Literature DB >> 20496027

Practical issues of hyperspectral imaging analysis of solid dosage forms.

José Manuel Amigo1.   

Abstract

Hyperspectral imaging techniques have widely demonstrated their usefulness in different areas of interest in pharmaceutical research during the last decade. In particular, middle infrared, near infrared, and Raman methods have gained special relevance. This rapid increase has been promoted by the capability of hyperspectral techniques to provide robust and reliable chemical and spatial information on the distribution of components in pharmaceutical solid dosage forms. Furthermore, the valuable combination of hyperspectral imaging devices with adequate data processing techniques offers the perfect landscape for developing new methods for scanning and analyzing surfaces. Nevertheless, the instrumentation and subsequent data analysis are not exempt from issues that must be thoughtfully considered. This paper describes and discusses the main advantages and drawbacks of the measurements and data analysis of hyperspectral imaging techniques in the development of solid dosage forms.

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Year:  2010        PMID: 20496027     DOI: 10.1007/s00216-010-3828-z

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  10 in total

1.  Visualization and Non-Destructive Quantification of Inkjet-Printed Pharmaceuticals on Different Substrates Using Raman Spectroscopy and Raman Chemical Imaging.

Authors:  Magnus Edinger; Daniel Bar-Shalom; Jukka Rantanen; Natalja Genina
Journal:  Pharm Res       Date:  2017-03-01       Impact factor: 4.200

Review 2.  New sensor technologies in quality evaluation of Chinese materia medica: 2010-2015.

Authors:  Xiaosu Miao; Qingyu Cui; Honghui Wu; Yanjiang Qiao; Yanfei Zheng; Zhisheng Wu
Journal:  Acta Pharm Sin B       Date:  2016-11-02       Impact factor: 11.413

3.  Quantification and spatial distribution of salicylic acid in film tablets using FT-Raman mapping with multivariate curve resolution.

Authors:  Haslet Eksi-Kocak; Sibel Ilbasmis Tamer; Sebnem Yilmaz; Merve Eryilmaz; Ismail Hakkı Boyaci; Ugur Tamer
Journal:  Asian J Pharm Sci       Date:  2017-10-20       Impact factor: 6.598

4.  Fiber-Array-Based Raman Hyperspectral Imaging for Simultaneous, Chemically-Selective Monitoring of Particle Size and Shape of Active Ingredients in Analgesic Tablets.

Authors:  Timea Frosch; Elisabeth Wyrwich; Di Yan; Juergen Popp; Torsten Frosch
Journal:  Molecules       Date:  2019-11-30       Impact factor: 4.411

5.  Image-Based Artificial Intelligence Methods for Product Control of Tablet Coating Quality.

Authors:  Cosima Hirschberg; Magnus Edinger; Else Holmfred; Jukka Rantanen; Johan Boetker
Journal:  Pharmaceutics       Date:  2020-09-15       Impact factor: 6.321

6.  Introducing ATR-FTIR Spectroscopy through Analysis of Acetaminophen Drugs: Practical Lessons for Interdisciplinary and Progressive Learning for Undergraduate Students.

Authors:  Félix Zapata; Adrián López-Fernández; Fernando Ortega-Ojeda; Gloria Quintanilla; Carmen García-Ruiz; Gemma Montalvo
Journal:  J Chem Educ       Date:  2021-07-12       Impact factor: 2.979

Review 7.  Novel aspects of Raman spectroscopy in skin research.

Authors:  Dominique Lunter; Victoria Klang; Dorottya Kocsis; Zsófia Varga-Medveczky; Szilvia Berkó; Franciska Erdő
Journal:  Exp Dermatol       Date:  2022-07-25       Impact factor: 4.511

8.  Non-destructive classification and prediction of aflatoxin-B1 concentration in maize kernels using Vis-NIR (400-1000 nm) hyperspectral imaging.

Authors:  Subir Kumar Chakraborty; Naveen Kumar Mahanti; Shekh Mukhtar Mansuri; Manoj Kumar Tripathi; Nachiket Kotwaliwale; Digvir Singh Jayas
Journal:  J Food Sci Technol       Date:  2020-06-06       Impact factor: 2.701

9.  Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution-Alternating Least Squares.

Authors:  Efraín M Castro-Alayo; Llisela Torrejón-Valqui; Ilse S Cayo-Colca; Fiorella P Cárdenas-Toro
Journal:  Foods       Date:  2021-12-14

Review 10.  Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview.

Authors:  Priyanka Reddy; Kathryn M Guthridge; Joe Panozzo; Emma J Ludlow; German C Spangenberg; Simone J Rochfort
Journal:  Sensors (Basel)       Date:  2022-03-03       Impact factor: 3.576

  10 in total

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