Journal ArticleDOI
A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies.
TLDR
This review focuses on chemometric techniques and pharmaceutical NIRS applications, covering qualitative analyses, quantitative methods and on-line applications for near-infrared spectroscopy for pharmaceutical forms.About:
This article is published in Journal of Pharmaceutical and Biomedical Analysis.The article was published on 2007-07-27. It has received 1041 citations till now.read more
Citations
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Journal ArticleDOI
Monitoring the ex-vivo expansion of human mesenchymal stem/stromal cells in xeno-free microcarrier-based reactor systems by MIR spectroscopy.
Filipa Rosa,Kevin C. Sales,Joana G. Carmelo,Ana Fernandes-Platzgummer,Cláudia Lobato da Silva,Marta B. Lopes,Cecília R.C. Calado +6 more
TL;DR: This work evaluates the use of mid‐infrared (MIR) spectroscopy, through rapid and economic high‐throughput analyses associated to multivariate data analysis, to monitor three different MSCs cultivation runs conducted in spinner flasks, under xeno‐free culture conditions, which differ in the type of microcarriers used and the culture feeding strategy applied.
Journal ArticleDOI
Identification of Genuine and Adulterated Pinellia ternata by Mid-Infrared (MIR) and Near-Infrared (NIR) Spectroscopy with Partial Least Squares - Discriminant Analysis (PLS-DA)
TL;DR: In this paper, the authors used spectroscopy techniques for the rapid identification of traditional Chinese medicine because they provide chemical information with no sample preparation and can be used to identify traditional Chinese medicines.
Journal ArticleDOI
Near-infrared spectroscopy in upstream bioprocesses
TL;DR: A broad range of possible applications of NIRS are presented, forming in its entirety a valuable toolbox for process risk mitigation and regulatory aspects in implementation, calibration and validation of NirS instrumentation and models are discussed.
Journal ArticleDOI
Applications of Artificial Intelligence and Machine Learning Algorithms to Crystallization.
Christos Xiouras,Fabio Cameli,Gustavo Lunardon Quilló,Mihail E Kavousanakis,Dionisios G. Vlachos,Georgios D. Stefanidis +5 more
TL;DR: This review aims to present, for the first time, a holistic overview of machine learning and cheminformatics applications as a novel, powerful means to accelerate the discovery of new crystal structures, predict key properties of organic crystalline materials, simulate, understand, and control the dynamics of complex crystallization process systems, as well as contribute to high throughput automation of chemical process development involving crystalline Materials.
Journal ArticleDOI
A nondestructive and noninvasive method to determine water content in lyophilized proteins using low‐field time‐domain NMR
TL;DR: The aim of this study was to develop a fast, noninvasive, nondestructive, and inexpensive method for determining the moisture content in a lyophilized monoclonal antibody (mAb) formulation using benchtop low‐field time‐domain nuclear magnetic resonance spectroscopy.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Classification and Regression Trees.
Book
Classification and regression trees
TL;DR: The methodology used to construct tree structured rules is the focus of a monograph as mentioned in this paper, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.
Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.