Two types of inulins of different composition were investigated in the glassy and in the crystalline states, at relative humidities within 11 and 97%. The melting and glass transition temperatures (Tm, Tg), and their crystallinity indexes (CI) were determined by modulated differential-scanning calorimetry (MDSC) and wide-angle X-ray scattering (WAXS), respectively. In parallel assays, Fourier transform-infrared spectroscopy (FTIR) coupled to principal component analysis (PCA) enabled a physical-chemical and structural characterization of samples, explaining 90% of the total variance. Finally, partial least square (PLS) models were defined to determine Tg, Tm, and CI directly from the FTIR spectra, using the MDSC and WAXS results as reference methods. In all cases, the mean of predicted values fitted very well those of the reference methods (R > 0.961), thus supporting the use of the PLS models to investigate unknown samples. The robustness of the models underlines the usefulness of FTIR to easily determine physical-chemical parameters, otherwise requiring complex preparation of samples and prolonged times of analysis.
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http://dx.doi.org/10.1016/j.foodres.2018.04.032 | DOI Listing |
Biotechnol Bioeng
January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.
View Article and Find Full Text PDFBMC Psychol
January 2025
Management Department, College of Business, King Saud University, Riyadh, Saudi Arabia.
Purpose: The present study aimed to analyze the effectiveness of external and personal regulatory mechanisms in reducing procrastination behavior among university students. For this purpose, the role of teachers' academic motivation is worthwhile in shaping the learning environment and reducing procrastination, with a focus on the mediating roles of emotion regulation and study habits considered imperative.
Research Design/method: By employing a quantitative, cross-sectional research design, data were collected from a sample of 210 teachers working in universities located in Multan-Pakistan via convenient sampling, yielding a usable response rate of 70.
BMC Psychol
January 2025
School of Public Administration and Policy, Dalian University of Technology, Linggong Road NO. 2, Ganjingzi District, Dalian, 116024, Liaoning, China.
This study examines the interplay between humble teacher leadership and student creative process engagement, grounded in Social Exchange Theory and Self-Determination Theory. Additionally, it analyzes the sequential mediating roles of student trust and psychological empowerment, as well as the moderating effect of proactive personality. Data were collected at three time points from 384 participants across Chinese universities and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with Smart PLS 4.
View Article and Find Full Text PDFSci Rep
January 2025
Fischell Department of Bioengineering, University of Maryland, College Park, USA.
The development of optical sensors for label-free quantification of cell parameters has numerous uses in the biomedical arena. However, using current optical probes requires the laborious collection of sufficiently large datasets that can be used to calibrate optical probe signals to true metabolite concentrations. Further, most practitioners find it difficult to confidently adapt black box chemometric models that are difficult to troubleshoot in high-stakes applications such as biopharmaceutical manufacturing.
View Article and Find Full Text PDFEur J Pharm Biopharm
January 2025
Duquesne University Graduate School for Pharmaceutical Sciences, Pittsburgh, PA 15282, United States; Duquesne Center for Pharmaceutical Technology, Duquesne University, Pittsburgh, PA 15282, United States. Electronic address:
The adoption of pure component models, such as iterative optimization technology (IOT) algorithms, is gaining significant interest in the pharmaceutical industry, primarily because of their calibration-free/minimal calibration requirements for process analytical technology applications. The IOT methods have recently demonstrated great potential for monitoring the quality of continuous powder mixtures by Near-infrared (NIR) spectroscopy. However, the dynamic conditions of continuous manufacturing processes may limit the effectiveness of such approaches.
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