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Object |
contentType |
Journal Article|Research Support, Non-U.S. Gov't |
endingPage |
389 |
issn |
1613-4133 1613-4125 |
issueIdentifier |
4 |
pageRange |
383-389 |
publicationName |
Molecular Nutrition & Food Research |
startingPage |
383 |
bibliographicCitation |
Serpen A, Gökmen V. Modeling of acrylamide formation and browning ratio in potato chips by artificial neural network. Mol Nutr Food Res. 2007 Apr;51(4):383–9. doi: 10.1002/mnfr.200600121. PMID: 17357985. |
creator |
http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_4c62b9a6a9e1319001ed00965e5994f4 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_469dc43de523b9a51b157ded999748a2 |
date |
2007-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
identifier |
https://doi.org/10.1002/mnfr.200600121 https://pubmed.ncbi.nlm.nih.gov/17357985 |
isPartOf |
https://portal.issn.org/resource/ISSN/1613-4125 https://portal.issn.org/resource/ISSN/1613-4133 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/32150 |
language |
English |
source |
https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/ |
title |
Modeling of acrylamide formation and browning ratio in potato chips by artificial neural network |
discusses |
http://id.nlm.nih.gov/mesh/M0029842 http://id.nlm.nih.gov/mesh/M0003360 http://id.nlm.nih.gov/mesh/M0001818 |
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hasSubjectTerm |
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discussesAsDerivedByTextMining |
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