Surface-Enhanced Raman Scattering (SERS)
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Are Omics the Death of Good Sampling Practice?
VOL. 31 NO. 3 (2019) TONY DAVIES COLUMN Are omics the death of Good Sampling Practice? Antony N. Daviesa,b and Roy Goodacrec aExpert Capability Group – Measurement and Analytical Science, Nouryon, Deventer, the Netherlands bSERC, Sustainable Environment Research Centre, Faculty of Computing Engineering and Science, University of South Wales, UK. 0000-0002-3119-4202 cDepartment of Biochemistry, Institute of Integrative Biology, University of Liverpool, UK. E-mail: [email protected], 0000-0003-2230-645X During the recent Royal Society of apparently promising dead-ends. We are in most case-control studies the cases Chemistry, Faraday discussion meeting in reminded by George Poste in his edito- (those with some form of disease) are Edinburgh on Challenges in Analysis of rial “Bring on the Biomarkers” in 20112 usually already on medication (or self Complex Natural Mixtures I found myself that, at that time, of the 150,000 clini- medicating), so this strong confounding wondering if the power that our modern cal biomarkers described in the literature factor also needs to be considered. spectrometers bring to the study of highly a mere 100 were routinely used in the There is an enormous gap between complex systems can sometimes over- clinic. delivering theoretical correlations with whelm our natural scepticism around Omics experiments in themselves the hope of finding causation from stud- poor sampling practices.1 Some targeted present an enormous issue for classical ies of cell cultures in Petri dishes to questions put by Roy Goodacre in this statisticians just by their huge dimension- catching the developing lung cancer in a direction to several speakers seemed to ality. -
Rothamsted Repository Download
Patron: Her Majesty The Queen Rothamsted Research Harpenden, Herts, AL5 2JQ Telephone: +44 (0)1582 763133 WeB: http://www.rothamsted.ac.uk/ Rothamsted Repository Download A - Papers appearing in refereed journals Ward, J. L., Moing, A., Allwood, J. W., Aharoni, A., Baker, J., Beale, M. H., Ben-Dor, S., Biais, B., Brigante, F., Burger, Y., Deborde, C., Erban, A., Faigenboim, A., Gur, A., Goodacre, R., Hansen, T. H., Jacob, D., Katzir, N., Kopka, J., Lewinsohn, E., Maucourt, M., Meir, S., Miller, S., Mumm, R., Oren, E., Paris, H. S., Rogachev, I., Rolin, D., Saar, U., Schjoerring, J. K., Tadmor, Y., Tzuri, G., Vos, R. C. D., Ward, J. L., Yeselson, E., Hall, R. D. and Schaffer, A. A. 2020. Comparative Metabolomics and Molecular Phylogenetics of Melon (Cucumis melo, Cucurbitaceae) Biodiversity. Metabolites. 10 (3), pp. 121-147. The publisher's version can be accessed at: • https://dx.doi.org/10.3390/metabo10030121 • https://www.mdpi.com/2218-1989/10/3/121 The output can be accessed at: https://repository.rothamsted.ac.uk/item/9783y/comparative-metabolomics-and- molecular-phylogenetics-of-melon-cucumis-melo-cucurbitaceae-biodiversity. © 20 March 2020, Please contact [email protected] for copyright queries. 28/05/2020 09:19 repository.rothamsted.ac.uk [email protected] Rothamsted Research is a Company Limited by Guarantee Registered Office: as above. Registered in England No. 2393175. Registered Charity No. 802038. VAT No. 197 4201 51. Founded in 1843 by John Bennet Lawes. H OH metabolites OH Article Comparative Metabolomics and Molecular Phylogenetics of Melon (Cucumis melo, Cucurbitaceae) Biodiversity Annick Moing 1 , J. -
The Development of Enhanced Raman Scattering for the Trace Analysis of Biomolecules
The Development of Enhanced Raman Scattering for the Trace Analysis of Biomolecules A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Engineering and Physical Sciences 2013 David Paul Cowcher Supervised by Professor Royston Goodacre School of Chemistry Contents Contents CONTENTS ....................................................................................................................................... 2 LIST OF FIGURES .......................................................................................................................... 7 LIST OF TABLES .......................................................................................................................... 