Multivariate data analysis in pharmaceutics: A tutorial review

Rajalahti, Tarja; Kvalheim, Olav M.

doi:10.1016/j.ijpharm.2011.02.019

Cited by 509 publications

(354 citation statements)

References 136 publications

Supporting

Mentioning

333

Contrasting

Unclassified

Order By: Relevance

“…These groups of results were evaluated statistically and the resulting models showed values in line with quality parameters R 2 and Q 2 (explained variance of approximately 99% and a predicted variance above 50%) 53 . T-test analysis with p-values and data modelling using the PLS (Principal Least Squares) progression were carried out 54,55 . A large number of signals could be studied in the discrimination of classes considering the Variable-Importance-in-Projection-(VIP) which was set at a minimum value of 2.…”

Section: Resultsmentioning

confidence: 99%

Direct infussion Electrospray Mass Spectrometry as a new non-invasive tool for serum metabolomics in induced-stress subjects

et al. 2015

View full text Add to dashboard Cite

-Background and Objectives: Nanotechnology is becoming a tool for the study of changes in the metabolome of patients in different states of disease. Analytical techniques such as Electrospray Mass Spectrometry, allow to find biomarkers by determination of metabolites. Nowadays, there is not an objective analytical approach for diagnosis of stress. Thus, the objectives of this pilot work are: Describing the development of a fast, direct and non-invasive analytical protocol, applied for the first time, to study the metabolomic profile of patient s different states through a disease. Testing the protocol in a pilot sample with non-stressed and stress-induced subjects.Methods: High resolution direct infusion electrospray mass spectrometry has been used to analyse the metabolome of blood samples (0.3 ml) from six subjects.Results: Data prove a clear discrimination between non-stressed and stressed states in the metabolome. Data showed different predominant metabolites in both states. Results allow objective characterization of the state of the patient.Conclusions: Although this is a pilot study, the method was successful in discriminating different metabolites in non-stressed and stress-induced subjects.

show abstract

Section: Resultsmentioning

confidence: 99%

Direct infussion Electrospray Mass Spectrometry as a new non-invasive tool for serum metabolomics in induced-stress subjects

et al. 2015

View full text Add to dashboard Cite

show abstract

“…However, the multivariate approaches such as Principal Component Regression (PCR) and PLS have been quite appropriate due to dimensionality reduction, which creates a new set of variables called principal components (Rajalahti;Kvalheim, 2011). So with data mining for Multivariate Analysis, it is possible to relate the physicochemical properties (quality characteristics) of products with the chemical composition of the sample reflected by the absorption spectra.…”

Section: Acquisition Database: Infrared Radiationmentioning

confidence: 99%

Contributions of Multivariate Statistics in Oil and Gas Industry

Freitas¹,

Freitas²,

Marins³

et al. 2013

Multivariate Analysis in Management, Engineering and the Sciences

View full text Add to dashboard Cite

“…Another example is the prediction of tablet hardness based on NIR spectra of powders with lubricants (Otsuka & Yamane, 2006. For further applications of vibrational spectroscopy and chemometric methods in pharmaceutical processes, the reader is referred to the reviews by Gendrin et al (2008), De Beer et al (2011 and Rajalahti & Kvalheim (2011).…”

Section: Molecular Vibrational Spectroscopy Techniques Such As Inframentioning

confidence: 99%

Chemometrics (PCA) in Pharmaceutics: Tablet Development, Manufacturing and Quality Assurance

Tho¹,

Bauer‐Brandl²

2012

Principal Component Analysis - Multidisciplinary Applications

View full text Add to dashboard Cite

Multivariate data analysis in pharmaceutics: A tutorial review

Cited by 509 publications

References 136 publications

Direct infussion Electrospray Mass Spectrometry as a new non-invasive tool for serum metabolomics in induced-stress subjects

Direct infussion Electrospray Mass Spectrometry as a new non-invasive tool for serum metabolomics in induced-stress subjects

Contributions of Multivariate Statistics in Oil and Gas Industry

Chemometrics (PCA) in Pharmaceutics: Tablet Development, Manufacturing and Quality Assurance

Contact Info

Product

Resources

About