Organic food authentication: potential and limitations

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Organic food authentication: potential and limitations

Saskia van Ruth (saskia.vanruth@wur.nl)

RIKILT Wageningen UR

Wageningen University

Souls for sale?

 What’s in it 4U?

 Food product adulteration and counterfeiting is a thriving multi-billion euro global industry. It is highly profitable and the risks of significant legal consequences are low.

The food supply network

 Retail demands shape global food market

 Price is the main governing feature

 Food and ingredients are sourced world-wide

 Extensive, fragile, vulnerable food supply chain

The world’s food trade grows faster than the food production

Ercsey-Ravasz M, Toroczkai Z, Lakner Z, Baranyi J (2012) Complexity of the International Agro-Food Trade Network and Its Impact on Food

Safety. PLoS ONE 7(5): e37810. doi:10.1371/journal.pone.0037810 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037810

Food fraud

 Food fraud differs from most food safety issues in that fraudsters intentionally aim at deceiving targets by food adulteration or counterfeiting for their own economic gain .

The crime triangle

Food authenticity and safety

 Control systems are nowadays primarily aiming at food safety and defense

 Food authenticity and integrity has received less attention in the last decade

 Development of fraud risk assessment:

 Temptation ACCP: People factor, critical points, how to optimize detection

Detection

 Laboratory-based: checks of occasional samples

● Single markers

● Patterns

 Supply-chain: pro-active, red/green light, 100% check

Single markers

Sensory evaluation

Multiple markers: looking for patterns

•Spectroscopy techniques: FTIR, NIR, MIR, UV etc.

•GC-MS, LC-MS, IR-MS, ICP-MS, PTR-MS, SELDI-TOFMS, NMR, DART-MS, etc.

Multi marker fingerprints?

Fingerprints of target product group versus counterparts (e.g. genuine and adulterated products).

Method developments and confirmation

 Laboratory-based: finding the relevant markers:

 Combining analytical chemistry and chemometrics

AuthenticFood EU project

Organic vs Conventional Tomatoes

 Tomato samples (n=24)

Region of origin in

Italy

Botanical origin

Production method

Basilicata

2

Organic,

Conventional

Emilia 2

Organic,

Conventional

Sample design was a full factorial 2x2x2 design

Triplicate samples batches

Duplicate analysis

Italian tomatoes

 PTR-MS

 Sensory analysis

Sensory profiling of the tomatoes

 Only 9 of the 12 samples from Emilia were assessed by sensory profiling due to early deterioration.

 Sensory analysis was performed by 13 expert assessors from the Flavour Research Team of Caroline Labrie and

Petra Dorstijn at Wageningen UR Greenhouse

Horticulture.

 A total of 17 sensory attributes comprised of aroma, taste and texture were used to evaluate the samples

