Interference and matrix effect

2016 ◽  
pp. 48-56
Author(s):  
Judy Y Shih
Keyword(s):  
Matrix Effect

Rapid evaluation method for propofol abusing with hair by using centrifugal filter and liquid chromatography-tandem mass spectrometry

2020 ◽  
Vol 16 ◽  
Author(s):  
Jaesung Pyo
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Tandem Mass Spectrometry ◽  
Matrix Effect ◽  
Hair Sample ◽  
Extraction Procedure ◽  
The Body ◽  
Tandem Mass ◽  
Centrifugal Filter ◽  
Hair Samples

Background: Since propofol is rapidly metabolized and excreted from the body, it is not easy to quantify its intake in blood or urine sample over the time. In this case, the hair sample would be more advantageous to estimate during the abuse period. However, presence of protein and lipid in the hair sample could interfere extraction and be problematic during mass spectrometric analysis. Objective: The aim of this study is to develop the simple and less-time consuming method for extraction of propofol glucuronide by removing hair interferences with centrifugal filter. Method: Hair samples were washed and dissolved with sodiumhydroxide solution. This dissolved hair solution was applied to centrifugal filter and centrifuged. The filtrate was extracted with ethyl acetate and evaporated to dryness. The residue was reconstituted with methanol and analyzed by liquid chromatography coupled with tandem mass spectrometry. This developed analytical method was validated by testing of linearity, selectivity, accuracy, precision, recovery, matrix effect and stability of propofol glucuronide. Results and Discussion: The validation results showed good linearity over the concentration range of 0.5~500 pg/mg, with correlation coefficient of 0.9991. The LOD and LLOQ was 0.2 and 0.5 pg/mg, respectively. The intra-and inter-day precision and accuracy were acceptable within 14.5% for precision and 10.1% for accuracy. Similarly, the developed method revealed high sample recovery (>88%), low hair matrix effect (<10%) and highly-efficient extraction procedure. Conclusion: This well validated procedure was successfully applied to determine propofol glucuronide in rat hair sample and can be applicable, with high potential, in the field of forensic toxicology especially with increasing abuse and accidental overdose of propofol.

A Modified QuEChERS Extraction and LC-MS/MS Method for the Determination of Pesticide Residues in Curry Leaves (Murraya koenigii)

2019 ◽  
Vol 6 (1) ◽  
pp. 30-41
Author(s):  
Ranjith Arimboor ◽  
Karunkara Ramakrishna Menon ◽  
Natarajan Ramesh Babu ◽  
Haneesh Chandran
Keyword(s):  
Sample Preparation ◽  
Matrix Effect ◽  
Retention Time ◽  
Pesticide Residues ◽  
Mobile Phase ◽  
Preparation Technique ◽  
Modified Quechers ◽  
Curry Leaves ◽  
Ms Analysis ◽  
The Matrix

Background:Increased consumer demand for curry leaves free from pesticides demands fast and reliable analytical methods for the analysis of pesticide residues.Objective:The optimization of a QuEChERS based sample preparation technique with improved analytical accuracy by removing interfering matrix components for LC-MS/MS analysis of pesticide residues from curry leaves.Methods:A modified QuEChERS solid phase extraction method was developed and validated for the analysis of 26 pesticides in fresh and dried curry leaves. The effects of the sample preparation steps and column retention time on the matrix suppression of analyte ions were also evaluated.Results:Validation parameters were found within an acceptable range. The matrix effect evaluation studies showed that the QuEChERS sample preparation was able to minimize the ion suppression of analytes due to co-eluting matrix of components and that a d-SPE clean up step had major role in reducing matrix effect. The gradient mobile phase with longer retention time for analytes resulted in comparatively lesser matrix effects than the isocratic mobile phase of non-polar nature. Even after the clean up, a considerable number of compounds had more than 20% reduction in their MS response in the gradient mobile phase.Conclusion:This study emphasized the need of proper sample clean up before a LC-MS/MS analysis and the usage of matrix matched standards and mobile phase that ultimately results in an appropriate analyte separation in reasonable retention times.

