The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
The effect of cooking on the phytochemical content of vegetables
Open accessAbstract
Cooking induces many chemical and physical modifications in foods; among these the phytochemical content can change. Many authors have studied variations in vegetable nutrients after cooking, and great variability in the data has been reported. In this review more than 100 articles from indexed scientific journals were considered in order to assess the effect of cooking on different phytochemical classes. Changes in phytochemicals upon cooking may result from two opposite phenomena: (1) thermal degradation, which reduces their concentration, and (2) a matrix softening effect, which increases the extractability of phytochemicals, resulting in a higher concentration with respect to the raw material. The final effect of cooking on phytochemical concentration depends on the processing parameters, the structure of food matrix, and the chemical nature of the specific compound. Looking at the different cooking procedures it can be concluded that steaming will ensure better preservation/extraction yield of phenols and glucosinolates than do other cooking methods: steamed tissues are not in direct contact with the cooking material (water or oil) so leaching of soluble compounds into water is minimised and, at the same time, thermal degradation is limited. Carotenoids showed a different behaviour; a positive effect on extraction and the solubilisation of carotenes were reported after severe processing. © 2013 Society of Chemical Industry
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Polyphenols: Food sources and bioavailability
Manach, C., Scalbert, A., Morand, C., Rémésy, C., & Jiménez, L. (2004) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/79.5.727 · Cited by 8,175
Boerjan, W., Ralph, J., & Baucher, M. (2003) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.54.031902.134938 · Cited by 4,504
Polyphenols: Chemistry, dietary sources, metabolism, and nutritional significance
Bravo, L. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.1998.tb01670.x · Cited by 4,030
Advances in flavonoid research since 1992
Harborne, J. B., & Williams, C. A. (2000) · Phytochemistry · doi:10.1016/s0031-9422(00)00235-1 · Cited by 3,956
The chemical diversity and distribution of glucosinolates and isothiocyanates among plants
Fahey, J. W., Zalcmann, A. T., & Talalay, P. (2001) · Phytochemistry · doi:10.1016/s0031-9422(00)00316-2 · Cited by 2,964
BIOLOGY AND BIOCHEMISTRY OF GLUCOSINOLATES
Halkier, B. A., & Gershenzon, J. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105228 · Cited by 2,271
D IETARY F LAVONOIDS: Bioavailability, Metabolic Effects, and Safety
Ross, J. A., & Kasum, C. M. (2002) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.22.111401.144957 · Cited by 2,151
Delgado-Vargas, F., Jiménez, A. R., & Paredes-López, O. (2000) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408690091189257 · Cited by 1,421
Phenolic Acids in Foods: An Overview of Analytical Methodology
Robbins, R. J. (2003) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf026182t · Cited by 1,413
Wu, X., Beecher, G. R., Holden, J. M., Haytowitz, D. B., Gebhardt, S. E., & Prior, R. L. (2006) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf060300l · Cited by 1,191
Cited by
Ribas-Agustí, A., Martín-Belloso, O., Soliva-Fortuny, R., & Elez-Martínez, P. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2017.1331200 · Cited by 373
Analysis of alkaloids (indole alkaloids, isoquinoline alkaloids, tropane alkaloids)
Dey, P., Kundu, A., Kumar, A., Gupta, M., Lee, B. M., Bhakta, T., Dash, S., & Kim, H. S. (2020) · Recent Advances in Natural Products Analysis · doi:10.1016/b978-0-12-816455-6.00015-9 · Cited by 346
Food Design To Feed the Human Gut Microbiota
Ercolini, D., & Fogliano, V. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b00456 · Cited by 146
Self-citationCreedon, A. C., Hung, E. S., Berry, S. E., & Whelan, K. (2020) · Nutrients · doi:10.3390/nu12082347 · Cited by 75
Metadata
- Authors
- Palermo, M., Pellegrini, N., & Fogliano, V.
- Venue
- Journal of the Science of Food and Agriculture
- Publisher
- Wiley
- Published
- 2013-12-13
- Volume
- 94
- Issue
- 6
- Pages
- 1057-1070
- ISSN
- 0022-5142 (ISSN-L)
- 1097-0010
- OpenAlex
- W2168056739
- Cited by
- 401
- References
- 126
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.