scholarly journals Matrix effects of the hydroethanolic extract and the butanol fraction of calyces from Physalis peruviana L. on the biopharmaceutics classification of rutin

2020 ◽  
Vol 72 (5) ◽  
pp. 738-747
Author(s):  
Gina Paola Domínguez Moré ◽  
Clarissa Feltrin ◽  
Paula Freire Brambila ◽  
María Isabel Cardona ◽  
Sandra Milena Echeverry ◽  
...  
Keyword(s):  
Matrix Effects ◽  
Butanol Fraction ◽  
Physalis Peruviana ◽  
Hydroethanolic Extract ◽  
Biopharmaceutics Classification

scholarly journals Characterization and classification of matrix effects in biological samples analyses

2010 ◽  
Vol 1217 (25) ◽  
pp. 4071-4078 ◽  
Author(s):  
Ivano Marchi ◽  
Véronique Viette ◽  
Flavia Badoud ◽  
Marc Fathi ◽  
Martial Saugy ◽  
...  
Keyword(s):  
Biological Samples ◽  
Matrix Effects

Biopharmaceutics classification of puerarin and comparison of perfusion approaches in rats

2014 ◽  
Vol 466 (1-2) ◽  
pp. 133-138 ◽  
Author(s):  
Hewei Li ◽  
Ling Dong ◽  
Yang Liu ◽  
Guopeng Wang ◽  
Gang Wang ◽  
...  
Keyword(s):  
Biopharmaceutics Classification

scholarly journals Classification of Geological Samples Based on Soft Independent Modeling of Class Analogy Using Laser-Induced Breakdown Spectroscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Ying Zhang ◽  
Ying Li ◽  
Wendong Li ◽  
Zigang Sun ◽  
Yunfeng Bi
Keyword(s):  
Matrix Effects ◽  
Principal Component ◽  
Misclassification Rate ◽  
Laser Induced Breakdown Spectroscopy ◽  
Geological Samples ◽  
Classification Rate ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Similar Sample

Laser-induced breakdown spectroscopy with soft independent modeling of class analogy is used in the identification of a large number of unprocessed geological samples having similar components in this study. Considering a variety of data from different samples, representative spectral regions representing the major components were extracted. In addition, principal component analysis was applied to remove noninformative variables from the spectrum. The unclassification rate, misclassification rate, and average correct classification rate for 25 types of geological samples were 1.2%, 4.7%, and 94.1%, respectively. These results suggest that laser-induced breakdown spectroscopy using soft independent modeling of class analogy can be used to identify a wide variety of geological samples. Furthermore, we found that this approach can be used to identify spectral differences among similar sample types because of matrix effects and the trace element impurities.

Total alkali silica classification of rocks with LIBS: influences of the chemical and physical matrix effects

2020 ◽  
Vol 35 (8) ◽  
pp. 1641-1653 ◽  
Author(s):  
Weijie Xu ◽  
Chen Sun ◽  
Yongqi Tan ◽  
Liang Gao ◽  
Yuqing Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Multivariate Regression ◽  
Regression Models ◽  
Matrix Effects ◽  
Total Alkali ◽  
The Matrix

The matrix effects in LIBS analyses have been considered with univariate and machine learning based multivariate regression models for TAS classification of rocks.

scholarly journals Enhanced Metabolome Coverage and Evaluation of Matrix Effects by the Use of Experimental-Condition-Matched 13C-Labeled Biological Samples in Isotope-Assisted LC-HRMS Metabolomics

Metabolites ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 434
Author(s):  
Asja Ćeranić ◽  
Christoph Bueschl ◽  
Maria Doppler ◽  
Alexandra Parich ◽  
Kangkang Xu ◽  
...  
Keyword(s):  
Biological Samples ◽  
Matrix Effects ◽  
High Resolution Mass Spectrometry ◽  
Experimental Conditions ◽  
Additional Testing ◽  
Internal Standardization ◽  
And Control ◽  
Resolution Mass ◽  
Control Samples

Stable isotope-assisted approaches can improve untargeted liquid chromatography-high resolution mass spectrometry (LC-HRMS) metabolomics studies. Here, we demonstrate at the example of chemically stressed wheat that metabolome-wide internal standardization by globally 13C-labeled metabolite extract (GLMe-IS) of experimental-condition-matched biological samples can help to improve the detection of treatment-relevant metabolites and can aid in the post-acquisition assessment of putative matrix effects in samples obtained upon different treatments. For this, native extracts of toxin- and mock-treated (control) wheat ears were standardized by the addition of uniformly 13C-labeled wheat ear extracts that were cultivated under similar experimental conditions (toxin-treatment and control) and measured with LC-HRMS. The results show that 996 wheat-derived metabolites were detected with the non-condition-matched 13C-labeled metabolite extract, while another 68 were only covered by the experimental-condition-matched GLMe-IS. Additional testing is performed with the assumption that GLMe-IS enables compensation for matrix effects. Although on average no severe matrix differences between both experimental conditions were found, individual metabolites may be affected as is demonstrated by wrong decisions with respect to the classification of significantly altered metabolites. When GLMe-IS was applied to compensate for matrix effects, 272 metabolites showed significantly altered levels between treated and control samples, 42 of which would not have been classified as such without GLMe-IS.