14 LIST OF EQUATIONS .................................................................................................................. 15 LIST OF SCHEMES ...................................................................................................................... 15 LIST OF ABBREVIATIONS ........................................................................................................ 16 ABSTRACT ..................................................................................................................................... 18 ACKNOWLEDGEMENTS ............................................................................................................ 19 DECLARATION ............................................................................................................................ -
Spectral Artefacts Induced by Moving Targets in Live Hyperspectral Stimulated Raman Spectroscopy: the Case of Lipid Droplets in Yeast Cells
Clinical Spectroscopy 3 (2021) 100014 Contents lists available at ScienceDirect Clinical Spectroscopy journal homepage: www.sciencedirect.com/journal/clinical-spectroscopy Spectral artefacts induced by moving targets in live hyperspectral stimulated Raman spectroscopy: The case of lipid droplets in yeast cells Cassio Lima a, Chrispian W. Theron a, Howbeer Muhamadali a, Douglas B. Kell a,b, Royston Goodacre a,* a Centre for Metabolomics Research, Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, United Kingdom b Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Building 220, Kemitorvet, 2800, Kgs Lyngby, Denmark ARTICLE INFO ABSTRACT Keywords: In this study, we used stimulated Raman spectroscopy (SRS) microscopy to collect Raman signatures from live Yeast Saccharomyces cerevisiae cells in the spectral range 2804 3060 cm 1 and 830 2000 cm 1 with a spectral res Hyperspectral SRS olution of 8 cm 1. To effect this, we tuned the pump beam to several distinct wavelengths and thus acquired a Fixatives series of chemical maps in order to reconstruct SRS spectra based on the intensity of the pixels, an approach also Live cell imaging referred as hyperspectral SRS (hsSRS). One of the advantages of hsSRS over spontaneous Raman is that it is not Raman overtly plagued by fluorescence and so fluorescent samples like yeast can be analysed. We show however that Raman signatures acquired by this approach may be subject to spectral artefacts that manifest as drops in in tensity of Raman signal due to the movement of lipid droplets (LDs) within the yeast cells. -
Cucumis Melo, Cucurbitaceae) Biodiversity
H OH metabolites OH Article Comparative Metabolomics and Molecular Phylogenetics of Melon (Cucumis melo, Cucurbitaceae) Biodiversity Annick Moing 1 , J. William Allwood 2 , Asaph Aharoni 3, John Baker 4, Michael H. Beale 4, Shifra Ben-Dor 3 , Benoît Biais 1, Federico Brigante 5,6,7, Yosef Burger 8, Catherine Deborde 1 , Alexander Erban 5, Adi Faigenboim 8, Amit Gur 9, Royston Goodacre 10 , Thomas H. Hansen 11, Daniel Jacob 1, Nurit Katzir 9, Joachim Kopka 5, Efraim Lewinsohn 9, Mickael Maucourt 1 , Sagit Meir 3 , Sonia Miller 4, Roland Mumm 12, Elad Oren 9, Harry S. Paris 9, Ilana Rogachev 3, Dominique Rolin 1, Uzi Saar 9, Jan K. Schjoerring 11, Yaakov Tadmor 9, Galil Tzuri 9, 12 4 8 12,13, Ric C.H. de Vos , Jane L. Ward , Elena Yeselson , Robert D. Hall y and 8, , Arthur A. Schaffer * y 1 INRAE, Univ. Bordeaux, UMR1332 Fruit Biology and Pathology, Bordeaux Metabolome Facility MetaboHUB, Centre INRAE de Nouvelle Aquitaine - Bordeaux, 33140 Villenave d’Ornon, France; [email protected] (A.M.); [email protected] (B.B.); [email protected] (C.D.); [email protected] (D.J.); [email protected] (M.M.); [email protected] (D.R.) 2 The James Hutton Institute, Environmental & Biochemical Sciences, Invergowrie, Dundee, DD2 5DA Scotland, UK; [email protected] 3 Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; [email protected] (A.A.); [email protected] (S.M.); [email protected] (I.R.); [email protected] (S.B.-D.) 4 Rothamsted Research, Harpenden, Herts AL5 2JQ, UK; john.baker@pfizer.com (J.B.); [email protected] (M.H.B.); [email protected] (S.M.); [email protected] (J.L.W.) 5 Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm 14476, Germany; [email protected] (F.B.); [email protected] (A.E.); [email protected] (J.K.) 6 Universidad Nacional de Córdoba, Facultad de Ciencias Químicas, Dto. -
