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Food contact paper & board chemicals: establishing priorities by “Exploration” strategies Eelco Nicolaas Pieke Research Group for Analytical Food Chemistry National Food Institute of Denmark Webinar 08 February 2018

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Food contact paper & board chemicals: establishing priorities by “Exploration” strategies

Eelco Nicolaas Pieke

Research Group for Analytical Food Chemistry

National Food Institute of Denmark

Webinar 08 February 2018

DTU Food, Technical University of Denmark 08 February 2018

Agenda

• Why are NIAS (potentially) a problem?

• What is “Exploration”?

• Determining how much is present: semi-quantification

• Investigating what is present: tentative identification

• Risk prioritization

2

DTU Food, Technical University of Denmark 08 February 2018

Assessment of chemicals is knowledge-based

3

Intentional or not?

Chemical identity Knowledge

DTU Food, Technical University of Denmark 08 February 2018

Assessment of chemicals is knowledge-based

4

For NIAS: Most of these factors are unknown

Intentional or not?

Chemical identity Knowledge

DTU Food, Technical University of Denmark 08 February 2018

Why NIAS are (potentially) a problem

5

A. Ensuring safety is knowledge-based

B. We have very little knowledge of NIAS

C. We do not have tools to improve knowledge

NIAS What we know …

DTU Food, Technical University of Denmark 08 February 2018 6

How the knowledge gap affects NIAS

DTU Food, Technical University of Denmark 08 February 2018

The tip of the iceberg

7

IAS Known NIAS Easiest to investigate

DTU Food, Technical University of Denmark 08 February 2018

The bottom of the iceberg

8

Lots of

Unknown NIAS

Hardest to investigate

DTU Food, Technical University of Denmark 08 February 2018

NIAS

• Exploration is a type of untargeted discovery in complex samples

IAS

What is chemical exploration?

9

Targeted methods Based on existing knowledge

Exploration Building knowledge

DTU Food, Technical University of Denmark 08 February 2018

Where does chemical exploration work?

• Exploration is the first step in filling information gaps in early-stage assessments

• It seeks to provide:

– A rough concentration estimate

– Suggestions for possible chemical structures

– Assist in risk prioritization

10

No data

Full data

Estimates

Exploration

DTU Food, Technical University of Denmark 08 February 2018

Performing exploration

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LC-QTOF-MS

LC Liquid Chromatography

QTOF Quadrupole x Time of Flight

MS Mass Spectrometry

TCM

Total Migratable Content: The chemical

portion of a sample that has potential to

migrate to food.

Exploration is a unbiased analysis

+ a wide-sweep extraction

DTU Food, Technical University of Denmark 08 February 2018

Exploring the world of chemicals

12

Quantitative data

How much is there?

DTU Food, Technical University of Denmark 08 February 2018

Obtaining non-target semi-quantitative data

13

Untargeted quantification

Marker

Analyte

Pieke, E.N. et al., 2017. Analytica Chimica Acta, 975, pp.30–41. http://dx.doi.org/10.1016/j.aca.2017.03.054

DTU Food, Technical University of Denmark 08 February 2018

Obtaining non-target semi-quantitative data

14

0

20

40

60

80

100

120

140

1 2 3 4 5 6 7 8

Max. 3-fold error

Untargeted quantification

Semi- quantify

Marker

Analyte Analyte

Pieke, E.N. et al., 2017. Analytica Chimica Acta, 975, pp.30–41. http://dx.doi.org/10.1016/j.aca.2017.03.054

DTU Food, Technical University of Denmark 08 February 2018

Obtaining non-target semi-quantitative data

15

-> Fast: 1 sample; 1 analytical run

-> Independent on identification

-> Works on any detectable compound

-> Large error margins

-> Requires dedicated optimization

0

5

10

15

20 Max. Conc.

Min. Conc.

Features

Pieke, E.N. et al., 2017. Analytica Chimica Acta, 975, pp.30–41. http://dx.doi.org/10.1016/j.aca.2017.03.054

DTU Food, Technical University of Denmark 08 February 2018

Exploring the world of chemicals

16

Semi-quantitative data

0

20

40

60

80

100

120

140

1 2 3 4 5 6 7 8

Conc.

How much is there?

DTU Food, Technical University of Denmark 08 February 2018

Exploring the world of chemicals

17

0

20

40

60

80

100

120

140

1 2 3 4 5 6 7 8

Conc.

Chemical structure data

How much is there? What is there?

Semi-quantitative data

DTU Food, Technical University of Denmark 08 February 2018

Ambiguous structural identifications

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Controlled Fragmentation Similarity Correlations

?

