Analytical methodology for clinical metabolic profiling: sample preparation, sample analysis and statistical evaluation

2014 ◽  
pp. 20-34
Author(s):  
Georgios Theodoridis ◽  
Helen G Gika ◽  
Ian D Wilson
Keyword(s):  
Sample Preparation ◽  
Metabolic Profiling ◽  
Statistical Evaluation ◽  
Sample Analysis ◽  
Analytical Methodology

From sample preparation to NMR‐based metabolic profiling in food commodities: The case of table olives

2021 ◽  
Author(s):  
Stavros Beteinakis ◽  
Anastasia Papachristodoulou ◽  
Emmanuel Mikros ◽  
Maria Halabalaki
Keyword(s):  
Sample Preparation ◽  
Metabolic Profiling ◽  
Table Olives ◽  
Food Commodities

Detection of trace arsenic in drinking water: challenges and opportunities for microfluidics

2015 ◽  
Vol 1 (4) ◽  
pp. 426-447 ◽  
Author(s):  
Nevetha Yogarajah ◽  
Scott S. H. Tsai
Keyword(s):  
Drinking Water ◽  
Sample Preparation ◽  
Signal Acquisition ◽  
Sample Analysis ◽  
Arsenic Detection ◽  
Challenges And Opportunities ◽  
Total Analytical System ◽  
Analytical System

Conception of a micro total analytical system (μTAS), capable of sample preparation, sample analysis, and signal acquisition, for portable trace arsenic detection.

An overview of fecal sample preparation for global metabolic profiling

2015 ◽  
Vol 113 ◽  
pp. 137-150 ◽  
Author(s):  
Olga Deda ◽  
Helen G. Gika ◽  
Ian D. Wilson ◽  
Georgios A. Theodoridis
Keyword(s):  
Sample Preparation ◽  
Fecal Sample ◽  
Metabolic Profiling

Chemometric Study and Optimization of Headspace Solid-Phase Microextraction Parameters for the Determination of Multiclass Pesticide Residues in Processed Cocoa from Nigeria Using Gas Chromatography/Mass Spectrometry

2014 ◽  
Vol 97 (4) ◽  
pp. 1007-1011 ◽  
Author(s):  
Lukman Bola Abdulra'uf ◽  
Guan Huat Tan
Keyword(s):  
Sample Preparation ◽  
Pesticide Residues ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Internal Standard ◽  
Calibration Method ◽  
Gas Chromatography Mass Spectrometry ◽  
Design Matrix ◽  
Analytical Methodology ◽  
Cocoa Powder

Abstract Solid-phase microextraction (SPME) is a solventless sample preparation method that combines sample preparation, isolation, concentration, and enrichment into one step. A simple and effective method coupling headspace-SPME to GC/MS was developed for the analysis of chlorpyrifos, fenitrothion, endosulfan I, and endosulfan II pesticide residues in cocoa powder. In this study, multivariate strategy was used to determine the significance of the factors affecting the SPME of the pesticides using a Plackett-Burman design, and the significant factors were optimized using central composite design. The analytes were extracted with 100 μm polydimethylsiloxane fibers according to the factorial design matrix and desorbed into a GC/MS instrument. The developed method was applied for the analysis of a cocoa powder sample, and it exhibited good figures of merit for the analytical methodology. Using the optimized conditions, the linearity ranged from 2.5 to 500 μg/kg (R2 > 0.99) using an internal standard calibration method, and the average recoveries were between 75 and 95%, with RSD values between 3.8 and 9.7%.

Analytical Methodology for Sample Preparation, Detection, Quantitation, and Confirmation of N-Nitrosamines in Foods

1981 ◽  
Vol 64 (5) ◽  
pp. 1037-1054
Author(s):  
Joseph H Hotchkiss
Keyword(s):  
Sample Preparation ◽  
Review Paper ◽  
Complex Mixtures ◽  
Nitroso Compounds ◽  
Preparation Time ◽  
Analytical Methodology ◽  
Chromatographic Techniques ◽  
The Past ◽  
Selective Detectors ◽  
Further Development

Abstract Significant advances have been made over the past decade in methodology for the analysis of foods and other samples for volatile N-nitrosamines. Procedures for the isolation, cleanup, and concentration of N-nitrosamines were developed and applied to a broad range of food types. Several chromatographic techniques and systems have also been developed which are capable of resolving AT-nitrosamines in complex mixtures in a single run, and the use of highly selective detectors has decreased sample preparation time while increasing sensitivity and precision. Unequivocal confirmation of N-nitrosamines in foods can now be achieved by mass spectrometry at low to sub-μg/kg levels. However, further development of methodology for nonvolatile N-nitroso compounds is needed. This review paper discusses these and other topics related to the analysis of foods for N-nitrosamines.

Analytical Methodology for Determining Glucosinolate Composition and Content

1983 ◽  
Vol 66 (4) ◽  
pp. 825-849 ◽  
Author(s):  
Douglas I Mcgregor ◽  
William J Mullin ◽  
Gruffydd R Fenwick
Keyword(s):  
Quality Control ◽  
Sample Preparation ◽  
Plant Material ◽  
Current Knowledge ◽  
Analytical Techniques ◽  
Rapid Screening ◽  
Agricultural Crops ◽  
Analytical Methodology ◽  
The Past ◽  
Factors Influencing

Abstract New analytical techniques and instrumentation and increased knowledge of the diversity and distribution of glucosinolates, the diversity of their enzymatically released products, and factors influencing their release, have led to significant advances in methodology for analysis of glucosinolates over the past three decades. However, many of the methods have been developed for specific agricultural crops or commodities and their particular glucosinolate compositions. They can only be applied to certain types of plant material or can detect and quantitate only certain glucosinolates or their products. Other methods have been designed to meet specific research, regulatory, or quality control requirements. This had necessitated sacrifice of either speed, simplicity, accuracy, precision, or the ability to distinguish different glucosinolates or their products. This review examines the methods available for sample preparation, identification, and quantitation of glucosinolates in light of current knowledge of their diversity, distribution, and chemistry. Consideration is given to the suitability of methods for rapid screening or precise, discriminating measurement, and to the standardization of methodology and reporting of results.

scholarly journals Enabling Automated Sample Delayering, Imaging, and Probing Prep with an Adaptive Endpointing Workflow

2021 ◽  
Author(s):  
Sean Morgan-Jones ◽  
Pete Carleson ◽  
Mark Najarian ◽  
Gavin Mitchson ◽  
Noel Franco ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Failure Analysis ◽  
Single Layer ◽  
Defect Inspection ◽  
Sample Analysis ◽  
Modern Logic ◽  
Design Validation ◽  
Processing Technologies ◽  
The Past ◽  
Dual Beam

Abstract The development of advanced logic processing technologies has hit a critical slowing period over the past 10 years. Long gone are the booming days of exponential growth seen in chip transistor density as described by Moore's Law back in 1965.[1] With modern logic manufacturers now capable of creating transistors in the 5-7 nm node range, having the ability to isolate, inspect, and probe individual metal and via layers is of utmost importance for defect inspection and design validation. In this realm of failure analysis, it is critical that design manufacturers possess the ability to isolate any given single layer of their logic samples. These isolated layers can be inspected for defects via SEM, provide validation of CAD designs, or tested with electrical probing for failure analysis. The work here-in describes a functional workflow that enables manufacturers to perform this kind of sample preparation in an automated fashion using the Thermo Scientific™ Helios™ G5 PFIB platform. This workflow can be utilized by both the Thermo Scientific Full Wafer and Small Dual Beam PFIB platforms to streamline sample analysis and failure testing in both the lab and fabrication environments.

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