Secondary analysis of mineral proximate data of selected seaweeds collected from Veraval western coast of India. | ||
| Egyptian Journal of Aquatic Biology and Fisheries | ||
| Article 39, Volume 26, Issue 4, July and August 2022, Pages 645-654 PDF (508.41 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejabf.2022.253151 | ||
| Author | ||
| Kiran Dangar et al. | ||
| Abstract | ||
| Seaweed is known as a rich source of mineral composition and a huge number of nutritive elements. The mineral composition of seaweed is variable because of many exogenous and endogenous aspects besides the large significant differences within the same species. The mineral content of some selected species, belonging to classes, viz. Chlorophyta: Ulva clathrate, Ulva rigida, Chamaedoris auriculata, Rhodophyta: Gracilaria friifern, Griffithsia opuntioides, and Jania rubens Phaeophyta: Padina tetrastomatica, Cystoseria trinodis were investigated. They were obtained from the Veraval coastal region of Junagadh district, India. The aim of the study was to evaluate the water-soluble mineral composition, such as (Ca+2, Mg+2, Na+, K+, Cl-) and bioactive components; namely, protein and carbohydrate of different marine seaweeds (red, green, and brown) with respect to water mineral composition and other water physical parameters. Biological data intertwisted with several inclusive analytical methods such as secondary data analysis, combining several data measurements are required for the investigation of entering coalition within and among species. This study described a method of data pre-processing that can be widely integrated, based on a variety of multi measurements of the mineral composition of different seaweed species and the water parameter of the coastal area. This analytical tactic using a variety of statistical tools and a graphical representation, such as correlation network analysis, principal component analysis, and piper diagram revealed multiple relationships between mineral composition and different seaweed species and water analysis. | ||
| Keywords | ||
| Seaweeds; Mineral composition; Water analysis; Correlation; Principal component analysis | ||
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