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Partial Least Squares formulation

Mancozeb is a dithiocarbamate pesticide with a very low solubility in organic and inorganic solvent. In this work we have developed a solvent free, accurate and fast photoacoustic FTIR-based methodology for Mancozeb determination in commercial fungicides. The proposed procedure was based on the direct measurement of the solid samples in the middle infrared region using a photoacoustic detector. A multivariate calibration approach based on the use of partial least squares (PLS) was employed to determine the pesticide content in commercially available formulations. [Pg.93]

When compounds are selected according to SMD, this necessitates the adequate description of their structures by means of quantitative variables, "structure descriptors". This description can then be used after the compound selection, synthesis, and biological testing to formulate quantitative models between structural variation and activity variation, so called Quantitative Structure Activity Relationships (QSARs). For extensive reviews, see references 3 and 4. With multiple structure descriptors and multiple biological activity variables (responses), these models are necessarily multivariate (M-QSAR) in their nature, making the Partial Least Squares Projections to Latent Structures (PLS) approach suitable for the data analysis. PLS is a statistical method, which relates a multivariate descriptor data set (X) to a multivariate response data set Y. PLS is well described elsewhere and will not be described any further here [42, 43]. [Pg.214]

Levodopa, benserazide Pharmaceutical formulations UV-Vis 4.1-20.3 x 10 1 mol L-1 0.85-4.25 x 1CT4 mol L 1 168 Multidimensional partial least-square regression/zone stopping [67]... [Pg.276]

Flavors are widely used in pharmaceutical solutions to mask drug bitterness. Zhu s group [48] has used an MOS electronic nose to perform headspace analysis of these formulations. The method was able to qualitatively distinguish six common flavors (raspberry, red berry, strawberry, pineapple, orange, and cherry) in placebo mixtures. The instrument was also able to identify unknown flavors. It was also indicated that the instrument could be used to identify different flavor raw materials. Moreover, the electronic nose was used for quantitative analysis of flavors in an oral solution. Data processing and identification were done by PCA, discriminant factorial analysis (DFA), and partial least squares. [Pg.185]

Armenia, S., S. Garrigues, and M. de la Guardia.2007. Partial least squares-near infrared determination of p>esticides in commercial formulations. Journal cf Vibrational Spectroscopy. 44 273-278. [Pg.464]

Fluorimetry was considered in the 1950s as the natural detector for pharmaceuticals, due to its improved selectivity and sensitivity compared with UV-Vis absorption. Recent FIA applications include the determination of diazepam, nitrazepam, and oxazepam in pharmaceutical formulations using acidic hydrolysis and fluorimetric detection. Oxidation with Ce(IV) and measurement of the fluorescence from the released Ce(III), which can be considered as a classical strategy, is an appropriate technique for mixtures of amoxycillin and clavulanic acid where kinetic data are used in combination with partial least-squares multivariate calibration. [Pg.1307]

SIA instrumentation has been applied to the automated dissolution studies of a sustained release formulation of ibuprofen. The instrument monitored the absorbance of seven replicate samples six times per hour. With the application of partial least squares regression analysis to the resultant absorbance data, this same instrumentation was capable of the simultaneous determination of aspirin, phenacetin, and caffeine in pharmaceutical formulations. [Pg.4432]

Mixtures of acetylsalicylic acid and ascorbic acid have been studied by using parallel factor analysis and partial least-squares. The former is used for spectral deconvolution, and pK estimation for both acids. The simultaneous determination of fosinopril and hydrochlorothiazide in pharmaceutical formulations consists of extracting both compounds in an aqueous solution, measuring by multiwavelength UV spectrophotometry hydrochlorothiazide acts as an internal standard to verify the accuracy of the analysis. [Pg.4518]

Spectrophotometric monitoring with the aid of chemometrics has also been applied to more complex mixtures. To solve the mixtures of corticosteroid de-xamethasone sodium phosphate and vitamins Bg and Bi2, the method involves multivariate calibration with the aid of partial least-squares regression. The model is evaluated by cross-validation on a number of synthetic mixtures. The compensation method and orthogonal function and difference spectrophotometry are applied to the direct determination of omeprazole, lansoprazole, and pantoprazole in grastroresistant formulations. Inverse least squares and PCA techniques are proposed for the spectrophotometric analyses of metamizol, acetaminophen, and caffeine, without prior separation. Ternary and quaternary mixtures have also been solved using iterative algorithms. [Pg.4519]

Additionally, this robust method employing simple statistics based upon the calculation of a spectral best fit permits near-infrared tablet hardness prediction across a range of drug concentrations. In 1997, Morisseau and Rhodes [105] published a paper similar to the work by Drennen and Kirsch wherein they used NIR to determine the hardness of tablets. Four formulations (two of hydrochlorothiazide (HCTZ) and two of chlorpheniramine (CTM)) and a placebo were prepared with hardness levels between 2 and 12 kg. Using MLR and partial least-squares (PLS), equations were generated that allowed good prediction of hardness for all the products. [Pg.82]

How can one relate T, U, P and Q in such a way First, our previous knowledge of the problem and the analytical technique suggests that these blocks of data, which represent two different aspects of the same true materials (solutions, slurries, etc.), must be related (we do not know how, but they must ). The algorithm developed by H. Wold (called non-linear iterative partial least squares , NIPALS sometimes it is also termed non-iterative partial least squares ) started from this idea and was formulated as presented below. The following ideas have roots in works by Geladi (and co-workers) and Otto. We consider seven major steps. [Pg.302]

Perhaps the most common application of VS in the determination of chemical makeup in polymeric systems is the identification of components in complex polymer mixtures. Polymeric products are rarely composed of a single component. There are always additives present that aid in processing, appearance, adhesion, chemical stability or other properties important to the function of the final product. In an industrial setting, it is important to be able to determine both the identity and quantity of polymers and additives in a specific formulation for quality control purposes. This can be a fairly routine operation if tools such as spectral libraries are utilized. In this method, a computer search algorithm compares a spectrum with a catalogue of standard spectra to determine the identity of the compovmd or compounds present. Advanced statistical techniques, such as partial least squares (PLS) and principal-component analysis (PCA), are also often used to identify known and unknown components in polymeric systems. The details of these methods are described elsewhere in the Encyclopedia. [Pg.696]

The standard formulation of least-squares adjustments of a linear equation can be solved in a closed form and the errors in the parameters calculated directly. This formulation is often given as an example of the use of partial differential calculus in a practical situation. If the errors are equal and exist primarily in the y variable, the mathematical function to be minimized is... [Pg.340]

As to the previously considered simple hybrid network (Fig. 4.1), ARRs in closed symbolic form could be derived from its diagnostic bond graph (Fig. 4.2). As a result, analytical expressions for the ARR residuals to be used in the formulation of the least squares cost function are available and symbolic partial derivatives of ARR residuals with respect to the targeted fault parameters can be exploited. [Pg.137]


See other pages where Partial Least Squares formulation is mentioned: [Pg.266]    [Pg.63]    [Pg.185]    [Pg.189]    [Pg.221]    [Pg.199]    [Pg.553]    [Pg.594]    [Pg.277]    [Pg.483]    [Pg.120]    [Pg.469]    [Pg.258]    [Pg.285]    [Pg.519]    [Pg.519]   
See also in sourсe #XX -- [ Pg.317 ]




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