![]() ![]() ![]() The volatile metabolites present in the headspace of the unmarinated and marinated grilled ruminant meats were identified and subsequently semi-quantified based on the area counts × 10 −6 of the base peak. ![]() The aim of this MethodsX paper is to present a detailed step-by-step data analysis approach to demonstrate the use of principal component analysis to summarize, visualize and interpret the volatile metabolites and sensory attributes of marinated and unmarinated grilled ruminant meat using XLSTAT as the platform. XLSTAT is a statistical software that can be employed to perform multivariate analysis of complex data sets. Principal component analysis (PCA) is a multivariate statistical technique applied to reduce the number of variables (i.e., volatile metabolites) into a few uncorrelated variables named principal components (or factors) based on patterns of correlation of the original variables. The volatile profile and sensory test analyses of the grilled meat were complex data sets (more than 100 volatile compounds were identified, and 9 sensory attributes were scored in each sample) requiring the use of multivariate statistics for their analysis. In a previous study, moose and beef steaks were marinated with two novel formulations of unfiltered beer-based marinades, and grilled. This process adds new compounds, which could have antioxidant properties and flavours, improving the sensory characteristics and preserving the meat nutritional quality. Meat marination is the process of incubating the meat into a seasoned liquid base before cooking. The nutritional and sensory quality (e.g., appearance, texture, aroma, and flavor) are 2 key factors which determine consumers meat choice. Meat is an excellent source of nutrients including proteins, dietary fatty acids, essential minerals, and vitamins. XLSTAT statistical and data analysis solution. “Novel unfiltered beer-based marinades to improve the nutritional quality, safety, and sensory perception of grilled ruminant meats” Food chemistry 302 (2020): 125326. This version only runs on the 64-bit desktop version of Excel.The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods See more information about compatibility with Office versions here. Sensitivity and feature analysis to test the performance of a test Model survival time using auxiliary variables Test the relationship between two sets of variables Investigate the relationship between probabilistic tables and a set of variables Identify important product attributes from product selectionĬo-integration tests: Investigate possible correlations between several time series Test one product differently from another Identify product features that can be improved to increase quality Spectral analysis: Investigation of frequency distribution of components in time series Multiple Factor Analysis (MFA): Examining the relationship between several sets of variables XLSTAT is used by more than 50,000 customers, businesses and universities in more than 100 countries worldwide. This software has grown as one of the statistical software packages due to its powerful, reliable and cost-effective and it is more welcomed in the market. ![]() XLSTAT statistical analysis software is compatible with all versions of Excel from version 97 to 2016 (except Mac 2016) and is compatible with Windows 9x and Windows 10 systems. XLSTAT is a statistical analysis extension and provides a wide range of functions to enhance Excel's analytics capabilities. ![]()
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