https://m2.mtmt.hu/ hun 2026-10-24 20:45 JournalArticle 35583409 APPROVED true 0 false 2026-09-24T14:45:01.931+0000 2026-01-13T13:52:55.399+0000 2024-11-19T16:23:49.882+0000 true 10083600 Orosz Álmos /api/author/10083600 Author true 2026-01-13T11:45:12.567+0000 2026-01-13T11:45:12.567+0000 true false true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType 101 true 10000059 true 1 /api/category/1 Category true 1 Orosz, Álmos Maximizing similarity: Using correlation coefficients to calibrate kinetic parameters in population balance models true true /api/journal/10057789 REVIEWED true false 10057789 false 10057789 true 2405-8440 Journal FOREIGN 10 22 e39851 e39851 14 2024 Crystallization plays a crucial role as a separation and purification technique, particularly in the chemical and pharmaceutical industries. By adjusting process parameters, the productivity, product quality, and efficiency of downstream processes can be improved. In complex processes, model-based design becomes invaluable. Population Balance Models (PBMs) have successfully aided the chemical industry in achieving more effective production processes for decades. These models can utilize various input data sources to identify the dominant mechanisms and calibrate model parameters. While inline particle monitoring tools serve as excellent qualitative descriptors, challenges arise from experimentation and data interpretation, hindering their direct application in the kinetic parameter estimation of PBMs. In this study, we present a novel approach that utilizes information from inline particle monitoring tools for the kinetic parameter estimation of PBMs, bypassing the associated obstacles. Our pioneering approach relies on offline product size data and the correlation-based utilization of inline particle monitoring information. The paper compares this novel strategy with two parameter estimation techniques: the classical method using solute concentration and product size data and a somewhat naïve approach, which assumes that the inline particle monitoring data can directly be compared with the simulations. The prediction capabilities are evaluated through two in-silico case studies. The results indicate that the precision and predictive capability of the correlation-based technique are comparable to the classical approach, both for noisy data and for a system undergoing significant agglomeration and deagglomeration. The use of Pearson's correlation coefficient yields the best results in the novel cases. These findings in in-silico datasets provide a foundation and motivation for the practical application of this idea, unleashing the so-far hidden model development potential of such measurements. © 2024 The Author(s) 2024 true true true false true false GOLD 2026-09-24 true https://doi.org/10.1016/j.heliyon.2024.e39851 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 9 Q1 false false false false 2025-02-17T16:44:34.916+0000 Kémiai és Környezeti Folyamatmérnöki Tanszék (BME / VBK); Vegyészmérnöki és Biomérnöki Kar (BME) 2 6 2 2 0 true Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 121708084 /api/authorship/121708084 1 0.5 true false false Author 10083600 /api/author/10083600 Orosz Álmos true true Orosz Álmos true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 121708085 /api/authorship/121708085 2 0.5 false true true Author 10044851 /api/author/10044851 Szilágyi Botond true 10044851 true Szilágyi Botond true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 27957843 /api/publicationidentifier/27957843 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true GOLD true IDENTICAL 10.1016/j.heliyon.2024.e39851 https://doi.org/10.1016/j.heliyon.2024.e39851 false true PublicationIdentifier 27957844 /api/publicationidentifier/27957844 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85208764363 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85208764363 false true PublicationIdentifier 27909644 /api/publicationidentifier/27909644 PlainSource 40 /api/publicationsource/40 PublicationSourceType 10006 /api/publicationsourcetype/10006 true true true Egyéb URL Other URL @@@ true true 40 true https://linkinghub.elsevier.com/retrieve/pii/S2405844024158823 https://linkinghub.elsevier.com/retrieve/pii/S2405844024158823 false true SjrRating 11736117 /api/sjrrating/11736117 31 0.24 journal RatingType 10002 /api/ratingtype/10002 sjr true true ClassificationExternal 1000 /api/classificationexternal/1000 true 1000 true Q1 DIRECT true true /api/publication/35583409 <div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10083600"><a href="/gui2/?type=authors&mode=browse&sel=10083600" target="_blank">Orosz Álmos (<span class="authorship-author-name">Orosz Álmos</span> <span class="authorAux-mtmt"> kristályosítás, populációmérleg modellezés</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/<span title="Vegyészmérnöki és Biomérnöki Kar">VBK</span>/Kémiai és Környezeti Folyamatmérnöki Tanszék</span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" mtid="10044851"><a href="/gui2/?type=authors&mode=browse&sel=10044851" target="_blank">Szilágyi Botond ✉ (<span class="authorship-author-name">Szilágyi Botond</span> <span class="authorAux-mtmt"> Folyamatmérnök, vegyészmérnök</span>) </a> </span> <span class="author-affil"><span title="Budapesti Műszaki és Gazdaságtudományi Egyetem">BME</span>/Vegyészmérnöki és Biomérnöki Kar</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;35583409" target="_blank">Maximizing similarity: Using correlation coefficients to calibrate kinetic parameters in population balance models</a></div> <div> <span class="journal-title">HELIYON</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2405-8440">2405-8440</a>)</span>: <span class="journal-volume">10</span> <span class="journal-issue">22</span> <span class="page"> Paper e39851. 14 p. </span> <span class="year">(2024)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.1016/j.heliyon.2024.e39851" target="_blank" href="https://doi.org/10.1016/j.heliyon.2024.e39851"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85208764363" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85208764363"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://linkinghub.elsevier.com/retrieve/pii/S2405844024158823" target="_blank" href="https://linkinghub.elsevier.com/retrieve/pii/S2405844024158823"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Multidisciplinary&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q1</div> </div></OnlyViewableByAuthor> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;35583409&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 9 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 35583409</span> | <span class="status-data status-APPROVED"> Nyilvános </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">RIS-Egyéb</span> </div> <div class="lastModified">Utolsó módosítás: 2026.01.13. 14:52 Pécsi Éva (MTMT Közp 2,3, admin) </div> </div></div>