Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/43035
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu , Min | - |
dc.contributor.author | Di Caprio , Ulderico | - |
dc.contributor.author | Van der Ha, Olivier | - |
dc.contributor.author | Metten, Bert | - |
dc.contributor.author | De Clercq , Dries | - |
dc.contributor.author | Elmaz, Furkan | - |
dc.contributor.author | Mercelis, Siegfried | - |
dc.contributor.author | Hellinckx, Peter | - |
dc.contributor.author | BRAEKEN, Leen | - |
dc.contributor.author | Vermeire, Florence | - |
dc.contributor.author | Leblebici , M. Enis | - |
dc.date.accessioned | 2024-06-03T10:58:22Z | - |
dc.date.available | 2024-06-03T10:58:22Z | - |
dc.date.issued | 2024 | - |
dc.date.submitted | 2024-06-03T10:47:06Z | - |
dc.identifier.citation | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 248 (Art N° 105119) | - |
dc.identifier.uri | http://hdl.handle.net/1942/43035 | - |
dc.description.abstract | Raman spectroscopy represents an advanced process analytical technology to monitor and control chemical and biochemical processes. This study presents an autoencoder-based methodology that simulates Raman spectra from process variables and predicts the concentrations of different chemicals. The methodology accurately predicts concentrations from the spectra, even considering the temperature influences, and can work as an anomaly detector in process monitoring. The proposed methodology has significant implications for the optimization of industrial processes, improving process efficiency, reducing waste, and minimizing costs. It can also be extended to other industrial processes and imaging spectroscopy techniques, making it a valuable tool for process monitoring. This study highlights the effectiveness of autoencoders in simulating spectra and quantitative analysis, contributing significantly to the field of process monitoring. It has the potential to revolutionize industrial process monitoring and optimization, leading to substantial improvements in productivity and sustainability. | - |
dc.description.sponsorship | This work was supported by the funding from VLAIO, DAP2 CHEM: Real-time data-assisted process development and production in chemical applications (HBC.2020.2455). | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2024 Elsevier B.V. All rights reserved. | - |
dc.subject.other | Raman spectra simulation | - |
dc.subject.other | Autoencoder | - |
dc.subject.other | Chemical process monitoring | - |
dc.subject.other | Calibration model | - |
dc.subject.other | Quantitative analysis | - |
dc.title | Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 248 | - |
local.format.pages | 10 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Leblebici, ME (corresponding author), Katholieke Univ Leuven, Ctr Ind Proc Technol, Agoralaan Bldg B, B-3590 Diepenbeek, Belgium. | - |
dc.description.notes | muminenis.leblebici@kuleuven.be | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 105119 | - |
dc.identifier.doi | 10.1016/j.chemolab.2024.105119 | - |
dc.identifier.isi | 001215079900001 | - |
local.provider.type | wosris | - |
local.description.affiliation | [Wu, Min; Di Caprio, Ulderico; Braeken, Leen; Leblebici, M. Enis] Katholieke Univ Leuven, Ctr Ind Proc Technol, Agoralaan Bldg B, B-3590 Diepenbeek, Belgium. | - |
local.description.affiliation | [Van der Ha, Olivier; Metten, Bert; De Clercq, Dries] Ajinomoto Biopharm Serv, Cooppallaan 91, B-9230 Wetteren, Belgium. | - |
local.description.affiliation | [Elmaz, Furkan; Mercelis, Siegfried] Univ Antwerp, Fac Appl Engn, IDLab, Imec, Sint Pietersvliet 7, B-2000 Antwerp, Belgium. | - |
local.description.affiliation | [Hellinckx, Peter] Univ Antwerp, Fac Appl Engn, Groenenborgerlaan 171, B-2000 Antwerp, Belgium. | - |
local.description.affiliation | [Vermeire, Florence] Chem Reactor Engn & Safety, KU Leuven, Celestijnenlaan 200f Box 2424, B-3001 Leuven, Belgium. | - |
local.uhasselt.international | no | - |
item.fulltext | With Fulltext | - |
item.contributor | Wu , Min | - |
item.contributor | Di Caprio , Ulderico | - |
item.contributor | Van der Ha, Olivier | - |
item.contributor | Metten, Bert | - |
item.contributor | De Clercq , Dries | - |
item.contributor | Elmaz, Furkan | - |
item.contributor | Mercelis, Siegfried | - |
item.contributor | Hellinckx, Peter | - |
item.contributor | BRAEKEN, Leen | - |
item.contributor | Vermeire, Florence | - |
item.contributor | Leblebici , M. Enis | - |
item.accessRights | Restricted Access | - |
item.fullcitation | Wu , Min; Di Caprio , Ulderico; Van der Ha, Olivier; Metten, Bert; De Clercq , Dries; Elmaz, Furkan; Mercelis, Siegfried; Hellinckx, Peter; BRAEKEN, Leen; Vermeire, Florence & Leblebici , M. Enis (2024) Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders. In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 248 (Art N° 105119). | - |
crisitem.journal.issn | 0169-7439 | - |
crisitem.journal.eissn | 1873-3239 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Simulation and quantitative analysis of Raman spectra in chemical processes with autoencoders.pdf Restricted Access | Published version | 2.69 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.