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Abstract
Abstract The composition of organic constituents (total sugars, reactive phenols, total amino acids, arginine, and γ-aminobutyric acid) has been measured in a large (360 samples) selection of concentrated orange juice for manufacturing and orange pulp wash in the U.S. trade. The detection of adulteration with sugar, reducing sugars, and citric acid addition has been investigated by using non-parametric nearest neighbor classification techniques in the 4-space of log ratios of the compositions. The results show that such detection is possible with a type 1 = type 2 error rate of 1 0% for 2 0% adulteration if at least 7 samples are taken. The assumptions of such samplings are discussed.
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