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Method development sample properties consideration

Considerable attention should be paid to obtaining samples truly representative of the production process early in method development. Production processes generate mixtures that are far more complex and variable than may be generally realized therefore, a separation developed using an early production sample may prove to be inadequate for a later sample. Minor peaks observed in the chromatogram, whether known or unknown, serve as a record of the consistency of the process and can be used to monitor process changes. Sometimes a particular peak can be associated with a desirable or undesirable property of the product and used for controlled process optimization. [Pg.30]

The presence of the inactive ingredients is an important consideration when developing sample preparation methods. The product of the sample preparation steps must produce a solution with the following properties ... [Pg.76]

Another advantage is the immiscible nature of alkanes with water. This property allows the alkanes to be used as extraction solvents for aqueous solutions. If the sample can be extracted, concentrated, and injected, at least two sample preparation steps and potential major sources of sample loss—namely, either concentration to dryness and reconstitution of residue or concentration and solvent exchange—are eliminated. These considerations during method development are rarely considered and the opportunity is lost. [Pg.216]

Photoelectric-Colorimetric Method. Although the recording spectrophotometer is, for food work at least, a research tool, another instrument, the Hunter multipurpose reflectometer (4), is available and may prove to be applicable to industrial quality control. (The newer Hunter color and color difference meter which eliminates considerable calculation will probably be even more directly applicable. Another make of reflection meter has recently been made available commercially that uses filters similar to those developed by Hunter and can be used to obtain a similar type of data.) This instrument is not a spectrophotometer, for it does not primarily measure the variation of any property of samples with respect to wave length, but certain colorimetric indexes are calculated from separate readings with amber, blue, and green filters, designated A, B, and G, respectively. The most useful indexes in food color work obtainable with this type of instrument have been G, which gives a... [Pg.9]

Automatization of all stages of the analytical process is a trend that can be discerned in the development of modern analytical methods for chemical manufacture, to various extents depending on reliability and cost-benefit considerations. Among the elements of reliability one counts conformity of the accuracy and precision of the method to the specifications of the manufacturing process, stability of the analytical system and closeness to real-time analysis. The latter is a requirement for feedback into automatic process-control systems. Since the investment in equipment for automatic online analysis may be high, this is frequently replaced by monitoring a property that is easy and inexpensive to measure and correlating that property with the analyte of interest. Such compromise is usually accompanied by a collection of samples that are sent to the analytical laboratory for determination, possibly at a lower cost. [Pg.1044]

On the other hand, its should be emphasized that such basic analytical properties as precision, sensitivity and selectivity are influenced by the kinetic connotations of the sensor. Measurement repeatability and reproducibility depend largely on constancy of the hydrodynamic properties of the continuous system used and on whether or not the chemical and separation processes involved reach complete equilibrium (otherwise, measurements made under unstable conditions may result in substantial errors). Reaction rate measurements boost selectivity as they provide differential (incremental) rather than absolute values, so any interferences from the sample matrix are considerably reduced. Because flow-through sensors enable simultaneous concentration and detection, they can be used to develop kinetic methodologies based on the slope of the initial portion of the transient signal, thereby indirectly increasing the sensitivity without the need for the large sample volumes typically used by classical preconcentration methods. [Pg.76]

It is well known that the elements in framework of zeolite molecular sieves greatly influence the properties and behaviors of these materials [1-3], The introduction of heteroatoms into the framework has become one of most active fields in study of zeolites. The investigations were mostly focused on the methods to introduce heteroatoms into the framework (for examples, hydrothermal synthesis and post-synthesis), the mechanisms for incorporations, the effect of heteroatoms on the acid-base properties and the catalytic features of modified samples [1-10]. Relatively less attention was paid to the effect of treatment process on the porous properties of samples although the incorporation of heteroatoms, especially by the so-called post-synthesis, frequently changes the distribution of pore size. Recently, we incorporated Al, Ga and B atoms into zeolites (3 by the post-synthesis in an alkaline medium named alumination, galliation and boronation, respectively. It was found that different trivalent elements inserted into the [3 framework at quite different level. The heteroatoms with unsuitable atom size and poor stability in framework were less introduced, leading to that a considerable amount of framework silicon were dissolved under the action of base and the mesopores in zeolite crystal were developed. As a typical case, the boronation of zeolites (3 and the accompanied formation of mesopores are reported in the present paper. [Pg.391]


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See also in sourсe #XX -- [ Pg.361 , Pg.362 , Pg.363 , Pg.364 , Pg.365 , Pg.366 ]




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Method development

Method development considerations

Method development sampling

Property Considerations

Sample Considerations

Sample methods

Sample properties

Samples Development

Samples method development

Sampling considerations

Sampling methods

Sampling properties

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