dramatic improvement in signal
                   detection over traditional electrodes
          Traditional Macro- or                      Nanoelectrode
Electrode    Micro- Electrode                           Array



                                                                   Insulator
                                                                                    Nano-
   • Scale difference between macro-       • CNT tips are at the scale close      Electrode
     /micro- electrodes and molecules is     to biomolecules
     tremendous
                                           • Dramatically reduced
   • Background noise on electrode           background noise
     surface is therefore significant      • Multiple electrodes result in
   • Significant amount of target            magnified signal and desired
     molecules required                      redundance for statistical reliability.

                             X       X
                 Candidates: SWNTs, MWNTs, Vertical
                            CNFs or Vertical SiNWs                              Source: Jun Li
Embedded CNT Arrays after
                                 r. e.
      Metal Film                  c. e.   planarization
      Deposition
                                   w.
                                  e.
      Catalyst             EC
      Deposition



      Plasma               CMP
      CVD          TEOS
                   CVD




                                 300 mm
30 dies on a 4” Si wafer         200 mm
Troponin Detection for Heart Disease
                          i
                  0.20
                  0.15
                                                            (a) bare electrode
Current/10 -6 A



                  0.10
                  5.00
                                                       g
                  0.00
                  -5.00
                                                       f
                                                       e
                                                            (b) bare / anti–cTnI electrode
                                                       d
                  -0.10                                c
                                                       b
                  -0.15                                a
                          0.8 0.6 0.4 0.2 0.0 -0.2 -0.4
                               Potential (V vs. SCE)         curve c–g represent 0.25, 0.5,
                  -120    ii                                 1.0, 5.0, and 10.0 ng ml-1
                  -100                                       human cTnI antigen binding
                    -80
                                                             to the bare electrode after
Zim (kΩ)




                    -60                                g
                                                       f
                                                             immobilization with anti–cTnI
                    -40                                e
                                                       d
                                                       c
                                                             antibody respectively.
                    -20
                                                       b
                                                       a
                     0
                          0     15   30   45   60   75 90
                                     Zre (kΩ)
WHY: Effective Clinical Technique
            • DBS has been clinically effective in the treatment of
            movement disorder

            HOW: Four Interrelated Hypothesis
            • Paradox of similar effects to lesioning of target structure is
            explained by the following:
                       -Depolarization Blockage
                       -Synaptic Inhibition
                       -Synaptic Depression
                       -Stimulation Induced Modulation of Pathways

            PROBLEMS: Indiscriminate Activation
            • Stimulation indiscriminately affects all tissue around the
            electrode (size: 1.27mm diameter with four 1.5mm contacts)

            • Crude method without feedback

            IMPROVEMENTS:
            Targeted Activation to specific location down to sub mm scale

            Obtain feedback information – such as neurotransmitter
            levels

Medtronic
Discrimination of Dopamine, Serotonin and
               Ascorbic Acid
                      a) Baseline-corrected DPV plots of individual
                         detection of 10 µM DA, 1 mM AA, and 10
                         µM 5-HT with a glassy carbon electrode
                      b) Background subtracted DPV plots of
                         individual detection of 10 µM DA, 1 mM AA,
                         and 10 µM 5-HT with a carbon nanofiber
                         electrode
                      c) Baseline-corrected DPV plots of a ternary
                         mixture of 10 uµM DA, 1 mM AA, and 10
                         µM 5-HT with a glassy carbon electrode
                      d) Baseline-corrected DPV plots of a ternary
                         mixture of 10 uµM DA, 1 mM AA, and 10
                         µM 5-HT with a carbon nanofiber electrode
                      e) Baseline-corrected DPV plots of a ternary
                         mixture of 1 mM AA, 10 µM DA, and 5-HT
                         (10 µM, 5 µM, 2.5 µM, 1 µM, 0.5 µM, 0.25
                         µM) with a carbon nanofiber electrode
                      f) Baseline-corrected DPV plots of a ternary
                          mixture of 1 mM AA, 10 µM 5-HT, and DA
                          (10 µM, 5 µM, 2.5 µM, 1 µM, 0.5 µM, 0.25
                          µM, 0.1 µM) with a carbon nanofiber
                          electrode
(a) and (b) : EIS spectra with an antibody probe
(c) and (d) : with an aptamer probe
 (b) and (d) use control targets
Rct decreases after washing with elution buffer and returns to a similar value to the
aptamer functionalized chip, i.e. the ricin protein is washed away but the aptamer probe
remains bound to the VACNFs. Upon reintroduction to ricin, Rct increases to a value
similar to the original ricin-bound EIS curve. Thus, the aptamer retains its bioactivity and
is able to be regenerated, thus indicating the reusability of the aptamer based biosensor.
300 mm
                                 200 mm


