2007
DOI: 10.1016/j.vibspec.2006.11.006
|View full text |Cite
|
Sign up to set email alerts
|

Application of FTIR spectroscopy in ecotoxicological studies supported by multivariate analysis and 2D correlation spectroscopy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
17
0

Year Published

2008
2008
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 39 publications
(18 citation statements)
references
References 14 publications
0
17
0
Order By: Relevance
“…5). The biological characteristic bands, including the acyl vibration bands from fatty acids and lipids, amide I and II protein vibration bands, nucleic acid vibration bands, and phospholipids (22), were recognizable and are highlighted in Fig. 5.…”
Section: Vol 192 2010 Impact Of Silver(i) On Metabolism Of S Oneidmentioning
confidence: 99%
“…5). The biological characteristic bands, including the acyl vibration bands from fatty acids and lipids, amide I and II protein vibration bands, nucleic acid vibration bands, and phospholipids (22), were recognizable and are highlighted in Fig. 5.…”
Section: Vol 192 2010 Impact Of Silver(i) On Metabolism Of S Oneidmentioning
confidence: 99%
“…Infra-Red spectroscopy has already been used on algae to analyze nutrients, to identify polysaccharides structures or fucoidans [27] and also to get a physiological fingerprint of the potential growth of microalgae. Ecotoxicological studies can also benefit from this technique, which allows the observation of metal [28] . Considerable technological advances on this process now allow the use of FTIR as a quantification tool for evaluating macromolecules composition changes in microalgae [29] .…”
Section: Introductionmentioning
confidence: 99%
“…The application of chemometric methods like PCA and LDA allows the extraction of key features from the IR spectrum in the form of loadings and cluster vectors, which denote which regions of the IR spectrum are responsible for segregation between control and treated cells when viewed alongside the scores plots (Baker et al, 2014;Martin et al, 2010;Trevisan et al, 2012). The combination of IR spectroscopy and multivariate techniques for feature extraction has previously been applied in human, algal and bacterial cell types in order to distinguish between treated and control cells and generate potential biomarkers based upon the loadings and cluster vectors generated Johnson et al, 2014;Llabjani et al, 2010Llabjani et al, , 2011Mecozzi et al, 2007;Riding et al, 2012a;Ukpebor et al, 2011).…”
Section: Introductionmentioning
confidence: 99%