@article{41456,
abstract = {{Abstract
Background
The German total diet study (TDS)—BfR MEAL Study—established its food list in 2016 based on food consumption data of children (0.5–<5 years) and adults (14–80 years). The list consists of 356 foods selected for analysis in order to ensure ≥90% coverage of the diet. Recently, new food consumption data for children (0.5–<6 and 6–<12 years) in Germany became available, which raised the opportunity to evaluate the applicability of the MEAL food list 2016 on new data.
Objective
We tested the hypotheses that the MEAL food list 2016 also covers ≥90% of the diet of the new collected food consumption data, and that the selection of foods from younger children and adults was sufficient to also cover the middle age group (6–<12 years). Strategies for updating the existing food list were assessed.
Methods
Three approaches evaluated the reusability and potential adjustment strategies of the existing food list. Approach 1 applied the existing food list to new food consumption data. Approach 2 allowed the extension of the existing food list to improve coverage of food consumption. Approach 3 set up a new food list based on the new data.
Results
The MEAL food list 2016 covered 94% of the overall diet of the new collected food consumption data. The diet of the middle age group was sufficiently covered with 91%. However, coverage on main food group or population subgroup level was <90% in some cases. Approach 3 most accurately identified relevant modifications to the existing food list. 94% of the MEAL food list 2016 could be re-used and 51 new foods were identified as potentially relevant.
Significance
The results suggest that a high investment in the coverage of a TDS food list will lower the effort and the resources to keep data updated in the long-term.
Impact
There is no established approach to update a TDS food list. This study provides comparative approaches to handle newly collected food consumption data for follow-on TDS activities. The results provide useful information for institutions planning or updating a TDS. Furthermore, new food consumption data for children in Germany recently became available and are here presented for the first time.
}},
author = {{Kolbaum, Anna Elena and Ptok, Sebastian and Jung, Christian and Libuda, Lars and Lindtner, Oliver}},
issn = {{1559-0631}},
journal = {{Journal of Exposure Science & Environmental Epidemiology}},
keywords = {{Public Health, Environmental and Occupational Health, Pollution, Toxicology, Epidemiology}},
publisher = {{Springer Science and Business Media LLC}},
title = {{{Reusability of Germany´s total diet study food list upon availability of new food consumption data—comparison of three update strategies}}},
doi = {{10.1038/s41370-023-00522-4}},
year = {{2023}},
}
@article{43092,
abstract = {{By using coordinating anions such as acetate, a water-in-salt-like coordination environment of Zn ions is achieved in relatively dilute conditions, leading to prolonged and efficient cycling of zinc metal anodes.}},
author = {{Gomez Vazquez, Dario and Pollard, Travis P. and Mars, Julian and Yoo, Ji Mun and Steinrück, Hans-Georg and Bone, Sharon E. and Safonova, Olga V. and Toney, Michael F. and Borodin, Oleg and Lukatskaya, Maria R.}},
issn = {{1754-5692}},
journal = {{Energy & Environmental Science}},
keywords = {{Pollution, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment, Environmental Chemistry}},
pages = {{1982--1991 (2023).}},
publisher = {{Royal Society of Chemistry (RSC)}},
title = {{{Creating water-in-salt-like environment using coordinating anions in non-concentrated aqueous electrolytes for efficient Zn batteries}}},
doi = {{10.1039/d3ee00205e}},
volume = {{16}},
year = {{2023}},
}
@article{33834,
abstract = {{Elucidating and quantifying the effects of doping on halide perovskites using lithium ion batteries.}},
author = {{Mathieson, Angus G. M. and Dose, Wesley M. and Steinrück, Hans-Georg and Takacs, Christopher J. and Feldmann, Sascha and Pandya, Raj and Merryweather, Alice J. and Mackanic, David and Rao, Akshay and Deschler, Felix and De Volder, Michael}},
issn = {{1754-5692}},
journal = {{Energy & Environmental Science}},
keywords = {{Pollution, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment, Environmental Chemistry}},
number = {{10}},
pages = {{4323--4337}},
publisher = {{Royal Society of Chemistry (RSC)}},
title = {{{A mechanistic study of the dopant-induced breakdown in halide perovskites using solid state energy storage devices}}},
doi = {{10.1039/d2ee01754g}},
volume = {{15}},
year = {{2022}},
}
@inproceedings{1156,
abstract = {{In this paper, we present an IoT architecture which handles stream sensor data of air pollution. Particle pollution is known as a serious threat to human health. Along with developments in the use of wireless sensors and the IoT, we propose an architecture that flexibly measures and processes stream data collected in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread network of wireless sensors that can follow changes in human behavior. Apart from stating reasons for the need of such a development and its requirements, we provide a conceptual design as well as a technological design of such an architecture. The technological design consists of Kaa and Apache Storm which can collect air pollution information in real-time and solve various problems to process data such as missing data and synchronization. This enables us to add a simulation in which we provide issues that might come up when having our architecture in use. Together with these issues, we state r easons for choosing specific modules among candidates. Our architecture combines wireless sensors with the Kaa IoT framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management System among others. We even provide open-government data sets that are freely available.}},
author = {{Kersting, Joschka and Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}},
booktitle = {{Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security}},
editor = {{Ramachandran, Muthu and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert and Chang, Victor}},
isbn = {{978-989-758-245-5}},
keywords = {{Wireless Sensor Network, Internet of Things, Stream Data, Air Pollution, DSMS, Real-time Data Processing}},
location = {{Porto, Portugal}},
pages = {{117--124}},
publisher = {{SCITEPRESS}},
title = {{{Internet of Things Architecture for Handling Stream Air Pollution Data}}},
doi = {{10.5220/0006354801170124}},
year = {{2017}},
}