Complementary Vibrational Spectroscopy
Complementary Vibrational Spectroscopy Kazuki Hashimoto1,2, Venkata Ramaiah Badarla3, Akira Kawai1 and Takuro Ideguchi*3,4 1 Department of Physics, The University of Tokyo, Tokyo 113-0033, Japan 2 Aeronautical Technology Directorate, Japan Aerospace Exploration Agency, Tokyo 181-0015, Japan 3 Institute for Photon Science and Technology, The University of Tokyo, Tokyo 113-0033, Japan 4 PRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan *[email protected] Vibrational spectroscopy, comprised of infrared absorption and Raman scattering spectroscopy, is widely used for label-free optical sensing and imaging in various scientific and industrial fields. The group theory states that the two molecular spectroscopy methods are sensitive to vibrations categorized in different point groups and provide complementary vibrational spectra. Therefore, complete vibrational information cannot be acquired by a single spectroscopic device, which has impeded the full potential of vibrational spectroscopy. Here, we demonstrate simultaneous infrared absorption and Raman scattering spectroscopy that allows us to measure the complete broadband vibrational spectra in the molecular fingerprint region with a single instrument based on an ultrashort pulsed laser. The system is based on dual-modal Fourier-transform spectroscopy enabled by efficient use of nonlinear optical effects. Our proof-of-concept experiment demonstrates rapid, broadband and high spectral resolution measurements of complementary spectra of organic liquids for -
Infrared and Raman Spectroscopy UNIT II: Infrared and Raman Spectroscopy
CORE COURSE-VIII (CC-VIII) PHYSICAL METHODS IN CHEMISTRY II UNIT II: Infrared and Raman Spectroscopy UNIT II: Infrared and Raman Spectroscopy Vibrations in simple molecules (H2O, CO2) and their symmetry notation for molecular vibrations – group vibrations and the limitations – combined uses of IR and Raman spectroscopy in the - – structural elucidation of simple molecules like N2O, ClF3, NO3 , ClO4 effect of coordination on ligand vibrations – uses of groups vibrations in the structural elucidation of metal complexes of urea, thiourea, cyanide, thiocyanate and dimethyl sulfoxide. Effect of isotopic substitution on the vibrational spectra of molecules – vibrational spectra of metal carbonyls with reference to the nature of bonding – geometry and number of C-O stretching vibrations (group theoretical treatment) – applications of Raman spectroscopy – resonance Raman spectroscopy. Vibrations in simple molecules (H2O, CO2) Molecular Vibrations There are two types of molecular vibrations, stretching and bending. A molecule consisting of n atoms has a total of 3n degrees of freedom, corresponding to the Cartesian coordinates of each atom in the molecule. In a nonlinear molecule, 3 of these degrees are rotational and 3 are translational and the remaining corresponds to fundamental vibrations; in a linear molecule, 2 degrees are rotational and 3 are translational. The net number of fundamental vibrations for nonlinear and linear molecules is therefore: Molecule degrees of freedom: (nonlinear 3n– 6) (linear 3n– 5) The fundamental vibrations for water, H2O, are given in Figure. Water, which is nonlinear, has three fundamental vibrations. Carbon dioxide, CO2, is linear and hence has four fundamental vibrations (Figure). The two scissoring or bending vibrations are equivalent and therefore, have the same frequency and are said to be degenerate, appearing in an IR spectrum at 666 cm–1. -
Time Resolved Raman Spectroscopy for Depth Measurements Through
VU Research Portal Time-Resolved Raman Spectroscopy for depth analysis in scattering samples Petterson, I.E.I. 2013 document version Publisher's PDF, also known as Version of record Link to publication in VU Research Portal citation for published version (APA) Petterson, I. E. I. (2013). Time-Resolved Raman Spectroscopy for depth analysis in scattering samples. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. E-mail address: [email protected] Download date: 30. Sep. 2021 Chapter 1. Introduction Concepts of Raman spectroscopy 11 1.1 Light scattering and the Raman effect Types of electromagnetic scattering When photons from a monochromatic light source such as a laser illuminate a material, the light can be transmitted, absorbed or scattered. In the case of scattering, the majority of this light is elastically scattered by the material with the same photon energy as the incident beam. -
