食品科学 ›› 2021, Vol. 42 ›› Issue (5): 278-287.doi: 10.7506/spkx1002-6630-20200408-095

• 专题论述 • 上一篇    下一篇

基于文献计量学的食品大数据技术研究分析

骆靖阳,陆柏益   

  1. (浙江大学生物系统工程与食品科学学院,浙江 杭州 310058)
  • 出版日期:2021-03-15 发布日期:2021-03-29
  • 基金资助:
    “十三五”国家重点研发计划重点专项(2017YFD0400200);国家农产品品质评价财政专项(GJFP2019043)

Research and Analysis of Food Big Data Technology Based on Bibliometrics

LUO Jingyang, LU Baiyi   

  1. (College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China)
  • Online:2021-03-15 Published:2021-03-29

摘要: 食品大数据技术是目前食品科学与工程领域的研究热点之一,在食品安全管理、食品智能制造、膳食营养与健康等方面具有重大发展潜力。本文以Web of Science核心合集数据库和Derwent Innovations Index数据库中的论文和专利为研究对象,采用文献计量学的方法,对食品大数据技术的研究现状、热点、发展方向以及不同国家学术综合影响力和合作关系等进行综合分析。结果显示,该技术在食品安全管理领域中已取得了较好的研究与应用成果,为全链式的食品安全信息监测、风险预警、质量溯源等提供了强力助推;在食品智能制造领域中面临着较大的困难与阻碍,但在3D打印食品等研究中表现出巨大的发展潜力;在膳食营养与健康领域中进展缓慢,应用程度较低,距离其真正实现智能化的营养管理与健康干预依旧比较遥远。我国相关研究发文量较大,但相较于欧美等发达国家在学术综合影响力和合作关系网络方面仍落后。因此,亟需加强关键技术的自主研发和国内外合作交流,为我国食品产业的数字化跨越式发展奠定基础。

关键词: 食品大数据;文献计量学;食品安全;智能制造;营养与健康

Abstract: Food big data technology is one of the research hotspots in the field of food science and engineering, which has great potential in many fields like food safety management, food intelligent manufacturing, and dietary nutrition and health. Based on the papers collected from the Web of Science core collection database and the patents collected from the Derwent Innovations Index database, this paper presents a comprehensive bibliometric analysis of the current status, hotspots and future directions of research on food big data technology, as well as the comprehensive academic influence of and cooperative relationship among different countries. The results showed that remarkable achievements have been made in the application of food big data technology in the field of food safety management, which has provided a strong boost for full-chain food safety information monitoring, risk early warning, quality traceability, and so on. The application of the technology is faced with great difficulties and obstacles in the field of intelligent food manufacturing, but it shows great potential in 3D printed food research. The application in the field of dietary nutrition and health has slowly progressed and is currently still at a low level and far away from the realization of intelligent nutrition management and health intervention. While Chinese researchers have published a large number of papers concerning food big data technology, China still lags behind developed European and American countries in academic influence and cooperative relationship network. Therefore, it is urgent for the country to strengthen efforts to independently develop key technologies, as well as domestic and international cooperation and exchanges, so as to lay the foundation for the digital great-leap-forward development of China’s food industry.

Key words: food big data; bibliometrics; food safety; intelligent manufacturing; nutrition and health

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