Quantitative analysis of hormones in cosmetics by LC-MS/MS combined with an advanced calibration model

2015 ◽  
Vol 7 (16) ◽  
pp. 6804-6809 ◽  
Author(s):  
Cai-Xia Shi ◽  
Zeng-Ping Chen ◽  
Yao Chen ◽  
Ru-Qin Yu
Keyword(s):  
Quantitative Analysis ◽  
Calibration Model ◽  
Signal Stability ◽  
Accurate Quantitative Analysis ◽  
Advanced Model

Accurate quantitative analysis of hormones in cosmetics was achieved through the combination of an advanced model with LC-MS/MS, even when significant variations occur in the sensitivity and signal stability of LC-MS/MS.

Quantification of Silica Uptake by Alveolar Macrophages - An Emperical Scanning Electron Microprobe Method

1982 ◽  
Vol 40 ◽  
pp. 332-333
Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber
Keyword(s):  
Quantitative Analysis ◽  
Alveolar Macrophages ◽  
Bulk Sample ◽  
Silica Particles ◽  
Empirical Method ◽  
Phagocytic Cells ◽  
Calibration Standards ◽  
X Ray ◽  
Accurate Quantitative Analysis ◽  
Scanning Electron

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.

Biosensing Strategy for Simultaneous and Accurate Quantitative Analysis of Mycotoxins in Food Samples Using Unmodified Graphene Micromotors

2017 ◽  
Vol 89 (20) ◽  
pp. 10850-10857 ◽  
Author(s):  
Águeda Molinero-Fernández ◽  
María Moreno-Guzmán ◽  
Miguel Ángel López ◽  
Alberto Escarpa
Keyword(s):  
Quantitative Analysis ◽  
Food Samples ◽  
Accurate Quantitative Analysis

Present and Emerging Techniques for Materials Microanalysis

1986 ◽  
Vol 69 ◽  
Author(s):  
C. R. Helms
Keyword(s):  
Quantitative Analysis ◽  
Spatial Resolution ◽  
High Sensitivity ◽  
Characterization Methods ◽  
Good Spatial Resolution ◽  
Accurate Quantitative Analysis ◽  
Significant Extension ◽  
Minimal Damage ◽  
A New Technique ◽  
The Cost

AbstractAlthough classical materials characterization methods have existed for many years, modern microanalytical techniques had their start just over twenty years ago. In this paper, I will discuss some of the common techniques available today including AES, XPS, or ESCA, RBS, SIMS, and EDAX. A comparison of the key capabilities and limitations will be given including sensitivity, spatial resolution, quantitative analysis, nondestructive testing, chemical state determination, and analysis speed. It is clear that the reason each of these techniques still exists as commercial instrumentation is that each provides a unique set of capabilities, but also a unique set of limitations. To become viable in the materials analysis arena, a new technique must offer a significant extension of the capabilities already available but not at the cost of too severe a set of limitations. Examples would be the development of tools that offer both high sensitivity with accurate quantitative analysis, or good spatial resolution with high sensitivity, or minimal damage but good spatial resolution, etc. A number of papers in this volume will describe the details of these emerging technologies which provide advances in these areas; and I will attempt here to put a number of these new developments in perspective with regard to the more commonplace techniques available.

Motor unit anatomy and physiology

2017 ◽  
Author(s):  
Matthew Pitt
Keyword(s):  
Quantitative Analysis ◽  
Motor Unit ◽  
Interference Pattern ◽  
Theoretical Explanation ◽  
Motor Unit Potential ◽  
Amplitude Analysis ◽  
Anatomy And Physiology ◽  
Needle Electromyography ◽  
Accurate Quantitative Analysis ◽  
Recruitment Order

This chapter focuses on the signals recorded with needle electromyography (EMG) and the measurement of their specific parameters. These parameters include duration, amplitude, number of phases, and stability. The concept of the electrophysiologic biopsy and the explanation of unusual findings seen on EMG are introduced. In relation to the interference pattern, discussions of the firing rate, recruitment order, and interference pattern are given. Moving from the theoretical explanation of the findings, the problems of the accurate quantitative analysis of the motor unit potential are discussed and measures to improve quantification, particularly in children, are highlighted. The importance of filter settings, the storage of signals, and the different ways of collecting and analysing the potentials are all covered. This section finishes with discussion of the normative range for motor unit duration, and concludes with the automatic analysis of the interference pattern, including turns/amplitude analysis, number of short segments measurement, and envelope analysis.

LIBS quantitative analysis method for samples with changing temperature via functional data analysis

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Laser Induced Breakdown Spectroscopy ◽  
Calibration Model ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method

The quantitative analysis accuracy of laser-induced breakdown spectroscopy (LIBS) will decrease if the temperatures of testing samples are different from the temperature under which the calibration model is established. For...

