ArticleFrontiers in plant science2024
Prediction of cyanidin 3-rutinoside content in
Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- A cyanidin-3-O-rutinoside dominant anthocyanin system fromFood chemistry: X · 2026Article
- Multispectral imaging for zeaxanthin content in the exocarp of chili peppers.Food chemistry: X · 2026Article
- Selection of Optimal Diagnostic Positions for Early Nutrient Deficiency in Cucumber Leaves Based on Spatial Distribution of Raman Spectra.Plants (Basel, Switzerland) · 2025Article
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Authors and funding
7 authors.
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Abstract
Currently the determination of cyanidin 3-rutinoside content in plant petals usually requires chemical assays or high performance liquid chromatography (HPLC), which are time-consuming and laborious. In this study, we aimed to develop a low-cost, high-throughput method to predict cyanidin 3-rutinoside content, and developed a cyanidin 3-rutinoside prediction model using near-infrared (NIR) spectroscopy combined with partial least squares regression (PLSR). We collected spectral data from
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Registered trials
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