2013 Ieee Sensors 2013
DOI: 10.1109/icsens.2013.6688293
|View full text |Cite
|
Sign up to set email alerts
|

Raman probe for the simultaneous measurement of anion concentration in mixtures of salt solutions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 14 publications
0
3
0
Order By: Relevance
“…The presence of nitrates (AgNO 3 and NaNO 3 ) can be ruled out as there are no strong peaks corresponding to an A 1g mode of the NO 3 group at ~1049 cm À 1 . Moreover, there are no peaks which would correspond to the OH stretching mode associated with sodium nitrate at ~3500 cm À 1 [14,15]. A Raman map of Ag 2 O marker peaks around 1500 cm À 1 showed the presence of silver oxide (Figure 4c).…”
Section: Resultsmentioning
confidence: 99%
“…The presence of nitrates (AgNO 3 and NaNO 3 ) can be ruled out as there are no strong peaks corresponding to an A 1g mode of the NO 3 group at ~1049 cm À 1 . Moreover, there are no peaks which would correspond to the OH stretching mode associated with sodium nitrate at ~3500 cm À 1 [14,15]. A Raman map of Ag 2 O marker peaks around 1500 cm À 1 showed the presence of silver oxide (Figure 4c).…”
Section: Resultsmentioning
confidence: 99%
“…Inclusion of advanced normalization methods and investigation of SER spectra for hidden trends through principal component analysis and machine learning approaches shows to be promising to extract formerly hidden trends from the obtained data. 30,31 The selection of currently available techniques for in situ nitrate detection clearly shows the need for a modied measurement approach. Hence, we focused on nonfunctionalized substrates using principal component analysis, standard normal variate spectral normalization and internal silicon standards to reduce background noise and remove signal bias due to spectral features inherent to the substrates.…”
Section: Introductionmentioning
confidence: 99%
“…Inclusion of advanced normalization methods and investigation of SER spectra for hidden trends through principal component analysis and machine learning approaches shows to be promising to extract formerly hidden trends from the obtained data. 30,31 …”
Section: Introductionmentioning
confidence: 99%