Low Emission Zones (LEZs) are areas where the most polluting vehicles are restricted from entering. The effectiveness of LEZs to lower ambient exposures is under debate. This study focused on LEZs that restricted cars of Euro 1 standard without appropriate retrofitting systems from entering and estimated LEZ effects on NO₂, NO, and NO_x ( = NO₂+NO). Continuous half-hour and diffuse sampler 4-week average NO₂, NO, and NO_x concentrations measured inside and outside LEZs in 17 German cities of 6 federal states (2005–2009) were analysed as matched quadruplets (two pairs of simultaneously measured index values inside LEZ and reference values outside LEZ, one pair measured before and one after introducing LEZs with time differences that equal multiples of 364 days) by multiple linear and log-linear fixed-effects regression modelling (covariables: e.g., wind velocity, amount of precipitation, height of inversion base, school holidays, truck-free periods). Additionally, the continuous half-hour data was collapsed into 4-week averages and pooled with the diffuse sampler data to perform joint analysis. More than 3,000,000 quadruplets of continuous measurements (half-hour averages) were identified at 38 index and 45 reference stations. Pooling with diffuse sampler data from 15 index and 10 reference stations lead to more than 4,000 quadruplets for joint analyses of 4-week averages. Mean LEZ effects on NO₂, NO, and NO_x concentrations (reductions) were estimated to be at most −2 µg/m³ (or −4%). The 4-week averages of NO₂ concentrations at index stations after LEZ introduction were 55 µg/m³ (median and mean values) or 82 µg/m³ (95th percentile). This is the first study investigating comprehensively the effectiveness of LEZs to reduce NO₂, NO, and NO_x concentrations controlling for most relevant potential confounders. Our analyses indicate that there is a statistically significant, but rather small reduction of NO₂, NO, and NO_x concentrations associated with LEZs.

We analyze the scientific basis and methodology used by the German MAK Commission in their recommendations for exposure limits and carcinogen classification of “granular biopersistent particles without known specific toxicity” (GBS). These recommendations are under review at the European Union level. We examine the scientific assumptions in an attempt to reproduce the results. MAK’s human equivalent concentrations (HECs) are based on a particle mass and on a volumetric model in which results from rat inhalation studies are translated to derive occupational exposure limits (OELs) and a carcinogen classification. We followed the methods as proposed by the MAK Commission and Pauluhn 2011. We also examined key assumptions in the metrics, such as surface area of the human lung, deposition fractions of inhaled dusts, human clearance rates; and risk of lung cancer among workers, presumed to have some potential for lung overload, the physiological condition in rats associated with an increase in lung cancer risk. The MAK recommendations on exposure limits for GBS have numerous incorrect assumptions that adversely affect the final results. The procedures to derive the respirable occupational exposure limit (OEL) could not be reproduced, a finding raising considerable scientific uncertainty about the reliability of the recommendations. Moreover, the scientific basis of using the rat model is confounded by the fact that rats and humans show different cellular responses to inhaled particles as demonstrated by bronchoalveolar lavage (BAL) studies in both species. Classifying all GBS as carcinogenic to humans based on rat inhalation studies in which lung overload leads to chronic inflammation and cancer is inappropriate. Studies of workers, who have been exposed to relevant levels of dust, have not indicated an increase in lung cancer risk. Using the methods proposed by the MAK, we were unable to reproduce the OEL for GBS recommended by the Commission, but identified substantial errors in the models. Considerable shortcomings in the use of lung surface area, clearance rates, deposition fractions; as well as using the mass and volumetric metrics as opposed to the particle surface area metric limit the scientific reliability of the proposed GBS OEL and carcinogen classification.

To estimate a threshold value for the respirable quartz dust concentration and silicosis incidence (1/1, ILO 1980/2000) in the German porcelain worker cohort. Forty incident cases occurred among 17,144 workers. Estimation of the relationship to cumulative respirable quartz dust exposures by using Cox regression with restricted cubic splines (7 knots or less) and fractional polynomials (degrees 5 or less). Threshold estimates were obtained by subtracting candidate values from the time-dependent concentration data (setting the result to zero if negative) and recalculating cumulative exposure. Best threshold estimate was 0.25 mg/m (95% confidence interval: 0.15 to 0.30 mg/m). A concentration threshold for silicosis risk is plausible. A threshold Cox model fitted the data significantly better than a nonthreshold model, summarized the cohort information without a loss in extracted information and more simply than restricted cubic splines and fractional polynomials.

Context: In experimental studies with nanomaterials where translocation to secondary organs was observed, the particle sizes were smaller than 20 nm and were mostly produced by spark generators. Engineered nanostructured materials form microsize aggregates/agglomerates. Thus, it is unclear whether primary nanoparticles or their small aggregates/agglomerates occur in non-negligible concentrations after exposure to real-world materials in the lung. Objective: We dedicated an inhalation study with nanostructured TiO₂ to the following research question: Does the particle size distribution in the lung contain a relevant subdistribution of nanoparticles? Methods: Six rats were exposed to 88 mg/m³ TiO₂ over 5 days with 20% (count fraction) and <0.5% (mass fraction) of nanoscaled objects. Three animals were sacrificed after cessation of exposure (5 days), others after a recovery period of 14 days. Particle sizes were determined morphometrically by transmission electron microscopy (TEM) of ultra-thin lung slices. Since the particles visible are two-dimensional surrogates of three-dimensional structures we developed a model to estimate expected numbers of particle diameters below 100 nm due to the TEM slicing bias. Observed and expected numbers were contrasted in 2 × 2 tables by odds ratios. Results: Comparisons of observed and expected numbers did not present evidence in favor of the presence of nanoparticles in the rat lungs. In simultaneously exposed satellite animals agglomerates of nanostructured TiO₂ were observed in the mediastinal lymph nodes but not in secondary organs. Conclusions: For nanostructured TiO₂, the deposition of nanoscaled particles in the lung seem to play a negligible role.

A German cohort study on 1,528 carbon black production workers estimated an elevated lung cancer SMR ranging from 1.8-2.2 depending on the reference population. No positive trends with carbon black exposures were noted in the analyses. A nested case control study, however, identified smoking and previous exposures to known carcinogens, such as crystalline silica, received prior to work in the carbon black industry as important risk factors.