Method developments and confirmation

 Laboratory-based: finding the relevant markers AND

(international) validation

The egg study continued

Organic

Cage Barn

Free range

Instrumental method based on yellow pigments: carotenoids

Carotenoids in egg yolk

 Natural carotenoids

● Lutein

● Zeaxanthin

 Feed additives

● Canthaxanthin

● Apocarotenoic ester

● Citranaxanthin

~750 eggs

~200 pooled samples

~250 samples to be analysed

Chromatographic analysis of the yellow pigments

Cage2E

Bio3W

FR3E

Bio2S

Bio3S

Cage2S

Cage2S

Bio2N

Cage3S

Barn1E

Cage1E

FR1W

Barn2E

Bio3E

Cage3W

Cage3E

Bio3W

FR3E

Bio2S

Barn3S

FR2S

FR2W

FR2E

Cage2N

FR1E

Bio2E

Bio1E

Bio1E

FR2N

Barn3N

Barn1N

Bio3N

Bio2S

Barn3S

FR2S

FR2W

FR2E

FR2E

Cage2N

FR1E

Bio2E

Bio1E

FR2N

Barn3N

Barn1N

Bio3N

Cage2E

Bio3W

Barn3S

FR2S

FR2W

FR2E

Cage2N

FR1E

Bio2E

Bio1E

FR2N

Barn3N

Barn3N

Barn1N

Bio3N

Cage2E

Bio3W

FR3E

Cage3W

Cage3E

Barn4E

FR3W

Barn2S

FR3S

FR1N

FR1N

Bio3S

Cage2S

Bio2N

Cage3S

Barn1E

Cage1E

FR1W

Barn2E

Barn4E

Barn4E

FR3W

Barn2S

FR3S

FR1N

Bio3S

Cage2S

Bio2N

Cage3S

Barn1E

Cage1E

Cage1E

FR1W

Barn2E

Bio3E

Bio3E

Cage3W

Cage3W

Cage3E

Barn4E

FR3W

Lots of data

4

1

1

1

1

4

3

1

3

2

3

3

1

3

1

4

2

2

2

2

1

1

1

1

1

2

3

4

3

3

4

1

1

4

2

2

2

2

1

1

2

1

1

1

3

4

3

3

4

1

2

1

2

2

2

2

1

1

2

1

4

1

3

3

4

1

1

1

2

3

3

3

2

2

3

3

1

4

4

1

4

1

1

4

1

4

1

1

1

4

1

1

2

3

3

3

3

2

4

3

1

1

Raw results

4

4

4

4

4

4

4

4

3

3

3

3

3

3

3

3

4

4

4

4

4

4

3

3

3

3

3

3

3

3

3

3

9

9

9

9

9

9

9

9

9

9

9

9

9

9

9

9

9

9

8

8

8

8

8

8

8

8

8

8

8

8

8

8

8

8

2

8

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

2

1

2

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

1

3

3

2

0

3

1

3

2

3

0

0

3

1

0

3

0

2

0

1

2

0

0

1

0

1

3

1

1

0

2

0

1

3

0

2

0

1

2

0

0

3

1

1

1

1

1

0

2

0

1

0

3

2

2

1

2

0

0

3

1

1

1

2

1

1

2

2

3

0

3

0

3

1

1

2

1

2

1

3

3

3

3

0

3

2

1

2

0

3

1

2

3

0

3

0

3

1

1

1

2

2

2

2

2

2

2

2

2

2

1

2

2

2

2

2

1

1

2

2

1

2

1

2

1

2

2

1

1

2

1

2

2

2

2

1

2

1

2

2

1

2

1

2

2

1

1

2

2

2

2

2

2

1

2

1

2

1

2

2

2

2

2

1

1

2

2

2

2

1

2

2

2

2

2

2

2

1

2

1

2

2

2

2

2

2

2

2

2

2

1

2

2

2

2

1

2

1

2

2

2

28A1

28A2

29A

30A

31A

32A

17B

18B

20A

21A

22A

23A

24A

25A

26A

27A

13C

14C

15C

16C

17A

18A1

18A2

19A

6C

7C

8C1

8C2

9C

10C

11C

12C

14B2

15B

16B

1C

2C

3C

4C

5C

7B

8B

9B

10B

11B

12B

13B

14B1

16A

1B

2B

3B

4B1

4B2

5B

6B

9A

10A1

10A2

11A

12A

13A

14A

15A

17C

18C

19C

20C

21C

22C

23C

24C

25C

26C1

26C2

27C

28C

29C

19B

20B

21B

22B1

22B2

23B

24B

25B

26B

27B

28B

29B

30B

31B

32B1

32B2

1225.7

1209.5

745.7

944.8

900.7

1073.7

1030.7

626.3

564.7

542.4

632.3

736.7

951.6

619.5

820.2

1470.0

1109.1

1574.4

1664.4

1624.2

1493.8

799.7

827.7

1912.6

863.1

1096.3

1170.6

494.4

1144.9

1005.7

928.9

1772.2

1744.6

1811.8

1386.4

1076.1

753.3

1165.3

839.2

498.1

1170.7

2581.2

1542.9

1506.2

789.7

919.3

1384.7

1948.9

2109.3

1280.8

701.3

787.1

1264.4

1900.3

1047.2

1445.5

990.3

635.4

536.8

634.4

808.9

572.4

441.2

980.9

647.0

1275.9

940.5

689.4

848.8

743.9

945.7

843.5

1462.5

697.1

819.6

666.9

836.0

736.6

600.4

633.7

1863.6

750.0

700.8

2301.0

953.8

769.9

reg/non-reg

2

2

2

2

1A

2A

3A

4A

5A

6A

7A

8A

665.6

624.9

624.3

668.9

361.9

838.1

1818.6

981.7

582.3

722.4

694.7

1002.6

1788.1

932.1

2625.1

1335.1

126.8

73.7

341.4

416.7

99.0

108.7

82.5

93.3

59.7

55.2

386.6

25.8

470.4

813.0

33.4

425.4

368.2

330.7

335.4

71.2

104.3

68.6

174.0

91.5

45.7

294.5

64.0

364.2

27.9

347.9

117.9

63.9

96.2

306.4

62.3

189.5

427.5

44.8

38.3

36.0

37.9

