ArticleFoods (Basel, Switzerland)2022
Analysis of Nutrients and Volatile Compounds in Cherry Tomatoes Stored at Different Temperatures.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Root morphology mediates yield and fruit quality responses of cherry tomato to a EuBMC plant biology · 2026Article
- Optimization of Nano-SiOFoods (Basel, Switzerland) · 2025Article
- Chlorine Dioxide (ClOMolecules (Basel, Switzerland) · 2025Article
- Chromatic symphony of fleshy fruits: functions, biosynthesis and metabolic engineering of bioactive compounds.Molecular horticulture · 2025Review
- Impact of Calcium Sources on Soil Chemical Properties, Tomato Growth, Yield, and Quality.TheScientificWorldJournal · 2025Article
- Intelligent Evaluation and Dynamic Prediction of Oyster Freshness with Electronic Nose Based on the Distribution of Volatile Compounds Using GC-MS Analysis.Foods (Basel, Switzerland) · 2024Article
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Authors and funding
9 authors.
Funding
Abstract
Monitoring of the quality change of cherry tomatoes during storage is very important for the quality control of cherry tomatoes. In this study, the soluble solids content (SSC), reducing sugars (RSs), titratable acids (TAs), ascorbic acid (AA) and lycopene of cherry tomatoes during storage at 0, 4, 10 or 25 °C were measured, and the kinetic models were established. The results showed that the zero-order reaction combined with the Arrhenius kinetic model could be used for the prediction of changes in SS, RS and AA content. The first-order reaction combined with the Arrhenius kinetic model could be used for the prediction of changes in the TA and lycopene content. The volatile compounds of cherry tomatoes were simultaneously determined by the gas chromatography-mass spectrometry (GC-MS) and electronic nose (E-nose). A total of 104 volatile compounds were identified by GC-MS. Orthogonal partial least squares discriminant analysis (OPLS-DA) showed that there were 13 different metabolites among cherry tomatoes with different freshness. The accuracies of Fisher's models based on E-nose for discriminating freshness of cherry tomatoes stored at 0, 4, 10 and 25 °C were 96%, 100%, 92% and 90%, respectively. This study provides a theoretical basis for the quality control of cherry tomatoes during storage.
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