Experimental datasets on the extraction of functional ingredients from seaweeds for controlling bacterial infection

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-21 DOI:10.1016/j.dib.2025.111569

Nehal M. El-Deeb , Tamer A.E. Ahmed , Amal D. Premarathna , Vitalijs Rjabovs , Rando Tuvikene , Riadh Hammami , Martine Boulianne , Maxwell T. Hincke

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引用次数: 0

Abstract

Seaweeds are gaining significant attention for their bioactive compounds, which hold great potential for use in food, cosmetics, and pharmaceuticals [1]. To avoid the use of toxic substances in the extraction process, there is a need for innovative and eco-friendly methods to exploit the highly potent raw seaweed biomass. Described herein are the datasets of how the particle size reduction of seaweeds positively enhanced the efficacy of green extraction in boosting the extraction yields of seaweed bioactive compounds.

Different green extraction approaches were used to accumulate different seaweed particle sizes that were collected via grinding and sieving [2]. The total yields of carbohydrates, glucuronic acids, proteins, phenolics and flavonoids were quantified to evaluate the efficacy of the extraction strategies. The efficacy and safety usages of the extracts were assessed using different pathogenic bacterial strains and human cell lines, respectively.

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海藻控制细菌感染功能成分提取实验数据集

海藻因其生物活性化合物而备受关注，在食品、化妆品和药品等方面具有巨大的应用潜力。为了避免在提取过程中使用有毒物质，需要创新和环保的方法来开发高效的生海藻生物质。本文描述的数据集是如何降低海藻的粒径，积极提高绿色提取在提高海藻生物活性化合物提取率方面的功效。采用不同的绿色提取方法，对经过研磨和筛分收集的不同粒径的海藻进行堆积。通过定量分析碳水化合物、葡萄糖醛酸、蛋白质、酚类物质和黄酮类化合物的总得率，评价不同提取策略的提取效果。分别用不同的致病菌株和人细胞系对提取物的功效和安全性进行了评价。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.