Design, calibration, and validation of an inline green coffee moisture estimation system using time-domain reflectometry

被引:2
|
作者
Anokye-Bempah, Laudia [1 ]
Phetpan, Kittisak [2 ]
Slaughter, David [1 ]
Donis-Gonzalez, Irwin R. [3 ]
机构
[1] Univ Calif Davis, Dept Biol & Agr Engn, Davis, CA 95616 USA
[2] King Mongkuts Inst Technol Ladkrabang KMITL, Dept Engn, Prince Chumphon Campus, Chumphon, Thailand
[3] Univ Calif Davis, 3024 Bainer Hall, Davis, CA 95616 USA
关键词
Moisture estimation; Time -domain reflectometry; Calibration; Validation; SOIL-WATER CONTENT; RELATIVE-HUMIDITY; BEAN MOISTURE; OCHRATOXIN-A; TEMPERATURE;
D O I
10.1016/j.jfoodeng.2022.111342
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Wet basis moisture content (MCwb) is an important quality parameter of green coffee as it affects the coffee's physical, chemical, and sensory characteristics. Accurate estimation of green coffee MCwb after dry hulling, longterm storage, and transportation is imperative to prevent quantitative and qualitative losses. Thus, this study aimed to design, develop, calibrate and validate a prototype inline system capable of accurately measuring the MCwb of green coffee beans, using a commercially available time-domain reflectometry (TDR) probe. The TDR probe was calibrated and validated with green coffee within a MCwb range of 9-21%. A calibration linear regression model correlating the TDR probe output (dielectric constant) to reference MCwb measurements obtained by a halogen moisture analyzer, yielded a high coefficient of correlation (R2 = 0.99). Model validation yielded a high R2, and a low Root Mean Squared Error equal to 0.93, and 0.9% MCwb, subsequently. Results indicate that the TDR inline green coffee moisture estimation system has the potential to be applied in real-time, industrial-scale operations.
引用
收藏
页数:7
相关论文
共 50 条
  • [41] Amplitude Calibration in Terahertz Time-Domain Spectroscopy Using Attenuation Standards
    Iida, Hitoshi
    Kinoshita, Moto
    JOURNAL OF INFRARED MILLIMETER AND TERAHERTZ WAVES, 2018, 39 (01) : 120 - 129
  • [42] Measurement of moisture content using time domain reflectometry during the biodrying of sewage sludge with high electrical conductivity
    Cai, Lu
    Gao, Ding
    Hong, Nian
    DRYING TECHNOLOGY, 2017, 35 (01) : 108 - 115
  • [43] Curing process monitoring of cementitious grout using time domain reflectometry (TDR) system
    Cho, Hyunmuk
    Jung, Jongwon
    Yang, Beomjoo
    Hong, Won-Taek
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 438
  • [44] Prototype time-domain reflectometry probes for measurement of moisture content near the soil surface for applications to "on-the-move" measurements
    Inoue, Y
    Watanabe, T
    Kitamura, K
    AGRICULTURAL WATER MANAGEMENT, 2001, 50 (01) : 41 - 52
  • [45] Capillary Uptake Monitoring in Lime-Hemp-Perlite Composite Using the Time Domain Reflectometry Sensing Technique for Moisture Detection in Building Composites
    Brzyski, Przemyslaw
    Suchorab, Zbigniew
    MATERIALS, 2020, 13 (07)
  • [46] Uncertainty Visualization of Estimated Damage Using Kriging Model: Application to Time-Domain Reflectometry Sensing
    Matsuzaki, Ryosuke
    Kawasaki, Masahiro
    Todoroki, Akira
    JOURNAL OF NONDESTRUCTIVE EVALUATION, 2015, 34 (03)
  • [47] Uncertainty Visualization of Estimated Damage Using Kriging Model: Application to Time-Domain Reflectometry Sensing
    Ryosuke Matsuzaki
    Masahiro Kawasaki
    Akira Todoroki
    Journal of Nondestructive Evaluation, 2015, 34
  • [48] Evaluating the linear dielectric constant-electrical conductivity model using time-domain reflectometry
    Persson, M
    HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2002, 47 (02): : 269 - 277
  • [49] Dielectric relaxation studies of aqueous solution of polyethylene glycol 200 (PEG200), using time-domain reflectometry
    Shaikh, S. S.
    Kumbharkhane, A. C.
    PHYSICS AND CHEMISTRY OF LIQUIDS, 2015, 53 (05) : 627 - 637
  • [50] Study on a calibration equation for soil water content in field tests using time domain reflectometry
    Zhao, Yun
    Ling, Dao-sheng
    Wang, Yun-long
    Huang, Bo
    Wang, Han-lin
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2016, 17 (03): : 240 - 252