Pregled bibliografske jedinice broj: 1281337
Use of Process Analytical Technology for Monitoring Supersaturation During Cooling Crystallization of Pharmaceuticals
Use of Process Analytical Technology for Monitoring Supersaturation During Cooling Crystallization of Pharmaceuticals // EuroPACT2023
Kopenhagen, Danska, 2023. str. 1-1 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1281337 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Use of Process Analytical Technology for
Monitoring Supersaturation During Cooling
Crystallization of Pharmaceuticals
Autori
Sacher, Josip ; Gavran, Matea ; Bolf, Nenad ; Ujević Andrijić, Željka
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Skup
EuroPACT2023
Mjesto i datum
Kopenhagen, Danska, 07.05.2023. - 10.05.2023
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Crystallization, Pharmaceuticals
Sažetak
Batch cooling crystallization is a widely employed unit operation in chemical engineering because it can separate and purify the product in a single step. It is used to produce food, chemicals, pharmaceuticals, and many high-value-added products. In the pharmaceutical industry, more than 90 % of active pharmaceutical ingredients (API) require crystallization in at least one step of the production process. To design a process, it is necessary to know the concentration of the slurry during crystallization. Process analytical technology can be used to measure the high concentration of solutions and is an inexpensive and reliable source of analytical information. In this work, a calibration model was developed by dissolving different amounts of the active pharmaceutical ingredient (Mr < 600 g/mol) in the solvent. The concentration range used for data collection was selected to cover the possible concentration range during cooling crystallization. The solutions were linearly cooled while the temperature and in-situ ATR-FTIR spectra were recorded. The recorded spectra were preprocessed using different techniques to determine which combination gives the best results. The region with the largest differences between the spectra was taken to develop the partial least squares (PLS) regression model. In addition, the artificial neural network (ANN) model was developed for comparison with the PLS model. The results indicate that the PLS and ANN models have similar performance and can be used to monitor the concentration of the active pharmaceutical ingredient during crystallization.
Izvorni jezik
Engleski
Znanstvena područja
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
Profili:
Željka Ujević Andrijić
(autor)
Nenad Bolf
(autor)
Matea Gavran
(autor)
Josip Sacher
(autor)