Abstract Large quantities of by-products, such as peels and trimmings, emerge during industrial pineapple (Ananas comosus [L.] Merr.) processing. The latter are further exploited by juice extraction. However, the low-quality juices obtained may be marketed as genuine pineapple juice from pulp or be admixed to the latter, thus adulterating the final product. To identify chemical markers, juice was extracted from edible pulp, from flesh adhered to the peel, and from milled peel. The metabolite pattern in the juices was elucidated by HPLC-DAD-(HR)-ESI-MSn. Unsupervised principal component analysis (PCA) and hierarchical cluster analysis (HCA) as well as supervised partial least squares discriminant analysis (PLS-DA) and PLS regression calculated on the basis of physico-chemical parameters and metabolite profiles enabled the distinction between juices from pulp and those from peel, irrespective of the fruit maturity degree. In addition, selected marker compounds were deduced from the multivariate statistics, permitting the unambiguous distinction between pulp and peel juices as well as the three maturity stages assessed.

中文翻译：

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来自果肉和果皮的菠萝 (Ananas comosus [L.] Merr.) 汁的表征和分类

摘要 工业菠萝 (Ananas comosus [L.] Merr.) 加工过程中会产生大量副产品，例如果皮和切屑。后者通过榨汁进一步开发。然而，获得的低质量果汁可能会作为真正的菠萝汁从果肉出售或与后者混合，从而对最终产品造成污染。为了识别化学标记，从可食用的果肉、粘附在果皮上的果肉和磨碎的果皮中提取果汁。通过 HPLC-DAD-(HR)-ESI-MSn 阐明了果汁中的代谢物模式。无监督主成分分析 (PCA) 和层次聚类分析 (HCA) 以及有监督的偏最小二乘判别分析 (PLS-DA) 和基于物理化学参数和代谢物谱计算的 PLS 回归能够区分果肉果汁和那些来自果皮的，无论果实成熟度如何。此外，选定的标记化合物是从多变量统计数据中推导出来的，可以明确区分果肉汁和果皮汁以及评估的三个成熟阶段。