Rapid Estimation of Potato Quality Parameters by a Portable Near-Infrared Spectroscopy Device

被引:15
|
作者
Escuredo, Olga [1 ]
Meno, Laura [1 ]
Rodriguez-Flores, Maria Shantal [1 ]
Seijo, Maria Carmen [1 ]
机构
[1] Univ Vigo, Dept Vegetal Biol & Soil Sci, Fac Sci, Orense 32004, Spain
关键词
NIR spectrometer; intact potato; dry matter; reducing sugars; chemometrics; MPLS; DRY-MATTER CONTENT; SOLANUM-TUBEROSUM; WAVELENGTH SELECTION; NIR SPECTROSCOPY; REDUCING SUGARS; REFLECTANCE; PREDICTION; STORAGE; QUINOA;
D O I
10.3390/s21248222
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The aim of the present work was to determine the main quality parameters on tuber potato using a portable near-infrared spectroscopy device (MicroNIR). Potato tubers protected by the Protected Geographical Indication (PGI "Patata de Galicia", Spain) were analyzed both using chemical methods of reference and also using the NIR methodology for the determination of important parameters for tuber commercialization, such as dry matter and reducing sugars. MicroNIR technology allows for the attainment/estimation of dry matter and reducing sugars in the warehouses by directly measuring the tubers without a chemical treatment and destruction of samples. The principal component analysis and modified partial least squares regression method were used to develop the NIR calibration model. The best determination coefficients obtained for dry matter and reducing sugars were of 0.72 and 0.55, respectively, and with acceptable standard errors of cross-validation. Near-infrared spectroscopy was established as an effective tool to obtain prediction equations of these potato quality parameters. At the same time, the efficiency of portable devices for taking instantaneous measurements of crucial quality parameters is useful for potato processors.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Prediction of firmness parameters of tomatoes by portable visible and near-infrared spectroscopy
    Huang, Yuping
    Lu, Renfu
    Chen, Kunjie
    JOURNAL OF FOOD ENGINEERING, 2018, 222 : 185 - 198
  • [2] Rapid determination of cabbage quality using visible and near-infrared spectroscopy
    Kramchote, Somsak
    Nakano, Kazuhiro
    Kanlayanarat, Sirichai
    Ohashi, Shintaroh
    Takizawa, Kenichi
    Bai, Geng
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2014, 59 (02) : 695 - 700
  • [3] Rapid assessment of vanilla ( Vanilla planifolia ) quality parameters using portable near-infrared spectroscopy combined with random forest
    Widyaningrum
    Purwanto, Yohanes Aris
    Widodo, Slamet
    Supijatno
    Iriani, Evi Savitri
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2024, 133
  • [4] Portable near-infrared spectroscopy for rapid authentication of adulterated paprika powder
    Oliveira, M. M.
    Cruz-Tirado, J. P.
    Roque, J. V.
    Teofilo, R. F.
    Barbin, D. F.
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2020, 87
  • [5] NEAR-INFRARED SPECTROSCOPY AS A RAPID AND SIMULTANEOUS ASSESSMENT OF AGRICULTURAL GROUNDWATER QUALITY PARAMETERS
    Ichwana, Ichwana
    Nasution, Zulkifli
    Munawar, Agus Arip
    INMATEH-AGRICULTURAL ENGINEERING, 2020, 60 (01): : 233 - 240
  • [6] Rapid evaluation of the quality of chestnuts using near-infrared reflectance spectroscopy
    Hu, Jiaqi
    Ma, Xiaochen
    Liu, Lingling
    Wu, Yanwen
    Ouyang, Jie
    FOOD CHEMISTRY, 2017, 231 : 141 - 147
  • [7] Applications of Near-Infrared Spectroscopy in Pear Quality Assessment: A Comprehensive Review
    Zhang, Hui
    Lai, Lisi
    Gu, Jiahui
    Wen, Long
    Li, Xiaojuan
    Wang, Chao
    JOURNAL OF FOOD PROCESS ENGINEERING, 2025, 48 (05)
  • [8] Development and Validation of Near-Infrared Reflectance Spectroscopy Prediction Modeling for the Rapid Estimation of Biochemical Traits in Potato
    Chaukhande, Paresh
    Luthra, Satish Kumar
    Patel, R. N.
    Padhi, Siddhant Ranjan
    Mankar, Pooja
    Mangal, Manisha
    Ranjan, Jeetendra Kumar
    Solanke, Amolkumar U.
    Mishra, Gyan Prakash
    Mishra, Dwijesh Chandra
    Singh, Brajesh
    Bhardwaj, Rakesh
    Tomar, Bhoopal Singh
    Riar, Amritbir Singh
    FOODS, 2024, 13 (11)
  • [9] Prediction of internal compositions change in potato during storage using visible/near-infrared (Vis/NIR) spectroscopy
    Farhadi, Roya
    Afkari-Sayyah, Amir H.
    Jamshidi, Bahareh
    Gorji, Ahmad Mousapour
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2020, 16 (04)