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Sensitivity and specificity of PLS-class modelling for five sensory characteristics of dry-cured ham using visible and near infrared spectroscopy [An
About Sensitivity and specificity of PLS-class modelling for five sensory characteristics of dry-cured ham using visible and near infrared spectroscopy [An article from: Analytica Chimica Acta] detail
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Sensitivity and specificity of PLS-class modelling for five sensory characteristics of dry-cured ham using visible and near infrared spectroscopy [An article from: Analytica Chimica Acta] Description
This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The two objectives of this work were to evaluate near infrared reflectance spectroscopy (NIR) as a tool for on-line classification of dry-cured ham samples according to their sensory characteristics and propose a method for obtaining a set of qualified class models that enables accurate decisions to be taken. With these aims, 117 dry-cured ham samples were classified by expert judges as compliant or non-compliant concerning sensory variables as pastiness, colour, crusting, marbling and ring colour. These samples were also scanned using a remote reflectance fiber optic probe. Each class model built for each sensory variable is evaluated for its sensitivity and specificity, parameters related with the probability of false non-compliance (@a) and false compliance (@b) of ''H"0: the sample is compliant'' hypothesis test. With the five sets of PLS-class modelling the five risk curves, graphs @b versus @a, are estimated. It is therefore possible to choose the risks of false compliance and false non-compliance for each sensorial variable according to the needs of the decision-maker.
9/12/09
Near infrared reflectance spectroscopy and multivariate analysis in enology [An article from: Analytica Chimica Acta]
About Near infrared reflectance spectroscopy and multivariate analysis in enology [An article from: Analytica Chimica Acta] detail
- Published on: 2004-11-29
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Near infrared reflectance spectroscopy and multivariate analysis in enology [An article from: Analytica Chimica Acta] Description
This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
A study of the feasibility of near infrared reflectance spectroscopy (NIRS) for analytical monitoring in wineries is presented, in which equations for the determination or screening of the commonest enological parameters are proposed. The training and validation sets to develop NIR general equations were built with samples (180) from different apellation d'origine, different wine types, etc. By the calibration step (partial least squares regression and cross-validation were used for multivariate calibration), major components such as ethanol, volumic mass, total acidity, pH, glycerol, colour, tonality and total polyphenol index are accurate determined by the proposed equations as compared with the reference data obtained by the official and standard methods-determination coefficients (R^2) were higher than 0.800 (and higher than 0.900 most times) and standard error cross-validation (SECV) values were close to those of the reference methods. The proposed method also offers screening capability for components such as volatile acidity (R^2 = 0.481), organic acids (R^2 = 0.432 for malic acid, R^2 = 0.544 for tartaric acid, R^2 = 0.541 for gluconic acid)-with the exception of the accurate determination of lactic acid (0.860 and 0.35gl^-^1 for R^2 and SECV, respectively)-reducing sugars (R^2 = 0.705) and total sulphur dioxide (R^2 = 0.615). In equations validation, the correlation between the reference and NIRS methods was tested, and slope and bias values statistically not different from 1 and 0, respectively, were obtained for most parameters.
9/10/09
Content uniformity and tablet hardness testing of intact pharmaceutical tablets by near infrared spectroscopy [An article from: Analytica Chimica Acta
About Content uniformity and tablet hardness testing of intact pharmaceutical tablets by near infrared spectroscopy [An article from: Analytica Chimica Acta] detail
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Content uniformity and tablet hardness testing of intact pharmaceutical tablets by near infrared spectroscopy [An article from: Analytica Chimica Acta] Description
This digital document is a journal article from Analytica Chimica Acta, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The use of process analytical technologies by the pharmaceutical industry is a response to its growing need for improved productivity in order to face the increasing competition in this field. In this work, we explored the use of near infrared spectroscopy (NIRS) for the determination of physical (tablet hardness) and chemical parameters (active principle and content uniformity) in intact individual pharmaceutical tablets. Quantization was done by using a Partial Least Squares 1 (PLS1) calibration model constructed from laboratory calibration samples that were prepared by mixing the active principle and excipients, and pressing the mixture into tablets. The compaction pressure to be applied to the powder was previously determined by using another PLS1 model that allows calculating it from production tablets. The NIRS method used to quantify the active principle is simpler as the calibration set encompasses the variability sources present in production samples; also, it allows individual tablets to be analysed. The proposed method was validated in accordance with the International Conference on Harmonization (ICH) and The European Agency for the Evaluation of Medicinal Products (EMEA) guidelines, and found to be fit for its intended purpose. pose.