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Pregled bibliografske jedinice broj: 1203294

Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control


Bolf, N.; Gavran, M.; Sacher, J.; Vrban, I.; Žlabravec, V.; Dorić, H.
Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control // Book of Abstract, 4th International Congress of Chemists and Chemical Engineering of Bosnia and Herzegovina, Special Issue of Bulletin of the Chemists and Technologists of Bosnia and Herzegovina / Topčagić, A. ; Ostojić, J. (ur.).
Sarajevo: Society of Chemists and Technologist of Canton Sarajevo, 2022. str. 15-15 (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1203294 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control

Autori
Bolf, N. ; Gavran, M. ; Sacher, J. ; Vrban, I. ; Žlabravec, V. ; Dorić, H.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstract, 4th International Congress of Chemists and Chemical Engineering of Bosnia and Herzegovina, Special Issue of Bulletin of the Chemists and Technologists of Bosnia and Herzegovina / Topčagić, A. ; Ostojić, J. - Sarajevo : Society of Chemists and Technologist of Canton Sarajevo, 2022, 15-15

Skup
4th International Congress of Chemists and Chemical Engineers of Bosnia and Herzegovina (ICCCEB&H 2022)

Mjesto i datum
Sarajevo, Bosna i Hercegovina, 30.06.2022. - 02.07.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
crystallization, process analytical technology, neural network, active pharmaceutical ingredients, calibration model

Sažetak
With the technological advancement in the last decade process analytical technology (PAT) is intensively developed with the purpose of monitoring of the key process variables in real- time. PAT tools have opened up new possibilities for improving process performance. The benefits of this approach are products of predefined properties, higher batch production reproducibility and high quality in a series of batch using concept of Quality by design (QbD) and Quality by control (QbC). The crystallization process is of the greatest importance in the pharmaceutical production. The purpose of this research is to develop a system that enables the continuous monitoring and optimal crystallization process control. Based on a calibration model for monitoring the concentration of solute, continuous process monitoring and advanced process control strategy maintain optimal conditions and products of desired critical quality attributes. Neural networks-based calibration models were developed to model the dependence of concentration of an active pharmaceutical ingredient on temperature and spectral data obtained by UV-Vis measurements. The best-performing model was developed for a reduced data-set (800-200 nm) with 20 neurons and tangent- hyperbolic transfer function. Developed models will be used for continuously monitoring of the active pharmaceutical ingredient (API) in the crystallization system.

Izvorni jezik
Engleski

Znanstvena područja
Kemija, Kemijsko inženjerstvo



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.1.1.07.0017 - Napredno vođenje procesa kristalizacije (CrystAPC) (Bolf, Nenad, EK - KK.01.1.1.07) ( CroRIS)

Ustanove:
Fakultet kemijskog inženjerstva i tehnologije, Zagreb,
PLIVA HRVATSKA d.o.o.

Profili:

Avatar Url Ivan Vrban (autor)

Avatar Url Hrvoje Dorić (autor)

Avatar Url Nenad Bolf (autor)

Avatar Url Matea Gavran (autor)

Avatar Url Josip Sacher (autor)


Citiraj ovu publikaciju:

Bolf, N.; Gavran, M.; Sacher, J.; Vrban, I.; Žlabravec, V.; Dorić, H.
Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control // Book of Abstract, 4th International Congress of Chemists and Chemical Engineering of Bosnia and Herzegovina, Special Issue of Bulletin of the Chemists and Technologists of Bosnia and Herzegovina / Topčagić, A. ; Ostojić, J. (ur.).
Sarajevo: Society of Chemists and Technologist of Canton Sarajevo, 2022. str. 15-15 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Bolf, N., Gavran, M., Sacher, J., Vrban, I., Žlabravec, V. & Dorić, H. (2022) Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control. U: Topčagić, A. & Ostojić, J. (ur.)Book of Abstract, 4th International Congress of Chemists and Chemical Engineering of Bosnia and Herzegovina, Special Issue of Bulletin of the Chemists and Technologists of Bosnia and Herzegovina.
@article{article, author = {Bolf, N. and Gavran, M. and Sacher, J. and Vrban, I. and \v{Z}labravec, V. and Dori\'{c}, H.}, year = {2022}, pages = {15-15}, keywords = {crystallization, process analytical technology, neural network, active pharmaceutical ingredients, calibration model}, title = {Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control}, keyword = {crystallization, process analytical technology, neural network, active pharmaceutical ingredients, calibration model}, publisher = {Society of Chemists and Technologist of Canton Sarajevo}, publisherplace = {Sarajevo, Bosna i Hercegovina} }
@article{article, author = {Bolf, N. and Gavran, M. and Sacher, J. and Vrban, I. and \v{Z}labravec, V. and Dori\'{c}, H.}, year = {2022}, pages = {15-15}, keywords = {crystallization, process analytical technology, neural network, active pharmaceutical ingredients, calibration model}, title = {Development of Calibration Models using Process Analytical Technology for Advanced Crystallization Process Control}, keyword = {crystallization, process analytical technology, neural network, active pharmaceutical ingredients, calibration model}, publisher = {Society of Chemists and Technologist of Canton Sarajevo}, publisherplace = {Sarajevo, Bosna i Hercegovina} }




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