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Nanotechnology has been considered to have high potential for food packaging applications very early on. The ability to provide additional consumer benefits through the improvement of key properties of packaging materials and the creation of new functionalities means that the increased use of nanomaterials and nanotechnologies is highly likely. It has however up to now failed to reach the widespread use that was initially expected, mainly because of remaining uncertainties on the safety of these materials during the various stages of their life-cycle, which limit legal and consumer acceptance. This paper aims at presenting the latest developments in the field of nanotechnologies for food packaging applications, describing the legal framework linked to their usage and attempts to clarify the current knowledge of the safety of these materials both for the consumer and the environment. It is shown that particulate migration into foodstuff is absent in many applications, which drastically reduces the potential risk during the use phase of packaging materials, i.e. the exposure of the consumer to nanoparticles. Other release routes are also evaluated, showing that, although safe in normal use conditions, prudence should still be used, especially with regard to release after disposal of the materials. Copyright © 2016 The Authors Packaging Technology and Science Published by John Wiley & Sons Ltd

The toxicological assessment of chemically complex food matrices (CCFM) usually is very time consuming, expensive and uses many animal studies. Improvements to obtain a more efficient assessment process remain limited as long as we retain traditional approaches to toxicological risk assessment. New concepts would be needed to achieve real innovations in risk assessment. The threshold of toxicological concern (TTC) potentially is such a concept that has existed for many years and recently has been further developed. The safety of CCFM is difficult to assess as there are numerous unknown substances present (often referred to as 'Forest-of-Peaks' in chromatographic analysis). Usually, for the evaluation of CCFM, a full safety assessment approach involving animal studies is needed, but the exposure to most substances is low and TTC might be applicable. However, to apply TTC efficiently to CCFM, a strategy is needed to deal with large numbers of unknowns (substances of which structural information is lacking). Therefore, we have drafted a framework for application of TTC in safety assessment of CCFM. This paper describes the criteria and development of the framework proposing a stepwise approach for the application of TTC in safety assessment of CCFM and future developments required.

In order to assess the risk of unintended exposure to food allergens, traditional deterministic risk assessment is usually applied, leading to inconsequential conclusions as 'an allergic reaction cannot be excluded'. TNO therefore developed a quantitative risk assessment model for allergens based on probabilistic techniques resulting in a more exhaustive risk assessment and more detailed information. By now, this approach is recognized as the future approach in allergen risk assessment. A case study (hazelnut proteins in chocolate spread) is presented as a proof of concept. © 2006 Elsevier Ltd. All rights reserved.

A key issue in toxicological risk assessment is determining the effect level below which there is no reason for concern. In the Benchmark approach, this breaking point between adverse and non-adverse is called the critical effect size (CES). This study aimed to investigate the possibilities to determine CESs for toxicological effect parameters commonly used in human risk assessment and includes a literature review and an opinion analysis among European toxicologists. The results indicate that the current knowledge is insufficient to define CESs for all individual parameters. Furthermore, the use of a single universal CES seems no option. It is concluded that it is not yet possible to reach international consensus on CESs for most toxicological parameters. However, every parameter for which consensus on the CES is reached is a step forward, because this can facilitate discussions on the adversity and relevance of certain changes in that parameter, irrespective of the method applied in risk assessment. © 2001 Elsevier Science B.V.

