Multivariate data analysis for Raman imaging of a model pharmaceutical tablet

Zhang, Lin; Henson, Mark J.; Sekulic, Sonja

doi:10.1016/j.aca.2005.04.080

Cited by 174 publications

(114 citation statements)

References 33 publications

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“…When a mixture of SBTs reside together in the laser's focal volume a composite spectrum results, which can be deconvoluted into its individual components, allowing the relative concentrations of each contributing species to be determined (14,24,25) provided that reference spectra of the pure components are known. Spectra were deconvoluted by assuming the composite spectrum to be a linear combination of the individual components-a reasonable assumption for stable, noninteracting particles.…”

Section: Resultsmentioning

confidence: 99%

Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression

Pallaoro

Braun

Moskovits

2011

Proc. Natl. Acad. Sci. U.S.A.

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A multiplexed, ratiometric method is described that can confidently distinguish between cancerous and noncancerous epithelial prostate cells in vitro. The technique is based on bright surfaceenhanced resonance Raman scattering (SERRS) biotags (SBTs) infused with unique Raman reporter molecules, and carrying cellspecific peptides. Two sets of SBTs were used. One targets the neuropilin-1 (NRP-1) receptors of cancer cells through the RPARPAR peptide. The other functions as a positive control (PC) and binds to both noncancerous and cancer cells through the HIV-derived TAT peptide. Point-by-point 2D Raman maps of the spatial distribution of the two tags were constructed with subcellular resolution from cells simultaneously incubated with the two sets of SBTs. Averaging the SERRS signal over a given cell yielded an NRP/PC ratio from which a robust quantitative measure of the overexpression of the NRP-1 by the cancer cell line was extracted. The use of a local, on-cell reference produces quantitative, statistically robust measures of overexpression independent of such sources of uncertainty as variations in the location of the focal plane, the local cell concentration, and turbidity.surface-enhanced Raman spectroscopy biomarker | cancer cell identification | multiplexing | silver nanoparticles E arly and rapid identification of malignant cells [ideally freeflowing in biological fluids such as urine (1) or blood (2-4)] is a central goal in cancer research. Accordingly, seeking improvements in sensitivity and accuracy of detection and quantification through, for example, the development of cell-specific diagnostic tools and biomarkers is an active enterprise. Although it is known that such cells are present in body fluids, concentrating them to levels appropriate for confident identification and quantification is still a serious challenge, despite significant advances that have been made by, for example, using microfluidics (5). Once collected, the cells must be identified as either cancerous or noncancerous within tolerable confidence limits, which may be improved by, for example, using several nonredundant biomarkers. Numerous promising identification methods have been reported using antibodies. In this article, we report a technique based on surface-enhanced Raman spectroscopy (SERS) and biotags that produce bright surface-enhanced resonance Raman scattering (SERRS) signals, comparable to or exceeding the intensities of fluorescent tags. The SERRS biotags (SBTs) used in this study exploit peptides as recognition moieties. We show that using SBTs ratiometrically can provide highly statistically significant, quantitative measures of neuropilin-1 (NRP-1) overexpression insensitive to normal causes of uncertainty in optical measurements such as variations in focal plane, cell concentration, and turbidity.Normal Raman signals from cells and their infrared (FTIR) absorbance patterns have been previously used to differentiate between cancer and normal cells (6-9). SERS has been used as an alternative immunohistochemistry (IH...

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Section: Resultsmentioning

confidence: 99%

Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression

Pallaoro

Braun

Moskovits

2011

Proc. Natl. Acad. Sci. U.S.A.

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“…However, we are strong supporters of mapping and imaging methodologies for obtaining unique information from solid-state mixtures. Examples from Pfizer's global laboratories presented both in the scientific literature and at conferences demonstrate how chemical images solve problems or provide better understanding of our products during development (11,13,15,16). The ongoing use of vibrational spectroscopy to understand biological systems and to detect disease noninvasively is also encouraging and well documented in the literature.…”

Section: Chemical Image Analysismentioning

confidence: 92%

Chemical images: Technical approaches and issues

Clark

Šašić

2006

Cytometry Pt A

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Chemical mapping techniques using Raman microscopy are introduced, and using an example of a pharmaceutical tablet, the practical aspects of data collection and processing to produce a chemical image of the sample are detailed. Issues related to data processing, instrument standards, chemical image reportable errors, and the interpretation of chemical images are presented to encourage debate, develop solutions, and promote use in other challenging scientific applications. q 2006 International Society for Analytical Cytology

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“…Multispectral/hyperspectral imaging recently has been applied in a wide range of application areas such as remote sensing [1], forensics [2], pharmaceuticals [3] and food analysis [4]. Hyperspectral imaging collects information from across the electro-magnetic spectrum, and thus produces dense sampling in the spectral domain, and can provide much richer information and better discrimination ability than visible light images.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of multispectral images and prediction of CHI-A concentration for effective ocean colour remote sensing

Ren

Zeng

McKee

2015

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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Multivariate data analysis for Raman imaging of a model pharmaceutical tablet

Cited by 174 publications

References 33 publications

Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression

Quantitative ratiometric discrimination between noncancerous and cancerous prostate cells based on neuropilin-1 overexpression

Chemical images: Technical approaches and issues

Segmentation of multispectral images and prediction of CHI-A concentration for effective ocean colour remote sensing

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