Results 31 to 40 of about 25,590 (247)
Herein, this work aimed to develop and assess feasibility of multivariate model of partial least square analysis for specific quantification of pitavastatin (PVT)-loaded self-nano emulsion (SNE) formulation using UV Vis spectrophotometry. PVT loaded into
Kuncahyo I +4 more
doaj +1 more source
Near-infrared (NIR) spectroscopy and characteristic variables selection methods were used to develop a quick method for the determination of cellulose, hemicellulose, and lignin contents in Sargassum horneri.
Ning Ai +5 more
doaj +1 more source
Re‐interpretation of NIPALS results solves PLSR inconsistency problem [PDF]
AbstractThe well‐known nonlinear iterative partial least squares (NIPALS) algorithm is commonly used for computation of components in partial least squares regression (PLSR) with orthogonalized score vectors. Based on generalized inverse formalism, Pell et al.[1] have recently claimed that the NIPALS results are inconsistent with respect to model ...
openaire +2 more sources
In this study, the aroma volatile compounds of commercial Chinese traditional fermented fish (Suan yu) from western Hunan were investigated. A total of 59 volatile compounds were identified and quantified by GC-MS combined with headspace solid-phase ...
Pei Gao +5 more
doaj +1 more source
Soil salinization is an ecological challenge across the world. Particularly in arid and semi-arid regions where evaporation is rapid and rainfall is scarce, both primary soil salinization and secondary salinization due to human activity pose serious ...
Anhong Tian +5 more
doaj +1 more source
Quantitative Assessment of Cold Injury in Tea Plants by Terahertz Spectroscopy Method
Cold injury (CI) causes irreversible damage to tea plants, which results in decline in the quality of famous teas and huge economic loss. A new, quick, non-destructive method is provided to assess the CI of tea leaf based on terahertz (THz) spectroscopy.
Yongzong Lu +3 more
doaj +1 more source
Reduced PCR/PLSR models by subspace projections [PDF]
Abstract Latent variables models used in principal component regression (PCR) or partial least squares regression (PLSR) often use a high number of components, and this makes interpretation of score and loading plots difficult. These plots are essential parts of multivariate modeling, and there is therefore a need for a reduction of the number of ...
openaire +2 more sources
Prediction of naturally-occurring, industrially-induced and total trans fatty acids in butter, dairy spreads and Cheddar cheese using vibrational spectroscopy and multivariate data analysis [PDF]
peer-reviewedThis study investigated the use of vibrational spectroscopy [near infrared (NIR), Fourier-transform mid-infrared (FT-MIR), Raman] and multivariate data analysis for (1) quantifying total trans fatty acids (TT), and (2) separately predicting ...
Beattie, Renwick J. +4 more
core +1 more source
Amyloid beta and diabetic pathology cooperatively stimulate cytokine expression in an Alzheimer's mouse model [PDF]
Background Diabetes is a risk factor for developing Alzheimer's disease (AD); however, the mechanism by which diabetes can promote AD pathology remains unknown.
Fernández Ponce, Cecilia Matilde +7 more
core +3 more sources
Quantitative analysis of index factors in agricultural compost by infrared spectroscopy
Hyperspectral technology, with its high spectrum resolution and nanometer continuous spectral information acquisition ability, provide a possibility for rapidly and nondestructive evaluating compost maturity. In this study, the near-infrared spectroscopy
Guangrong Shen +6 more
doaj +1 more source

