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Gap resolutIon in sAfety, NuTritional, alLergenicity and Environmental assessments to promote Alternative Protein utilization and the dietary Shift

Gap resolutIon in sAfety, NuTritional, alLergenicity and Environmental assessments to promote Alternative Protein utilization and the dietary Shift
解决安全性、营养性、过敏性和环境评估方面的差距,以促进替代蛋白质的利用和饮食转变
批准号:
10051609
负责人:
金额:
$67.33万
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Accelerating the transition from animal-based to alternative dietary proteins – the dietary shift – is key to reducing the footprint of our food system in terms of greenhouse gas emissions (GHG), energy, water and land use, and other relevant environmental impacts, and for improving the health and well-being of people, animals and the planet. GIANT LEAPS delivers the strategic innovations, methodologies, and open-access datasets to speed up this dietary shift, in line with the Farm-to-Fork strategy and contributing to the Green Deal target of reaching climate neutrality by 2050. Achieving the dietary shift in practice is inherently complex due to the diverse set of actors involved and further hindered by major knowledge gaps, scattered across the various alternative protein sources and the domains of health (safety, allergenicity and digestibility), environment (GHGs and other environmental and climate impacts, biodiversity, circularity), and/ or barriers to adoption (technological, sensory, and consumer acceptance). The GIANT LEAPS consortium consists of the key actors and spans all expertise to address relevant knowledge gaps and proactively engages to arrive at optimized future diets based on alternative proteins that are broadly accepted across stakeholder groups. In order to deliver required insights for short-, mid- and long-term decision making and impact, GIANT LEAPS protein sources have been selected for either targeted or full assessment based on their current level of specification. The innovations and improved methods combined with accessible and comprehensive information, generated for a wide collection of alternative proteins, will enable policymakers to prioritise changes in the food system towards the dietary shift based on desired impact, value chain actors to make strategic scientific, business and investment choices, and the general public to make more sustainable and healthy dietary choices.
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基于Resolution算法的交互时态逻辑自动验证机
  • 批准号:
    61303018
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2013
  • 负责人:
    章岚
  • 依托单位: