Discrimination of Intact and InjuredListeria monocytogenesby Fourier Transform Infrared Spectroscopy and Principal Component Analysis

2004 ◽  
Vol 52 (19) ◽  
pp. 5769-5772 ◽  
Author(s):  
Mengshi Lin ◽  
Murad Al-Holy ◽  
Hamzah Al-Qadiri ◽  
Dong-Hyun Kang ◽  
Anna G. Cavinato ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Component Analysis

scholarly journals Detection of Edible Bird’s Nest Using Fourier Transform Infrared Spectroscopy (FTIR) Combined with Principle Component Analysis (PCA)

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Noor Atikah S. ◽  
Nur Azira Tukiran ◽  
Nurul Azarima M. A. ◽  
Haizatul Hadirah G. ◽  
Siti Nur Syahirah Z.
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Fourier Transform Infrared Spectroscopy ◽  
Principal Component ◽  
Fourier Transform Infrared ◽  
Component Analysis ◽  
Simple Approach ◽  
Pca Analysis ◽  
Edible Bird’S Nest ◽  
Limited Supply

Edible bird’s nest (EBN) is rich in nutrients and health benefits; making it one of the Chinese delicacies over the centuries. However, due to the overpriced and limited supply of EBN, it is being adulterated with other cheaper versions. Therefore, the aim of this study is to establish a method of detecting adulterants in EBN using Fourier transform infrared spectroscopy (FTIR) as the spectrum fingerprinting analysis together with principal component analysis (PCA). Spiked samples have been developed for Tremella fungus and porcine gelatine at the concentrations of 1%, 5%, 10%, 20% and 30% (w/w). The FTIR method combined with PCA analysis was able to detect the adulteration of porcine gelatine and Tremella fungus in the sample of adulterated EBNs at low concentration of 1% (w/w). The simple approach employing FTIR combined with PCA may provide a useful tool for EBN detection.

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