Preliminary Study of Beef and Pork FTIR Spectra: PCA Analysis

M. N. Hudha, Y. L. Ni'mah, K. A. Madurani, M. E. Andrayani, F. Kurniawan*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Identification of pork and beef has been performed using the ATR-FTIR. Pork and beef spectra have their characteristics so that they can be distinguished. The beef was bought from Super Indo Kertajaya Surabaya, and the pork was bought from Pabean Surabaya's traditional market. The sample was cut into ten small and thin sections according to the size of the instrument chamber and immediately characterized without any other preparation. The sample was measured using ATR-FTIR at a wavenumber of 400-4000 cm-1. The beef spectrum showed peaks characteristic at wavenumber 1480-1575; 1670-1700; 2853-2962; and 3000-3600 cm-1 while pork spectrum showed peak characteristic at wavenumber 1480-1575; 1670-1700; 2853-2962; and 3000-3600 cm-1. Both spectra are hard to distinguish directly. Therefore, it is necessary to analyze the data using principal component analysis (PCA). The PCA results showed that the data reduction of the first principal component (PC1) and the second principal component (PC2) representing the PCA plot scores of beef and pork were successfully differentiated.

Original languageEnglish
Article number012065
JournalIOP Conference Series: Earth and Environmental Science
Volume1083
Issue number1
DOIs
Publication statusPublished - 2022
Event2021 International Conference on Climate Change, Agriculture, Biodiversity, and Environment Study, CABE 2021 - Tarakan, Virtual, Indonesia
Duration: 22 Dec 202124 Dec 2021

Keywords

  • ATR-FTIR
  • Beef
  • Pork
  • Principal component analysis

Fingerprint

Dive into the research topics of 'Preliminary Study of Beef and Pork FTIR Spectra: PCA Analysis'. Together they form a unique fingerprint.

Cite this