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Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning

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Listed:
  • Ali Khorramifar
  • Mansour Rasekh
  • Hamed Karami
  • Jesús Lozano
  • Marek Gancarz
  • Ewa Łazuka
  • Grzegorz Łagód

Abstract

The activities of alpha-amylase, beta-amylase, sucrose synthase, and invertase enzymes are under the influence of storage conditions and can affect the structure of starch, as well as the sugar content of potatoes, hence altering their quality. Storage in a warehouse is one of the most common and effective methods of storage to maintain the quality of potatoes after their harvest, while preserving their freshness and sweetness. Smart monitoring and evaluation of the quality of potatoes during the storage period could be an effective approach to improve their freshness. This study is aimed at assessing the changes in the potato quality by an electronic nose (e-nose) in terms of the sugar and carbohydrate contents. Three potato cultivars (Agria, Santé, and Sprite) were analyzed and their quality variations were separately assessed. Quality parameters (i.e. sugar and carbohydrate contents) were evaluated in six 15-day periods. The e-nose data were analyzed by means of chemometric methods, including principal component analysis (PCA), linear data analysis (LDA), support vector machine (SVM), and artificial neural network (ANN). Quadratic discriminant analysis (QDA) and multivariate discrimination analysis (MDA) offer the highest accuracy and sensitivity in the classification of data. The accuracy of all methods was higher than 90%. These results could be applied to present a new approach for the assessment of the quality of stored potatoes.

Suggested Citation

  • Ali Khorramifar & Mansour Rasekh & Hamed Karami & Jesús Lozano & Marek Gancarz & Ewa Łazuka & Grzegorz Łagód, 2023. "Determining the shelf life and quality changes of potatoes (Solanum tuberosum) during storage using electronic nose and machine learning," PLOS ONE, Public Library of Science, vol. 18(4), pages 1-22, April.
    • Handle: RePEc:plo:pone00:0284612
    DOI: 10.1371/journal.pone.0284612
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    References listed on IDEAS

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    1. Hamed Karami & Mohammad Kaveh & Iman Golpour & Esmail Khalife & Robert Rusinek & Bohdan Dobrzański & Marek Gancarz, 2021. "Thermodynamic Evaluation of the Forced Convective Hybrid-Solar Dryer during Drying Process of Rosemary ( Rosmarinus officinalis L.) Leaves," Energies, MDPI, vol. 14(18), pages 1-17, September.
    2. Tomasz Jakubowski & Jolanta B. Królczyk, 2020. "Method for the Reduction of Natural Losses of Potato Tubers During their Long-Term Storage," Sustainability, MDPI, vol. 12(3), pages 1-12, February.
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