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Picarro - A Revolution in Food Safety and Food Fraud Detection

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Picarro makes the worlds highest performing and easiest to use gas analyzers. Picarro analyzers are revolutionizing the way the farmers, grocers, distributors, and regulators trace where food comes …

Picarro makes the worlds highest performing and easiest to use gas analyzers. Picarro analyzers are revolutionizing the way the farmers, grocers, distributors, and regulators trace where food comes from, identify point of origin, and screen for food fraud and adulteration. Visibility into the authenticity and origin of the food we eat is becoming increasingly important in an era of globalized food distribution.

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Transcript

  • 1. Welcome to Picarro Food Analysis by Cavity Ring-Down Spectroscopy
  • 2. Molecules Are In Constant Motion Symmetrical stretching Antisymmetrical stretching Scissoring Rocking Wagging Twisting
  • 3. It’s All Springs and Mirrors O H H
  • 4. Very High Sensitivity and Precision
    • Small, 35 cc sample cavity
    • Laser intensity builds up…
    • … Laser is shut off
      • Removes laser fluctuations
    • Up to 20 km pathlength
    • Light reflects around the cavity
    • Cavity loss mechanisms decrease intensity each pass
    • Measurement is decay rate not absolute absorbance
    Time-basis and long pathlength provide high sensitivity & precision
  • 5. Time Based Measurement Laser Photo Detector Photo Detector Time (  s)
  • 6. Increase Concentration, Faster Ring-Down Absorbing species in the cavity follow Beer-Lambert Law
  • 7. From Wavelength to Ringdown Time (micro-seconds) Detector Signal Measure Ring-down Select Wavelength Wavelength (nm)
  • 8. From Ring-Down to Concentration Time (micro-seconds) Detector Signal Ringdowns
  • 9. Combustion Module
  • 10. Extending the Reach of CRDS iCO 2 iH 2 O DIC/DOC DIC DIC Automate FX OI Analytical 1030W Thermo GasBench II Costech EA Liaison
  • 11. Benefits of Cavity Ringdown
    • Low capital cost - $50K to $120K.
    • Low cost of ownership- $100 to $1000/year.
    • Small Size – as small as 17” x 8” x 23”.
    • Low power consumption – 100W to 400W
    • No high vacuum pumps.
    • Very rugged.
    • Easy to Use.
  • 12. Food Authenticity
    • Fraud is a $50 Billion/yr problem
      • Wine
      • Coffee
      • Olive oil
      • Milk
    • Using costly equipment and scantily adopted methods
      • IRMS ($350,000)
      • NMR ($300,000)
  • 13. Consumer Rights, Tariffs and Duties
    • OJ – where is it from, Florida or Brazil?
  • 14. Consumer Safety
    • Has cane sugar been added to this honey?
    • Is this “pure” sesame oil diluted with corn oil?
  • 15. Sustainable Plastic Packaging
    • $50 Billion/yr by 2014
      • Adding annually renewable resources
    • Using costly equipment
      • AMS ($3,000,000)
    • Or low tech
      • LSC (low precision)
  • 16. Measuring ‘Green-ness’
    • What is the plant content of these bottles and bags?
  • 17. Stable Isotopes: Answer These Questions
    • Stable isotope data can give simple, unambiguous answers to all these questions and more
    • Unique signature from a permanent record of history/source
    • Huge potential applications
    • Can provide simple analysis/screening information
    • Completely under-exploited to date
    • New instrumentation is changing that
  • 18. Sparkling Water δ 13 C Analyses
    • Simple, yet high precision, high reproducibility
    δ 13 C/permil Fossil fuel based CO 2 (Crystal Geyser) Geothermal based CO 2 (Perrier, left and San Pellegrino) Artesian well (Fiji) -40.00 -35.00 -30.00 -25.00 -20.00 -15.00 -10.00 -5.00 0.00
  • 19. Honey Analysis, AOAC 998.12 Data shows that all of the samples tested here are unadulterated using AOAC 998.12 criteria. Sample Protein ( ‰ ) Honey ( ‰ ) C4 Sugars ( % ) Sample 1 - 26.57 - 27.35 - 4.6 Sample 2 - 26.79 - 27.57 - 4.6 Sample 3 - 26.27 - 25.45 5.0 Sample 4 - 26.21 - 27.84 - 9.8 Samp le 5 - 26.55 - 26.19 2.1 Sample 6 - 27.80 - 27.45 1.9
  • 20. Honey Analysis Compared with IRMS -24.2 -23.8 -23.9 -23.9 -24.4 -26.8 -25.1 -25.6 -22.0 -22.2 IRMS ( ‰ ) 0.46 0.14 0.15 0.13 -0.07 -0.40 0.02 0.38 0.15 -0.02 Difference ( ‰ ) 0.107 0.046 0.065 0.032 0.089 0.082 0.047 0.184 0.120 0.165 S.D. ( ‰ ) -22.22 Honey A -21.85 Honey B -25.22 Honey C -25.08 Honey D -27.20 Honey E -23.65 Honey H -23.66 Honey I -23.77 Honey G -23.74 Honey J -24.47 Honey F Delta ( ‰ ) Sample
  • 21. Food Fraud Detection
    • Honey adulteration with corn syrup: 5%, 10% & 15%
    Exceptional correlation of calculated & measured δ 13 C values Δδ values are < 0.1 ‰ , even at the 5% adulteration level 100% HFCS 100% Honey
  • 22. Orange Juice Origin
  • 23. Commercial Apples
    • A quick screening method of using stable isotopes to distinguish the true origin and/or composition of natural food and beverage products
  • 24. Olive Oil Sample Sources (6 Countries) Australia Lebanon Turkey Greece Italy Spain
  • 25. Olive Oil δ 13 C Analysis: CRDS vs. IRMS N/A) 0.19 -30.03 (California -28.87 0.23 -29.11 Lebanon -29.21 0.02 -29.29 Greece -30.32 0.11 -30.34 Turkey -28.94 0.18 -28.95 Spain -31.19 0.01 -31.23 Australia -29.27 0.05 -28.98 Italy IRMS δ 13 C ( ‰) S.D. (n=3) ( ‰) CRDS δ 13 C ( ‰) 2ul Inj. Vol.
  • 26. Conclusion
    • Fast, easy tests for food authenticity
    • Supply chain screening for adulteration
    • Push button, simple methods for routine lab use