ArticleCurrent research in food science2022
Enhancing the bioaccessibility of lycopene from tomato processing byproducts via supercritical carbon dioxide extraction.
Article in Current research in food science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Optimization of fermentation parameters for the valorization of tomato pomace into biomass to produce single cell protein using Saccharomyces cerevisiae.Bioresources and bioprocessing · 2026Article
- Extraction of Lycopene from Tomato Peels Using Supercritical Carbon Dioxide and Conjugation of the Extracted Lycopene with TiOACS omega · 2026Article
- Utilization of Turmeric Leaf Phenolic Extracts as Natural Antioxidants in Emulsion Systems.Foods (Basel, Switzerland) · 2026Article
- Tomato Residue Management from a Biorefinery Perspective and towards a Circular Economy.Foods (Basel, Switzerland) · 2024Review
- Extraction of phenolic compounds from rice husk via ethanol-water-modified supercritical carbon dioxide.Heliyon · 2023Article
- A Comprehensive Overview of Tomato Processing By-Product Valorization by Conventional Methods versus Emerging Technologies.Foods (Basel, Switzerland) · 2022Review
- Valorization of Tomato Seed By-Products as a Source of Fatty Acids and Bioactive Compounds by Using Advanced Extraction Techniques.Foods (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tomato peel and seed from tomato processing industry are treated as waste; however, they contain lycopene, a high-value bioactive compound. In this study, lycopene was extracted from tomato peel and seed using supercritical carbon dioxide (SC-CO
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.