Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses
Multivariate analysis including correlation, multiple stepwise linear regression, and cluster analyses were applied to investigate the heavy metal concentrations (Cd, Cu, Fe, Ni, Pb, and Zn) in the different parts of bivalves and gastropods. It was also aimed to distinguish statistically the differe...
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Format: | Article |
Language: | English |
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Springer
2010
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Online Access: | http://psasir.upm.edu.my/id/eprint/16713/1/Similarities%20and%20differences%20of%20metal%20distributions%20in%20the%20tissues%20of%20molluscs%20by%20using%20multivariate%20analyses.pdf |
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author | Yap, Chee Kong Edward Thomas, Franklin Berandah Tan, Soon Guan |
author_facet | Yap, Chee Kong Edward Thomas, Franklin Berandah Tan, Soon Guan |
author_sort | Yap, Chee Kong |
collection | UPM |
description | Multivariate analysis including correlation, multiple stepwise linear regression, and cluster analyses were applied to investigate the heavy metal concentrations (Cd, Cu, Fe, Ni, Pb, and Zn) in the different parts of bivalves and gastropods. It was also aimed to distinguish statistically the differences between the marine bivalves and the gastropods with regards to the accumulation of heavy metals in the different tissues. The different parts of four species of bivalves and four species of gastropods were obtained and analyzed for heavy metals. The multivariate analyses were then applied on the data. From the multivariate analyses conducted, there were correlations found between the soft tissues of bivalves and gastropods, but none was found between the shells and the soft tissues of most of the molluscs (except for Cerithidea obtusa and Puglina cochlidium). The significant correlations (P < 0.05) found between the soft tissues were further complemented by the multiple stepwise linear regressions where heavy metals in the total soft tissues were influenced by the accumulation in the different types of soft tissues. The present study found that the distributions of heavy metals in the different parts of molluscs were related to their feeding habits and living habitats. The statistical approaches proposed in this study are recommended for use in biomonitoring studies, since multivariate analyses can reduce the cost and time involved in identifying an effective tissue to monitor the heavy metal(s) bioavailability and contamination in tropical coastal waters. |
first_indexed | 2024-03-06T07:38:14Z |
format | Article |
id | upm.eprints-16713 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T07:38:14Z |
publishDate | 2010 |
publisher | Springer |
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spelling | upm.eprints-167132016-12-01T01:10:03Z http://psasir.upm.edu.my/id/eprint/16713/ Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses Yap, Chee Kong Edward Thomas, Franklin Berandah Tan, Soon Guan Multivariate analysis including correlation, multiple stepwise linear regression, and cluster analyses were applied to investigate the heavy metal concentrations (Cd, Cu, Fe, Ni, Pb, and Zn) in the different parts of bivalves and gastropods. It was also aimed to distinguish statistically the differences between the marine bivalves and the gastropods with regards to the accumulation of heavy metals in the different tissues. The different parts of four species of bivalves and four species of gastropods were obtained and analyzed for heavy metals. The multivariate analyses were then applied on the data. From the multivariate analyses conducted, there were correlations found between the soft tissues of bivalves and gastropods, but none was found between the shells and the soft tissues of most of the molluscs (except for Cerithidea obtusa and Puglina cochlidium). The significant correlations (P < 0.05) found between the soft tissues were further complemented by the multiple stepwise linear regressions where heavy metals in the total soft tissues were influenced by the accumulation in the different types of soft tissues. The present study found that the distributions of heavy metals in the different parts of molluscs were related to their feeding habits and living habitats. The statistical approaches proposed in this study are recommended for use in biomonitoring studies, since multivariate analyses can reduce the cost and time involved in identifying an effective tissue to monitor the heavy metal(s) bioavailability and contamination in tropical coastal waters. Springer 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16713/1/Similarities%20and%20differences%20of%20metal%20distributions%20in%20the%20tissues%20of%20molluscs%20by%20using%20multivariate%20analyses.pdf Yap, Chee Kong and Edward Thomas, Franklin Berandah and Tan, Soon Guan (2010) Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses. Environmental Monitoring and Assessment, 165 (1-4). pp. 39-53. ISSN 0167-6369; ESSN: 1573-2959 10.1007/s10661-009-0925-6 |
spellingShingle | Yap, Chee Kong Edward Thomas, Franklin Berandah Tan, Soon Guan Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title | Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title_full | Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title_fullStr | Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title_full_unstemmed | Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title_short | Similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
title_sort | similarities and differences of metal distributions in the tissues of molluscs by using multivariate analyses |
url | http://psasir.upm.edu.my/id/eprint/16713/1/Similarities%20and%20differences%20of%20metal%20distributions%20in%20the%20tissues%20of%20molluscs%20by%20using%20multivariate%20analyses.pdf |
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