Data collection juice extraction yields for fruit-derived LCA models (2025) - Data for Paturle Q., Sustainability in the Food and Beverage Industry: A Quantitative Environmental Assessment Master Thesis (2025)

This dataset compiles extraction-yield values for a wide range of fruits used in the modelling of fruit-derived ingredients within a Life Cycle Assessment (LCA) framework. The data were collected through a structured literature review covering 47 scientific sources published between 1987 and 2025. The dataset includes (i) category-level extraction-yield averages, (ii) fruit-specific averages (pre-2015, post-2015, all-time, and WFLDB baseline values), (iii) a long-format dataset containing all individual extraction-yield datapoints linked to their publication year and PaperID, and (iv) the complete list of bibliographic references used.These data support the construction of standardised fruit extraction archetypes for carbon footprint modelling of FCJ, essence, distillate, extract, and infusion processes. The dataset enables transparent traceability and reproducibility of extraction-yield assumptions used in LCI (Life Cycle Inventory) modelling, particularly in industry contexts where fruit-derived ingredients contribute substantially to upstream Scope 3 emissions.This dataset was produced as part of a master’s thesis on the environmental impacts of fruit-derived flavour ingredients and is intended as a reusable resource for researchers, LCA practitioners, and organisations modelling food and beverage supply chains.

本数据集汇编了用于生命周期评估（Life Cycle Assessment，LCA）框架下水果衍生配料建模的多类水果提取率数值。数据通过系统性文献综述收集，涵盖1987年至2025年间发表的47篇科学文献。数据集包含以下四类内容：(i) 分类层级的提取率平均值；(ii) 特定水果提取率平均值（包含2015年前、2015年后、全时段以及WFLDB基准值）；(iii) 长格式数据集，收录所有关联发表年份与PaperID的单条提取率数据点；(iv) 所用全部参考文献清单。上述数据可为FCJ、香精、馏出物、提取物以及浸提工艺的碳足迹建模构建标准化水果提取原型提供支撑。本数据集可实现生命周期清单（Life Cycle Inventory，LCI）建模中所用提取率假设的透明可追溯性与可复现性，尤其适用于水果衍生配料对上游范围三排放贡献显著的工业场景。本数据集作为一项关于水果衍生风味配料环境影响的硕士论文研究成果产出，旨在为研究人员、LCA从业者以及食品饮料供应链建模相关机构提供可复用的研究资源。