Revealed preferences on meat substitute consumption and political attitudes - Testing the left-right and environmental concerns framework.

The promotion of meat substitutes to reduce meat intake is a promising way to reduce the environmental and public health externalities of meat consumption while preserving the important role of taste and texture in meat products. However, the market for meat substitutes is developing more slowly than expected. Therefore, we analyze the factors associated with the heterogeneity in meat substitute consumption in Germany, a country where meat traditionally plays an important role. We use revealed preference data on meat substitute sales from 1025 individual retailers, sociodemographic data, and election results from 92 regions in Germany over the period 2017-2021, to analyze whether differences in meat substitute consumption are associated with consumers' political orientation (liberal/left or conservative/right) and socio-demographic variables. We also investigate whether election results for parties with stronger climate protection goals are associated with meat substitute consumption. Our results show that meat substitute consumption varies significantly across Germany and that this is related to differences in socio-demographic characteristics and voting behavior across regions. Voting for the Green Party and parties with strong climate protection ambitions is positively related to the market share of meat substitutes. In contrast, voting for Germany's most conservative party, which has the lowest ambitions in terms of climate protection targets, is associated with lower meat substitute consumption. Therefore, manufacturers could develop tailored marketing strategies that specifically target these voter groups in order to increase the market share of meat substitutes as alternatives to meat products.

Comparing meat and meat alternatives: an analysis of nutrient quality in five European countries.

OBJECTIVE: To assess and compare the (macro-)nutritional composition of red meat (RM) and poultry meat (PM) products with the emerging category of meat substitutes. DESIGN: We use information on nutritional values per 100 g to estimate the differences in the nutritional composition between RM, PM, vegan meat substitute (VMS) and non-vegan meat substitute (NVMS) and derive six unique meat product clusters to enhance the comparability. SETTING: Meat markets from five major European countries: France, Germany, UK, Italy and Spain. PARTICIPANTS/DATA: Product innovation data for 19 941 products from Mintel's Global New Product Database from 2010 to 2020. RESULTS: Most of the innovations in the sample are RM products (55 %), followed by poultry (30 %), VMS (11 %) and NVMS (5 %). RM products exhibit a significantly higher energy content in kcal/100 g as well as fat, saturated fat, protein and salt all in g/100 g than the meatless alternatives, while the latter contain significantly more carbohydrates and fibre than either poultry or RM. However, results differ to a certain degree when products are grouped into more homogeneous clusters like sausages, cold cuts and burgers. This indicates that general conclusions regarding the health effects of substituting meat with plant-based alternatives should only be drawn in relation to comparable products. CONCLUSIONS: Meat substitutes, both vegan and non-vegan, are rated as ultra-processed foods. However, compared with RM products, they and also poultry products both can provide a diet that contains fewer nutrients-to-limit, like salt and saturated fats.

Commercial scale transfer of a twin-screw melt granulation process for high drug load fevipiprant tablets.

OBJECTIVE: This work summarizes select methodology of twin-screw melt granulation (TSMG) and process analytical technology that were used in the successful scaling-up and commercial transfer of high drug load (80.5% w/w) immediate release fevipiprant tablets. SIGNIFICANCE: The unique and compelling learnings from this industry work are (1) insights into Novartis AG's commercial scale transfer using TSMG and (2) rapid, nondestructive NIR methodology as a PAT tool for RTR testing. No prior literature combines these two aspects at the level of detail we present/disclose. METHODS: Scaling up of TSMG was guided by specific energy values obtained for the 27 mm (pilot scale) and 50 mm (commercial scale) twin-screw extruders (TSE). Proven acceptable ranges (PARs) were confirmed by varying the critical process parameters (CPPs) for granulation (screw speed) and tableting (dwell time and crushing strength) at three process levels (upper, target, and lower). An at-line NIR method was developed and validated for real-time release testing (RTRT). RESULTS: The combination of CPPs were selected to have the same effect on critical quality attributes (CQAs), that is, lower (-) and upper (+) process level challenged tablet aspect/appearance and dissolution, respectively. TSMG was performed using a 50 mm extruder at constant feed rate. Compression of the six final blends (∼300 kg) showed no impact of varied granulation and compression process conditions on both CQAs. A near-infrared spectroscopy method was validated to determine content uniformity, assay, identity, and to predict CQAs on uncoated tablets in preparation for a real RTRT of future batches.

Establishing the Safe Space via Physiologically Based Biopharmaceutics Modeling. Case Study: Fevipiprant/QAW039.

Physiologically based pharmacokinetic and absorption modeling has increasingly been implemented for biopharmaceutics applications to define the safe space for drug product quality attributes such as dissolution. For fevipiprant/QAW039, simulations were performed to assess the impact of in vitro dissolution on the in vivo performance of immediate-release film-coated tablets during development and scaling up to commercial scale. A fevipiprant dissolution safe space was established using observed clinical intravenous and oral PK data from bioequivalent and non-bioequivalent formulations. Quality control dissolution profiles with tablets were used as GastroPlus™ model inputs to estimate the in vivo dissolution in the gastrointestinal tract and to simulate human exposure. The model was used to evaluate the intraluminal performance of the dosage forms and to predict the absorption rate limits for the 450 mg dose. The predictive model performance was demonstrated for various oral dosage forms (150‒500 mg), including the non-bioequivalent batches in fasted healthy adults. To define the safe space at 450 mg, simulations were performed using theoretical dissolution profiles. A specification of Q = 80% dissolved in 60 min or less for an immediate-release oral solid dosage form reflected the boundaries of the safe space. The dissolution profile of the 450 mg commercial scale batch was within a dissolution region where bioequivalence is anticipated, not near an edge of failure for dissolution, providing additional confidence to the proposed acceptance criteria. Thus, the safe space allowed for a wider than 10% dissolution difference for bioequivalent batches, superseding f2 similarity analyses.

Development of immediate release 3D-printed dosage forms for a poorly water-soluble drug by fused deposition modeling: Study of morphology, solid state and dissolution.

3D-printing technologies such as Fused Deposition Modeling (FDM) bring a unique opportunity for personalized and flexible near-patient production of pharmaceuticals, potentially improving safety and efficacy for some medications. However, FDM-printed tablets often exhibit tendency for slow dissolution due to polymer erosion-based dissolution mechanisms. Development of immediate release (IR) 3D-printed dosage with poorly water-soluble compounds is even more challenging but necessary to ensure wide applicability of the technology within pharmaceutical development portfolios. In this work, process and morphology were considered to achieve IR of BCS class IV compound lumefantrine as model active pharmaceutical ingredient (API) using basic butylated methacrylate copolymer (Eudragit EPO) as matrix former, as well as hydrophilic plasticizer xylitol and pore former maltodextrin. Grid-designed tablets with size acceptable for children from 6 years old and varying programmed infill density were successfully 3D-printed with 5% lumefantrine while higher drug load led to increased brittleness which is incompatible with 3D-printing. Lumefantrine assay was 92 to 97.5% of theoretical content depending on drug load and process parameters. 3D-printed tablets with 65% infill density met rapid release criteria, while 80% and 100% showed slower dissolution. Structural characteristics of 3D-printed tablets with non-continuous surface such as accessible porosity and specific surface area by weight and by volume were quantified by a non-destructive automated µCT-based methodology and were found to correlate with dissolution rate. Increase in accessible porosity, total surface area, specific surface area and decrease in relative density were statistically significant critical factors for modification of lumefantrine dissolution rate. Crystallinity in manufactured tablets and filaments was explored by highly sensitive Raman mapping technique. Lumefantrine was present in the fully amorphous state in the tablets exhibiting adequate stability for on-site manufacturing. The study demonstrates feasibility of immediate release FDM-3D-printed tablets with BCS class IV API and illustrates the correlation of FDM design parameters with morphological and dissolution characteristics of manufactured tablets.

Development of immediate release (IR) 3D-printed oral dosage forms with focus on industrial relevance.

