Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents

被引:112
|
作者
Peirs, A [1 ]
Scheerlinck, N [1 ]
Nicolaï, BM [1 ]
机构
[1] Katholieke Univ Leuven, Lab Postharvest Technol, B-3001 Louvain, Belgium
关键词
temperature; calibration model; near infrared reflectance spectroscopy; apple; soluble solids content;
D O I
10.1016/S0925-5214(03)00118-2
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Near infrared reflectance (NIR) spectroscopy has been used successfully to measure soluble solids in apple fruit. However, for practical implementation, the technique needs to be able to compensate for fruit temperature fluctuations, as it was observed that the sample temperature affects the near infrared reflectance spectrum in a non-linear way. Temperature fluctuations may occur in practice because of varying weather conditions or improper conditioning of the fruit immediately after harvest. Two techniques were found well suited to control the accuracy of the calibration models for soluble solids with respect to temperature fluctuations. The first, and most practical one, consisted of developing a global robust calibration model to cover the temperature range expected in the future. The second method involved the development of a range of temperature dedicated calibration models. The drawback of the latter approach is that the required data collection is very large. When no precautions are taken, the error on the soluble solids content reading may be as large as 4%brix. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:233 / 248
页数:16
相关论文
共 50 条
  • [31] Influence of Sampling Component on Determination of Soluble Solids Content of Fuji Apple Using Near-Infrared Spectroscopy
    Qi, Shuye
    Oshita, Seiichi
    Makino, Yoshio
    Han, Donghai
    APPLIED SPECTROSCOPY, 2017, 71 (05) : 856 - 865
  • [32] Predicting apple (cv. Elshof) postharvest dry matter and soluble solids content with near infrared spectroscopy
    Travers, Sylvia
    Bertelsen, Marianne G.
    Kucheryavskiy, Sergey V.
    JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE, 2014, 94 (05) : 955 - 962
  • [33] Prediction of soluble solids content of jujube fruit using hyperspectral reflectance imaging
    He, Jian Guo
    Luo, Yang
    Liu, Gui Shan
    Xu, Shuang
    Si, Zhen Hua
    He, Xiao Guang
    Wang, Song Lei
    MECHATRONICS AND INTELLIGENT MATERIALS III, PTS 1-3, 2013, 706-708 : 201 - +
  • [34] Calibration transfer between developed portable Vis/NIR devices for detection of soluble solids contents in apple
    Li, Lianjie
    Huang, Wenqian
    Wang, Zheli
    Liu, Sanqing
    He, Xin
    Fan, Shuxiang
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2022, 183
  • [35] Calibration of Near Infrared Spectroscopy of Apples with Different Fruit Sizes to Improve Soluble Solids Content Model Performance
    Jiang, Xiaogang
    Zhu, Mingwang
    Yao, Jinliang
    Zhang, Yuxiang
    Liu, Yande
    FOODS, 2022, 11 (13)
  • [36] Prediction of soluble solids content of apple using the combination of spectra and textural features of hyperspectral reflectance imaging data
    Fan, Shuxiang
    Zhang, Baohua
    Li, Jiangbo
    Liu, Chen
    Huang, Wenqian
    Tian, Xi
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2016, 121 : 51 - 61
  • [37] The performance of ν-support vector regression on determination of soluble solids content of apple by acousto-optic tunable filter near-infrared spectroscopy
    Zhu, Dazhou
    Ji, Baoping
    Meng, Chaoying
    Shi, Bolin
    Tu, Zhenhua
    Qing, Zhaoshen
    ANALYTICA CHIMICA ACTA, 2007, 598 (02) : 227 - 234
  • [38] Nondestructive Determination of Apple Internal Qualities Using Near-Infrared Hyperspectral Reflectance Imaging
    Jinlei Dong
    Wenchuan Guo
    Food Analytical Methods, 2015, 8 : 2635 - 2646
  • [39] Nondestructive Determination of Apple Internal Qualities Using Near-Infrared Hyperspectral Reflectance Imaging
    Dong, Jinlei
    Guo, Wenchuan
    FOOD ANALYTICAL METHODS, 2015, 8 (10) : 2635 - 2646
  • [40] Measurement of soluble solid content in apples using near infrared spectroscopy
    Zhang, Hailiang
    Sun, Xudong
    Liu, Yande
    Liu, Tao
    Ouyang, Aiguo
    Pan, Yuanyuan
    Gao, Rongjie
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 25 (SUPPL. 2): : 340 - 344