Y Pico's Chemical Analysis of Food: Techniques and Applications PDF

By Y Pico

ISBN-10: 0123848636

ISBN-13: 9780123848635

Chemical research of meals: thoughts and purposes stories new expertise and demanding situations in foodstuff research from a number of views: a evaluate of novel applied sciences getting used in foodstuff research, an in-depth research of a number of particular methods, and an exam of the main cutting edge functions and destiny traits. The publication is established in elements: the 1st describes the position of the newest developments Read more...

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Extra resources for Chemical Analysis of Food: Techniques and Applications

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1. INTRODUCTION 38 39 45 48 generally of the same nature. For instance, gas chromatographic (GC) analysis of fatty acid methyl esters allows us to quantify, with a single chromatogram, the fatty acid composition of a vegetable oil sample (American Oil Chemist’s Society, 1998). , 2011). 1. From Data to Information Advances in technology and the increasing availability of powerful instrumentation now offer analytical food chemists the possibility for obtaining high amounts of data on each sample analyzed, in a reasonable e often negligible e time frame (Valca´rcel and Ca´rdenas, 2005).

2. I. 2. 1. 2. Normality Tests Assessing for compatibility with a normal distribution is a basic issue in data analysis, because many methods require variables to be normally distributed. As observed, frequency distributions may be employed for this purpose. Visual examination of histogram shapes may supply a preliminary evaluation. Besides, the cumulative empirical frequency distributions (EFDs) constitute the basis for a family of statistical normality tests, which are usually referred to as KolmogoroveSmirnov tests (Kolmogorov, 1933; Smirnov, 1939).

When only two groups e and, consequently, two variances e are being compared, a Fisher’s F test is suitable to verify this preliminary hypothesis. 86. So it is possible to conclude that the variances of the two groups considered are not significantly different, at a 5% right significance level. In problems involving more than two groups, the comparison among variances can be performed with multiple F tests on all the possible pairs, or by means of the Cochran’s test or the Bartlett’s tests (Snedecor and Cochran, 1989).

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