Pharmaceutical 3D-printing represents a potentially new dosing and manufacturing approach for the pharmaceutical industry, with unique opportunities for personalization of dosage strengths. Fused deposition modelling (FDM) is a 3D-printing technique, which presents advantages for decentralized on-site manufacturing in hospitals and pharmacies. This study introduces industrially relevant development of formulations for filaments with the required mechanical properties to be 3D-printable and providing immediate release (IR) dosage forms using safe materials approved also for pediatric use. Hydroxypropyl-cellulose (HPC) SSL was chosen as hydrophilic polymer and caffeine with a load of 5-20% as thermally stable model drug. Poly-(vinyl pyrrolidone-vinyl acetate) copolymer (Kollidon VA64) and poly-(vinyl alcohol-polyethylene glycol) graft copolymer (Kollicoat IR) were additional water-soluble polymers tested in combination with HPC and xylitol and polyethylene glycol (PEG) 4000 were evaluated as hydrophilic plasticizers and PEG4000 and maltodextrin as pore formers. Formulations were hot-melt extruded using a scalable twin-screw extruder and 3D-printed into honeycomb geometry solid dosage forms with high (100%) and low (80%) infill density. Rapid or very rapid release was achieved via formulation selection and tablet design parameters. PEG4000 in combination with Kollidon VA64 demonstrated superior processability and significantly accelerated release properties of the matrix independently of infill density. Lowering caffeine content improved hot-melt extrusion processability for each formulation but prolonged dissolution. The use of Kollicoat IR resulted in superior mechanical properties of the manufactured filaments, with easy handling and successful 3D-printing for drug load of 5 to 20%. For most formulations, lowering infill density of 3D-printed tablets yielded faster drug dissolution in agreement with the literature. However, the extent of the infill density effect varied depending on formulation. Caffeine was present in stable crystalline state in 3D-printed tablets. Printing temperature appeared to be critical for drug dissolution in vitro. This wide-ranging excipient investigation epitomizes the beginning of a toolbox approach targeting FDM processability in combination with immediate release characteristics of personalized dosage forms.

Simplification of fused deposition modeling 3D-printing paradigm: Feasibility of 1-step direct powder printing for immediate release dosage form production.

Direct powder three-dimensional (3D)-printing (DPP) of tablets to simplify fused deposition modelling (FDM) was explored. The FDM paradigm involving hot-melt extrusion for making 3D-printable drug-loaded filaments as intermediate products for tablet manufacturing has been gaining attention for the decentralized on-site production of personalized dosage forms. For direct 3D-printing, powder blends were loaded into a cartridge-like head and were successfully printed with honeycomb design following heating of the extrusion cartridge. This 1-step DPP with incorporation of in-built porosity providing higher surface area served as proof of concept for manufacture of rapid release dosage forms. Water soluble hydroxypropylcellulose SSL was chosen as matrix former and caffeine as model drug. The effect of PEG4000 as plasticizer/pore former and Kollidon VA64 as rapidly dissolving polymer on DPP processability and dissolution rate was investigated. Directly 3D-printed tablets with low (30%) infill density showed rapid dissolution independently of the formulation, whereas for high (80%) infill density a combination of PEG4000 and Kollidon VA64 was required to achieve rapid release. The obtained tablets demonstrated good uniformity of percent drug content but had variable weight. Caffeine was present in crystalline state and in the stable polymorph in the tablets. Hence, DPP feasibility for immediate release dosage form manufacture was demonstrated. This technique might create an opportunity to avoid hot-melt extrusion allowing 3D-printing independently of mechanical properties of a filament and potentially prolonging product shelf life by reducing thermal stress.

Meta-analysis data for the literature on dividend smoothing.

The dataset presented in this data article was compiled from 100 published and unpublished empirical studies that employed Lintner׳s dividend payout model or related extensions over the period 1957-2016. Besides the reported degree of dividend smoothing and its estimation precision the data include a wide set of underlying study design characteristics such as the time period of analysis, the type of firms investigated or the econometric estimator employed. The data are related to the research article "What drives dividend smoothing? A meta-regression analysis of the Lintner model" (Fernau and Hirsch, 2018).

The price is right!? A meta-regression analysis on willingness to pay for local food.

We study the literature on willingness to pay (WTP) for local food by applying meta-regression analysis to a set of 35 eligible research papers that provide 86 estimates on consumers' WTP for the attribute "local." An analysis of the distribution of WTP measures suggests the presence of publication selection bias that favors larger and statistically significant results. The analyzed literature provides evidence for statistically significant differences among consumers' WTP for various types of product. Moreover, we find that the methodological approach (choice experiments vs. other approaches) and the analyzed country can have a significant influence on the generated WTP for local.

Taiwanese consumer survey data for investigating the role of information on equivalence of organic standards in directing food choice.

The presentation of credence attributes such as the product's origin or the production method has a significant influence on consumers' food purchase decisions. The dataset includes survey responses from a discrete choice experiment with 1309 food shoppers in Taiwan using the example of sweet pepper. The survey was carried out in 2014 in the three largest Taiwanese cities. It evaluates the impact of providing information on the equality of organic standards on consumers' preferences at the example of sweet pepper. Equality of organic standards implies that regardless of products' country-of-origin (COO) organic certifications are based on the same production regulation and managerial processes. Respondents were randomly allocated to the information treatment and the control group. The dataset contains the product choices of participants in both groups, as well as their sociodemographic information.