我国饲料检测研究的进展及发展趋势——基于CiteSpace的可视化分析

doi:10.12160/j.issn.1672-5190.2024.06.008

摘要/Abstract

摘要： [目的] 全面分析我国饲料检测研究领域的发展历程、热点和趋势,为我国饲料检测研究提供可视化数据支撑。[方法] 以中国知网数据库（CNKI）为数据来源,以“饲料检测”“饲料检测技术”“饲料质量检测”“饲料检测分析”等为主题检索1993—2024年我国饲料检测研究领域的期刊文献,对该研究领域的年度发文量进行分析;采用CiteSpace 6.3.3和VOSviewer 1.6.20文献计量学可视化软件,对文献的关键词聚类、高被引作者及合作网络、共现关键词网络进行分析,系统整理该领域的研究热点和趋势。[结果] 根据设置的检索条件,共纳入550篇期刊文献,年度发文量以2009年最多,达到48篇。关键词聚类分析显示,“防腐剂”和“猪饲料”是我国饲料检测研究领域的最大热点;“防腐剂”“传感器”“志贺氏菌”“四环素”是主要的新兴热点。高被引作者及合作网络分析显示,贾涛、李丹妮、高文惠是研究成果被引数量排名前三位的作者,他们之间也形成了最大的3个合作网络;刘木华在最新研究成果方面具有重要贡献。共现关键词网络分析显示,该领域的研究重点经历了毒素检验、检测方法与成分、新兴技术与检测方法的应用3个阶段;猪饲料检测、新兴技术与检测方法、新型饲料检测、饲料毒素检测及危害是未来研究的热点。[结论] 通过文献计量学分析,明晰了我国饲料检测研究领域的热点和新兴趋势。

关键词: 饲料检测, CiteSpace, VOSviewer, 文献计量学, 热点

Abstract: [Objective] This study aims to comprehensively analyze the development history, research hotspots, and trends of feed testing in our country while providing visual data support. [Method] Utilizing the China National Knowledge Infrastructure （CNKI） database as the data source, this study retrieved journal literature on feed detection research in China from 1993 to 2024. The search themes included feed detection, feed detection technology, feed quality detection, and feed detection analysis. Additionally, an analysis of the annual publication volume in this research field was conducted. We employed bibliometric visualization software of CiteSpace 6.3.3 and VOSviewer 1.6.20 to analyze highly cited authors, cooperative networks, co-occurring keywords, and important journals, systematically identifying the research hotspots and trends of feed testing. [Results] Based on the predefined retrieval criteria, a total of 550 journal articles were included in this study. The peak publication year was 2009, during which 48 articles were published. The keyword cluster analysis reveals that preservatives and pig feed are the most prominent research foci in the domain of feed testing in China. Furthermore, preservatives, sensors, Shigella, and tetracycline have emerged as key topics of interest. The analysis of highly cited authors and their collaboration networks reveals that Jia Tao, Li Danni, and Gao Wenhui rank as the top three authors in terms of citation frequency of research outcomes, and they have also established the three largest collaborative networks. Additionally, Liu Muhua has made substantial contributions to the most recent research advancements. The co-occurrence keyword network analysis reveals that research in this field has evolved through three distinct stages: initial focus on toxin testing, subsequent exploration of detection methods and components, and the current emphasis on the application of emerging technologies and advanced detection methodologies. Looking ahead, pig feed testing, emerging technologies and testing methods, new feed testing, and are anticipated to be future research hotspots. [Conclusion] Through bibliometric analysis, we have identified the key research hotspots and emerging trends in the field of feed testing in China.

Key words: feed testing, CiteSpace, VOSviewer, scientometrics, hotspots

中图分类号:

刘佳辉. 我国饲料检测研究的进展及发展趋势——基于CiteSpace的可视化分析[J]. 畜牧与饲料科学, 2024, 45(6): 49-57.

LIU Jiahui. Research Progress and Development Trend of Feed Testing in China：Based on CiteSpace Visual Analysis[J]. Animal Husbandry and Feed Science, 2024, 45(6): 49-57.

