Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)

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 o...

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Main Authors: S, Noor Atikah, Tukiran, Nur Azira, Mohd Ali, Nurul Azarima, Ghazali, Haizatul Hadirah, Zulkifli, Siti Nur Syahirah
Format: Article
Language:English
Published: HH Publisher 2020
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Online Access:http://irep.iium.edu.my/92311/1/92311_Detection%20of%20edible%20bird%E2%80%99s%20nest.pdf
http://irep.iium.edu.my/92311/
http://journals.hh-publisher.com/index.php/JHIS/article/view/310/222
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spelling my.iium.irep.923112021-09-20T01:17:55Z http://irep.iium.edu.my/92311/ Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA) S, Noor Atikah Tukiran, Nur Azira Mohd Ali, Nurul Azarima Ghazali, Haizatul Hadirah Zulkifli, Siti Nur Syahirah Q Science (General) 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. HH Publisher 2020-12-28 Article PeerReviewed application/pdf en http://irep.iium.edu.my/92311/1/92311_Detection%20of%20edible%20bird%E2%80%99s%20nest.pdf S, Noor Atikah and Tukiran, Nur Azira and Mohd Ali, Nurul Azarima and Ghazali, Haizatul Hadirah and Zulkifli, Siti Nur Syahirah (2020) Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA). Journal of Halal Industry & Services, 3 (1). E-ISSN 2637-0891 http://journals.hh-publisher.com/index.php/JHIS/article/view/310/222
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic Q Science (General)
spellingShingle Q Science (General)
S, Noor Atikah
Tukiran, Nur Azira
Mohd Ali, Nurul Azarima
Ghazali, Haizatul Hadirah
Zulkifli, Siti Nur Syahirah
Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
description 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.
format Article
author S, Noor Atikah
Tukiran, Nur Azira
Mohd Ali, Nurul Azarima
Ghazali, Haizatul Hadirah
Zulkifli, Siti Nur Syahirah
author_facet S, Noor Atikah
Tukiran, Nur Azira
Mohd Ali, Nurul Azarima
Ghazali, Haizatul Hadirah
Zulkifli, Siti Nur Syahirah
author_sort S, Noor Atikah
title Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
title_short Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
title_full Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
title_fullStr Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
title_full_unstemmed Detection of edible bird’s nest using Fourier Transform Infrared Spectroscopy (FTIR) combined with Principle Component Analysis (PCA)
title_sort detection of edible bird’s nest using fourier transform infrared spectroscopy (ftir) combined with principle component analysis (pca)
publisher HH Publisher
publishDate 2020
url http://irep.iium.edu.my/92311/1/92311_Detection%20of%20edible%20bird%E2%80%99s%20nest.pdf
http://irep.iium.edu.my/92311/
http://journals.hh-publisher.com/index.php/JHIS/article/view/310/222
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score 13.160551