A Bibliometric Mapping of Plant-Based Milk

M. I. Febriansyah, Nafisah Eka Puteri, M. Kamal
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Abstract

Non-dairy or plant-based milk is one of the new food products derived from plants. It is essential to explore the plant milk market from the different raw materials that can be used, understand the different products we can obtain from plant milk, as well as improve the characteristics of the plant milk. To do the exploratory, bibliographic research can be performed. Therefore, we applied bibliographic analysis to identify and explore the most advanced technology in plant milk research. Data was collected by using Harzing's Publish or Perish (PoP), saved as CSV and RIS, filtered and refined, and then analyzed using descriptive statistics and VOSviewer. We screened 485 papers (2012-2022) related to plant-based milk from 998 publications since 1981. Related keywords or terms of screened papers were then visualized by VOSviewer into network, overlay, and density visualization map. Based on the visualization map, there were 7 clusters of plant-based milk research field. The novelty of the research covered the importance and development of plant-based milk derivate, correlation to life cycle assessment, and occurrence of milk allergy. The term “diet” became the highest density term in publication between 2012 to 2022. On the other hand, the terms “sensory attribute”, “traditional plant”, and “health benefit” became the lowest density term.
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植物性牛奶的文献计量图谱
非乳制品或植物性牛奶是一种从植物中提取的新型食品。从可以使用的不同原料来探索植物奶市场,了解我们可以从植物奶中获得的不同产品,以及改善植物奶的特性是至关重要的。要进行探索性研究,可以进行书目研究。因此,我们采用文献分析法来识别和探索植物奶研究的最先进技术。采用Harzing’s Publish or Perish (PoP)收集数据,保存为CSV和RIS,进行筛选和细化,然后使用描述性统计和VOSviewer进行分析。我们从1981年以来的998份出版物中筛选了485篇与植物性牛奶相关的论文(2012-2022)。然后用VOSviewer将筛选论文的相关关键词或术语可视化为网络图、叠加图和密度可视化图。基于可视化地图,植物奶研究领域共分为7个集群。该研究的新颖性包括植物性乳衍生物的重要性和发展,与生命周期评估的相关性,以及牛奶过敏的发生。在2012年至2022年期间,“饮食”一词成为出版中密度最高的术语。另一方面,“感官属性”、“传统植物”和“健康效益”成为密度最低的术语。
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