Application of chemometric techniques: An innovative approach to discriminate two seaweed cultivars by physico-functional properties

Albert Linton Charlesa, ,- and Mochammad Amin Alamsjah, ,- (2019) Application of chemometric techniques: An innovative approach to discriminate two seaweed cultivars by physico-functional properties. Food Chemistry, 289. pp. 269-277. ISSN 18737072

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Abstract

Chemometric techniques were employed to discriminate two Indonesian seaweed cultivars (Kappaphycus alvarezii and Sargassum duplicatum) based on their physico-functional properties. Data of physico-functional properties, including emulsifying activity and bulk density, were processed using multivariate, discriminant analysis (DA), principal component analysis (PCA), and cluster analysis (CA). Significant differences (p < 0.05) and discrimination (multivariate analysis (F9,14=57.85; Wilks’s lambda=0.02, p < 0.0001)) were determined among physico-functional properties of seaweed powders. In addition, DA method clarified (Λ=0.02 and χ2=63.74) variations between samples along with two discriminate functions. Moreover, PCA (49.63% with Eigenvalues > 1) and CA (clusters 1 and 2) methods confirmed that the seaweed samples possessed differing physico-functional properties, which implied their distinctive use in food product development. Overall, our results demonstrated strong variation in seaweed powers using chemometrics, which might contribute to the rapid applicability of chemometrics in evaluating novel food material.

Item Type: Article
Uncontrolled Keywords: Seaweed cultivars Physico-functional properties Chemometrics Discriminant analysis Cluster analysis
Subjects: S Agriculture > SH Aquaculture. Fisheries. Angling
S Agriculture > SH Aquaculture. Fisheries. Angling > SH1-691 Aquaculture. Fisheries. Angling > SH20.3-191 Aquaculture
Divisions: 14. Fakultas Perikanan dan Kelautan > Kelautan
Creators:
CreatorsNIM
Albert Linton Charlesa, ,-UNSPECIFIED
Mochammad Amin Alamsjah, ,-0016017002
Depositing User: Eki Pristiyanto pristiyanto
Date Deposited: 06 Apr 2023 04:35
Last Modified: 27 Apr 2023 07:50
URI: http://repository.unair.ac.id/id/eprint/122248
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