Variation in the proximate composition of edible marine macroalga Ulva rigida collected from different coastal zones of India

Nikunj Balar; Preeti Sharnagat; Puja Kumari; Vaibhav A. Mantri

doi:10.1007/s13197-019-03929-w

Variation in the proximate composition of edible marine macroalga Ulva rigida collected from different coastal zones of India

Nikunj Balar, Preeti Sharnagat, Puja Kumari, Vaibhav A. Mantri^* (Corresponding Author)

^*Corresponding author for this work

Aberdeen Centre For Environmental Sustainability

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Several species of cosmopolitan marine macroalgal genus Ulva (Chlorophyta) are economically important due to high growth, carbohydrate, protein and lipid content. Nevertheless, analysis pertaining these traits of any species has by no means been explicitly investigated. We herein investigated 109 samples of U. rigida from fifteen locations of Indian coast for carbohydrate, protein and lipid content suitable for further development of scaled-up production. The carbohydrate, protein and lipid content ranged from 16.63 ± 1.07 to 65.93 ± 0.49% dry weight, 4.14 ± 0.45 to 26.0 ± 1.43% dry weight and 0.8 ± 0.08 to 3.1 ± 0.04% dry weight respectively. Principal component analysis provides an interpretable overview of main information enclosed in a multidimensional data set satisfactorily explained 72.1% of the total variability in the present data, with principal component 1 accounting for 38.7% and principal component 2 for 33.4% of the total variation. The study confirmed that the strain collected from Gopnath, Gujarat possesses high potential for industrial exploitation due to its high carbohydrate level. Growing this alga on large-scale might pave ways for socio-economic development of coastal populace.

Original language	English
Pages (from-to)	4749-4755
Number of pages	7
Journal	Journal of Food Science and Technology
Volume	56
Issue number	10
Early online date	19 Jul 2019
DOIs	https://doi.org/10.1007/s13197-019-03929-w
Publication status	Published - 1 Oct 2019

Bibliographical note

Funding Information:
We would like to thank Analytical Division and Centralized Instrument Facility for support. This work is carried out under Indo-UK collaborative project entitled “Transnational approaches to resolving biological bottlenecks in macroalgal biofuel production (SuBBSea).” The financial support by Department of Biotechnology, Ministry of Science and Technology, New Delhi is gratefully acknowledged [BT/IN/Indo-UK/SuBB/22/AML/2013]. We would like to thank the anonymous reviewers and handling editor for constructive comments on the manuscript. We thanks Dr. CRK Reddy, Retired Scientist and Principal Investigator of the project for facilitating the work and constructive suggestions to improve the original draft of the manuscript. Dr. M. Ganesan, Dr. Monica Kawale, Mr. Ashok Bhagat and Ms. Richa Sharma are acknowledged for enhancing sampling efforts. Authors would like to thank Dr. Amitava Das, Director, CSIR, CSMCRI for facilities and encouragement. This has CSIR-CSMCRI PRIS Registration Number PRIS 010/2017 dt. 18.01.2017.

Data Availability Statement

No data availability statement.

Keywords

Carbohydrate
Lipid
Marine macro algae
Principal component analysis
Protein
Ulva

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Cite this

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abstract = "Several species of cosmopolitan marine macroalgal genus Ulva (Chlorophyta) are economically important due to high growth, carbohydrate, protein and lipid content. Nevertheless, analysis pertaining these traits of any species has by no means been explicitly investigated. We herein investigated 109 samples of U. rigida from fifteen locations of Indian coast for carbohydrate, protein and lipid content suitable for further development of scaled-up production. The carbohydrate, protein and lipid content ranged from 16.63 ± 1.07 to 65.93 ± 0.49% dry weight, 4.14 ± 0.45 to 26.0 ± 1.43% dry weight and 0.8 ± 0.08 to 3.1 ± 0.04% dry weight respectively. Principal component analysis provides an interpretable overview of main information enclosed in a multidimensional data set satisfactorily explained 72.1% of the total variability in the present data, with principal component 1 accounting for 38.7% and principal component 2 for 33.4% of the total variation. The study confirmed that the strain collected from Gopnath, Gujarat possesses high potential for industrial exploitation due to its high carbohydrate level. Growing this alga on large-scale might pave ways for socio-economic development of coastal populace.",

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author = "Nikunj Balar and Preeti Sharnagat and Puja Kumari and Mantri, {Vaibhav A.}",

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AU - Sharnagat, Preeti

AU - Kumari, Puja

AU - Mantri, Vaibhav A.

N1 - Funding Information: We would like to thank Analytical Division and Centralized Instrument Facility for support. This work is carried out under Indo-UK collaborative project entitled “Transnational approaches to resolving biological bottlenecks in macroalgal biofuel production (SuBBSea).” The financial support by Department of Biotechnology, Ministry of Science and Technology, New Delhi is gratefully acknowledged [BT/IN/Indo-UK/SuBB/22/AML/2013]. We would like to thank the anonymous reviewers and handling editor for constructive comments on the manuscript. We thanks Dr. CRK Reddy, Retired Scientist and Principal Investigator of the project for facilitating the work and constructive suggestions to improve the original draft of the manuscript. Dr. M. Ganesan, Dr. Monica Kawale, Mr. Ashok Bhagat and Ms. Richa Sharma are acknowledged for enhancing sampling efforts. Authors would like to thank Dr. Amitava Das, Director, CSIR, CSMCRI for facilities and encouragement. This has CSIR-CSMCRI PRIS Registration Number PRIS 010/2017 dt. 18.01.2017.

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N2 - Several species of cosmopolitan marine macroalgal genus Ulva (Chlorophyta) are economically important due to high growth, carbohydrate, protein and lipid content. Nevertheless, analysis pertaining these traits of any species has by no means been explicitly investigated. We herein investigated 109 samples of U. rigida from fifteen locations of Indian coast for carbohydrate, protein and lipid content suitable for further development of scaled-up production. The carbohydrate, protein and lipid content ranged from 16.63 ± 1.07 to 65.93 ± 0.49% dry weight, 4.14 ± 0.45 to 26.0 ± 1.43% dry weight and 0.8 ± 0.08 to 3.1 ± 0.04% dry weight respectively. Principal component analysis provides an interpretable overview of main information enclosed in a multidimensional data set satisfactorily explained 72.1% of the total variability in the present data, with principal component 1 accounting for 38.7% and principal component 2 for 33.4% of the total variation. The study confirmed that the strain collected from Gopnath, Gujarat possesses high potential for industrial exploitation due to its high carbohydrate level. Growing this alga on large-scale might pave ways for socio-economic development of coastal populace.

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SN - 0022-1155

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JF - Journal of Food Science and Technology

IS - 10

ER -

Variation in the proximate composition of edible marine macroalga Ulva rigida collected from different coastal zones of India

Abstract

Bibliographical note

Data Availability Statement

Keywords

UN SDGs

Access to Document

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