Literature DB >> 23298907

Non-invasive identification of incoming raw pharmaceutical materials using Spatially Offset Raman Spectroscopy.

Matthew Bloomfield1, Darren Andrews, Paul Loeffen, Craig Tombling, Tim York, Pavel Matousek.   

Abstract

A new approach to verification of incoming raw materials through packaging in pharmaceutical manufacturing is proposed and demonstrated. The method is based around Spatially Offset Raman Spectroscopy (SORS) and permits a rapid chemical identity analysis of incoming materials to satisfy regulatory requirements but without the need to open the packaging. This dramatically increases the throughput of incoming raw materials into the pharmaceutical manufacturing chain and eliminates the need for a chemically safe sampling environment required for invasive inspection methods. Since the inspection is non-invasive the safety of the operators is ensured and the integrity of inspected material is not compromised by preventing exposure to the ambient atmosphere and cross contamination. The experiments presented here demonstrate the ability to accurately identify common pharmaceutical materials, typically in under 10s acquisition time, through a range of frequently used packaging, including translucent plastic and paper sacks and coloured glass bottles, which can be challenging for conventional Raman spectroscopy as well as other optical spectroscopy methods. With the exception of metallic containers and cardboard drums all the tested packaging materials proved to be amenable to this technique. This demonstrates the viability of this new rapid verification method for non-invasive materials identification in pharmaceutical manufacture.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23298907     DOI: 10.1016/j.jpba.2012.11.046

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


  7 in total

1.  Non-invasive identification of potato varieties and prediction of the origin of tuber cultivation using spatially offset Raman spectroscopy.

Authors:  Rohini Morey; Alexei Ermolenkov; Willam Z Payne; Douglas C Scheuring; Jeffrey W Koym; M Isabel Vales; Dmitry Kurouski
Journal:  Anal Bioanal Chem       Date:  2020-05-25       Impact factor: 4.142

2.  Comparison of Raman and attenuated total reflectance (ATR) infrared spectroscopy for water quantification in natural deep eutectic solvent.

Authors:  Suha Elderderi; Laura Wils; Charlotte Leman-Loubière; Sandra Henry; Hugh J Byrne; Igor Chourpa; Emilie Munnier; Abdalla A Elbashir; Leslie Boudesocque-Delaye; Franck Bonnier
Journal:  Anal Bioanal Chem       Date:  2021-06-01       Impact factor: 4.142

3.  Through-container, extremely low concentration detection of multiple chemical markers of counterfeit alcohol using a handheld SORS device.

Authors:  David I Ellis; Rebecca Eccles; Yun Xu; Julia Griffen; Howbeer Muhamadali; Pavel Matousek; Ian Goodall; Royston Goodacre
Journal:  Sci Rep       Date:  2017-09-21       Impact factor: 4.379

4.  Non-invasive In Vivo Imaging of Cancer Using Surface-Enhanced Spatially Offset Raman Spectroscopy (SESORS).

Authors:  Fay Nicolson; Bohdan Andreiuk; Chrysafis Andreou; Hsiao-Ting Hsu; Scott Rudder; Moritz F Kircher
Journal:  Theranostics       Date:  2019-08-13       Impact factor: 11.556

5.  Comparison of Vibrational Spectroscopic Techniques for Quantification of Water in Natural Deep Eutectic Solvents.

Authors:  Suha Elderderi; Pierre-Yves Sacré; Laura Wils; Igor Chourpa; Abdalla A Elbashir; Philippe Hubert; Hugh J Byrne; Leslie Boudesocque-Delaye; Eric Ziemons; Franck Bonnier
Journal:  Molecules       Date:  2022-07-27       Impact factor: 4.927

6.  Non-Invasive Identification of Nutrient Components in Grain.

Authors:  Charles Farber; A S M Faridul Islam; Endang M Septiningsih; Michael J Thomson; Dmitry Kurouski
Journal:  Molecules       Date:  2021-05-24       Impact factor: 4.411

Review 7.  Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection.

Authors:  Dmytro Mamchur; Janis Peksa; Soledad Le Clainche; Ricardo Vinuesa
Journal:  Sensors (Basel)       Date:  2022-03-09       Impact factor: 3.576

  7 in total

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