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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This review compiles different analytical methods reported by the researchers studying heavy metal contents in seaweed samples from a variety of natural and commercial sources. Heavy metals in seaweed affect environmental health and human health due to seaweed’s role in the aquatic food chain and human consumption. The potential for heavy metal presence in seaweed is due to industrial pollution and other human activities. There is an ongoing demand for evaluation of the presence of nutritional as well as hazardous metals in raw and processed seaweeds. This review article will look at the importance and usage of seaweed, the importance of measuring heavy metals in seaweed, seaweed’s ability to absorb heavy metals, the health risks of consuming seaweed, and reported atomic spectroscopy-based heavy metal analysis methods in research on seaweed.

Details

Title
Atomic Spectroscopy-Based Analysis of Heavy Metals in Seaweed Species
Author
Lindenmayer, Randall 1 ; Lu, Lucy 2 ; Eivazi, Frieda 3 ; Afrasiabi, Zahra 4   VIAFID ORCID Logo 

 Environmental Studies, Soka University of America, Aliso Viejo, CA 92656, USA 
 Life Sciences, Soka University of America, Aliso Viejo, CA 92656, USA 
 Department of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, MO 65101, USA 
 Life Sciences, Soka University of America, Aliso Viejo, CA 92656, USA; Department of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, MO 65101, USA 
First page
4764
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2806478033
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.