Review: Application and research progress of near infrared spectroscopy for multidimensional assessment of coffee beans

被引:0
|
作者
Li, Tingting [1 ]
Yu, Xiangyang [1 ]
Zu, Wenzao [2 ]
Cai, Yefan [3 ]
Hong, Weibin [3 ]
机构
[1] Sun Yat Sen Univ, Nanchang Res Inst, Sch Phys, State Key Lab Optoelect Mat & Technol, 135,Xingang West Rd,Haizhu Dist, Guangzhou 510275, Peoples R China
[2] Farmland Construct & Agr Mechanizat Promot Stn, Xishuangbanna, Peoples R China
[3] Guangzhou Guangxin Technol Co Ltd, Guangzhou, Peoples R China
关键词
Near infrared spectroscopy; review; coffee bean attributes; chemometrics; characteristic wavelength; multidimensional assessment; NIR SPECTROSCOPY; QUALITY; PREDICTION; ORIGIN;
D O I
10.1177/09670335241291178
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
Near infrared spectroscopy (NIR), recognized as a rapid, non-invasive, easy-to-operate and cost-effective tool for substance analysis, has been widely used and intensively researched in the field of coffee bean analysis. From the perspective of multidimensional evaluation (physical assessment of green coffee, extrinsic assessment, descriptive assessment and affective assessment), this review systematically explores the current applications of near infrared spectroscopy in characterizing the attributes of Arabica coffee beans, and further investigates the identification of coffee bean adulteration and chemical properties through an exhaustive survey of more than 90 published, peer-reviewed articles. Building upon this foundation, this review analyzes and discusses the roles of chemometrics, spectral preprocessing methods, characteristic wavelength screening strategies and outlier removal methods. Through the combined application of these methods, the optimal NIR spectral inversion mechanisms corresponding to different coffee bean properties are revealed. This body of research not only highlights the substantial potential of near infrared spectroscopy but also pinpoints the pressing research gaps within the industrial process of coffee bean quality control. Currently, few studies have differentiated processing methods and elucidated the sweetness attributes, grading attributes, and flavor descriptors of coffee beans. Looking ahead, near infrared spectroscopy technology is anticipated to driving the establishment of a comprehensive and objective coffee bean value system.
引用
收藏
页码:179 / 191
页数:13
相关论文
共 50 条
  • [41] Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans
    Zhang, Chu
    Jiang, Hao
    Liu, Fei
    He, Yong
    FOOD AND BIOPROCESS TECHNOLOGY, 2017, 10 (01) : 213 - 221
  • [42] Application of Near-Infrared Hyperspectral Imaging with Variable Selection Methods to Determine and Visualize Caffeine Content of Coffee Beans
    Chu Zhang
    Hao Jiang
    Fei Liu
    Yong He
    Food and Bioprocess Technology, 2017, 10 : 213 - 221
  • [43] Application of functional near-infrared spectroscopy in the healthcare industry: A review
    Hong, Keum-Shik
    Yaqub, M. Atif
    JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2019, 12 (06)
  • [44] A review of recent application of near infrared spectroscopy to wood science and technology
    Satoru Tsuchikawa
    Hikaru Kobori
    Journal of Wood Science, 2015, 61 : 213 - 220
  • [45] A review of recent application of near infrared spectroscopy to wood science and technology
    Tsuchikawa, Satoru
    Kobori, Hikaru
    JOURNAL OF WOOD SCIENCE, 2015, 61 (03) : 213 - 220
  • [46] NEAR-INFRARED SPECTROSCOPY RESEARCH
    DELPY, DT
    FERRARI, M
    PEDIATRICS, 1993, 92 (06) : 883 - 883
  • [47] Control of the extractable content of bioactive compounds in coffee beans by near infrared hyperspectral imaging
    Nogales-Bueno, Julio
    Baca-Bocanegra, Berta
    Romero-Molina, Laura
    Martinez-Lopez, Alicia
    Rato, Ana Elisa
    Jose Heredia, Francisco
    Miguel Hernandez-Hierro, Jose
    Luisa Escudero-Gilete, Maria
    Lourdes Gonzalez-Miret, Maria
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2020, 134 (134)
  • [48] Research Progress of Electronic Nose and Near-Infrared Spectroscopy in Meat Adulteration Detection
    Sun, Xu
    Wang, Songlin
    Jia, Wenshen
    CHEMOSENSORS, 2024, 12 (03)
  • [49] Research Progress in Using Functional Near-Infrared Spectroscopy for Monitoring Depth of Anesthesia
    Hong Wen-xue
    Zhang Zhong-peng
    Song Jia-lin
    Li Shao-xiong
    Luan Jing-min
    Chen Ning
    Tan Jian-qiang
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32 (11) : 2939 - 2945
  • [50] Progress in research on near infrared spectroscopy for fire product quality rapid detection in China
    Song, Wen-qi
    Xue, Gang
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2015, 23 (05) : 337 - 341