Evaluation of a handheld ultra-compact NIR spectrometer for rapid and non-destructive determination of apple fruit quality

被引:60
|
作者
Pissard, Audrey [1 ]
Nascimento Marques, Emanuel Jose [2 ]
Dardenne, Pierre [1 ]
Lateur, Marc [3 ]
Pasquini, Celio [4 ]
Pimentel, Maria Fernanda [5 ]
Pierna, Juan Antonio Fernandez [1 ]
Baeten, Vincent [1 ]
机构
[1] Walloon Agr Res Ctr CRA W, Knowledge & Valorizat Agr Prod Dept, Gembloux, Belgium
[2] Fed Univ Pernambuco UFPE, Dept Fundamental Chem, Recife, PE, Brazil
[3] Walloon Agr Res Ctr CRA W, Life Sci Dept, Gembloux, Belgium
[4] Univ Campinas UNICAMP, Inst Chem, Campinas, SP, Brazil
[5] Fed Univ Pernambuco UFPE, Dept Chem Engn, Recife, PE, Brazil
基金
巴西圣保罗研究基金会;
关键词
Apple quality; Non-destructive analysis; NIR spectroscopy; Multivariate regression; Calibration transfer; SOLUBLE SOLIDS CONTENT; NEAR-INFRARED SPECTROSCOPY; CALIBRATION TRANSFER; SUGAR CONTENT; MULTIVARIATE CALIBRATION; MICRO-NIR; LS-SVM; INSTRUMENTS; PREDICTION; FIRMNESS;
D O I
10.1016/j.postharvbio.2020.111375
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Benchtop and portable devices based on near infrared (NIR) spectroscopy are increasingly used to evaluate the quality parameters of fruits. This study aims to compare the analytical performance of a benchtop spectrometer (XDS) and a handheld ultra-compact spectrometer (MicroNIR) and to investigate calibration transfer between these devices for quality parameters of apples (soluble solids content, titratable acidity, pulp firmness, and starch-iodine index). Regression analyses were performed on a subset of apples measured with both spectrometers. The coefficient of determination (R-2) and the root mean square error of cross-validation (RMSECV) values obtained with Partial Least Squares (PLS) models were similar, which suggests that MicroNIR offers similar performance to the XDS device. For example, for soluble solids content, it was observed a R-2 = 0.89 with a RMSECV = 0.62 and a R-2 = 0.91 with a RMSECV = 0.57 for XDS and MicroNIR respectively. For the transfer, calibration models were built using XDS spectra and different regression methods. The best performances were obtained with Least Squares Support Vector Machines (LS-SVM). The Direct Standardization method was applied to achieve calibration transfer. Only two transfer samples were enough to significantly reduce the root mean square error of prediction (RMSEP) values with a relative reduction varying from 74 % to 93 % for PLS and Multiple Linear Regression (MLR) models respectively. It showed the potential of a simple calibration transfer method to allow the use of historical database registered with benchtop instrument.
引用
收藏
页数:10
相关论文
共 37 条
  • [31] Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data
    Pourdarbani, Razieh
    Sabzi, Sajad
    Kalantari, Davood
    Karimzadeh, Rouhollah
    Ilbeygi, Elham
    Arribas, Juan, I
    BIOSYSTEMS ENGINEERING, 2020, 195 (195) : 136 - 151
  • [32] Application of Non-Destructive Rapid Determination of Piperine in Piper nigrum L. (Black Pepper) Using NIR and Multivariate Statistical Analysis: A Promising Quality Control Tool
    Park, Jong-Rak
    Kang, Hyun-Hee
    Cho, Jong-Ku
    Moon, Kwang-Deog
    Kim, Young-Jun
    FOODS, 2020, 9 (10)
  • [33] Rapid non-destructive moisture content monitoring using a handheld portable Vis-NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)
    Wokadala, Obiro Cuthbert
    Human, Christo
    Willemse, Salomie
    Emmambux, Naushad Mohammad
    JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2020, 14 (02) : 790 - 798
  • [34] The Analysis and Rapid Non-Destructive Evaluation of Yongchuan Xiuya Quality Based on NIRS Combined with Machine Learning Methods
    Zang, Ying
    Wang, Jie
    Wu, Xiuhong
    Chang, Rui
    Wang, Yi
    Luo, Hongyu
    Zhong, Yingfu
    Wu, Quan
    Chen, Zhengming
    Deng, Min
    PROCESSES, 2023, 11 (09)
  • [35] Non-destructive evaluation of the internal fruit quality of black mulberry (Morus nigra L.) using visible-infrared spectroscopy and genetic algorithm
    Soltanikazemi, Maryam
    Mehdizadeh, Saman Abdanan
    Heydari, Mokhtar
    INTERNATIONAL JOURNAL OF FOOD PROPERTIES, 2017, 20 (11) : 2437 - 2447
  • [36] Near-infrared technology in agriculture: Rapid, simultaneous, and non-destructive determination of inner quality parameters on intact coffee beans
    Munawar, Agus Arip
    Kusumiyati, Kusumiyati
    Andasuryani, Andasuryani
    Yusmanizar, Yusmanizar
    Adrizal, Adrizal
    OPEN AGRICULTURE, 2024, 9 (01):
  • [37] Non-destructive and rapid determination of TVB-N content for freshness evaluation of grass carp (Ctenopharyngodon idella) by hyperspectral imaging
    Cheng, Jun-Hu
    Sun, Da-Wen
    Zeng, Xin-An
    Pu, Hong-Bin
    INNOVATIVE FOOD SCIENCE & EMERGING TECHNOLOGIES, 2014, 21 : 179 - 187