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 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.

TRANSCRIPT

Welcome to PicarroFood Analysis by Cavity Ring-Down Spectroscopy

2

Molecules Are In Constant Motion

Symmetricalstretching

Antisymmetricalstretching

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

Pho

to D

etec

tor

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)

Det

ecto

r S

igna

l Measure Ring-down

Select Wavelength

Wavelength (nm)

8

From Ring-Down to Concentration

Time (micro-seconds)

Det

ecto

r S

igna

l Ringdowns

t

tItI ocirccirc exp)()(

1549.6 1549.8 1550.0 1550.2 1550.4

0.0

1.0x10-6

2.0x10-6

3.0x10-6

4.0x10-6

5.0x10-6

Ab

so

rba

nce

(1

/cm

)

Wavelength (nm)

9

Combustion Module

10

Extending the Reach of CRDS

iCO2

iH2O

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 δ13C Analyses

-40.00

-35.00

-30.00

-25.00

-20.00

-15.00

-10.00

-5.00

0.00

• Simple, yet high precision, high reproducibility

δ13C

/per

mil

Fossil fuel based CO2 (Crystal Geyser)

Geothermal based CO2 (Perrier, left and

San Pellegrino)

Artesian well (Fiji)

19

Honey Analysis, AOAC 998.12

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

Sample 5 -26.55 -26.19 2.1

Sample 6 -27.80 -27.45 1.9

Data shows that all of the samples tested here are unadulterated using AOAC 998.12 criteria.

20

Sample Delta (‰) S.D. (‰) IRMS(‰) Difference (‰)

Honey A -22.22 0.165 -22.2 -0.02

Honey B -21.85 0.120 -22.0 0.15

Honey C -25.22 0.184 -25.6 0.38

Honey D -25.08 0.047 -25.1 0.02

Honey E -27.20 0.082 -26.8 -0.40

Honey F -24.47 0.089 -24.4 -0.07

Honey G -23.77 0.032 -23.9 0.13

Honey H -23.65 0.065 -23.9 0.15

Honey I -23.66 0.046 -23.8 0.14

Honey J -23.74 0.107 -24.2 0.46

Honey Analysis Compared with IRMS

21

Food Fraud Detection

Honey adulteration with corn syrup: 5%, 10% & 15%

Exceptional correlation of calculated & measured δ13C values

Δδ values are < 0.1 ‰, even at the 5% adulteration level

R2 = 0.9999

-27-26-25-24-23-22-21-20-19-18-17-16-15-14-13-12-11-10

-27 -26 -25 -24 -23 -22 -21 -20 -19 -18 -17 -16 -15 -14 -13 -12 -11 -10

Predicted δ13C value (‰)

Mea

sure

d δ

13C

val

ue

(‰)

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

TurkeyGreece

Italy

Spain

25

Olive Oil δ13C Analysis: CRDS vs. IRMS

2ul Inj. Vol. CRDS

δ13C (‰)

S.D. (n=3) (‰)

IRMS

δ13C (‰)

Italy -28.98 0.05 -29.27

Australia -31.23 0.01 -31.19

Spain -28.95 0.18 -28.94

Turkey -30.34 0.11 -30.32

Greece -29.29 0.02 -29.21

Lebanon -29.11 0.23 -28.87

(California -30.03 0.19 N/A)

26

Conclusion

• Fast, easy tests for food authenticity• Supply chain screening for adulteration• Push button, simple methods for routine lab use

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