101.0

61.8

42.0

216.1

509.2

400.3

605.5

42.4

336.7

722.8

40.1

43.7

35.3

45.0

85.2

67.8

69.4

54.1

215.0

397.5

459.9

63.8

323.4

122.1

44.9

43.2

171.8

60.5

47.6

159.0

475.0

47.4

60.5

77.9

55.1

76.9

104.3

56.0

81.5

95.0

81.9

81.9

319.2

291.5

105.8

282.4

161.4

81.1

75.3

516.9

426.6

74.4

99.5

112.3

94.4

79.4

92.6

443.0

55.7

456.2

32.5

Unknown 2

26.2

41.7

49.5

31.3

57.9

58.9

53.6

124.0

79.7

97.6

100.1

92.8

81.7

23.6

27.1

74.8

27.6

146.6

74.1

65.9

23.3

27.7

100.1

112.7

128.9

100.9

80.6

50.6

18.5

125.5

30.0

23.4

131.1

67.7

23.4

31.6

60.5

107.9

47.8

103.9

60.5

27.2

20.8

33.4

29.2

41.0

22.6

29.7

18.7

24.9

28.0

41.7

101.7

42.6

161.8

93.3

27.4

16.2

34.4

25.1

14.4

25.2

106.6

57.5

93.2

29.6

46.8

35.7

32.2

36.0

33.1

28.0

27.9

75.2

41.6

25.4

28.3

27.6

35.5

36.8

94.3

39.3

39.6

159.0

43.8

30.6

19.0

23.6

31.1

41.5

28.6

19.9

31.0

70.7

64.6

66.0

29.8

17.1

17.7

20.4

55.2

29.6

Unknown 3

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

15.77

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

13.53

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

8.03

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

Unknown 4

0.00

0.00

0.00

0.00

0.00

0.00

16.56

0.00

0.00

0.00

0.00

0.00

12.91

0.00

15.15

15.51

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

20.07

0.00

0.00

0.00

0.00

17.67

0.00

27.08

18.88

18.10

17.53

0.00

0.00

0.00

0.00

0.00

0.00

24.37

0.00

0.00

0.00

0.00

0.00

17.72

0.00

27.40

24.98

0.00

25.47

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

25.46

0.00

0.00

0.00

0.00

0.00

0.00

0.00

92.22

25.79

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

16.39

0.00

0.00

0.00

0.00

0.00

0.00

82.36

134.39

16.94

0.00

0.00

0.00

0.00

0.00

0.00

0.00

10.51

0.00

0.00

0.00

0.00

0.00

Unknown 5 B-apo-carotenal Unknown 6 Unknown 7 Unknown 8 B-Carotene

0.00

0.00

0.00

0.00

0.00

0.00

15.73

0.00

0.00

0.00

0.00

0.00

10.29

0.00

16.42

10.82

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

8.38

0.00

0.00

0.00

0.00

9.34

0.00

14.06

11.21

6.93

11.23

0.00

0.00

0.00

0.00

0.00

0.00

17.06

0.00

0.00

0.00

0.00

0.00

10.58

0.00

12.63

28.92

0.00

13.22

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

15.56

0.00

0.00

0.00

0.00

0.00

0.00

0.00

22.46

11.89

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

8.46

0.00

0.00

0.00

0.00

0.00

0.00

29.19

46.55

9.91

0.00

0.00

0.00

0.00

0.00

0.00

0.00

14.97

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

414.3

Sum

16.79

37.92

22.12

32.61

29.87

97.48

17.40

43.04

47.67

143.71

80.86

36.76

75.85

16.62

17.24

22.97

43.32

71.77

44.78

52.57

22.03

23.64

32.55

75.67

88.53

68.75

48.41

34.73

19.78

24.78

30.15

16.17

43.58

36.46

21.26

18.34

32.01

55.86

33.49

120.60

18.50

18.02

14.13

34.67

23.28

62.03

13.79

25.77

19.12

21.15

24.00

27.49

46.32

23.07

55.31

50.12

11.81

14.61

10.31

15.63

9.38

22.76

46.92

24.58

41.40

14.71

19.63

12.29

17.22

36.56

13.54

36.59

19.81

38.49

21.07

16.18

20.84

23.73

22.59

37.67

15.04

16.29

33.18

32.32

22.18

20.98

32.43

50.52

34.13

35.86

23.14

24.67

23.26

22.60

53.93

13.26

39.78

17.64

14.08

51.15

21.52

13.34

14.34

18.75

24.51

38.09

23.53

76.20

11.28

31.40

35.99

124.76

57.44

30.33

71.28

13.34

14.48

19.81

23.71

44.02

41.35

41.21

19.46

12.23

23.91

57.49

71.51

38.66

30.66

27.45

12.64

25.89

24.67

10.92

26.90

36.35

17.15

12.82

24.55

41.01

27.04

113.38

31.13

17.61

7.96

32.19

14.64

35.77

6.39

14.33

17.32

9.15

16.01

19.81

32.09

21.37

47.53

32.23

9.98

12.27

13.09

16.01

6.56

15.60

31.71

22.15

33.45

13.23

16.66

11.42

11.34

34.93

12.21

38.12

19.69

23.29

15.15

10.38

11.72

18.00

16.13

28.36

9.74

11.70

16.20

22.92

11.90

11.52

26.26

