DOI : https://doi.org/10.18517/ijaseit.14.3.19841

Partial Least Square Regression for Nondestructive Determination of Sucrose Content of Healthy and Fusarium spp. Infected Potato (Solanum tuberosum L.) Utilizing Visible and Near-Infrared Spectroscopy

Eko Widi Prasetyo (1), Hanim Zuhrotul Amanah (2), Ibnu Farras (3), Muhammad Fahri Reza Pahlawan (4), Rudiati Evi Masithoh (5)
(1) Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
(2) Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
(3) Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
(4) College of Agriculture and Life Science, Department of Biosystems Machinery Engineering, Chungnam National University, Yuseong-Gu Daejeon, 34134, Republic of Korea
(5) Faculty of Agricultural Technology, Universitas Gadjah Mada
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How to cite (IJASEIT) :
Prasetyo, Eko Widi, et al. “Partial Least Square Regression for Nondestructive Determination of Sucrose Content of Healthy and Fusarium Spp. Infected Potato (Solanum Tuberosum L.) Utilizing Visible and Near-Infrared Spectroscopy”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 3, June 2024, pp. 1001-9, doi:10.18517/ijaseit.14.3.19841.
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Conventional methods of quantifying the chemical content of potatoes at different storage temperatures are time-consuming and expensive. This research studied the Visible and Near Infrared (Vis-NIR) spectroscopy for possible rapid and nondestructive methods. In this study, healthy and Fusarium spp. Potato seeds of Granola L varieties were infected artificially through the process of inoculation of fungi, and healthy potatoes were stored in various post-harvest storage conditions, namely temperatures 12°C, 25°C and a combination of temperatures 12°C and 25°C. VIS-NIR spectral data from seeds are observed periodically during the storage period. The study results showed that Vis-NIR predicted sucrose content in potatoes. The best-developed PLSR calibration model for potatoes stored at 25°C and a combination of 12°C and 25°C show R2c of 0.87 and 0.83 and RMSEC of 0.26 and 0.28. The models also successfully predicted the sugar content of potato stored at 25°C and a combination of temperatures 12°C and 25°C with R2p 0.75 and 0.78, RMSEP of 0.36 and 0.32, and RPD of 1.99 and 2.81 for sucrose. The developed model of sucrose content or potato storage temperatures of 12°C is not recommended for monitoring and detection due to the low RPD < 1.9 even though the R2c values are 0.65 – 0.9. the results of this investigation indicate that VIS-NIR spectroscopy could potentially serve as a tool for quantifying the chemical composition of potatoes during post-harvest storage.

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