参考文献

[1] 王卫国. 大力培育新质生产力提升饲料工业高质量发展水平[J].饲料工业,2024,45(12):1-4.
[2] 曹林,冯秀燕,赵茜,等.2020—2021年北京地区配合饲料中铜、锌含量检测及合规性分析[J].饲料工业,2022,43(11):59-64.
[3] 姜能涛. 饲料产业高质量发展评价及路径优化研究[J].饲料研究,2024,47(5):177-181.
[4] 李军德,梅浩男,宋吉英.色素络合荧光法检测饲料中的盐酸氯丙嗪和奋乃静[J].饲料工业,2020,41(18):42-47.
[5] 何可可,陈雅坤,邱庆,等.近红外光谱分析技术在玉米青贮饲料检测中的研究进展[J].中国饲料,2024(17):117-121.
[6] 黄鑫,栾庆祥,金晓峰,等.超高效液相色谱-串联质谱法检测饲料中氯霉素、氟苯尼考药物的方法研究[J].饲料研究,2020(5):83-86.
[7] 陈宇飞,杨柳,王磊.饲料中动物源性成分微流控检测芯片的研究[J].饲料研究,2021,44(4):92-95.
[8] 陈志辉,孙浩,马海鹍,等.饲料分析与质量检测技术课程开展职业道德教育的探索[J].黑龙江畜牧兽医,2021(23):133-135.
[9] 付伟,张伟,陈江魁,等.饲料中黄曲霉毒素检测研究进展[J].中国饲料,2019(22):28-30.
[10] 侯金丽. 饲料粮中霉菌毒素检测技术的研究进展[J].中国饲料,2024(10):84-87.
[11] 吴书佳,姚明印,曾剑辉,等.猪饲料中Cu元素的空间限域LIBS检测[J].光谱学与光谱分析,2023,43(6):1770-1775.
[12] 韩庆伟,马思妍,孟宪华,等.河北省猪肉品牌建设SWOT分析及发展对策建议[J].黑龙江畜牧兽医(下半月),2019(6):14-17,163.
[13] 刘娜,王俊,屠焰,等.玉米青贮饲料质量评定及其营养成分快速检测方法的建立[J].家畜生态学报,2019,40(10):1-7.
[14] 刘晓鹏,李建文,李春雷,等.制粒成型颗粒饲料粉化率检测装置设计与试验[J].饲料工业,2022,43(13):9-18.
[15] 朱惠绵,林丹,孙艺,等.ICP-MS法检测鸡饲料与原料中有毒有害元素的含量及其分布[J].饲料研究,2019(11):90-96.
[16] 张晓红,郭佳琦,刘英玉,等.新疆某肉羊养殖场春秋季节饲料与饮水中的大肠菌群和霉菌污染的检测[J].动物医学进展,2020,41(7):42-144.
[17] 周志刚,杜东东,孟德龙,等.基因检测技术在饲料原料物种鉴定中的研究[J].饲料工业,2023,44(4):1-11.
[18] 张燕,王园,杜涓,等.饲料质量检测技术的研究进展[J].中国饲料,2023(19):108-112.
[19] 牛智有,刘芳宏,刘鸣,等.平行极板电容传感器介电式颗粒饲料水分检测仪设计与试验[J].农业工程学报,2019,35(18):36-43.
[20] 魏姜勉. 饲料氨基酸的不同检测方法在饲料生产中的比较研究[J].中国饲料,2021(20):69-74.
[21] 蔺赟. RFID技术在饲料物流仓储中的应用研究[J].中国饲料,2022(1):139-142.
[22] 谷敏,段廷燕.基于物联网技术的饲料生产线远程监测系统分析[J].中国饲料,2023(23):172-175.
[23] 曹伟,武琳,石琴琴,等.饲料原料中淀粉准确检测方法的研究和应用[J].饲料工业,2023,44(23):103-107.
[24] 陈菲,李小梅,倪奎奎,等.近红外光谱技术在青贮饲料品质检测中的研究进展[J].中国饲料,2021(23):78-83.
[25] 陈素彬,胡振,杨华.近红外光谱法检测饲料玉米品质的优化PLS模型[J].饲料研究,2020,43(5):112-116.
[26] 李蔚,杨晓萍,胡学哲,等.新疆部分地区规模化鸡场饲料中霉菌毒素污染状况检测与分析[J].动物医学进展,2021,42(8):131-134.
[27] 任澎,邓蒙蒙,王迪铭.奶牛新型饲料水培大麦苗在不同水培天数下营养价值探究[J].饲料研究,2023,46(18):102-107.
[28] 童雨翠,张静,陈霈瑶,等.后生素:一类具有潜力的新型饲料添加剂[J].饲料工业,2021,42(18):12-17. 古敏,张石虎,周玮,等.树菠菜作为新型蛋白饲料资源的研究[J].饲料研究,2021(13):126-129.
[29] 刘国庆,谭青松,解绶启.新型蛋白源在水产饲料中的应用研究进展[J].饲料工业,2022,43(12):10-20. 王庆伟,安纲,王金勇,等.2019年中国饲料与原料霉菌毒素检测报告[J].饲料工业,2020,41(24):52-57.
[30] 贾纪萍,张杰,陈晓兰,等.饲料及动物源性食品中霉菌毒素检测及防霉脱霉技术研究进展[J].中国饲料,2023(2):9-12.
[31] 刘同威,李爱科,孙肖明,等.饲料原料中霉菌毒素对动物的危害及其检测和消减措施[J].中国兽医学报,2024,44(3):632-643,650.
[32] 王艳霞. 饲料及原料中真菌毒素的危害、降解和检测技术研究[J].饲料研究,2022,45(8):158-160.
[33] 陈甫,朱风华,韦宁,等.高效液相色谱-串联质谱法同步检测饲料中4种常见霉菌毒素[J].中国畜牧杂志,2021,57(12):265-269.
[34] 王梦晨,张勇,刘来亭,等.饲料及饲料原料中呕吐毒素检测的研究进展[J].饲料研究,2022(9):152-155. 张梦雨,崔敏,张自强,等.呕吐毒素的污染状况及对动物机体的毒性研究进展[J].动物医学进展,2024,45(9):105-109.
[35] 郭同军,薛宇昂,高丽,等.棉秸秆农药残留和重金属及真菌毒素检测分析[J].中国畜牧兽医,2024,51(5):1880-1892.
[36] 赵伟,厉学武,LAMESGEN D,等.我国饲料原料和配合饲料中T-2毒素、赭曲霉毒素A和伏马毒素的污染研究[J].动物营养学报,2024,36(4):2690-2698.