On the matrix-effect in the excitation of the atomic emission spectra of magnesites

1965 ◽  
Vol 30 (4) ◽  
pp. 1303-1310 ◽  
Author(s):  
M. Matherny ◽  
N. Pliešovská ◽  
Ž. Rybárová
Keyword(s):  
Matrix Effect ◽  
Emission Spectra ◽  
Atomic Emission ◽  
The Matrix

scholarly journals Quantitative Detection of Chromium Pollution in Biochar Based on Matrix Effect Classification Regression Model

Molecules ◽  
2021 ◽  
Vol 26 (7) ◽  
pp. 2069
Author(s):  
Mei Guo ◽  
Rongguang Zhu ◽  
Lixin Zhang ◽  
Ruoyu Zhang ◽  
Guangqun Huang ◽  
...  
Keyword(s):  
Regression Model ◽  
Matrix Effect ◽  
Nearest Neighbor ◽  
Quantitative Detection ◽  
Least Squares Regression ◽  
K Nearest Neighbor ◽  
Breakdown Spectroscopy ◽  
Relative Standard ◽  
Calibration Samples ◽  
Standard Deviations

Returning biochar to farmland has become one of the nationally promoted technologies for soil remediation and improvement in China. Rapid detection of heavy metals in biochar derived from varied materials can provide a guarantee for contaminated soil, avoiding secondary pollution. This work aims first to apply laser-induced breakdown spectroscopy (LIBS) for the quantitative detection of Cr in biochar. Learning from the principles of traditional matrix effect correction methods, calibration samples were divided into 1–3 classifications by an unsupervised hierarchical clustering method based on the main elemental LIBS data in biochar. The prediction samples were then divided into diverse classifications of calibration samples by a supervised K-nearest neighbor (KNN) algorithm. By comparing the effects of multiple partial least squares regression (PLSR) models, the results show that larger numbered classifications have a lower averaged relative standard deviations of cross-validation (ARSDCV) value, signifying a better calibration performance. Therefore, the 3 classification regression model was employed in this study, which had a better prediction performance with a lower averaged relative standard deviations of prediction (ARSDP) value of 8.13%, in comparison with our previous research and related literature results. The LIBS technology combined with matrix effect classification regression model can weaken the influence of the complex matrix effect of biochar and achieve accurate quantification of contaminated metal Cr in biochar.

Evaluation of the matrix effect in the quantitative bio-oil analysis by gas chromatography

Fuel ◽  
2021 ◽  
Vol 290 ◽  
pp. 119866
Author(s):  
Eliane Lazzari ◽  
Érica A. Souza Silva ◽  
Thiago R. Bjerk ◽  
Jaderson K. Schneider ◽  
Elina Bastos Caramão
Keyword(s):  
Gas Chromatography ◽  
Matrix Effect ◽  
Oil Analysis ◽  
Bio Oil ◽  
The Matrix

scholarly journals False Rifampicin Resistance in Xpert Ultra Applied to Lymph Node Aspirate: A Case Report

2020 ◽  
Vol 7 (6) ◽  
Author(s):  
Kamela C S Ng ◽  
Leen Rigouts ◽  
Bouke C de Jong ◽  
Lutgarde Lynen
Keyword(s):  
Case Report ◽  
Lymph Node ◽  
Male Patient ◽  
Deep Sequencing ◽  
Matrix Effect ◽  
Rifampicin Resistance ◽  
Reaction Tube ◽  
Targeted Deep Sequencing

Abstract A 36-year-old male patient was diagnosed with tuberculosis in Antwerp, Belgium, in May 2018. His lymph node aspirate initially tested rifampicin resistant in Xpert MTB/RIF Ultra, but tested susceptible in all other tests including targeted deep sequencing due to a rare matrix effect in the Xpert MTB/RIF Ultra reaction tube.

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