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Optimization of Experimental Conditions

Finally, the expressions for the MSEFS at k interface are as follows. For s-polar-ized radiation  [Pg.325]

For p-polarized radiation there are two relationships - for each component of the electric field vector oriented along the x and z coordinate axes  [Pg.325]

Combined, they yield the total MSEFS for p-polarized light  [Pg.325]

Although the above relationships are not very transparent, they are readily handled by a computer. They allow one to calculate the MSEFS using measurable quantities such as the wavelength and the angle of incidence of incoming radiation, thicknesses, and optical constants of the materials that constitute strata in a multilayer system. These equations offer a tremendous help when the optimization of experimental conditions is undertaken. This point will be illustrated by the material presented in the next section. [Pg.325]

The absorbance of an adsorbed film is proportional to the MSEFS at the electrode surface [Eq. (3)] [23]. Therefore, calculation of the MSEFS helps one to determine experimental conditions that ensure the best S/N for the IR spectra of adsorbed species. The first calculations of MSEFS were carried out by Greenler [Pg.325]


The following set of experiments provides practical examples of the optimization of experimental conditions. Examples include simplex optimization, factorial designs used to develop empirical models of response surfaces, and the fitting of experimental data to theoretical models of the response surface. [Pg.699]

As a part of a further investigation of the impact of 1,1-ADEQUATE data on CASE programs, Cheatham and co-workers46 employed retrorsine (22) and delcosine (23) as model compounds. HMBC and 1,1-ADEQUATE data were acquired for 22 and a suite of HMBC, H2BC, and 1,1-ADEQUATE spectra were acquired for 23. Usefully, the authors also reported details of their efforts to optimize the acquisition of the 1,1-ADEQUATE data used as input for the CASE investigation. Strychnine (1) was used by the authors to explore the optimization of experimental conditions. Using a 600-MHz instrument equipped with a 5-mm cryoprobe, the authors compared s/n for various 1,1-ADEQUATE correlations of strychnine using 10 mg samples in 5 mm tubes, and both 5 and 2.5 mg samples in 3 mm tubes. Acquisition times of 15 h were used for these measurements. [Pg.245]

Features of CL detection in HPLC, CL reactions used, construction of devices, optimization of experimental conditions, and recent applications are discussed in Chapter 14. [Pg.30]

The optimization of any chromatography modality is the most important aspect in separation science. First of all the selection of the chip-based columns is important followed by its coating materials. Few materials have been used, including reversed phase silicas and glasses but the best separation was achieved on former adsorbent. The composition of the mobile phase, its pH, temperature, amount injected, and detection are the most important factors in getting the best separations. There is no need for special attention in optimization of experimental conditions in nano-HPLC but the methods are similar to those adopted in conventional HPLC. Interested readers should consult our earlier books on this issue [52-54],... [Pg.161]

The rationalizations just discussed can be used in extrapolation. Study of this book should be of considerable assistance in the optimization of experimental conditions, whether it be to improve overall yields, or to maximize the yield of one particular orientation or substitution. [Pg.3]

Optimization of experimental conditions such as dilution ratios, stage cut, feed pressure, etc. in achieving the above objectives... [Pg.1113]

This technique is still evolving. The favored approach at present is to submerge a small, known amount of suspension inside a secured Durapore (polyvinylidene fluoride) membrane pouch (Millipore Products, Bedford, MA) of suitable porosity in teabag fashion in a suitable dissolution medium using the USP Method 1 Paddle Apparatus. Optimization of experimental conditions (rate of agitation, volume and type of medium, temperature, etc.) must be established to achieve reproducible results. [Pg.3609]

The maximization of the parameter Pr is equivalent to the minimization of the cost in Eq. 18.13, with FeCj, = 0, and xv = SC/ FiC + SC), where FiC is the capital cost (interest plus amortization). Obviously, the capital cost and the production rate have to refer to the same time period. Depending on the proportion of capital cost and operating cost, the optimization of experimental conditions gives different results. [Pg.897]

The primary interest in EIA is not in the mechanism of enzyme action. It is, nevertheless, essential to understand the elementary nature of enzyme reaction and of the effect of external factors, such as pH, temperature, ionic strength, other molecules and the solid-phase, on enzymic activity. For an optimal assay it is necessary to know (i) the stoichiometric details of the reaction (ii) the mole-cule(s) which should be present or avoided (iii) the kinetic dependence of the reaction on these molecules (iv) the optimization of experimental conditions and, (v) the accurate monitoring of the enzyme activity. Knowledge of the kinetic behaviour makes it possible to estimate the quantity of the immunoreactant present and to compare EIA to other assays. [Pg.151]

Waybright, T.J. et al., LC-MS in metabonomics Optimization of experimental conditions for the analysis of metabolites in human urine, J. Liquid Chromatogr. Related Technol., 29(17), 2475, 2006. [Pg.329]

Parth, M. Aust, N. Lederer, K. SEC of ultra-high molar mass polymers Optimization of experimental conditions to avoid molecular degradation in the case of narrow polystyrene standards. Int. J. Polym. Anal. Character. [Pg.1575]

This book is intended to show the beauty of conjugated polymer synthesis without ignoring the difficulties and obstacles. While organic electronics are often tempted to follow the fascination of device fabrication, this book takes the opposite direction in a synthesis-first approach. This approach requires imagination, but also scrupulous optimization of experimental conditions combined with careful proof of structural perfection. [Pg.10]

A confirmation experiment, imder the above-mentioned conditions, was conducted to confirm the optimal conditions obtained from the statistically based experimental design. Combined with the actual test conditions, 7% inulin added amount, 2.2% peptone content and 50 mL liquid medium volume were selected, and other insignificant impact factors were unchanged. The result showed Endoinulinase activity was 23.12 U/mL. Only two reports showed similar enzyme activities to our result. X H Duan et al (Duan et al. 2010) reported the highest endoinulinase activity is 18.29 U/mL. lie Zhao et al. (Zhao et al. 2012) obtained the highest endoinulinase activity is 12.48U/mL, but used uneconomical 3 days fermentation time, which was within the 95% confidence interval of the prediction. Therefore, the model was useful to predict the response and optimization of experimental conditions. [Pg.68]


See other pages where Optimization of Experimental Conditions is mentioned: [Pg.108]    [Pg.10]    [Pg.112]    [Pg.160]    [Pg.159]    [Pg.465]    [Pg.313]    [Pg.186]    [Pg.426]    [Pg.465]    [Pg.325]    [Pg.325]    [Pg.327]    [Pg.327]    [Pg.327]    [Pg.329]    [Pg.331]    [Pg.333]    [Pg.335]    [Pg.90]    [Pg.246]    [Pg.109]    [Pg.293]    [Pg.175]    [Pg.188]    [Pg.654]    [Pg.22]    [Pg.101]    [Pg.129]    [Pg.73]    [Pg.1474]    [Pg.358]    [Pg.229]   


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Experimental optimization

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Optimal conditions

Optimality conditions

Optimization conditions

Optimization of the experimental conditions

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