Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Gowen, Aoife; O’Donnell, Colm P.; Cullen, Patrick J.; Bell, Steven E. J.

doi:10.1016/j.ejpb.2007.10.013

Cited by 243 publications

(152 citation statements)

References 62 publications

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“…In two papers, Tahtouh et al also described the application of infrared HSI to the visualization of untreated fingermarks 2,3 . Results indicated that the infrared spectra of many untreated fingermarks show peaks due to C-H stretching vibrations around 3333 nm, mainly due to fatty acid residues.…”

Section: Detection and Enhancement Of Untreated Fingermarksmentioning

confidence: 99%

“…Background interference problems in the visible region can also be solved by showing differences in chemical composition of the print and the background using mid-infrared HSI, as shown by Tahtouh et al 2,3 . Infrared HSI of chemically treated fingermarks was carried out on several challenging backgrounds.…”

Section: Detection and Enhancement Of Treated Fingermarksmentioning

confidence: 99%

“…HSI was originally developed for remote sensing applications utilizing satellite imaging data of the earth [1] but has since found application in such diverse fields as food science [2], pharmaceuticals [3] and medical diagnostics [4]. Hyperspectral images are analogous to a stack of images, each acquired at a narrow spectral band.…”

Section: Introductionmentioning

confidence: 99%

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Hyperspectral imaging for non-contact analysis of forensic traces

Edelman

Gaston

Leeuwen

et al. 2012

Forensic Science International

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Hyperspectral imaging (HSI) integrates conventional imaging and spectroscopy, to obtain both spatial and spectral information from a specimen. This technique enables investigators to analyze the chemical composition of traces and simultaneously visualize their spatial distribution. HSI offers significant potential for the detection, visualization, identification and age estimation of forensic traces. The rapid, non-destructive and non-contact features of HSI mark its suitability as an analytical tool for forensic science. This paper provides an overview of the principles, instrumentation and analytical techniques involved in hyperspectral imaging. We describe recent advances in HSI technology motivating forensic science applications, e.g. the development of portable and fast image acquisition systems. Reported forensic science applications are reviewed. Challenges are addressed, such as the analysis of traces on backgrounds encountered in casework, concluded by a summary of possible future applications.

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Section: Detection and Enhancement Of Untreated Fingermarksmentioning

confidence: 99%

Section: Detection and Enhancement Of Treated Fingermarksmentioning

confidence: 99%

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Hyperspectral imaging for non-contact analysis of forensic traces

Edelman

Gaston

Leeuwen

et al. 2012

Forensic Science International

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250

116

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“…Vibrational spectroscopy techniques are widely used in small molecule, solid-state API analysis. [1][2][3][4] These often require minimal sample preparation, and can provide much more chemical and structural information. [5][6] Solid-state forms like polymorphs, amorphous solids, salts, solvates, co-crystals can have different physicochemical properties due to the variations in their free energies and inter-and intra-molecular bonding, [7][8] thus accurate characterization and quantification of form or change is important.…”

Section: Introductionmentioning

confidence: 99%

Low-Content Quantification in Powders Using Raman Spectroscopy: A Facile Chemometric Approach to Sub 0.1% Limits of Detection

et al. 2015

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Publication InformationLi, B.; Calvet, A.; Casamayou-Boucau, Y.; Morris, C.; Ryder, A.G. (2015) 'Low-content quantification in powders using Raman spectroscopy: a facile chemometric approach to sub 0.1% limits of detection'. Analytical Chemistry, 87 (6):3419-3428. PublisherAmerican Chemical Society Low-content quantification in powders using Raman spectroscopy: a facile chemometric approach to sub 0.1% limits of detection.Boyan Li, Amandine Calvet, Yannick Casamayou-Boucau, Cheryl Morris, and Alan G. Ryder* Nanoscale Biophotonics Laboratory, School of Chemistry, National University of Ireland, Galway, Galway, Ireland.* To whom correspondence should be addressed.Tel: +3539149 2943 Email: alan.ryder@nuigalway.ie ABSTRACT A robust and accurate analytical methodology for low-content (<0.1%) quantification in the solid-state using Raman spectroscopy, sub-sampling, and chemometrics was demonstrated using a piracetam-proline model. The method involved a 5-step process: collection of relatively large number of spectra (8410) from each sample by Raman mapping, meticulous data pretreatment to remove spectral artefacts, use of a 0-100% concentration range partial least squares (PLS) regression model to estimate concentration at each pixel, use of a more-accurate, reduced concentration range PLS model to accurately calculate analyte concentration at each pixel, and finally statistical analysis of all 8000+ concentration predictions to produce an accurate overall sample concentration. The relative prediction accuracy was ~2.4% for a 0.05~1.0% concentration range and the limit of detection was comparable to high performance liquid chromatography (0.03% versus 0.041%). For data pretreatment, we developed a unique cosmic ray removal method and used an automated baseline correction method, neither of which required subjective user intervention and thus were fully automatable. The method is applicable to systems, which cannot be easily analyzed chromatographically such as hydrate, polymorph, or solvate contamination.

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“…Spectroscopic methods such as NIR spectroscopy and chemical imaging are of major interest to industries such as pharmaceutical and food (Gowen et al, 2007(Gowen et al, , 2008Shen, 2011), as they facilitate rapid, non-destructive monitoring of inter and intra batch variability in processing methods. This is of major importance in quality control and allows manufacturers to benefit from the adoption of the process analytical technology (PAT) paradigm.…”

Section: Introductionmentioning

confidence: 99%

Terahertz time domain spectroscopy and imaging: Emerging techniques for food process monitoring and quality control

Gowen

O'Sullivan

O’Donnell

2012

Trends in Food Science & Technology

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198

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The Terahertz (THz) region of the electromagnetic spectrum, spanning the range between 100 GHz and 30 THz, has recently enjoyed a renaissance due to technological developments in source and detector components. With the development of THz instrumentation, applications of THz spectroscopy and imaging for quality control of food products have expanded in scope and improved in performance. This article gives an overview of the fundamentals of THz technology and a comprehensive review of applications of THz time domain spectroscopy and imaging for food quality and control. Technical challenges and future outlook for these emerging techniques are also discussed.

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Recent applications of Chemical Imaging to pharmaceutical process monitoring and quality control

Cited by 243 publications

References 62 publications

Hyperspectral imaging for non-contact analysis of forensic traces

Hyperspectral imaging for non-contact analysis of forensic traces

Low-Content Quantification in Powders Using Raman Spectroscopy: A Facile Chemometric Approach to Sub 0.1% Limits of Detection

Terahertz time domain spectroscopy and imaging: Emerging techniques for food process monitoring and quality control

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