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The Sample

In many cases, polymers are insoluble at normal temperatures but may be soluble at elevated temperatures. Commercial spectrometers are normally capable of operation up to temperatures of 150 or 200°C. In extreme cases of insolubility, such as for some fluoropolymers [25], the spectrometer may be [Pg.17]


The atomic weight of a particular sample depends on the origin of the sample. [Pg.46]

Gouy balance A balance for the determination of magnetic susceptibility. The sample is weighed in and out of a magnetic field and the susceptibility is calculated from the difference in weights. [Pg.195]

X-ray fluorescence A method of analysis used to identify and measure heavy elements in the presence of each other in any matrix. The sample is irradiated with a beam of primary X-rays of greater energy than the characteristic X-radiation of the elements in the sample. This results in the excitation of the heavy elements present and the emission of characteristic X-ray energies, which can be separated into individual wavelengths and measured. The technique is not suitable for use with elements of lower atomic number than calcium. [Pg.429]

One distinguishes preparatory distillations that are designed to separate the fractions for subsequent analysis from non-preparatory analytical distillations that are performed to characterize the feed itself. For example, the distillation curve that gives the recovered volume or weight as a function of the distillation temperature characterizes the volatility of the sample. [Pg.17]

The sample can vary from 0.5 to 30 liters enabling the following ... [Pg.18]

The sample is distilled at predetermined and precisely controlled temperatures under conditions that give a fractionation equivalent to about one theoretical plate. [Pg.19]

The column is swept continuously by a carrier gas such as helium, hydrogen, nitrogen or argon. The sample is injected into the head of the column where it is vaporized and picked up by the carrier gas. In packed columns, the injected volume is on the order of a microliter, whereas in a capillary column a flow divider (split) is installed at the head of the column and only a tiny fraction of the volume injected, about one per cent, is carried into the column. The different components migrate through the length of the column by a continuous succession of equilibria between the stationary and mobile phases. The components are held up by their attraction for the stationary phase and their vaporization temperatures. [Pg.20]

A correlation between retention times and boiling points is established by calibration with a known mixture of hydrocarbons, usually normal paraffins, whose boiling points are known (see Figure 2.2). From this information, the distribution of boiling points of the sample mixture is obtained. [Pg.21]

Finally, other methods are used to obtain simulated distillation by gas phase chromatography for atmospheric or vacuum residues. For these cases, some of the sample components can not elute and an internal standard is added to the sample in order to obtain this quantity with precision. [Pg.23]

The complexity of petroleum products raises the question of sample validity is the sample representative of the total flow The problem becomes that much more difficult when dealing with samples of heavy materials or samples coming from separations. The diverse chemical families in a petroleum cut can have very different physical characteristics and the homogeneous nature of the cut is often due to the delicate equilibrium between its components. The equilibrium can be upset by extraction or by addition of certain materials as in the case of the precipitation of asphaltenes by light paraffins. [Pg.28]

Before withdrawing a sample it is necessary to agitate it, even if it is a gas, and eventually heat the sample being careful to stay below temperatures which could cause evaporation of the lighter components. [Pg.28]

The sample is burned in oxygen at 1000°C. Nitrogen oxide, NO, is formed and transformed into NO2 by ozone, the NO2 thus formed being in an excited state NO. The return to the normal state of the molecule is accompanied by the emission of photons which are detected by photometry. This type of apparatus is very common today and is capable of reaching detectable limits of about 0.5 ppm. [Pg.29]

The sample is reduced in a hydrogen stream at 800°C in the presence of a nickel catalyst. The ammonia formed is detected by coulometry and the test sensitivity is on the order of one part per million. [Pg.30]

For trace quantities of less than 100 ppm, the most successful method — and the most costly— is neutron activation. The sample is subjected to neutron bombardment in an accelerator where oxygen 16 is converted to unstable nitrogen 16 having a half-life of seven seconds. This is accompanied by emission of (J and 7 rays which are detected and measured. Oxygen concentrations as low as 10 ppm can be detected. At such levels, the problem is to find an acceptable blank sample. [Pg.30]

All these methods begin with combustion of the sample resulting in the sulfur being oxidized to SO2 and SO3. Table 2.3 summarizes the different analytical methods with references to the corresponding standards. [Pg.31]

