Literature DB >> 30096648

Quantitative analysis of a pharmaceutical formulation: Performance comparison of different handheld near-infrared spectrometers.

Hui Yan1, Heinz W Siesler2.   

Abstract

Notwithstanding the first developments of miniaturized vibrational spectrometers more than a decade ago, only recently real handheld near-infrared (NIR) spectrometers (<200 g) became commercially available at significantly reduced costs compared to other portable systems. While on the one hand this development was driven by the consumer request for every-day-life applications by non-experts, on the manufacturer side it was supported by the availability and potential of new technologies such as micro-electromechanical systems (MEMS). In the present communication calibration spectra of a solid pharmaceutical formulation consisting of two excipients and three active ingredients, acetylsalicylic acid (ASA), ascorbic acid (ASC) and caffeine (CAF), have been measured with four handheld NIR spectrometers based on different monochromator principles and have subsequently been used to develop partial least squares (PLS) models for the quantitative determination of the active ingredients. Taking into account the instrumental and spectral peculiarities of the four instruments and the three analytes, respectively, the detailed analysis of the calibration parameters and the prediction accuracy for a test sample set then allowed to compare the performance of the different spectrometers for the analytical problem under investigation.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Analytical performance; Handheld NIR spectrometers; Partial least squares (PLS) calibration; Pharmaceutical formulation; Quantitative NIR analysis

Mesh:

Substances:

Year:  2018        PMID: 30096648     DOI: 10.1016/j.jpba.2018.07.048

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  8 in total

1.  Rapid determination of the content of digestible energy and metabolizable energy in sorghum fed to growing pigs by near-infrared reflectance spectroscopy1.

Authors:  Jie Hu; Juntao Li; Long Pan; Xiangshu Piao; Li Sui; Gengnan Xie; Shuai Zhang; Liying Zhang; Junjun Wang
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

2.  Chemometric Differentiation of Sole and Plaice Fish Fillets Using Three Near-Infrared Instruments.

Authors:  Nicola Cavallini; Francesco Pennisi; Alessandro Giraudo; Marzia Pezzolato; Giovanna Esposito; Gentian Gavoci; Luca Magnani; Alberto Pianezzola; Francesco Geobaldo; Francesco Savorani; Elena Bozzetta
Journal:  Foods       Date:  2022-06-02

Review 3.  Breakthrough Potential in Near-Infrared Spectroscopy: Spectra Simulation. A Review of Recent Developments.

Authors:  Krzysztof B Beć; Christian W Huck
Journal:  Front Chem       Date:  2019-02-22       Impact factor: 5.221

4.  Quantification of Water, Protein and Soluble Sugar in Mulberry Leaves Using a Handheld Near-Infrared Spectrometer and Multivariate Analysis.

Authors:  Yue Ma; Guo-Zheng Zhang; Sedjoah Aye-Ayire Rita-Cindy
Journal:  Molecules       Date:  2019-12-04       Impact factor: 4.411

5.  Investigations into the Performance of a Novel Pocket-Sized Near-Infrared Spectrometer for Cheese Analysis.

Authors:  Verena Wiedemair; Dominik Langore; Roman Garsleitner; Klaus Dillinger; Christian Huck
Journal:  Molecules       Date:  2019-01-24       Impact factor: 4.411

6.  Tuned near infrared fluorescent hyaluronic acid conjugates for delivery to pancreatic cancer for intraoperative imaging.

Authors:  Bowen Qi; Ayrianne J Crawford; Nicholas E Wojtynek; Geoffrey A Talmon; Michael A Hollingsworth; Quan P Ly; Aaron M Mohs
Journal:  Theranostics       Date:  2020-02-10       Impact factor: 11.556

7.  Monitoring the Processing of Dry Fermented Sausages with a Portable NIRS Device.

Authors:  Alberto González-Mohino; Trinidad Pérez-Palacios; Teresa Antequera; Jorge Ruiz-Carrascal; Lary Souza Olegario; Silvia Grassi
Journal:  Foods       Date:  2020-09-14

8.  Potential of Near Infrared Spectroscopy as a Rapid Method to Discriminate OTA and Non-OTA-Producing Mould Species in a Dry-Cured Ham Model System.

Authors:  Eva Cebrián; Félix Núñez; Mar Rodríguez; Silvia Grassi; Alberto González-Mohino
Journal:  Toxins (Basel)       Date:  2021-09-03       Impact factor: 4.546

  8 in total

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