OBJECTIVES: For regulatory risk assessment under REACH a tiered approach is proposed in which the first tier models should provide a conservative exposure estimate that can discriminate between scenarios which are of concern and those which are not. The Stoffenmanager is mentioned as a first tier approach in the REACH guidance. In an attempt to investigate the validity of the Stoffenmanager algorithms, a cross-validation study was performed. METHODS: Exposure estimates using the Stoffenmanager algorithms were compared with exposure measurement results (n=254). Correlations between observed and predicted exposures, bias and precision were calculated. Stratified analyses were performed for the scenarios "handling of powders and granules" (n=82), "handling solids resulting in comminuting" (n=60), "handling of low-volatile liquids" (n=40) and "handling of volatile liquids" (n=72). RESULTS: The relative bias of the four algorithms ranged between -9% and -77% with a precision of approximately 1.7. The 90th percentile estimate of one out of four algorithms was not conservative enough. Based on these statistics and analyses of residual plots the underlying algorithm was adapted. Subsequently, the calibration and the cross-validation dataset were merged into one dataset (n=952) used for calibrating the adapted Stoffenmanager algorithms. This new calibration resulted in new exposure algorithms for the four scenarios. CONCLUSIONS: The Stoffenmanager is capable of discriminating among exposure levels mainly between scenarios in different companies. The 90th percentile estimates of the Stoffenmanager are verified to be sufficiently conservative. Therefore, the Stoffenmanager could be a useful tier 1 exposure assessment tool for REACH.
OBJECTIVES: For regulatory risk assessment under REACH a tiered approach is proposed in which the first tier models should provide a conservative exposure estimate that can discriminate between scenarios which are of concern and those which are not. The Stoffenmanager is mentioned as a first tier approach in the REACH guidance. In an attempt to investigate the validity of the Stoffenmanager algorithms, a cross-validation study was performed. METHODS: Exposure estimates using the Stoffenmanager algorithms were compared with exposure measurement results (n=254). Correlations between observed and predicted exposures, bias and precision were calculated. Stratified analyses were performed for the scenarios "handling of powders and granules" (n=82), "handling solids resulting in comminuting" (n=60), "handling of low-volatile liquids" (n=40) and "handling of volatile liquids" (n=72). RESULTS: The relative bias of the four algorithms ranged between -9% and -77% with a precision of approximately 1.7. The 90th percentile estimate of one out of four algorithms was not conservative enough. Based on these statistics and analyses of residual plots the underlying algorithm was adapted. Subsequently, the calibration and the cross-validation dataset were merged into one dataset (n=952) used for calibrating the adapted Stoffenmanager algorithms. This new calibration resulted in new exposure algorithms for the four scenarios. CONCLUSIONS: The Stoffenmanager is capable of discriminating among exposure levels mainly between scenarios in different companies. The 90th percentile estimates of the Stoffenmanager are verified to be sufficiently conservative. Therefore, the Stoffenmanager could be a useful tier 1 exposure assessment tool for REACH.
Authors: Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper Journal: Ann Work Expo Health Date: 2019-02-16 Impact factor: 2.179
Authors: Eun Gyung Lee; Judith Lamb; Nenad Savic; Ioannis Basinas; Bojan Gasic; Christian Jung; Michael L Kashon; Jongwoon Kim; Martin Tischer; Martie van Tongeren; David Vernez; Martin Harper Journal: Ann Work Expo Health Date: 2019-02-16 Impact factor: 2.179
Authors: Kevin McNally; Nicholas Warren; Wouter Fransman; Rinke Klein Entink; Jody Schinkel; Martie van Tongeren; John W Cherrie; Hans Kromhout; Thomas Schneider; Erik Tielemans Journal: Ann Occup Hyg Date: 2014-03-24
Authors: Andrea Spinazzè; Francesca Borghi; Daniele Magni; Costanza Rovida; Monica Locatelli; Andrea Cattaneo; Domenico Maria Cavallo Journal: Int J Environ Res Public Health Date: 2020-06-11 Impact factor: 3.390
Authors: Andrea Spinazzè; Francesca Borghi; Davide Campagnolo; Sabrina Rovelli; Marta Keller; Giacomo Fanti; Andrea Cattaneo; Domenico Maria Cavallo Journal: Int J Environ Res Public Health Date: 2019-08-02 Impact factor: 3.390