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Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images

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Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images. / Pisano, Roberto; Barresi, Antonello A.; Capozzi, Luigi C. et al.
In: Drying Technology, Vol. 35, No. 8, 11.06.2017, p. 933-938.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Pisano, R, Barresi, AA, Capozzi, LC, Novajra, G, Oddone, I & Vitale-Brovarone, C 2017, 'Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images', Drying Technology, vol. 35, no. 8, pp. 933-938. https://doi.org/10.1080/07373937.2016.1222540

APA

Pisano, R., Barresi, A. A., Capozzi, L. C., Novajra, G., Oddone, I., & Vitale-Brovarone, C. (2017). Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images. Drying Technology, 35(8), 933-938. https://doi.org/10.1080/07373937.2016.1222540

Vancouver

Pisano R, Barresi AA, Capozzi LC, Novajra G, Oddone I, Vitale-Brovarone C. Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images. Drying Technology. 2017 Jun 11;35(8):933-938. doi: 10.1080/07373937.2016.1222540

Author

Pisano, Roberto ; Barresi, Antonello A. ; Capozzi, Luigi C. et al. / Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images. In: Drying Technology. 2017 ; Vol. 35, No. 8. pp. 933-938.

Bibtex

@article{99c265274276431b89bcaa3dd93a324a,
title = "Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images",
abstract = "This paper proposes a systematic work process for the rapid determination of resistance to vapor flow given by the products being freeze-dried. This approach couples mathematical modeling and 3D nondestructive X-ray imaging to reconstruct the internal structure of lyophilized samples. Knowledge of the internal structure is fundamental to better understand the relationship between freezing and within-product heterogeneity as well as between freezing and the drying behavior of the product being lyophilized. The method was validated upon mannitol-based formulations using various freezing protocols. This stepwise approach was demonstrated to be helpful to lyophilization professionals for the control of within-product heterogeneity and for the optimization of the cycle.",
keywords = "Freeze-drying, lyophilization, mathematical modeling, micro-computed tomography, resistance to mass transfer",
author = "Roberto Pisano and Barresi, {Antonello A.} and Capozzi, {Luigi C.} and Giorgia Novajra and Irene Oddone and Chiara Vitale-Brovarone",
year = "2017",
month = jun,
day = "11",
doi = "10.1080/07373937.2016.1222540",
language = "English",
volume = "35",
pages = "933--938",
journal = "Drying Technology",
issn = "0737-3937",
publisher = "Taylor and Francis Ltd.",
number = "8",

}

RIS

TY - JOUR

T1 - Characterization of the mass transfer of lyophilized products based on X-ray micro-computed tomography images

AU - Pisano, Roberto

AU - Barresi, Antonello A.

AU - Capozzi, Luigi C.

AU - Novajra, Giorgia

AU - Oddone, Irene

AU - Vitale-Brovarone, Chiara

PY - 2017/6/11

Y1 - 2017/6/11

N2 - This paper proposes a systematic work process for the rapid determination of resistance to vapor flow given by the products being freeze-dried. This approach couples mathematical modeling and 3D nondestructive X-ray imaging to reconstruct the internal structure of lyophilized samples. Knowledge of the internal structure is fundamental to better understand the relationship between freezing and within-product heterogeneity as well as between freezing and the drying behavior of the product being lyophilized. The method was validated upon mannitol-based formulations using various freezing protocols. This stepwise approach was demonstrated to be helpful to lyophilization professionals for the control of within-product heterogeneity and for the optimization of the cycle.

AB - This paper proposes a systematic work process for the rapid determination of resistance to vapor flow given by the products being freeze-dried. This approach couples mathematical modeling and 3D nondestructive X-ray imaging to reconstruct the internal structure of lyophilized samples. Knowledge of the internal structure is fundamental to better understand the relationship between freezing and within-product heterogeneity as well as between freezing and the drying behavior of the product being lyophilized. The method was validated upon mannitol-based formulations using various freezing protocols. This stepwise approach was demonstrated to be helpful to lyophilization professionals for the control of within-product heterogeneity and for the optimization of the cycle.

KW - Freeze-drying

KW - lyophilization

KW - mathematical modeling

KW - micro-computed tomography

KW - resistance to mass transfer

U2 - 10.1080/07373937.2016.1222540

DO - 10.1080/07373937.2016.1222540

M3 - Journal article

AN - SCOPUS:85019147612

VL - 35

SP - 933

EP - 938

JO - Drying Technology

JF - Drying Technology

SN - 0737-3937

IS - 8

ER -