These are called high temperature induction furnace methods which differ only as to the kind of furnace used and employ the same ASTM procedure. The sample is heated to over 1300°C in an oxygen stream and transformed to SO2 which is analyzed with an infra-red detector. [Pg.32]

Bomb Method the sample is burned in a bomb under oxygen pressures of 30 bar. The sulfur contained in the wash water is analyzed via gravimetry as barium sulfate. [Pg.32]

Lamp Method the sample is burned in a closed system in an atmosphere of 70% CO2 and 30% oxygen in order to avoid formation of nitrogen oxides. This method was to have been abandoned as it takes three hours to carry out, but remains officially required for jet fuel sulfur analysis. [Pg.32]

Quartz Tube Method the sample is burned in a quartz tube and a stream of purified air carries the combustion gases into a hydrogen peroxide solution. [Pg.32]

The sample is pyrolyzed in an 80/20 mixture of oxygen and nitrogen at from 1050 to 1100°C the combustion gases are analyzed by iodine titration or by UV fluorescence. Up to 20% of the sulfur can escape analysis, however. [Pg.32]

Another method which should be cited apart from the others is to pyrolyze the sample in a hydrogen atmosphere. The sulfur is converted to H2S which darkens lead-acetate-impregnated paper. The speed of darkening, measured by an optical device, provides the concentration measurement. This method attains sensitivity thresholds of 0.02 ppm. [Pg.32]

This method can attain, depending on the sample, concentrations on the order of 10 ppm wt. with an error on the order of 20%. [Pg.33]

The sample to be analyzed can be dissolved in an organic solvent, xylene or methylisobutyl ketone. Generally, for reasons of reproducibility and because of matrix effects (the surroundings affect the droplet size and therefore the effectiveness of the nebulization process), it is preferable to mineralize the sample in H2SO4, evaporate it and conduct the test in an aqueous environment. [Pg.34]

The detectable limits are given for samples such as they are introduced into the apparatus they should be previously diluted in order to be nebulized. It thereby is useful to apply a dilution coefficient, usually at least 10. The dilution depends on the sample viscosity. [Pg.36]

The sample should be liquid or in solution. It is pumped and nebulized in an argon atmosphere, then sent through a plasma torch that is, in an environment where the material is strongly ionized resulting from the electromagnetic radiation produced by an induction coil. Refer to the schematic diagram in Figure 2.8. [Pg.37]

To extend the applicability of the characterization factor to the complex mixtures of hydrocarbons found in petroleum fractions, it was necessary to introduce the concept of a mean average boiling point temperature to a petroleum cut. This is calculated from the distillation curves, either ASTM or TBP. The volume average boiling point (VABP) is derived from the cut point temperatures for 10, 20, 50, 80 or 90% for the sample in question. In the above formula, VABP replaces the boiling point for the pure component. [Pg.42]

Where is the temperature at which i% of the sample has been distilled. [Pg.42]

As a consequence, other than its use in the ndM method, the refractive index is very often used in process operations because it can indicate smaii differences in product quality that would be missed by other measurements. The only restriction is that the color of the sample should be less than 5 on the ASTM D 1500 scale. [Pg.44]

Although gas chromatography can give the concentration of each component in a petroleum gas or gasoline sample, the same cannot be said for heavier cuts and one has to be satisfied with analyses by chemical family, by carbon atom distribution, or by representing the sample as a whole by an average molecule. [Pg.44]

If the sample is placed in the path of the infrared beam, usually between the source and the monochromator, it will absorb a part of the photon energy having the same frequency as the vibrations of the sample molecule s atoms. The comparison of the source s emission spectrum with that obtained by transmission through the sample is the sample s transmittance spectrum. [Pg.57]

The sample is placed in a cqnst a nt magnetic field, Bq, and the variation in frequency throughout the t/omain Tieing expfored excites one by one the different resonances. The scan lasts a few minutes. Inversely, one can maintain a constant frequency and cause the magnetic field to vary. [Pg.64]

The sample is again subjected to a constant magnetic field but all the nuclei are excited by a very short radio frequency pulse. The frequency e (e.g., 400 MHz for a proton at 9.4 tesla) is applied over a period of several... [Pg.64]