BIO-PIXE AND BIO-SXRF

1996 ◽  
Vol 06 (01n02) ◽  
pp. 367-373
Author(s):  
HUIYING YAO ◽  
CHENGZHI JIN ◽  
JINGXIA ZHANG ◽  
BENJIE WU
Keyword(s):  
Quantitative Analysis ◽  
Synchrotron Radiation ◽  
Chemical State ◽  
Excitation Source ◽  
Powerful Method ◽  
State Information ◽  
X Ray ◽  
Detectable Limit ◽  
Accurate Quantitative Analysis ◽  
Biological Field

Application of PiXE On biology, medicine and environment has been successful in the last twenty years. However, with the development of science and technique, lower detectable limit, sub-ppm sensitivity, more accurate quantitative analysis and the element chemical state information were presented which can not be achieved by PIXE. The synchrotron radiation as an excitation source to induce X-ray emission (SXRF) is a very powerful method with all the above requirements. In this paper the advantages of SXRF were discussed and compared with PIXE. The article shows our work on biological field by PIXE and SXRF also.

Highly Accurate Quantitative Analysis Of Enantiomeric Mixtures from Spatially Frequency Encoded1H NMR Spectra

2018 ◽  
Vol 90 (3) ◽  
pp. 1595-1600 ◽  
Author(s):  
Bertrand Plainchont ◽  
Daisy Pitoux ◽  
Mathieu Cyrille ◽  
Nicolas Giraud
Keyword(s):  
Quantitative Analysis ◽  
Nmr Spectra ◽  
Accurate Quantitative Analysis

Novel and Nonroutine Benzodiazepines and Suvorexant by LC–MS-MS

2020 ◽  
Author(s):  
Luke Garcia ◽  
Nicholas B Tiscione ◽  
Dustin Tate Yeatman ◽  
Lauren Richards-Waugh
Keyword(s):  
Quantitative Analysis ◽  
Limit Of Detection ◽  
Sample Volume ◽  
Calibration Model ◽  
Tandem Mass ◽  
Palm Beach County ◽  
Chromatography Tandem Mass Spectrometry ◽  
Target Analytes ◽  
Limit Of Quantitation ◽  
Liquid Chromatography Tandem Mass

ABSTRACT Benzodiazepines are a commonly prescribed class of drugs that have the potential for abuse. The Palm Beach County Sheriff’s Office received drug seizure submissions that included novel and/or nonroutine benzodiazepines of increasing prevalence from 2017 to 2019. This prompted the development of a method of analysis for these compounds in biological specimens. The method tests for 16 novel and nonroutine benzodiazepines and suvorexant in whole blood by liquid chromatography–tandem mass spectrometry (LC–MS-MS). The target analytes included bromazepam, clobazam, clonazolam, clotiazepam, diclazepam, estazolam, etizolam, flualprazolam, flubromazepam, flubromazolam, loprazolam, lormetazepam, phenazepam, prazepam, suvorexant, tetrazepam and triazolam. The method uses 200 µL of sample, protein precipitation and an instrument run-time of 8 min. The limit of detection was either 1 or 5 ng/mL and the limit of quantitation was either 5 or 25 ng/mL depending on the analyte. The method was validated for quantitative analysis for 15 out of the 17 analytes. Flubromazepam and prazepam were validated for qualitative identification only. A quadratic calibration model (r2 > 0.990) with 1/x weighting was used for all analytes for quantitative analysis. The calibration range was either 5–100 or 25–500 ng/mL depending on the analyte. The coefficient of variation of replicate analyses was within 14% and bias was within ±14%. The method provides a sensitive, efficient and robust procedure for the quantitation and/or qualitative identification of select novel and nonroutine benzodiazepines and suvorexant using LC–MS-MS and a sample volume of 200 µL.

Application of Data Visualization and Numerical Analysis for Evaluating Propagation of Uncertainty

2011 ◽  
Vol 103 ◽  
pp. 343-347
Author(s):  
Xin Bian ◽  
Xin Zhou ◽  
Hong Fang ◽  
Ke Liu ◽  
Xiao Chuan Gan ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Numerical Analysis ◽  
Data Visualization ◽  
Appropriate Use ◽  
Propagation Of Uncertainty ◽  
Use Of Data ◽  
Accurate Quantitative Analysis ◽  
Key Factor ◽  
Linear And Nonlinear ◽  
Using Data

Propagation of uncertainty is a key factor in uncertainty evaluation. We propose a method using data visualization and numerical analysis for evaluating propagation of uncertainty. In this paper, the main stages of the method are described. Then, the implementation of the method in linear and nonlinear model is illustrated through some examples. These examples show appropriate use of data visualization and numerical analysis can be helpful to provide a concise qualitative overview and accurate quantitative analysis for the uncertainty.

Sign in / Sign up

Export Citation Format

Share Document