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.
The use of XLSTAT in conducting principal component analysis (PCA) when evaluating the relationships between sensory and quality attributes in grilled foods
PCA could be applied to explore relationships between volatile compounds and sensory attributes in different food systems.PCA clustered marinated and unmarinated meats based on the presence and abundances of volatile terpenes, thiols and consumer sensory attribute scores.XLSTAT PCA output successfully reduced the number of variables into 2 components that explained 90.47% of the total variation of the data set.PCA was conducted to determine the correlations between the abundances of volatile terpenes and thiols and sensory attribute scores in marinated grilled meats, as well as to analyze if there was any clustering based on the type of meat and marination treatments employed. As a case of study, multivariate analysis is used to study the effects of unfiltered beer-based marination on the volatile terpenes and thiols, and sensory attributes of grilled ruminant meats.
#How to find r^2 xlstat software#
Interests in XLSTAT as statistical software program of choice for routine multivariate statistics has been growing due in part to its compatibility with Microsoft Excel data format. Principal component analysis (PCA) is an unsupervised multivariate analysis technique that simplifies the complexity of data by transforming them in a few dimensions showing their trends and correlations. XLSTAT has all standard features and algorithms of machine learning software which can be operated by editing simple spreadsheets.Multivariate statistics is a tool for examining the relationship of multiple variables simultaneously. Data preparation is the single tedious task which consumes most of the time in a data science project.
XLSTAT can process even spatial data as raster to CSV converted files and enables to prepare the data just like in Excel. In short, XLSTAT is a workhorse for data scientists with a few simple mouse clicks and visualizing the response in every step as stunning graphics. This is where XLSTAT becomes the default platform for data science projects. In this situation, undergraduates who only have some basic operational knowledge about Excel spreadsheets are easily drawn into using a data science platform which runs on the already familiar Excel and transforms their data in spreadsheets into powerful and efficient models. This tutoring approach goes a long way in encouraging students towards a dissertation project involving data-driven modelling. This includes even spatial and time-series data. In the academic milieu, we regularly face the task of explaining students of how statistical models are built from a set of data and their specific applications accompanied by demonstrations in the classroom. With XLSTAT, the first one in the list alone is sufficient enough to successfully accomplish the goal the rest is taken care of by XLSTAT. Sampling, data preparation, exploratory data analysis to building prediction models with state-of-the-art machine learning algorithms generally encompasses a set of requirements: a clear objective, a software with all standard features and algorithms, intuition, technical guidance, and probably, also experience. XLSTAT can be best described as the software for data science from beginner to advanced levels that can be operated without the need of technical guidance.
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