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Comprehensive Evaluation of 24 Red Raspberry Varieties in Northeast China Based on Nutrition and Taste.


ABSTRACT: Red raspberry is a kind of fruit with high nutritional values. To evaluate the comprehensive quality of 24 red raspberry varieties in Northeast China, physicochemical properties, bioactive compounds and sensory characteristics were measured, followed by principal component analysis (PCA) and cluster analysis (CA). Altogether, eight important property indexes for processing attributes were selected out using PCA, including titratable acidity (TAC), sugar-acid ratio (SAR), pH, length, diameter, weight, sucrose and citric acid. Six individual sugars, including l-rhamnose monohydrate, fructose, glucose, sucrose, maltose and d-trehalose anhydrous, as well as eight organic acids, including oxalic acid, tartaric acid, malic acid, α-ketoglutaric acid, lactic acid, citric acid, fumaric acid and succinic acid, were identified in red raspberry. The two main clusters according to individual sugar, organic acids and SAR indicated that varieties including 'European red', 'DNS9', 'Bulgaskc', 'Canby' and 'Samodiva' were suitable for fresh-eating or processing to juice or other products directly because they had suitable SAR; other varieties with relatively low SAR were unsuitable for fresh-eating and need to adjust their excessive sour taste during processing.

SUBMITTER: Yu Y 

PROVIDER: S-EPMC9601403 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Comprehensive Evaluation of 24 Red Raspberry Varieties in Northeast China Based on Nutrition and Taste.

Yu Yiping Y   Yang Guang G   Sun Lanying L   Song Xingshun X   Bao Yihong Y   Luo Ting T   Wang Jinling J  

Foods (Basel, Switzerland) 20221016 20


Red raspberry is a kind of fruit with high nutritional values. To evaluate the comprehensive quality of 24 red raspberry varieties in Northeast China, physicochemical properties, bioactive compounds and sensory characteristics were measured, followed by principal component analysis (PCA) and cluster analysis (CA). Altogether, eight important property indexes for processing attributes were selected out using PCA, including titratable acidity (TAC), sugar-acid ratio (SAR), pH, length, diameter, we  ...[more]

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