FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034700596> ?p ?o ?g. }

• W2034700596 endingPage "235" @default.
• W2034700596 startingPage "225" @default.
• W2034700596 abstract "Abstract The successful implementation of a scheduled thermal process is of paramount importance in ensuring the safety of heat processed foods. It is therefore important to consider all associated critical factors and their relative importance in process calculations. The objectives of this study were (i) to evaluate the relative order of importance of different critical control variables with respect to process calculations and (ii) to develop predictive models to compensate for their deviations. The critical variables studied were: retort temperature (RT), initial temperature (Ti), cooling water temperature (Tw), heating rate index (fh), heating lag factor (jh) and cooling lag factor (jc). Their ranges of deviation from a set point were selected as −2 to 2 °C for RT, −5 to 5 °C for both Tw and Ti, −2 to 2 min for fh, and −0.2 to 0.2 for both jc and jh. Artificial neural network (ANN) models were developed and used for analysis of different critical variables with respect to their importance on the accumulated lethality (F), process time (PT), cooling time (CT), and total time (TT) under the given processing conditions. The results indicated that within the deviation ranges, the relative order of importance of critical variables were as follows: for F, RT >f h >j h >T i T w >T i >T i f h > RT T i >j c > RT j h ; for PT, RT>fh≫jh>Ti>jc>TiTw; for CT, jc>Tw>fh; for TT, RT>fh>jh>jc>Tw>Ti>Tijc>TiTw. When the desired F value was set at 6±0.5 min, the maximum acceptable deviation ranges of different variables were: ±0.3 °C for RT, ±4 °C for Ti, ±0.1 for jh, ±0.8, ±1, ±1.2 min for fh at fh=20, 40, 60 min, respectively, and ±0.4 for jc. Finally, the combination effect of deviation of multiple variables on F, PT and CT were analyzed. ANN models could be effectively used for identification of critical control points, and for correcting process deviations, both important from the point of view of implementation of HACCP approach in thermal processing." @default.
• W2034700596 created "2016-06-24" @default.
• W2034700596 creator A5040547649 @default.
• W2034700596 creator A5066675759 @default.
• W2034700596 date "2003-05-01" @default.
• W2034700596 modified "2023-10-11" @default.
• W2034700596 title "Analysis of critical control points in deviant thermal processes using artificial neural networks" @default.
• W2034700596 cites W1988000418 @default.
• W2034700596 cites W1995341919 @default.
• W2034700596 cites W1998861744 @default.
• W2034700596 cites W2006735272 @default.
• W2034700596 cites W2007681046 @default.
• W2034700596 cites W2008680578 @default.
• W2034700596 cites W2010468106 @default.
• W2034700596 cites W2011386819 @default.
• W2034700596 cites W2015043754 @default.
• W2034700596 cites W2032180705 @default.
• W2034700596 cites W2060279468 @default.
• W2034700596 cites W2068241934 @default.
• W2034700596 cites W2077827146 @default.
• W2034700596 cites W2093460849 @default.
• W2034700596 cites W2114903657 @default.
• W2034700596 cites W2559367615 @default.
• W2034700596 doi "https://doi.org/10.1016/s0260-8774(02)00301-1" @default.
• W2034700596 hasPublicationYear "2003" @default.
• W2034700596 type Work @default.
• W2034700596 sameAs 2034700596 @default.
• W2034700596 citedByCount "16" @default.
• W2034700596 countsByYear W20347005962012 @default.
• W2034700596 countsByYear W20347005962013 @default.
• W2034700596 countsByYear W20347005962014 @default.
• W2034700596 countsByYear W20347005962015 @default.
• W2034700596 countsByYear W20347005962016 @default.
• W2034700596 countsByYear W20347005962018 @default.
• W2034700596 crossrefType "journal-article" @default.
• W2034700596 hasAuthorship W2034700596A5040547649 @default.
• W2034700596 hasAuthorship W2034700596A5066675759 @default.
• W2034700596 hasConcept C154945302 @default.
• W2034700596 hasConcept C186060115 @default.
• W2034700596 hasConcept C2775924081 @default.
• W2034700596 hasConcept C41008148 @default.
• W2034700596 hasConcept C50644808 @default.
• W2034700596 hasConcept C86803240 @default.
• W2034700596 hasConceptScore W2034700596C154945302 @default.
• W2034700596 hasConceptScore W2034700596C186060115 @default.
• W2034700596 hasConceptScore W2034700596C2775924081 @default.
• W2034700596 hasConceptScore W2034700596C41008148 @default.
• W2034700596 hasConceptScore W2034700596C50644808 @default.
• W2034700596 hasConceptScore W2034700596C86803240 @default.
• W2034700596 hasIssue "3" @default.
• W2034700596 hasLocation W20347005961 @default.
• W2034700596 hasOpenAccess W2034700596 @default.
• W2034700596 hasPrimaryLocation W20347005961 @default.
• W2034700596 hasRelatedWork W1987591823 @default.
• W2034700596 hasRelatedWork W2159443810 @default.
• W2034700596 hasRelatedWork W2360844719 @default.
• W2034700596 hasRelatedWork W2374133074 @default.
• W2034700596 hasRelatedWork W2386387936 @default.
• W2034700596 hasRelatedWork W3001020386 @default.
• W2034700596 hasRelatedWork W3107474891 @default.
• W2034700596 hasRelatedWork W4362499384 @default.
• W2034700596 hasRelatedWork W644753246 @default.
• W2034700596 hasRelatedWork W1629725936 @default.
• W2034700596 hasVolume "57" @default.
• W2034700596 isParatext "false" @default.
• W2034700596 isRetracted "false" @default.
• W2034700596 magId "2034700596" @default.
• W2034700596 workType "article" @default.