See other pages where The Sample is mentioned: [Pg.44]    [Pg.44]    [Pg.62]    [Pg.97]    [Pg.146]    [Pg.282]    [Pg.288]    [Pg.310]    [Pg.393]    [Pg.393]    [Pg.28]    [Pg.29]    [Pg.32]    [Pg.33]    [Pg.53]    [Pg.54]    [Pg.57]    [Pg.59]    [Pg.64]   


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Absorption of moisture by the sample

Adding the sample

Ageing time (days) to reach the same degradation level versus sample thickness (mm)

Air Dissolved in the Sample

Analysis of Polymer Samples in which all Chains Possess the Same Backbone

Analysis of the sample

Appearance of the samples

Are two samples polymorphs of the same compound

Boyle s law The volume of a given sample

C column the right choice for my sample

Calorimeters with Heat Exchange between the Sample and Surroundings

Case of the Calorimeter with a Cylindrical Sample

Charles s law The volume of a given sample

Choosing the Sample to be Analysed

Choosing the Variables Needed for Sample-Size Estimation

Classification of the samples

Comparison of Sampling Procedures in the Field

Compressing the Samples

Conditioning the Samples

Confidence limits of the mean for large samples

Confidence limits of the mean for small samples

Conformational Sampling and the Global Minimum Problem

Controlling the Sample Environment

Cooling the Samples

Counting of the Sample

Deepwater Sampler for Trace Elements (Allowing Air to Mix with the Sample)

Description and characterization of the samples

Determining the Sample Size

Dilute and Shoot or Pre-treat the Sample

Dissociation of the sample into atoms or ions

Dissolution of the sample

Dissolving the Sample

Effect of the sampling matrix

Effects of separating sample from the living system

Environmental Sampling and Analysis to Verify the Completeness of State Declarations

Equation of a Conic in the Sample Surface Plane (Coordinate System CS)

Establishing the 13C Isotope Content in Natural Samples

Estimation of New Points in the Sampling Area-Kriging

Excitation of the Sample

Experiment 31 The Analysis of Soil Samples for Iron Using Atomic Absorption

Experiment 46 The Quantitative Determination of Methyl Paraben in a Prepared Sample by HPLC

Experimental Investigation of the Properties Absent in Bulk Samples

Final shaping of the sample

Finite-Sample Properties of the Least Squares Estimator

Flattening the Energy Distribution Multicanonical Sampling and Related Methods

Flow through the sampling orifice

Fraction of the sample

Frequentist Criteria for Evaluating Estimators, the Sampling Distribution

General considerations - sample preparation if the latex is film forming

Getting the Sample Ready

Gradual Chemical Changes Mapping the Chemistry of a Sample

Grinding the Sample

Heating the Sample

How to analyse a sample using the method of standard additions in FAAS

Increase the sampling time

Influence of the injected sample volume

Interaction of Radiation with the Flowing Sample

Irradiation of the Sample

Kelly Knudson preparing samples in the Laboratory for Archaeological Chemistry

Loading sample strontium solution on a filament for measurement in the thermal ionization mass spectrometer (TIMS)

Locating the Global Minimum and Conformational Sampling

Mechanical processing of the chemically treated samples

Methods for Calculating the Entropy from MC and MD Samples

Monte Carlo Sampling of the Single-Chain Partition Function and Self-Consistent Brownian Dynamics

Monte Carlo sampling from the posterior

Mossbauer Analyses of the As-Mined Samples

Nature of the sample for glow-discharge sampling

Nature of the samples

Nebulization of the Sample

Number of samples in the calibration set

Nutrients in the Sample

Orientation of the Samples

PROPERTIES OF THE FSF MODEL WITH FAST SAMPLING

Patuxent Formation Description of Diabase and Basalt Samples from the Neptune Range

Performing a One-Sample Test of the Mean

Performing a Two-Sample Test of the Means

Performing an N-Sample Test of the Means

Permethylated Sample, and Analysis of the Partially Methylated Sugars

Permethylation of the Sample

Physical State of the Sample

Physicochemical properties of the sample

Plastics in the French media a small sample

Positioning and orienting the sample

Positioning of the Samples

Preparation and Characterization of the Samples

Preparation and handling of the samples

Preparation of the Mechano-Activated Silica Samples (MSi)

