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

被引:111
|
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
  • [21] Rapid measurement of zinc contents in soils by near-infrared diffuse reflectance spectroscopy
    Huang, Fu-Rong
    Pan, Tao
    Zhang, Gan-Lin
    Pan, Xian-Zhang
    Liu, Deng-Fei
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2010, 18 (03): : 586 - 592
  • [22] SVM-based Apple Classification of Soluble Solids Content by Near-infrared Spectroscopy
    Li, Xiaoxu
    Bi, Shuhui
    Zhang, Yuhua
    Shen, Tao
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 4001 - 4005
  • [23] Analysis of Near Infrared Spectra of Apple Soluble Solids Content Based on BP Neural Network
    Li, Xiaoxu
    Zhang, Yuhua
    Cui, Huanyong
    Shen, Tao
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 8008 - 8012
  • [24] Near-Infrared Model and Its Robustness as Affected by Fruit Origin for 'Dangshan' Pear Soluble Solids Content and pH Measurement
    Cheng, Tao
    Guo, Sen
    Pan, Zhenggao
    Fan, Shuxiang
    Ju, Shucun
    Xin, Zhenghua
    Zhou, Xin-Gen
    Jiang, Fei
    Zhang, Dongyan
    AGRICULTURE-BASEL, 2022, 12 (10):
  • [25] Determination of dry matter and soluble solids of durian pulp using diffuse reflectance near infrared spectroscopy
    Onsawai, Phalanon
    Sirisonnboon, Panmanas
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2015, 23 (03) : 167 - 179
  • [26] Soluble solids and simple sugars measurement in intact mango using near infrared spectroscopy
    Delwiche, Stephen R.
    Mekwatanakarn, Weena
    Wang, Chien Y.
    HORTTECHNOLOGY, 2008, 18 (03) : 410 - 416
  • [27] Limitations to the measurement of intact melon total soluble solids using near infrared spectroscopy
    Long, RL
    Walsh, KB
    AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 2006, 57 (04): : 403 - 410
  • [28] Comparative Analysis of Characteristic Wavelength Screening of Apple Soluble Solids Based on Near-Infrared Spectroscopy
    Zhang Jinfu
    Tang Bin
    Wang Jianxu
    Chuan Yanfei
    Long Zourong
    Chen Qing
    Miao Junfeng
    Cai Linfeng
    Zhao Mingfu
    Zhou Mi
    LASER & OPTOELECTRONICS PROGRESS, 2023, 60 (17)
  • [29] Sorting of fruit using near infrared spectroscopy: application to a range of fruit and vegetables for soluble solids and dry matter content
    Walsh, KB
    Golic, M
    Greensill, CV
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2004, 12 (03) : 141 - 148
  • [30] Light, temperature, and sucrose affect color, diameter, and soluble solids of disks of wax apple fruit skin
    Shü, ZH
    Chu, CC
    Hwang, LJ
    Shieh, CS
    HORTSCIENCE, 2001, 36 (02) : 279 - 281