The DOI matches its Crossref record.
Phenolic content and antioxidative capacity of green and white tea extracts depending on extraction conditions and the solvent used
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Citations
Cited by
Chétoui olive leaf extracts: Influence of the solvent type on phenolics and antioxidant activities
Abaza, L., Ben Youssef, N., Manai, H., Mahjoub Haddada, F., Methenni, K., & Zarrouk, M. (2011) · Grasas y Aceites · doi:10.3989/gya.044710 · Cited by 97
Metadata
- Authors
- Rusak, G., Komes, D., Likić, S., Horžić, D., & Kovač, M.
- Venue
- Food Chemistry
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 110
- Issue
- 4
- Pages
- 852-858
- ISSN
- 0308-8146 (ISSN-L)
- OpenAlex
- W2035144866
- Cited by
- 398
- References
- 0
- FWCI
- 10.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- This page
- CoChat. (2026). Citation check: Phenolic content and antioxidative capacity of green and white tea extracts depending on extraction conditions and the solvent used. https://app.cochat.ai/papers/10.1016/j.foodchem.2008.02.072
- The paper
- Rusak, G., Komes, D., Likić, S., Horžić, D., & Kovač, M. (2008). Phenolic content and antioxidative capacity of green and white tea extracts depending on extraction conditions and the solvent used. Food Chemistry. https://doi.org/10.1016/j.foodchem.2008.02.072
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.