scholarly journals Matrix Effects of the Hydroethanolic Extract of Calyces of Physalis peruviana L. on Rutin Pharmacokinetics in Wistar Rats Using Population Modeling

Pharmaceutics ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 535
Author(s):  
Gina Paola Domínguez Moré ◽  
María Isabel Cardona ◽  
Paula Michelle Sepúlveda ◽  
Sandra Milena Echeverry ◽  
Cláudia Maria Oliveira Simões ◽  
...  
Keyword(s):  
Oral Administration ◽  
Wistar Rats ◽  
Matrix Effects ◽  
Biological Activities ◽  
Compartmental Analysis ◽  
Fold Increase ◽  
Population Pharmacokinetic ◽  
Active Metabolites ◽  
Physalis Peruviana ◽  
Intravenous And Oral Administration

Rutin is the rutinose conjugate of quercetin. It presents several biological activities and is the major flavonoid in the hydroalcoholic extract of the calyces of Physalis peruviana L. It also shows hypoglycemic activity after oral administration. The aim of this work was to study the matrix effects of the extract from P. peruviana calyces on the pharmacokinetics of rutin and its metabolites in Wistar rats, using non-compartmental and population pharmacokinetic analyses. A pharmacokinetic study was performed after intravenous and oral administration of different doses of pure rutin and the extract. In the non-compartmental analysis, it was found that rutin from the extract exhibited higher distribution and clearance, as well as an 11-fold increase in the bioavailability of its active metabolites. A population pharmacokinetic model was also carried out with two compartments, double absorption and linear elimination, in which the extract and the doses were the covariates involved. This model correctly described the differences observed between rutin as a pure compound and rutin from the extract, including the dose dependency.

Quantitative mineralogy of chromite ore based on imaging Laser Induced Breakdown Spectroscopy and Spectral Angle Mapper Classification Algorithm

2020 ◽  
Author(s):  
Dieter Rammlmair ◽  
Jeannet Meima
Keyword(s):  
Matrix Effects ◽  
Classification Algorithm ◽  
Heterogeneous Distribution ◽  
Spectral Angle Mapper ◽  
Merensky Reef ◽  
Quantitative Mineralogy ◽  
Laser Induced Breakdown ◽  
Reference Measurements ◽  
Spectral Angle

<p>The chemical, mineralogical and textural investigation of drill cores demands objective and repeatable information unaffected by the human bias to be able to correlate significant features across drillcores. Imaging Laser induced Breakdown Spektroscopy (LIBS) can be applied to large scales at high spatial resolution in relatively short times to obtain detailed chemical, mineralogical and textural information with a minimum of sample preparation. The application of the Spectral Angle Mapper (SAM) algorithm for supervised classification of the LIBS hyperspectral data cubes provides a relatively fast, but easy to handle tool to visualize and quantify variations in the chemical, mineralogical composition of complex ores from the sub-millimetre to the metre scale. The information derived offers novel and barely investigated interpretation opportunities in a very detailed manner which directly can be used for exploration purposes. The investigated Merensky Reef is about 1 m thick. It consists of pegmatoidal pyroxenite framed by the lower and upper thin chromitite seams. The Merensky Reef is one major ore body out of three for platinum-group elements (PGE) within the Bushveld Igneous Complex which is the world’s largest known layered intrusion and largest PGE resource on Earth   Detailed LIBS-based imaging measurements with 200µm spotsize were accompanied by space-resolved reference measurements based on SEM/MLA (4µm) and µ-EDXRF (20µm), as well as bulk chemical analyses for multiple core slices. The SAM algorithm was applied for classification of hyperspectral LIBS images as being sensitive for differences in mineral chemistry. Focus was put on the pre-processing of LIBS spectra prior to SAM classification, on the development of the spectral library, and on the validation of the classified data. The SAM classification algorithm, which is solely based on ratios between spectral intensities, was found insensitive to normal shot-to-shot plasma variations and to chemically induced matrix effects. However, the algorithm may become inaccurate at low signal to noise ratios, at the border between different mineral grains (mixed spectra), or when classifying chemically similar phases such as pyrite and pyrrhotite. The extent of mixed spectra depends both on the size of the mineral grains as well as on the spot size of the LIBS laser. The SAM algorithm was successfully applied for classification of several base metal sulphides, rock-forming minerals, accessory minerals, as well as several mixed phases representing the main borders between different mineral grains. The obtained classified LIBS image images the spatial distribution of the different phases, which corresponds very well to the reference measurements based on highly space-resolved  EDXRF and SEM/MLA mineral distribution maps. The investigated core piece highlights the extremely heterogeneous distribution of e.g. the sulphide phases. The LIBS-SAM classification image was used to estimate metal concentrations based on point counting. The applicability has been explored for Cu, Ni, S, and Cr. This approach, when applied on sufficiently large surfaces, enables quantification of well-defined mineral phases, as well as the possible detection of trace elements (e.g. Pt, Pd) that occur in very small nuggets.</p>

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