The DOI matches its Crossref record.
Determination of Free and Total Phenolic Acids in Plant-Derived Foods by HPLC with Diode-Array Detection
Abstract
A high-performance liquid chromatographic (HPLC) method with diode-array detection (DAD) was used to identify and quantify free and total phenolic acids (m-hydroxybenzoic acid, p-hydroxybenzoic acid, protocatechuic acid, gallic acid, vanillic acid, syringic acid, o-coumaric acid, m-coumaric acid, p-coumaric acid, caffeic acid, ferulic acid, sinapic acid, chlorogenic acid, and ellagic acid) in plant foods. Free phenolic acids were extracted with a mixture of methanol and 10% acetic acid. Bound phenolic acids were liberated using first alkaline and then acid hydrolysis followed by extraction with diethyl ether/ethyl acetate (1:1). All fractions were quantified separately by HPLC. After HPLC quantification, results of alkali and acid hydrolysates were calculated to represent total phenolic acids. Ellagic acid was quantified separately after long (20 h) acid hydrolysis. The methods developed were effective for the determination of phenolic acids in plant foods. DAD response was linear for all phenolic acids within the ranges evaluated, with correlation coefficients exceeding 0.999. Coefficients of variation for 4-8 sample replicates were consistently below 10%. Recovery tests of phenolic acids were performed for every hydrolysis condition using several samples. Recoveries were generally good (mean >90%) with the exceptions of gallic acid and, in some cases, caffeic acid samples.
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
Cited by
Favorable effects of berry consumption on platelet function, blood pressure, and HDL cholesterol
Erlund, I., Koli, R., Alfthan, G., Marniemi, J., Puukka, P., Mustonen, P., Mattila, P., & Jula, A. (2008) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/87.2.323 · Cited by 445
Self-citationCarcinogenicity of deoxycholate, a secondary bile acid
Bernstein, C., Holubec, H., Bhattacharyya, A. K., Nguyen, H., Payne, C. M., Zaitlin, B., & Bernstein, H. (2011) · Archives of Toxicology · doi:10.1007/s00204-011-0648-7 · Cited by 351
Antioxidant evaluation protocols: Food quality or health effects
Becker, E. M., Nissen, L. R., & Skibsted, L. H. (2004) · European Food Research and Technology · doi:10.1007/s00217-004-1012-4 · Cited by 344
Phenolic acids content of fifteen dry edible bean (Phaseolus vulgaris L.) varieties
Luthria, D. L., & Pastor-Corrales, M. A. (2006) · Journal of Food Composition and Analysis · doi:10.1016/j.jfca.2005.09.003 · Cited by 294
Budryn, G., Nebesny, E., Podsędek, A., Żyżelewicz, D., Materska, M., Jankowski, S., & Janda, B. (2009) · European Food Research and Technology · doi:10.1007/s00217-008-1004-x · Cited by 124
Extraction and Isolation of Phenolic Compounds
Santos-Buelga, C., Gonzalez-Manzano, S., Dueñas, M., & Gonzalez-Paramas, A. M. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-624-1_17 · Cited by 117
Sánchez Maldonado, A. F., Mudge, E., Gänzle, M. G., & Schieber, A. (2014) · Food Research International · doi:10.1016/j.foodres.2014.06.018 · Cited by 110
Pacheco-Ordaz, R., Antunes-Ricardo, M., Gutiérrez-Uribe, J., & González-Aguilar, G. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19020514 · Cited by 67
U. Rehman, M., & Sultana, S. (2011) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-011-0881-7 · Cited by 34
Kumar, V., Bansal, A., & Chauhan, R. S. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.00564 · Cited by 31
Ferulic acid – A novel topical agent in reducing signs of photoaging
Zduńska‐Pęciak, K., Dębowska, R., Kołodziejczak, A., & Rotsztejn, H. (2022) · Dermatologic Therapy · doi:10.1111/dth.15543 · Cited by 31
Metadata
- Authors
- Mattila, P., & Kumpulainen, J.
- Venue
- Journal of Agricultural and Food Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-05-24
- Volume
- 50
- Issue
- 13
- Pages
- 3660-3667
- ISSN
- 0021-8561 (ISSN-L)
- 1520-5118
- OpenAlex
- W2036570895
- Cited by
- 456
- References
- 0
- FWCI
- 4.16
- Type
- journal article
- Language
- en
- Open access
- closed
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.