Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

In order to extend the use of the Rapid Visco Analyser (RVA) as an analytical tool in barley breeding programs, it is necessary to find relationships between barley flour pasting properties and potential malting quality. Traditionally, the RVA is used to provide discrete values related with the pasting characteristics of the sample under analysis. Although this approach is very useful, considering the rich data generated by RVA analysis, this can result in the loss of information about starch pasting characteristics, reducing the potential of the RVA as an analytical tool. This study aims to evaluate the ability of using multivariate data methods (MVA) and derivatives to the profile generated by the RVA as a source of information to further study starch pasting characteristics to select materials in barley breeding programs or other food applications. The use of MVA techniques such as principal component analysis (PCA) and partial least squares (PLS) regression together with the use of derivatives (e.g. first and second derivatives) allows better interpretation of the RVA profile, resulting in more information related to the pasting properties of the sample. © 2012 Elsevier Ltd.Daniel Cozzolino, Katherine Allder, Sophia Roumeliotis, Jason Eglinto

Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort

Abstract not availableD. Cozzolino, D. Schultz, K. Allder, J. Eglinton, S. Roumelioti

Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort

The feasibility of using attenuated total reflectance in combination with mid-infrared (MIR) spectroscopy for the analysis ofmalt quality parameters in wort, such as freeα-amino acid (FAN), apparent attenuation limit (AAL), soluble protein (SP) andviscosity (VIS), was evaluated. The coefficients of determination in cross-validationR2CVand the standard error of cross-validation were 0.81 and 10.3 mgL1for FAN, 0.80 and 1.49% for AAL, 0.78 and 0.18% for SP and 0.69 and 0.13 cP for VIS.Good calibration and validation statistics were obtained for AAL. However, for nitrogenous compounds the MIR predictionscan only be used as approximate estimates of the true concentrations, for example to rank samples (low, medium, high) inthe context of a breeding programm

Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

In order to extend the use of the Rapid Visco Analyser (RVA) as an analytical tool in barley breeding programs, it is necessary to find relationships between barley flour pasting properties and potential malting quality. Traditionally, the RVA is used to provide discrete values related with the pasting characteristics of the sample under analysis. Although this approach is very useful, considering the rich data generated by RVA analysis, this can result in the loss of information about starch pasting characteristics, reducing the potential of the RVA as an analytical tool. This study aims to evaluate the ability of using multivariate data methods (MVA) and derivatives to the profile generated by the RVA as a source of information to further study starch pasting characteristics to select materials in barley breeding programs or other food applications. The use of MVA techniques such as principal component analysis (PCA) and partial least squares (PLS) regression together with the use of derivatives (e.g. first and second derivatives) allows better interpretation of the RVA profile, resulting in more information related to the pasting properties of the sample. © 2012 Elsevier Ltd

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National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care, North Thame

Feasibility study on the use of attenuated total reflectance mid-infrared spectroscopy for the analysis of malt quality parameters in wort

The feasibility of using attenuated total reflectance in combination with mid-infrared (MIR) spectroscopy for the analysis of malt quality parameters in wort, such as free α-amino acid (FAN), apparent attenuation limit (AAL), soluble protein (SP) and viscosity (VIS), was evaluated. The coefficients of determination in cross-validation RCV2 and the standard error of cross-validation were 0.81 and 10.3mgL-1 for FAN, 0.80 and 1.49% for AAL, 0.78 and 0.18% for SP and 0.69 and 0.13cP for VIS. Good calibration and validation statistics were obtained for AAL. However, for nitrogenous compounds the MIR predictions can only be used as approximate estimates of the true concentrations, for example to rank samples (low, medium, high) in the context of a breeding programme. © 2014 The Institute of Brewing & Distilling