One of the main challenges in food contact materials research is to prove that the presence of non-intentionally added substances (NIAS) is not a safety issue. Migration extracts may contain many unknown substances present at low concentrations. It is difficult and time-consuming to identify all these potential NIAS and concurrently to assess their health risk upon exposure, whereas the health relevance at low exposure levels might not even be an issue. This paper describes a scientifically based, but pragmatic safety assessment approach for unknown substances present at low exposure levels in food contact matrices. This complex mixture safety assessment strategy (CoMSAS) enables one to distinguish toxicologically relevant from toxicologically less relevant substances, when related to their respective levels of exposure, and allows one to focus on the substances of potential health concern. In particular, substances for which exposure will be below certain thresholds may be considered not of health relevance in case specific classes of substances are excluded. This can reduce the amount of work needed for identification, characterisation and evaluation of unknown substances at low concentration. The CoMSAS approach is presented in this paper using a safety assessment of unknown NIAS that may migrate from three carton samples. © 2014 Taylor & Francis. Chemicals/CAS: aflatoxin, 1402-68-2; aflatoxin B1, 1162-65-8; aflatoxin B2, 7220-81-7; aflatoxin G1, 1165-39-5; aflatoxin G2, 7241-98-7; aflatoxin M1, 6795-23-9; ergocornine, 564-36-3; ergocristine, 511-08-0; ergocryptine, 511-09-1; ergometrine, 60-79-7; ergotamine, 113-15-5, 52949-35-6; ether, 60-29-7; fumonisin B1, 116355-83-0; HT 2 toxin, 26934-87-2; nivalenol, 23282-20-4; ochratoxin, 303-47-9, 37203-43-3; T 2 toxin, 21259-20-1; vomitoxin, 51481-10-8; zearalenone, 17924-92-4

In this study, the within-animal variation in routinely studied continuous toxicological parameters was estimated from temporal fluctuations in individual healthy nonexposed animals. Assuming that these fluctuations are nonadverse, this within-animal variation may be indicative of the minimal magnitude of the critical effect size (CES). The CES is defined as the breaking point between adverse and nonadverse changes in a continuous toxicological parameter, at the level of the individual organism. The total variation in the data from individual nonexposed animals was divided in variation parts due to known factors (differences in sex, animal, and day) and a residual variation, by means of analysis of variance. Using the residual variation and the estimated analytical measurement error of a toxicological parameter, the within-animal variation can be estimated. The data showed within-animal variations ranging between 0.6% and 34% for different clinical chemistry and hematological parameters in 90-day rat studies. This indicates that different (minimal) CES values may be applicable for different parameters. © 2006 Society for Risk Analysis.

Due to a lack of route-specific toxicity data, the health risks resulting from occupational exposure are frequently assessed by route-to-route (RtR) extrapolation based on oral toxicity data. Insight into the conditions for and the uncertainties connected with the application of RtR extrapolation has not been clearly described in a systematic manner. In our opinion, for a reliable occupational health risk assessment, it is necessary to have insight into the accuracy of the routinely applied RtR extrapolation and, if possible, to give a (semi-)quantitative estimate of the possible error introduced. Therefore, experimentally established no-observed-adverse-effect-levels for inhalation studies were compared to no-adverse-effect-levels predicted from oral toxicity studies by RtR extrapolation. From our database analysis it can be concluded that the widely used RtR extrapolation methodology based on correction for differences in (estimates of) absorption is not generally reliable and certainly not valid for substances inducing local effects. More experimental data are required (from unpublished data or new experiments) to get insight into the reliability of RtR extrapolation and the possibility to derive an assessment factor to account for the uncertainties. Moreover, validated screening methods to predict/exclude the occurrence of local effects after repeated exposure are warranted. Especially, in cases where chemical exposure by inhalation or skin contact cannot be excluded route-specific toxicity studies should be considered to prevent from inadequate estimates of human health risks. © 2003 Elsevier Inc. All rights reserved.

The general goal of this discussion paper is to contribute toward the further harmonization of human health risk assessment. It first discusses the development of a formal, harmonized set of assessment factors. The status quo with regard to assessment factors is reviewed, that is, the type of factors to be identified, the range of values assigned, as well as the presence or absence of a scientific basis for these values. Options are presented for a set of default values and probabilistic distributions for assessment factors based on the state of the art. Methods of combining default values or probabilistic distributions of assessment factors are also described. Second, the effect parameter, the no-observed-adverse-effect level (NOAEL), is discussed. This NOAEL as selected from the toxicological database may be a poor substitute for the unknown, true no-adverse-effect level (NAEL). New developments are presented with respect to the estimation of the NAEL. The already widely discussed Benchmark Dose concept can be extended to obtain an uncertainty distribution of the Critical Effect Dose (CED). This CED distribution can be combined with estimated uncertainty distributions for assessment factors. In this way the full distribution of the Human Limit Value will be derived and not only a point estimate, whereas information on dose-response relations is taken into account. Finally, a strategy is proposed for implementation of the new developments into human health risk assessments.