Application of Visible and Shortwave Near Infrared Spectroscopy Combined with PCA-LDA and PLS-DA to Distinguish Sirloin and Shank Beef

Aridatuz Zahroh; Muhammad Fahri Reza Pahlawan; Laila Rahmawati; Bayu Nugraha; Rudiati Evi Masithoh

doi:10.2991/978-94-6463-122-7_37

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Application of Visible and Shortwave Near Infrared Spectroscopy Combined with PCA-LDA and PLS-DA to Distinguish Sirloin and Shank Beef

Authors

Aridatuz Zahroh¹, Muhammad Fahri Reza Pahlawan¹, Laila Rahmawati², Bayu Nugraha¹, Rudiati Evi Masithoh¹^{, *}

¹Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Jl. Flora No. 1, Bulaksumur, Yogyakarta, 55281, Indonesia

²Research Center for Food Technology and Processing, National Research and Innovation Agency, Yogyakarta, Indonesia

^*Corresponding author. Email: evi@ugm.ac.id

Corresponding Author

Rudiati Evi Masithoh

Available Online 22 May 2023.

DOI: 10.2991/978-94-6463-122-7_37 How to use a DOI?
Keywords: beef cuts; Vis-NIR; SW-NIR; spectroscopy; PCA-LDA; PLS-DA
Abstract: Beef is a worldwide commonly consumed meat, and the physicochemical properties of meat differ depending on meat cuts. A method that detects beef cut types is necessary to protect the customer’s rights and prevent fraud in processing and distribution. This study used Vis-NIR and SW-NIR spectroscopy to determine and predict the sliced, minced beef shank and sirloin cut integrated with PLS-DA and PCA-LDA. For both PCA-LDA and PLS-DA, the calibration accuracy and reliability of the Vis-NIR and SW-NIR models were 100%. The result shows that Vis-NIR and SW-NIR spectroscopy can distinguish beef cuts rapidly and accurately.
Copyright: © 2023 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series: Advances in Biological Sciences Research
Publication Date: 22 May 2023
ISBN: 978-94-6463-122-7
ISSN: 2468-5747
DOI: 10.2991/978-94-6463-122-7_37 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Aridatuz Zahroh
AU  - Muhammad Fahri Reza Pahlawan
AU  - Laila Rahmawati
AU  - Bayu Nugraha
AU  - Rudiati Evi Masithoh
PY  - 2023
DA  - 2023/05/22
TI  - Application of Visible and Shortwave Near Infrared Spectroscopy Combined with PCA-LDA and PLS-DA to Distinguish Sirloin and Shank Beef
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 392
EP  - 399
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_37
DO  - 10.2991/978-94-6463-122-7_37
ID  - Zahroh2023
ER  -

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