ArticleFoods (Basel, Switzerland)2023
Non-Destructive Quality Evaluation of 80 Tomato Varieties Using Vis-NIR Spectroscopy.
Article in Foods (Basel, Switzerland), 2023. 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, 17 citations in OpenAlex.
- Development of a Dynamic Multi-Parameter Prediction Model for the Maturation Process of 'Foods (Basel, Switzerland) · 2026Article
- Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging.Foods (Basel, Switzerland) · 2025Article
- The Role of Near-Infrared Spectroscopy in Food Quality Assurance: A Review of the Past Two Decades.Foods (Basel, Switzerland) · 2024Review
- Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review.Frontiers in plant science · 2024Review
- Discrimination of Maturity Stages of Cabernet Sauvignon Wine Grapes Using Visible-Near-Infrared Spectroscopy.Foods (Basel, Switzerland) · 2023Article
- Application for Identifying the Origin and Predicting the Physiologically Active Ingredient Contents ofFoods (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Traditional biochemical methods are resource- and time-consuming; therefore, there is a need for cost-effective alternatives. A spectral analysis is one of the non-destructive techniques that are more widely used for fruit quality determination; however, references are needed for traditional methods. In this study, visible and near-infrared (Vis-NIR) spectroscopy was used to analyze the internal quality attributes of tomatoes. For the first time, 80 varieties with large differences in fruit size, shape, color, and internal structure were used for an analysis. The aim of this study was to develop models suitable to predict a taste index, as well as the content of lycopene, flavonoids, β-carotene, total phenols, and dry matter of intact tomatoes based on Vis-NIR reflectance spectra. The content of phytochemicals was determined in 80 varieties of tomatoes. A total of 140 Vis-NIR reflectance spectra were obtained using the portable spectroradiometer RS-3500 (Spectral Evolution Inc.). Partial least squares regression (PLS) and multiple scatter correction (MSC) were used to develop calibration models. Our results indicated that PLS models with good prediction accuracies were obtained. The present study showed the high capability of Vis-NIR spectroscopy to determine the content of lycopene and dry matter of intact tomatoes with a determination coefficient of 0.90 for both parameters. A regression fit of R2 = 0.86, R2 = 0.84, R2 = 0.82, and R2= 0.73 was also achieved for the taste index, flavonoids, β-carotene, and total phenols, respectively.
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