Proceedings of the 12th International Conference on Green Technology (ICGT 2022)

Linear Discriminant Analysis (LDA) and Partial Least Square (PLS) of Chemometric in Mixture of Lard and Palm Oil-Based on Ftir-Spectroscopy Data

Authors
Imam Tazi1, *
1Department of Physics, Science and Technology of Faculty, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Malang, Indonesia
*Corresponding author. Email: tazi@fis.uin-malang.ac.id
Corresponding Author
Imam Tazi
Available Online 29 May 2023.
DOI
10.2991/978-94-6463-148-7_37How to use a DOI?
Keywords
FTIR; Chemometrics; LDA; PLS
Abstract

Oil as a basic food requirement is often misused by irresponsible individuals, such as lard mixed in palm oil. This is certainly detrimental to society. Indonesia which has a majority Muslim population will have a big influence on the authenticity of oil. FTIR can be an alternative way to distinguish authentic and mixed foods or oils. The purpose of this study is to find out the difference between lard, palm oil, and the mixture of both by using FTIR combined with LDA (Linear Discriminant Analysis) and PLS and find out how much the contribution of LDA and PLS in distinguishing mixed pig oil, palm oil and oil both. The results obtained showed that FTIR was less effective in distinguishing between samples so it was necessary to combine it with LDA and PLS. LDA processed with the stepwise method gives good grouping results. There are two discriminant functions obtained. The LDA data shows the first discriminant function that is obtained with a variance value of 99.3% and the second discriminant function with a variance value of 0.07%. The LDA data shows the first discriminant function that is obtained with a variance value of 99.3% and the second discriminant function with a variance value of 0.07%. PLS data shows good results, which can be seen in the R2 value and validation error value (RMSECV) and low calibration error (RMSE).

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 12th International Conference on Green Technology (ICGT 2022)
Series
Advances in Engineering Research
Publication Date
29 May 2023
ISBN
978-94-6463-148-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-148-7_37How to use a DOI?
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.

Cite this article

TY  - CONF
AU  - Imam Tazi
PY  - 2023
DA  - 2023/05/29
TI  - Linear Discriminant Analysis (LDA) and Partial Least Square (PLS) of Chemometric in Mixture of Lard and Palm Oil-Based on Ftir-Spectroscopy Data
BT  - Proceedings of the 12th International Conference on Green Technology (ICGT 2022)
PB  - Atlantis Press
SP  - 378
EP  - 385
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-148-7_37
DO  - 10.2991/978-94-6463-148-7_37
ID  - Tazi2023
ER  -