                                      Potential applications:
      30 dies on a 4” Si wafer        (1) Lab-on-a-chip applications
                                      (2) Early cancer detection
The electronic chip needs to          (3) Infectious disease detection
be integrated with                    (4) Environmental monitoring
microfluidics for sample              (5) Pathogen detection
Chemical Sensor
Sensor Research in NASA, Director Meyya Meyyappan, NASA Ames Research Center
• First, a single device has no value. We need a system consisting of:
     - Sensor array (Electronic Nose, Pattern recognition…)
     - Pre-concentrator ?
     - Sample delivery, Microfan? Jet?
     - Signal processing chip
     - Readout unit (data acquisition, storage)
     - Interface control I/O
     - Integration of the above (Nano-Micro-Macro)
• Criteria for Selection/Performance
     - Sensitivity (ppm to ppb as needed)
     - Absolute discrimination
     - Small package (size, mass)
     - Low power consumption
     - Rugged, reliable
     - Preferably, a technology that is adaptable to different platforms
     - Amenable for sensor network or sensor web when needed
• Compared to existing systems, potential exists to improve sensitivity
limits, and certainly size and power needs
• Why? Nanomaterials have a large surface area. Example: SWCNTs
have a             surface area ~1600 m2/gm which translates to the size of a
football field for         only 4 gm.
• Large surface area        large adsorption rates for
  gases and vapors              changes some measurable
  properties of the nanomaterial       basis for
  sensing
      - Dielectric constant
      - Capacitance
      - Conductance
      -
      -

                                                             4 grams
•   Easy production using simple microfabrication
 •   2 Terminal current-voltage measurement
 •   Low energy barrier - Room temperature sensing
 •   Low power consumption: 50-100 µW/sensor
                                                     Processing Steps

                                            1. Interdigited microscale
                                               electrode device fabrication

                                            2. Disperse purified nanotubes
                                               in DMF (dimethyl
                                               formamide)

                                            3. Solution casting of CNTs
                                               across the electrodes
Jing Li et al., Nano Lett., 3, 929 (2003)
• Test conditions:
                                      Flow rate: 400 ml/min
                                      Temperature: 23 oC
                                      Purge & carrier gas: N2 , Air

                                    • Measure response to various
                                      concentrations, plot
                                    conductance
                                      change vs. concentration

                                    • Sensor recovery can be
                                    speeded up
                                      by exposing to UV light, heating
Detection limit for NO2 is 4 ppb.   or
• Use of a sensor array (32-256
sensors)
• Variations among sensors
       - physical differences
       - coating
       - doping
       - nanowires                Operation:
                                  1. The relative change of current or
                                     resistance is correlated to the
                                     concentration of analyte.
                                  2. Array device “learns” the response
                                     pattern in the training mode.
                                  3. Unknowns are then classified in the
                                     identification mode.
                                  4. Sensor can be “refreshed” using UV
                                     LED, heating or purging
Analyte   Sensitivity/Detection Limit
CH4                      1 ppm in air
Hydrazine                10 ppb tested by KSC
NO2                      4.6 ppb in air
NH3                      0.5 ppm in air
SO2                      25 ppm in air
HCl                      5 ppm in air
Formaldehyde             10 ppb in air tested by JPL
Acetone                  10 ppm in air
Benzene                  20 ppm in air
Cl2                      0.5 ppm in air
HCN                      10 ppm in N2
Malathion                Open bottle in air
Diazinon                 Open bottle in air
Toluene                  1 ppm in air
Nitrotoluene             256 ppb in N2
H2O2                     3.7 ppm in air
DMMP                     100 ppb in air
2nd
         1st   expos
         expos ure
         ure

