The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Present and Future Challenges in Food Analysis: Foodomics
Open accessAbstract
The state-of-the-art of food analysis at the beginning of the 21st century is presented in this work, together with its major applications, current limitations, and present and foreseen challenges.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Chemical labelling has become a widely employed approach not only in the NPs research, but also in other research fields including proteomics,98,99 food-safety,100,101 forensics,102,103 environmental analysis.104,105”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [100]
Experimental — accuracy not yet measured
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
Human nutrition, the gut microbiome and the immune system
Kau, A. L., Ahern, P. P., Griffin, N. W., Goodman, A. L., & Gordon, J. I. (2011) · Nature · doi:10.1038/nature10213 · Cited by 2,588
Armenta, S., Garrigues, S., & de la Guardia, M. (2008) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2008.05.003 · Cited by 1,213
Applications of solid-phase microextraction in food analysis
Kataoka, H., Lord, H. L., & Pawliszyn, J. B. (2000) · Journal of Chromatography A · doi:10.1016/s0021-9673(00)00309-5 · Cited by 1,127
Visualization of omics data for systems biology
Gehlenborg, N., O’Donoghue, S. I., Baliga, N. S., Goesmann, A., Hibbs, M., Kitano, H., Kohlbacher, O., Neuweger, H., Schneider, R., Tenenbaum, D., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1436 · Cited by 629
Foodomics: MS‐based strategies in modern food science and nutrition
Herrero, M., Simó, C., García‐Cañas, V., Ibáñez, E., & Cifuentes, A. (2011) · Mass Spectrometry Reviews · doi:10.1002/mas.20335 · Cited by 397
Self-citationHajšlová, J., Čajka, T., & Václavík, L. (2010) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2010.11.001 · Cited by 351
Ledoux, M. (2010) · Journal of Chromatography A · doi:10.1016/j.chroma.2010.12.097 · Cited by 286
Use of compressed fluids for sample preparation: Food applications
Mendiola, J. A., Herrero, M., Cifuentes, A., & Ibáñez, E. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2007.02.046 · Cited by 284
Self-citationDetection of pathogens in foods: the current state-of-the-art and future directions
Dwivedi, H. P., & Jaykus, L. (2010) · Critical Reviews in Microbiology · doi:10.3109/1040841x.2010.506430 · Cited by 257
MALDI‐imaging mass spectrometry – An emerging technique in plant biology
Kaspar, S., Peukert, M., Svatoš, A., Matros, A., & Mock, H. (2011) · PROTEOMICS · doi:10.1002/pmic.201000756 · Cited by 228
Flagged first, then by citations
Research works printed but not linked: 1
- Bicchi C., 2011, Flavour Fragrance J., 26, 321
Cited by
Sorted by citations
Stress and defense responses in plant secondary metabolites production
Isah, T. (2019) · Biological Research · doi:10.1186/s40659-019-0246-3 · Cited by 1,492
Recent advances in the application of metabolomics for food safety control and food quality analyses
Li, S., Tian, Y., Jiang, P., Lin, Y., Liu, X., & Yang, H. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1761287 · Cited by 405
Review of methods for analysis of carotenoids
Amorim-Carrilho, K. T., Cepeda, A., Fente, C. A., & Regal, P. (2014) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2013.12.011 · Cited by 314
The unmapped chemical complexity of our diet
Barabási, A.-Ĺ., Menichetti, G., & Loscalzo, J. (2019) · Nature Food · doi:10.1038/s43016-019-0005-1 · Cited by 301
Souza-Silva, É. A., Gionfriddo, E., & Pawliszyn, J. B. (2015) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2015.04.018 · Cited by 290
Metadata
- Authors
- García-Cañas, V., Simó, C., Herrero, M., Ibáñez, E., & Cifuentes, A.
- Affiliations
- Laboratory of Foodomics, CIAL (CSIC), Nicolas Cabrera 9, 28049 Madrid, Spain
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Cifuentes, Alejandro
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-09-19
- Volume
- 84
- Issue
- 23
- Pages
- 10150-10159
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2038805152
- Cited by
- 270
- References
- 44
- Citations by year
- 2026: 10 · 2025: 4 · 2024: 14 · 2023: 16 · 2022: 18 · 2021: 15 · 2020: 32 · 2019: 20 · 2018: 18 · 2017: 25 · 2016: 27 · 2015: 31 · 2014: 19 · 2013: 20 · 2012: 1
- FWCI
- 34.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Analytical Chemistry (publishedVersion)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, other-oa)
- Funders
- Ministerio de Economía y Competitividad (CSD2007-00063)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Food Science › Food Nutrient Composition and Product Development
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
- Keywords
- food analysis, foodomics, food composition, analytical challenges, food quality, food safety
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