31.04

25.28

25.63

14.87

19.82

17.08

20.11

42.87

9.23

24.71

7.89

14.14

36.10

17.81

8.17

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

543.78

406.87

0.00

0.00

0.00

0.00

0.00

0.00

0.00

239.66

0.00

0.00

0.00

0.00

0.00

356.77

0.00

0.00

0.00

0.00

0.00

0.00

0.00

209.25

579.06

0.00

0.00

0.00

0.00

170.56

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

148.10

0.00

0.00

0.00

0.00

225.07

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

552.99

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

7.22

7.70

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

0.00

6.81

0.00

506.96

0.00

0.00

0.00

0.00

0.00

0.00

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

1729.9

2062.0

2051.7

1866.0

1843.4

1716.2

1584.9

2136.0

1163.2

1669.7

1864.0

1543.8

1594.3

1334.5

1379.9

2107.7

2176.0

2139.6

1654.3

1749.8

1247.2

1872.4

1619.9

581.0

1547.7

3046.4

1784.1

1741.1

1728.2

1409.5

1945.1

2322.6

1160.2

1242.9

966.3

1395.9

1555.7

2103.2

517.3

1476.1

2466.1

1494.9

1275.0

1266.6

1805.8

2240.8

1546.4

1917.8

1174.7

962.5

985.1

1237.9

420.1

1249.6

2153.9

1149.8

1230.7

1108.3

1098.1

1387.3

2095.7

1368.5

3095.3

1628.6

1264.5

1533.4

1080.1

1056.1

1125.7

1322.3

1539.1

1740.6

1753.6

1614.0

965.0

1031.1

1324.2

1712.6

1018.0

2036.2

1417.4

1406.3

1143.4

1221.3

1356.2

1718.2

1284.2

1508.8

650.8

1274.8

1435.6

2087.5

1573.2

1523.3

1468.6

1732.4

2170.0

1135.7

1036.3

2748.9

1097.4

1082.4

0.0

549.7

886.9

260.2

0.0

291.8

32.7

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

83.7

0.0

0.0

0.0

0.0

0.0

329.4

0.0

401.5

0.0

0.0

468.3

0.0

459.5

0.0

0.0

0.0

0.0

0.0

0.0

325.4

0.0

308.3

0.0

0.0

489.4

0.0

621.9

0.0

0.0

0.0

0.0

0.0

0.0

0.0

224.5

0.0

280.7

0.0

0.0

0.0

0.0

230.9

0.0

0.0

0.0

0.0

0.0

0.0

0.0

0.0

115.3

0.0

823.7

320.4

1263.8

0.0

19.5

0.0

272.7

0.0

0.0

0.0

0.0

0.0

276.0

224.4

30.0

0.0

212.8

344.1

0.0

1214.0

515.3

816.1

513.7

0.0

512.2

0.0

275.8

0.0

0.0

0.0

0.0

0.0

0.0

Statistical analysis

8

4

0

BIO22

BIO8

BIO15

BIO

BIO4

BIO18

BIO17

BIO10

BIO14

0

BA9

BA5 smp25 BA4

2

FR5

FR12

FR13

4

Class1

6

BA12

BA3

FR11

8

BA2

Scientific validation

 Cross-validation with training set: all organic and 24 out of 26 non-organic egg samples were correctly classified

 Validation with new eggs from 12 organic and 12 conventional farms from

● The Netherlands

● New Zealand

Validation with new eggs

3

1

-1

BIO BA-unk6

BA-unk2

BA-unk1

FR-unk1

Org-unk2

Org/-unk3

Org-unk9

Org-unk8

Org-unk10

4

BA-unk4

BA-unk5

Class 1

8

FR-unk2

Org-unk7

12

Canada

Taiwan

Organic egg classification based on model for Dutch eggs

EU: 1 Belgian, 1 Greek and 1 Italian farm unusual

Application

 For certifiers

 For farmers/trade

 For NGO’s

 For research

 For the press

Supply-chain: pro-active, red/green light,

100% check

 In industry

 100% check

 Anomaly testing

(red/green light)

 Rapid, low-cost, in-/atline detection

Multiple markers: wine

Meat testing

 Hyperspectral measurements

Principles hyperspectral imaging

Principles hyperspectral imaging 2

Comparison organic/conventional beef

Potentials and limitations

 Interdisciplinary developments: social sciences/food science/chemistry/physics/statistics/economics/financial world

 Technology allowing more detailed evaluations

 Limitations: one can only find differences if they are present (consistently)....

Outlook food authentication

 Interaction with social sciences required to understand what would be perceived as a fraud opportunity which will allow eventually science-based determination of critical temptation points

 Developments in authentication in confirmatory laboratory testing, especially with regard to fingerprinting

 New opportunities to measure in industrial environment

Thanks

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