First molecule in DB1

Second molecule in DB1

Third molecule in DB3

Database #1

First molecule in DB2

Second molecule in DB2

Database #2

?

Outputs

Pieke, E.N., Smedsgaard, J. & Granby, K., 2017. Journal of Mass Spectrometry. http://dx.doi.org/10.1002/jms.4052

DTU Food, Technical University of Denmark 08 February 2018

Using multiple database correlations

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• Reports the best-matching structure from a database

• Database are easy to generate

• Independent from reference standards

• Predictions are limited to database scope

• Predictions are in silico, hence error prone

Pieke, E.N., Smedsgaard, J. & Granby, K., 2017. Journal of Mass Spectrometry. http://dx.doi.org/10.1002/jms.4052

DTU Food, Technical University of Denmark 08 February 2018

Exploration as an investigative tool

20

0

20

40

60

80

100

120

140

1 2 3 4 5 6 7 8

Conc.

Suggested structures

How much is there? What is there?

Semi-quantitative data

DTU Food, Technical University of Denmark 08 February 2018

Converting semi-quantification to exposure

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1 kg

Worst case

(used by the European Food Safety Authority)

1 dm2

Example case

(used in our research studies)

DTU Food, Technical University of Denmark 08 February 2018

Estimating the intake

22

• Gives an estimated daily intake per person per day (μg/person/day)

Total migratable content for 1 dm2 of contact =

𝐢𝐧𝐭𝐚𝐤𝐞 = f( C total) C total = C i

𝑛

𝑖=1

Assume:

1 dm2

DTU Food, Technical University of Denmark 08 February 2018

Converting structure to hazard

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1. Tentative identification gives multiple structure

suggestions per discovered chemical

2. Significant probability that toxicological information

does not exist for most tentative identifications

DTU Food, Technical University of Denmark 08 February 2018

Using QSAR for predicting effects

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Developmental

Toxicity

Carcinogenicity

Mutagenicity

Cramer

Classification

???

Q SAR –

Computer-based toxicity predictions

Model evaluation

DTU Food, Technical University of Denmark 08 February 2018

Evaluating risk based on approximated data

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• We may not be able to calculate the true risk from approximated data, but …

• We can still get a nonconclusive perception of risk useful for risk priority

Estimated Hazard Exposure

Risk Likeliness

Toxicity (QSAR) + Identity (Pred.) =

Quantity (Semi-Q) + Identity (Pred.) =

DTU Food, Technical University of Denmark 08 February 2018

The classification of chemical substances

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Rule-based decisions

Human expertise decisions

”Are exposure thresholds exceeded?”

“Is the presence of this compound acceptable?”

Classification

Estimated exposure

Predicted hazards

Chemical structures

Pieke, E.N., Granby, K., Teste, B., Smedsgaard, J. & Rivière, G., 2018. Article in preparation.

DTU Food, Technical University of Denmark 08 February 2018

The big picture of risk prioritization

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Compound of Direct Concern

Compound of Lesser Concern

Exploration data

Semi-quantitative

Tentative identity

ExpertAssessment

Insufficient information

Risk ranking

1. Compound α

2. Compound β

3. Compound γ

4. Compound δ

5. Compound ε

Pieke, E.N., Granby, K., Teste, B., Smedsgaard, J. & Rivière, G., 2018. Article in preparation.

DTU Food, Technical University of Denmark 08 February 2018

What Exploration & Prioritization IS NOT

• It is not a replacement for or a way to avoid Risk Assessment

• It is not a complete representative image of chemicals in food

• It is not intended to replace hazard / exposure assessment or migration testing

• It is not a definitive answer to an increasingly difficult question

… but is a step in the direction of comprehending this problem

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DTU Food, Technical University of Denmark 08 February 2018

What Exploration & Prioritization IS

• It is a way to provide early-stage knowledge on undiscovered chemicals

• It is capable to obtain preliminary assessments for possible hazards and exposures

• It is a way to identify possible risk from poorly-studied or unexpected chemicals

• It is a strategy to assist in knowledge-building and aiding Risk Assessment by

providing a way to prioritize chemical compounds

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DTU Food, Technical University of Denmark 08 February 2018

Back at the intersection of choice

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DTU Food, Technical University of Denmark 08 February 2018

Thank you for your attention

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Thanks to:

• Kit Granby

• Jørn Smedsgaard

• Gilles Riviere

• Bruno Teste

Eelco Nicolaas Pieke * enpi(at)food.dtu.dk

• Elena Boriani