Alicyclobacillus spp. in the Fruit Juice Industry: History, by Su-Sen Chang; Dong-Hyun Kang

By Su-Sen Chang; Dong-Hyun Kang

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1984a) indicate that the concentration of arginine is not normally distributed in Israeli orange juice. Where such circumstances are found, it is usual to seek to transform the figures (for example by taking logarithms) to a form where the distribution is Gaussian and the statistical treatments are valid. A second source of misunderstanding is the assumption that statistical properties determined from samples also apply to the population of all orange juices. However, there is always some error involved in estimating the population characteristics this way.

1970). , 1979; Rouseff and Ting, 1979; Bianchini and Gaydou, 1980). There are five main PMFs in orange juice. In declining order of concentration these are nobile tin, sinensetin, heptamethoxyflavone, tetra-O-methyl scutellarein and tangeritin. , 1979). PMFs were included in methods for the liquid chromatographic characterisation of orange juice by Perfetti et aT. (1988). Here, the results were not quantified, partly because too few standard materials exist for calibration. Rather the peak heights from the chromatograms were used directly in a pattern recognition analysis.

1980), but there have been few others. Aries et ai. (1986) analysed their data from pyrolysis-mass spectrometry of orange juice this way. Fry et ai. (1987) used and compared two pattern recognition methods in their examination of citrus juice on the UK market. However, such is its promise that pattern recognition features in the largest study of orange juice authenticity to date, namely the research of the FDA (Johnston and Kaufmann, 1984; Page, 1986). This includes one of the main pattern recognition programs, SIMCA, a form of principal components analysis.

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