Preparation of the Reactive Silica (RSi) Samples

Preparation of the Sample for Irradiation

Preparation of the Soil Sample Ready for Ecotoxicity Testing

Preparation of the Thermo-Activated Silica (TSi) Samples

Preparation of the sample

Preparing the Sample

Preprocessing the samples

Processes Occurring in the Plasma after Introduction of a Sample

Properties of the sample

Purification of the Sample

Purpose of Sampling and the Chemometric Methods Applicable

Quantitative evaluation of Elbe river derived organic marker compounds in sediment samples from the German Bight

Reactions of the sample

Reference Materials Currently Available for the Analysis of Sediment and Particulate Samples

Relationship between the dispersion coefficient and injected sample volume

Reporting the sample size calculation

Rough preparation of the analytical sample

Sample Clean-Up Ways to Overcome the Bottleneck in Proteome Analysis

Sample Excitation and the Rotating Frame of Reference

Sample Handling in the Infrared

Sample Introduction to the ESI Chip

Sample Length Variable During the Test, Constant Stress

Sample Location in the Sorbent Layer

Sample Preparation for the Matrix Urine

Sample Properties of the Least Squares and Instrumental Variables Estimators

Sample introduction and the injection chamber

Sample-up-the-ramp

Samples for the Interlaboratory Study

Sampling distribution of the

Sampling for chemical analysis of the

Sampling from populations - the SEM

Sampling from the Fitting Posterior Distributions

Sampling from the slat conveyor of a continuous process plant

Sampling in the laboratory

Sampling the FID

Sampling the Human Placenta

Sampling the Transition Path Ensemble

Sampling the chemical potential in NVT simulations

Sampling the environment

Sampling with the ATR Technique

Scattering due to the sample as a whole

Sediment Samples Used in the Interlaboratory Studies

Select the Sample

Selecting the Sampling Point

Separating the sample

Seven Steps of the Samples Life

Seven Steps of the Sampling Process

Size and Shape of the Sample

Solvent for the sample

Sources for the collection of groundwater samples

Strength of the Sample

Structure and Properties of the Crystallized Samples

THE FREQUENCY SAMPLING FILTER MODEL

Temperature Control of the Sample

Testing Sample of Variable mass Using the Ballistic Pendulum (T)

The Analytical Sample

The Collection of Drainage Samples for Environmental Analyses from Active Stream Channels

The Control of Sample Size for Normal Preparative Column Operation

The Effect of Sample Volume

The Enzyme Sample

The Extraction of Liquid Samples

The Extraction of Solid Samples

The Flowing Sample

The Formation of Ions from Sample through Gas Phase Chemical Reactions

The Fourier transform infrared (FT-IR) spectrometer and sample preparation

The Importance of Sampling for Analyzing Chemistry

The Maximum Sample Volume

The Metropolis Sampling Scheme

The NMR Sample

The Need for Refined Monte Carlo Sampling

The Netherlands samples

The Sample Cell

The Sample Compartment

The Sample Holder

The Sample Measurement

The Sample Solution

The Sample Tubes

The Sample Valve

The Sample Vial

The Sampling Plan

The Sampling Plan, Sample Collection and Preparation

The Theory of Chemical Sampling

The Voltage Over a Sample

The basis of sampling

The calibration sampling paradox of process analytical chemistry

The need for sample pretreatment

The principle of correct sampling

The sample molecules

The sample volume problem

The sampling interface

The sampling of single-phase systems

The sampling procedure

The soil sample

The stability of sampled data systems

The two-sample t-test

Titration of the sample

True Nanoferroics with the Properties Absent in Corresponding Bulk Samples

Ultrasound-assisted dissolution of the solid phase in heterogeneous samples

Umbrella Sampling and the Potential of Mean Force

Using the Sampling Tool

Variable Sample Mass Test with the MKIII Ballistic Mortar

Variation of the sample profile along its travel convective and diffusive phenomena

Verification of the Method on Thick Rubber Samples

Volume of the sample

What factors control the extent of random sampling error

Where to Sample the Target Population

With halting of the flow between samples kinetic titrations

Without halting of the flow between samples

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