Publication
Determination of moisture content in lyophilized mannitol through intact glass vials using NIR micro-spectrometers
| Summary: | Determination of moisture content in lyophilized solids is fundamental to predict quality and stability of freeze-dried products, but conventional methods are time-consuming, invasive and destructive. The aim of this study was to develop and optimize a fast, inexpensive, noninvasive and nondestructive method for determination of moisture content in lyophilized mannitol, based on an NIR micro-spectrometer instead of a conventional NIR spectrometer. Measurements of lyophilized mannitol were performed through the bottom of rotating glass vials by means of a reflectance probe. The root mean standard error of prediction (RMSEP) and the correlation coefficient (R²pred), yielded by the pre-treatments and calibration method proposed, was 0.233% (w/w) and 0.994, respectively. |
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| Main Authors: | Muzzio, Cristian Rodrigo |
| Other Authors: | Dini, Nicolás Gabriel; Simionato, Laura Daniela |
| Subject: | Espectroscopia de infravermelho próximo Liofilização Análise multivariada Análise de unidade Manitol Microespectrômetro Near-infrared spectroscopy Lyophilization Multivariate analysis Moisture content Mannitol Micro-spectrometer |
| Year: | 2011 |
| Country: | Brazil |
| Document type: | article |
| Access type: | unknown |
| Associated institution: | IBICT |
| Language: | English |
| Origin: | Oasisbr |
| Summary: | Determination of moisture content in lyophilized solids is fundamental to predict quality and stability of freeze-dried products, but conventional methods are time-consuming, invasive and destructive. The aim of this study was to develop and optimize a fast, inexpensive, noninvasive and nondestructive method for determination of moisture content in lyophilized mannitol, based on an NIR micro-spectrometer instead of a conventional NIR spectrometer. Measurements of lyophilized mannitol were performed through the bottom of rotating glass vials by means of a reflectance probe. The root mean standard error of prediction (RMSEP) and the correlation coefficient (R²pred), yielded by the pre-treatments and calibration method proposed, was 0.233% (w/w) and 0.994, respectively. |
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