基于知识图谱分析近红外光谱技术在茶叶分析中的研究进展

目的 探究近红外光谱技术在茶叶分析领域的研究进展.方法 以"近红外光谱"和"茶"为主题检索中国知识资源总库(China National Knowledge Infrastructure,CNKI),利用VOSviewer、CiteSpace和Wordle分析年度发文量并构建近红外光谱在茶叶分析中的知识图谱,通过词云、...

Research progress of near infrared spectroscopy in tea analysis based on knowledge mapping

Objective Explore the research progress of near-infrared spectroscopy in the field of tea analysis. Methods Searched the China National Knowledge Infrastructure (CNKI) on the subject of "Near Infrared Spectroscopy" and "Tea", used VOSviewer, CiteSpace, and Wordle to analyze the amount of annual publications and construct a knowledge map of near infrared spectroscopy in tea analysis, Visually analyzed the research progress of near-infrared spectroscopy in the field of tea analysis through Word cloud, Overlay map and Time-zone chart. Results (1) The research team and research institution of near-infrared spectroscopy in the field of tea analysis were relatively single. (2) Research on the prediction of the content of the main components of tea (tea polyphenols, caffeine, etc.) and the identification of tea were stable research theme. Conclusion The physical and chemical properties of tea samples affect the effective collection of infrared spectroscopy, and the robustness of the correction model for tea analysis can be improved through different spectral preprocessing, feature selection and extraction. This study can provide theoretical reference and decision-making basis for researchers in the fields of research on tea chemical composition detection methods, production process quality supervision, origin traceability, and tea adulteration based on near-infrared spectroscopy.