2015
DOI: 10.2174/2210686305666150817225812
|View full text |Cite
|
Sign up to set email alerts
|

Comparison of Chemometric Algorithms for Multicomponent Analyses and Signal Processing: An Example from 4-(2- Pyridylazo) Resorcinol-Metal Colored Complexes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
3
1

Relationship

2
2

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 42 publications
0
2
0
Order By: Relevance
“…The ultimate goal of PLS is to develop predictive models that will utilize the ATR-FTIR absorbance spectra to simultaneously predict the concentrations of corn, cane, beet, and rice syrups without any need for analytical separations. It is a powerful multivariate statistical method with a wide multitude of successes in many areas [18][19][20][21]. Mathematically, PLS involves the decomposition of A (absorbance) and C (concentration) as follows:…”
Section: Methodsmentioning
confidence: 99%
“…The ultimate goal of PLS is to develop predictive models that will utilize the ATR-FTIR absorbance spectra to simultaneously predict the concentrations of corn, cane, beet, and rice syrups without any need for analytical separations. It is a powerful multivariate statistical method with a wide multitude of successes in many areas [18][19][20][21]. Mathematically, PLS involves the decomposition of A (absorbance) and C (concentration) as follows:…”
Section: Methodsmentioning
confidence: 99%
“…It is also possible to see the addition of some spectral variations due to the impurities. If those spectral changes are linear and related to a measurable parameter, they can be included in the CLS calibrations 11.…”
Section: Methodsmentioning
confidence: 99%