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The sparse non-negative matrix under-approximation (SNMU) was used to identify mixtures of chemical substances. A k-means clustering classification of the whole study population was then performed to define clusters with similar co-exposure profiles. Overall, 8 mixtures which explained 83% of the total variance, were retained. The first mixture, entitled "Minerals, inorganic contaminants, and furans", explained the highest proportion of the total variance (38%), and was correlated in particular with the consumption of "Offal" (rho = 0.22
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