Determination of flow properties of pharmaceutical powders by near infrared spectroscopy

Sarraguça, Mafalda C.; Cruz, Ana Rita; Soares, S.; Amaral, Maria Helena; Costa, Paulo; Lopes, João A.

doi:10.1016/j.jpba.2010.01.038

Cited by 66 publications

(26 citation statements)

References 30 publications

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“…[16] The second derivative can reduce the correlation between variables in hyperspectral images greatly. [17] SNV is used to correct spectral errors caused by particle scattering in samples.…”

Section: Data Extraction and Preprocessingmentioning

confidence: 99%

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Zhang

2018

International Journal of Food Properties

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Hyperspectral imaging technique (400-1000 nm) was used for rapid and nondestructive recognition of bruises of apples. A total of 324 hyperspectral images were collected from 108 Fuji apples and the average spectral reflectance was extracted from the region of interest (ROI) of each image. The classification results of AdaBoost for the data pretreated by various existing methods were compared. Then, the correlation-based feature selection (CFS) algorithm was used to obtain characteristic wavelengths for reducing data redundancy. After pretreating with multiplicative scatter correction (MSC) and CFS, the average accuracy of the selected wavelengths was 97.63%. Then, an image processing algorithm based on the characteristic wavelengths selected before was proposed for the visual discrimination of bruises. This algorithm performed independent component analysis (ICA) transformation of the selected wavelengths, and chose the third component image of the ICA transform, then used adaptive threshold segmentation to obtain the bruise region of apples. The results showed that hyperspectral imaging technology could discriminate apple bruise, and this study can help to develop an online apple bruises detection system. ARTICLE HISTORY

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Section: Data Extraction and Preprocessingmentioning

confidence: 99%

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Zhang

2018

International Journal of Food Properties

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“…NIRS is nowadays used to determine a large panel of physical parameters on powders and tablets. Various biopharmaceutical parameters can be quantitatively analyzed by NIRS, such as hardness (for instance, tablet hardness [77]), particle size [78][79][80], compaction force, flow properties [81] and dissolution rate [82,83].…”

Section: Physical Parametersmentioning

confidence: 99%

Near Infrared Spectroscopy in Drug Discovery and Development Processes

Roggo¹,

Dégardin²,

Ulmschneider³

2012

Physico-Chemical Methods in Drug Discovery and Development

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“…The Process Analytical Technologies (PAT) [13] framework [14][15][16] requires the development of new methodologies that allow monitoring of different stages of the process and provide reliable results in a simple and fast way and at a low cost [17]. In this context, near infrared spectroscopy (NIR), associated with multivariate calibration, has been a suitable alternative for routine analysis due to its inherent positive characteristics such as: direct measurement of solids and liquids, nondestructive analysis, little or no use of chemical reagents, and usefulness to monitor different quality parameters at several stages of the production process [18].…”

Section: Introductionmentioning

confidence: 99%

A process analytical technology approach for the production of fixed-dose combination tablets of zidovudine and lamivudine using near infrared spectroscopy and chemical images

Grangeiro

França

Pimentel

et al. 2015

Microchemical Journal

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Determination of flow properties of pharmaceutical powders by near infrared spectroscopy

Cited by 66 publications

References 30 publications

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Visual detection of apple bruises using AdaBoost algorithm and hyperspectral imaging

Near Infrared Spectroscopy in Drug Discovery and Development Processes

A process analytical technology approach for the production of fixed-dose combination tablets of zidovudine and lamivudine using near infrared spectroscopy and chemical images

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