                         3rd   4th
                               exposure
                         exposure

•   Pristine, Rh-loaded and PEI-
                                          Gaps
    functionalized SWCNT: all give fast   Fingers
    response ~18 seconds

•   Recovery time ~1 min

•   Detection limit: 10-20 ppb
H2O2

                                           • Fast sensor response: 6 seconds

                                           • Detection limit: 25 ppm




                                                       Mechanisms?
  polyethyleneimine (PEI)-functionalized   •Electron donation from an
                SWCNTs                     oxidizer like H2O2 decreases the
• Headspace test: sensor exposed to        conductivity of the inherently p-
  open bottles of H2O2, water, and         type SWCNTs in air
  methanol
                                           •PEI-functionalized SWCNTs have
• Substantial difference in responses      been shown to be n-type. Their
                                           conductivity increases after
• Adequate to construct e-nose with        exposure to H2O2
  32-sensor elements
A 32-channel sensor chip (1cm x 1cm)
                                          with different nanostructured materials
                                          for chemical sensing


                                                                                5”




NASA Ames chemical sensor module was
on a secondary payload of a Navy
satellite (Midstar-1) that was launched
via Atlas V on March 9, 2007.             The nanosensor module (5”x 5”x 1.5”) contains
                                          a chip of 32 sensors, a data acquisition
                                          board, sampling system, and a tank with
                                          20ppm NO2 in N2.
1. Temperature
                                                     data
                                                     2. Humidity data
                                                     3. Pressure data
                                                     4. Altitude data



                                                     9. Chemical ID
Sensor state                                         and concentration
                                                     5. Sensor state
   Pump condition
                                                     8. Pump state

                    Pump location            7. Sensor settings
                                    6. App information
Sensor Research in NASA, Director Meyya Meyyappan, NASA Ames Research Center
Sensor Research in NASA, Director Meyya Meyyappan, NASA Ames Research Center
• Some diseases have specific markers which show up in
  excess concentration in the breath of sick people relative
  to normal population.

                      Examples: Acetone in diabetes patients
                                NO in asthma patients




•In these cases, simple chemical sensors (gas/vapor sensing) with
pattern recognition can be valuable.
Room Temperature Sensing of Acetone




• ZnO nanoparticles show a good response to 1-50 ppm at room temperature

• Humidity effects are important and have been investigated

• ZnO NP is a useful candidate to include in the sensor array for providing reliable
  patterns
• Emerging of nano will NOT eclipse micro or MEMS
• Indeed, in many cases (but not all), nano-based products would need
MEMS to        achieve desirable performance goals. This means,
hierarchical
                        Nano - Micro - Macro Integration
• Nanotechnology, if it succeeds in the market place, will breathe new life
and               renewed vigor into the MEMS (research, applications,
infrastructure, fabs,             products, market, companies, profit…..)

• We have discussed some examples, in terms of chemical
and bio        sensors , where the “heart and soul” of the system
is
    a nanomaterial, or some nano phenomena and the system
    itself needs a seamless integration to micro/macro for a
   technically feasible and commercially viable product.

