The use of correlation, association and regression to analyse processes and products

Cozzolino, Daniel

doi:10.1002/9781118434635.ch02

Cited by 6 publications

(2 citation statements)

References 46 publications

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“…The same question applies when linear regression analysis is performed, especially when a calibration curve is plotted. Souza and Junqueira (2005), Granato, Calado, and Jarvis (2014) and Cozzolino (2014) made useful comments on the application of these methods in food research and listed the prerequisites needed to be checked prior to the analysis. Answering the above question is simple: using all replicates to generate regression models or calculate the r-value and its significance (p-value), the more realistic your correlation coefficient will be.…”

Section: Univariate and Bivariate Methodsmentioning

confidence: 99%

The use of statistical software in food science and technology: Advantages, limitations and misuses

Nunes

Alvarenga

Sant’Ana

et al. 2015

Food Research International

128

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Strict requirements of scientific journals allied to the need to prove the experimental data are (in)significant from the statistical standpoint have led to a steep increase in the use and development of statistical software. In this aspect, it is observed that the increasing number of software tools and packages and their wide usage has created a generation of 'click and go' users, who are eagerly destined to obtain the p-values and multivariate graphs (projection of samples and variables on the factor plane), but have no idea on how the statistical parameters are calculated and the theoretical and practical reasons he/she performed such tests. However, in this paper, some published examples are listed and discussed in detail to provide a holistic insight (positive points and limitations) about the uses and misuses of some statistical methods using different available statistical software. Additionally, a brief description of several commercial and free statistical software is made highlighting their advantages and limitations.

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Section: Univariate and Bivariate Methodsmentioning

confidence: 99%

The use of statistical software in food science and technology: Advantages, limitations and misuses

Nunes

Alvarenga

Sant’Ana

et al. 2015

Food Research International

128

View full text Add to dashboard Cite

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“…Integral equations of the WienerHopf type [7] are widely used in chemical, petrochemical, food technologies. The use of methods of regression and correlation analysis for the TECHNOLOGY AUDIT AND PRODUCTION RESERVES -№ 1/3(57), 2021 ISSN 2664-9969 processes of the food and chemical industry, based on multi variate data analysis, is given in the fundamental work [8].…”

Section: Introductionmentioning

confidence: 99%

Study of structure of flows of a technological apparatus using the theory of random functions

Beznosyk¹,

Bugaieva²

2021

TAPR

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The object of research is the structure of flows in the absorber of hydrogen chloride. One of the most problematic areas in the study of flow hydrodynamics in chemical-technological devices are both technological and technical difficulties, when the device is exposed to random disturbances and/or the supply of a standard indicator is impossible due to a violation of the technological regulations. A method for studying the hydrodynamic structure of flows in a shelf absorber of hydrogen chloride of the «Korobon-KA» type (Germany) in the normal operation of a chemical apparatus using the theory of random functions is proposed. An industrial experiment was carried out on the operating equipment to determine the input and output concentrations of the components of the gas flow. The absorber of hydrogen chloride is considered as a one-dimensional object, at the input of which a random function acts – the concentration of hydrogen chloride in the input stream, and at the output there is a random variable – the concentration of hydrogen chloride in the output stream. The method for determining hydrogen chloride and chlorine in a gas stream is based on the absorption of chlorine by a solution of potassium iodide, followed by titration of the released iodine with sodium thiosulfate. In parallel, portions of acid were sampled at the inlet and outlet, and then the density and temperature of the hydrochloric acid solutions were determined. An algorithm for calculating the impulse function estimates is developed. The obtained experimental data are smoothed. As a result of processing the experimental data, autocorrelation and cross-correlation functions were obtained, the Wiener-Hopf equation was solved, and the impulse weight function was obtained. Having calculated the moments of the obtained impulse weight function, it was proved that the structure of flows in the «Korobon-KA» absorber can be satisfactorily described by the ideal displacement model. The calculations were carried out in software environments MathCAD, Matlab. According to the results obtained, the proposed method for determining the hydrodynamic structure of flows will find application in the study of chemical-technological devices, when the object is exposed to random disturbances and the supply of a standard indicator is impossible due to violation of technological regulations. This makes it possible to find the parameters of flow hydrodynamics in the apparatus in the mode of its normal operation.

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Mammalian cell culture monitoring using in situ spectroscopy: Is your method really optimised?

André

Lagresle

Hannas³

et al. 2017

Biotechnology Progress

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In recent years, as a result of the process analytical technology initiative of the US Food and Drug Administration, many different works have been carried out on direct and in situ monitoring of critical parameters for mammalian cell cultures by Raman spectroscopy and multivariate regression techniques. However, despite interesting results, it cannot be said that the proposed monitoring strategies, which will reduce errors of the regression models and thus confidence limits of the predictions, are really optimized. Hence, the aim of this article is to optimize some critical steps of spectroscopic acquisition and data treatment in order to reach a higher level of accuracy and robustness of bioprocess monitoring. In this way, we propose first an original strategy to assess the most suited Raman acquisition time for the processes involved. In a second part, we demonstrate the importance of the interbatch variability on the accuracy of the predictive models with a particular focus on the optical probes adjustment. Finally, we propose a methodology for the optimization of the spectral variables selection in order to decrease prediction errors of multivariate regressions. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:308-316, 2017.

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The use of correlation, association and regression to analyse processes and products

Cited by 6 publications

References 46 publications

The use of statistical software in food science and technology: Advantages, limitations and misuses

The use of statistical software in food science and technology: Advantages, limitations and misuses

Study of structure of flows of a technological apparatus using the theory of random functions

Mammalian cell culture monitoring using in situ spectroscopy: Is your method really optimised?

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