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ATR-IR coupled to partial least squares regression (PLSR) for monitoring an encapsulated active molecule in complex semi-solid formulations
- Source :
- Analyst, Analyst, Royal Society of Chemistry, 2018, 143 (10), pp.2377-2389. ⟨10.1039/C8AN00547H⟩, Analyst, Royal Society of Chemistry, 2018, 143 (10), pp.2377-2389. 〈http://pubs.rsc.org/en/content/articlelanding/2018/an/c8an00547h#!divAbstract〉. 〈10.1039/C8AN00547H〉, Articles
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Attenuated Total Reflectance-Infrared (ATR-IR) spectroscopy holds great promise for industrial applications as a quality control tool for complex galenic formulations. Although the technique is often promoted for the molecular information it delivers in a label free and cost effective fashion, other advantages can emerge compared to the gold standard analytical tools such as liquid chromatography coupled to mass spectrometry. The present study demonstrates how ATR-IR measurements enable accurate quantitative analysis of an active cosmetic ingredient such as Omegalight® encapsulated in a complex alginate based nano-capsule. The study demonstrates how precise concentrations can be obtained without the requirement for fastidious extraction and separation protocols prior to ATR-IR analysis. However, data mining remains a crucial aspect with particular emphasis on the preprocessing of the data that will be subjected to Partial Least Squares Regression (PLSR) analysis. Therefore, different pre-processing methods have been evaluated to investigate the relationship between corrections applied and PLSR outcomes (i.e. precision, ratio of performance to deviation (RPD) and accuracy of the analysis). Ultimately, it has been found that, against all expectations, some of the preprocessing methods do not necessarily lead to improvements in the end result, while Extended Multiplicative Scattering Correction (EMSC) is the only one which delivers satisfying results, as defined by a Root Mean Square Error (RMSEV) of 0.07% (w/w) and a RPD greater than 30 when performing analysis over the range 0.4–8.2% (w/w). Despite the presence of large amounts of additives such as glycerol and preservatives in the formulation, implementing Leave One Out Cross Validation (LOOCV) further validates the method with a RPD of 18 and relative errors for the predicted concentrations below the 5% (w/w) threshold, hence demonstrating that ATR-IR has analytical capabilities for applications in the cosmetic industry.
- Subjects :
- Partial Least Squares Regression
Mean squared error
02 engineering and technology
Attenuated Total Reflectance
01 natural sciences
Biochemistry
Cross-validation
Analytical Chemistry
[CHIM.ANAL]Chemical Sciences/Analytical chemistry
Partial least squares regression
Omegalight®
Medicine and Health Sciences
Electrochemistry
Environmental Chemistry
Molecule
Infrared spectroscopy
Spectroscopy
Mathematics
Alginate Nano-Carriers
010401 analytical chemistry
Hydrogels
021001 nanoscience & nanotechnology
0104 chemical sciences
label free quantification
Range (mathematics)
Attenuated total reflection
[ CHIM.ANAL ] Chemical Sciences/Analytical chemistry
0210 nano-technology
Biological system
Quantitative analysis (chemistry)
Semi solid
Subjects
Details
- Language :
- English
- ISSN :
- 00032654 and 13645528
- Database :
- OpenAIRE
- Journal :
- Analyst, Analyst, Royal Society of Chemistry, 2018, 143 (10), pp.2377-2389. ⟨10.1039/C8AN00547H⟩, Analyst, Royal Society of Chemistry, 2018, 143 (10), pp.2377-2389. 〈http://pubs.rsc.org/en/content/articlelanding/2018/an/c8an00547h#!divAbstract〉. 〈10.1039/C8AN00547H〉, Articles
- Accession number :
- edsair.doi.dedup.....54ce3893e128137cfeaebe689ef4b027