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Sensor Research in NASA, Director Meyya Meyyappan, NASA Ames Research Center

  • 1. M. Meyyappan NASA Ames Research Center Moffett Field, CA 94035 email: m.meyyappan@nasa.gov Acknowledgements: Jing Li, Y. Lu, Jessica Koehne, Cattien Nguyen, Jeong-Soo Lee
  • 2. Innovation: Breaking Stereotype Since 1960 ~ SiO2(solid) Gate high-k(solid) Fluid S D Gate Gas/liquid S D • Solid-state Gate Dielectric • Insolating gate to drain “The guys like us who work with the <Fluid Gate Dielectric> stuff every day consider silicon • Stimuli responsive fluid dioxide the greatest gift from • Exchangeable God ”, John S. Suehle, NIST • Drop-on-demand
  • 3. Structure:Nanogap Gate Dielectric FET Gate oxide D Removal D S S Independent Double-Gate FinFET Nanogap Double-Gate FinFET • Flexible threshold voltage • Radioresponsive liquid - radiation sensor • Low-power application • Chemical responsive liquid - gas sensor • Bio responsive treatment - bio sensor
  • 4. Prototype of Nanogap FET Liquid Sol-Gel DNA Protein 4
  • 5. PMDS: Radioresponsive Liquid CH3 Polydimethylsiloxane (PDMS) CH3 CH3 -ray | | | -Si-O- | -Si-O- -Si-O- CH3 | | CH3 +  3 CH  CH3 CH3 CH3 | | | -Si-O- & H2 (gas) -Si-O- & -Si-O- | | | -ray CH2 *n=20 ~ 40 CH2 CH4    -ray CH3 Radiation response of PDMS | -Si-O- & CH4 (gas) • Si-C, Si-O, C-H bond break  • Charged radical creation Bonding Energy • Cross-linking Si-C : 360 (KJ/mol) • H2, CH4 release C-H : 413 (KJ/mol) Si-O : 452 (KJ/mol)
  • 6. Gamma-ray Detection Gamma-radiation (C60) VG Liquid Gate Ga Drain 2.0 Source 1.5 Gate Threshold voltage, VT (V) 1.0 VD 0.5 n 0.0 p -0.5 -1.0
  • 8. Bacteria DNA Protein Insulating Dielectrics (optional) e- e- e- Electrical contact Si wafer Directly interface solid-state electronics with DNAs, RNAs, proteins, and microbes in a miniaturized multiplex chip for quick detection(Lock and Key approach)
  • 9. Nanoscale electrodes create a dramatic improvement in signal detection over traditional electrodes Traditional Macro- or Nanoelectrode Electrode Micro- Electrode Array Insulator Nano- • Scale difference between macro- • CNT tips are at the scale close Electrode /micro- electrodes and molecules is to biomolecules tremendous • Dramatically reduced • Background noise on electrode background noise surface is therefore significant • Multiple electrodes result in • Significant amount of target magnified signal and desired molecules required redundance for statistical reliability. X X Candidates: SWNTs, MWNTs, Vertical CNFs or Vertical SiNWs Source: Jun Li
  • 10. Embedded CNT Arrays after r. e. Metal Film c. e. planarization Deposition w. e. Catalyst EC Deposition Plasma CMP CVD TEOS CVD 300 mm 30 dies on a 4” Si wafer 200 mm
  • 11. Troponin Detection for Heart Disease i 0.20 0.15 (a) bare electrode Current/10 -6 A 0.10 5.00 g 0.00 -5.00 f e (b) bare / anti–cTnI electrode d -0.10 c b -0.15 a 0.8 0.6 0.4 0.2 0.0 -0.2 -0.4 Potential (V vs. SCE) curve c–g represent 0.25, 0.5, -120 ii 1.0, 5.0, and 10.0 ng ml-1 -100 human cTnI antigen binding -80 to the bare electrode after Zim (kΩ) -60 g f immobilization with anti–cTnI -40 e d c antibody respectively. -20 b a 0 0 15 30 45 60 75 90 Zre (kΩ)
  • 12. WHY: Effective Clinical Technique • DBS has been clinically effective in the treatment of movement disorder HOW: Four Interrelated Hypothesis • Paradox of similar effects to lesioning of target structure is explained by the following: -Depolarization Blockage -Synaptic Inhibition -Synaptic Depression -Stimulation Induced Modulation of Pathways PROBLEMS: Indiscriminate Activation • Stimulation indiscriminately affects all tissue around the electrode (size: 1.27mm diameter with four 1.5mm contacts) • Crude method without feedback IMPROVEMENTS: Targeted Activation to specific location down to sub mm scale Obtain feedback information – such as neurotransmitter levels Medtronic
