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食物浪费研究领域的知识图谱可视化与分析。

Visualization and Analysis of Mapping Knowledge Domains for Food Waste Studies.

机构信息

Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Institute for Energy, Environment, and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada.

出版信息

Int J Environ Res Public Health. 2021 May 12;18(10):5143. doi: 10.3390/ijerph18105143.

Abstract

Food waste and loss is a global issue involving ethics, society, the environment, and the economy. However, there is a lack of systematic and visual scientific knowledge and graph methods to study the precedents of this field's development over time. The article is based on the scientific knowledge graph research of articles published in the past 22 years to review the latest food waste research developments. The study will be conducted from the following perspectives: country/region, institution, author, journal, keyword co-occurrence, and article co-citation. It turns out that in the past eight years, food waste research has grown rapidly. A total of 8298 research articles have been published in 8064 journals and 176 Web of Science (WOS) subject categories. Research shows in the past 20 years. The main research hotspots were anaerobic digestion, biogas production, composting, biological hydrogen production, and innovation in system management methods. In the future, efficient and multitask biological value-added conversion technology, systematization of food-supply-chain decision-making aid models, and research on differences in management strategies may become the frontiers of research.

摘要

食物浪费和损失是一个涉及道德、社会、环境和经济的全球性问题。然而,缺乏系统和可视化的科学知识和图形方法来研究该领域随时间发展的先例。本文基于过去 22 年发表的文章的科学知识图研究,回顾了最新的食物浪费研究进展。该研究将从以下几个方面进行:国家/地区、机构、作者、期刊、关键词共现和文章共被引。结果表明,在过去的八年中,食物浪费研究发展迅速。在 8064 种期刊和 176 个 Web of Science(WOS)学科类别中发表了 8298 篇研究文章。研究表明,在过去 20 年中,主要的研究热点是厌氧消化、沼气生产、堆肥、生物制氢和系统管理方法的创新。未来,高效、多任务的生物增值转化技术、食物供应链决策辅助模型的系统化以及管理策略差异的研究可能成为研究的前沿。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5499/8152013/570428e36b84/ijerph-18-05143-g001.jpg

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