  • 13. Discrimination of Dopamine, Serotonin and Ascorbic Acid a) Baseline-corrected DPV plots of individual detection of 10 µM DA, 1 mM AA, and 10 µM 5-HT with a glassy carbon electrode b) Background subtracted DPV plots of individual detection of 10 µM DA, 1 mM AA, and 10 µM 5-HT with a carbon nanofiber electrode c) Baseline-corrected DPV plots of a ternary mixture of 10 uµM DA, 1 mM AA, and 10 µM 5-HT with a glassy carbon electrode d) Baseline-corrected DPV plots of a ternary mixture of 10 uµM DA, 1 mM AA, and 10 µM 5-HT with a carbon nanofiber electrode e) Baseline-corrected DPV plots of a ternary mixture of 1 mM AA, 10 µM DA, and 5-HT (10 µM, 5 µM, 2.5 µM, 1 µM, 0.5 µM, 0.25 µM) with a carbon nanofiber electrode f) Baseline-corrected DPV plots of a ternary mixture of 1 mM AA, 10 µM 5-HT, and DA (10 µM, 5 µM, 2.5 µM, 1 µM, 0.5 µM, 0.25 µM, 0.1 µM) with a carbon nanofiber electrode
  • 14. (a) and (b) : EIS spectra with an antibody probe (c) and (d) : with an aptamer probe (b) and (d) use control targets
  • 15. Rct decreases after washing with elution buffer and returns to a similar value to the aptamer functionalized chip, i.e. the ricin protein is washed away but the aptamer probe remains bound to the VACNFs. Upon reintroduction to ricin, Rct increases to a value similar to the original ricin-bound EIS curve. Thus, the aptamer retains its bioactivity and is able to be regenerated, thus indicating the reusability of the aptamer based biosensor.
  • 16. 300 mm 200 mm Potential applications: 30 dies on a 4” Si wafer (1) Lab-on-a-chip applications (2) Early cancer detection The electronic chip needs to (3) Infectious disease detection be integrated with (4) Environmental monitoring microfluidics for sample (5) Pathogen detection
  • 19. • First, a single device has no value. We need a system consisting of: - Sensor array (Electronic Nose, Pattern recognition…) - Pre-concentrator ? - Sample delivery, Microfan? Jet? - Signal processing chip - Readout unit (data acquisition, storage) - Interface control I/O - Integration of the above (Nano-Micro-Macro) • Criteria for Selection/Performance - Sensitivity (ppm to ppb as needed) - Absolute discrimination - Small package (size, mass) - Low power consumption - Rugged, reliable - Preferably, a technology that is adaptable to different platforms - Amenable for sensor network or sensor web when needed
  • 20. • Compared to existing systems, potential exists to improve sensitivity limits, and certainly size and power needs • Why? Nanomaterials have a large surface area. Example: SWCNTs have a surface area ~1600 m2/gm which translates to the size of a football field for only 4 gm. • Large surface area large adsorption rates for gases and vapors changes some measurable properties of the nanomaterial basis for sensing - Dielectric constant - Capacitance - Conductance - - 4 grams
  • 21. Easy production using simple microfabrication • 2 Terminal current-voltage measurement • Low energy barrier - Room temperature sensing • Low power consumption: 50-100 µW/sensor Processing Steps 1. Interdigited microscale electrode device fabrication 2. Disperse purified nanotubes in DMF (dimethyl formamide) 3. Solution casting of CNTs across the electrodes Jing Li et al., Nano Lett., 3, 929 (2003)
  • 22. • Test conditions: Flow rate: 400 ml/min Temperature: 23 oC Purge & carrier gas: N2 , Air • Measure response to various concentrations, plot conductance change vs. concentration • Sensor recovery can be speeded up by exposing to UV light, heating Detection limit for NO2 is 4 ppb. or
  • 23. • Use of a sensor array (32-256 sensors) • Variations among sensors - physical differences - coating - doping - nanowires Operation: 1. The relative change of current or resistance is correlated to the concentration of analyte. 2. Array device “learns” the response pattern in the training mode. 3. Unknowns are then classified in the identification mode. 4. Sensor can be “refreshed” using UV LED, heating or purging
  • 24. Analyte Sensitivity/Detection Limit CH4 1 ppm in air Hydrazine 10 ppb tested by KSC NO2 4.6 ppb in air NH3 0.5 ppm in air SO2 25 ppm in air HCl 5 ppm in air Formaldehyde 10 ppb in air tested by JPL Acetone 10 ppm in air Benzene 20 ppm in air Cl2 0.5 ppm in air HCN 10 ppm in N2 Malathion Open bottle in air Diazinon Open bottle in air Toluene 1 ppm in air Nitrotoluene 256 ppb in N2 H2O2 3.7 ppm in air DMMP 100 ppb in air
  • 25. 2nd 1st expos expos ure ure 3rd 4th exposure exposure • Pristine, Rh-loaded and PEI- Gaps functionalized SWCNT: all give fast Fingers response ~18 seconds • Recovery time ~1 min • Detection limit: 10-20 ppb
  • 26. H2O2 • Fast sensor response: 6 seconds • Detection limit: 25 ppm Mechanisms? polyethyleneimine (PEI)-functionalized •Electron donation from an SWCNTs oxidizer like H2O2 decreases the • Headspace test: sensor exposed to conductivity of the inherently p- open bottles of H2O2, water, and type SWCNTs in air methanol •PEI-functionalized SWCNTs have • Substantial difference in responses been shown to be n-type. Their conductivity increases after • Adequate to construct e-nose with exposure to H2O2 32-sensor elements
  • 27. A 32-channel sensor chip (1cm x 1cm) with different nanostructured materials for chemical sensing 5” NASA Ames chemical sensor module was on a secondary payload of a Navy satellite (Midstar-1) that was launched via Atlas V on March 9, 2007. The nanosensor module (5”x 5”x 1.5”) contains a chip of 32 sensors, a data acquisition board, sampling system, and a tank with 20ppm NO2 in N2.
  • 28. 1. Temperature data 2. Humidity data 3. Pressure data 4. Altitude data 9. Chemical ID Sensor state and concentration 5. Sensor state Pump condition 8. Pump state Pump location 7. Sensor settings 6. App information
  • 31. • Some diseases have specific markers which show up in excess concentration in the breath of sick people relative to normal population. Examples: Acetone in diabetes patients NO in asthma patients •In these cases, simple chemical sensors (gas/vapor sensing) with pattern recognition can be valuable.
  • 32. Room Temperature Sensing of Acetone • ZnO nanoparticles show a good response to 1-50 ppm at room temperature • Humidity effects are important and have been investigated • ZnO NP is a useful candidate to include in the sensor array for providing reliable patterns
  • 33. • Emerging of nano will NOT eclipse micro or MEMS • Indeed, in many cases (but not all), nano-based products would need MEMS to achieve desirable performance goals. This means, hierarchical Nano - Micro - Macro Integration • Nanotechnology, if it succeeds in the market place, will breathe new life and renewed vigor into the MEMS (research, applications, infrastructure, fabs, products, market, companies, profit…..) • We have discussed some examples, in terms of chemical and bio sensors , where the “heart and soul” of the system is a nanomaterial, or some nano phenomena and the system itself needs a seamless integration to micro/macro for a technically feasible and commercially viable product.