Portable Through Bottle SORS for the Authentication of Extra Virgin Olive Oil
applied sciences Article Portable through Bottle SORS for the Authentication of Extra Virgin Olive Oil Mehrvash Varnasseri 1, Howbeer Muhamadali 1, Yun Xu 1, Paul I. C. Richardson 1, Nick Byrd 2, David I. Ellis 3 , Pavel Matousek 4 and Royston Goodacre 1,* 1 Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, BioSciences Building, Crown St., Liverpool L69 7ZB, UK; [email protected] (M.V.); [email protected] (H.M.); [email protected] (Y.X.); [email protected] (P.I.C.R.) 2 Campden BRI Group, Station Road, Chipping Campden GL55 6LD, UK; [email protected] 3 School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester M1 7DN, UK; [email protected] 4 Central Laser Facility, Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Harwell Oxford OX11 0QX, UK; [email protected] * Correspondence: [email protected] Abstract: The authenticity of olive oil has been a significant long-term challenge. Extra virgin olive oil (EVOO) is the most desirable of these products and commands a high price, thus unscrupulous individuals often alter its quality by adulteration with a lower grade oil. Most analytical methods employed for the detection of food adulteration require sample collection and transportation to a central laboratory for analysis. We explore the use of portable conventional Raman and spatially-offset Citation: Varnasseri, M.; Raman spectroscopy (SORS) technologies as non-destructive approaches to assess the adulteration Muhamadali, H.; Xu, Y.; Richardson, status of EVOO quantitatively and for SORS directly through the original container, which means P.I.C.; Byrd, N.; Ellis, D.I.; Matousek, that after analysis the bottle is intact and the oil would still be fit for use. -
Basic Principles
CHAPTER 2 Basic Principles 1. ELECTROMAGNETIC RADIATION All light (including infrared) is classified as electromagnetic radiation and consists of alter- nating electric and magnetic fields and is described classically by a continuous sinusoidal wave like motion of the electric and magnetic fields. Typically, for IR and Raman spectros- copy we will only consider the electric field and neglect the magnetic field component. Figure 2.1 depicts the electric field amplitude of light as a function of time. The important parameters are the wavelength (l, length of 1 wave), frequency (v, number cycles per unit time), and wavenumbers (n, number of waves per unit length) and are related to one another by the following expression: n 1 n ¼ ¼ ðc=nÞ l where c is the speed of light and n the refractive index of the medium it is passing through. In quantum theory, radiation is emitted from a source in discrete units called photons where the photon frequency, v, and photon energy, Ep, are related by Ep ¼ hn À where h is Planck’s constant (6.6256 Â 10 27 erg sec). Photons of specific energy may be absorbed (or emitted) by a molecule resulting in a transfer of energy. In absorption spectros- copy this will result in raising the energy of molecule from ground to a specific excited state E + + – – Time FIGURE 2.1 The amplitude of the electric vector of electromagnetic radiation as a function of time. The wavelength is the distance between two crests. 7 8 2. BASIC PRINCIPLES E 2 Molecular E energy p ( ) levels E E E p = 2 – 1 E 1 FIGURE 2.2 Absorption of electromagnetic radiation. -
Mass Spectrometry Als
Vol. 15 No. 3 July/September 2019 SPECTROSCOPY asia The essential magazine for spectroscopists in the Asia/Pacific region Global Hg pollution from artisanal gold mining Soil organic matter using vis-NIR spectroscopy Are omics the death of Good Sampling Practice? Vol. 15 No. 3 July/September 2019 ISSN 1743-5277 SPECTROSCOPY asia The essential magazine for spectroscopists in the Asia/Pacific region Global Hg pollution from artisanal gold mining Soil organic matter using vis-NIR spectroscopy CONTENTS Are omics the death of Good Sampling Practice? 3 Editorial 4 News Karl Norris: Father of NIR spectroscopy; First MS images recorded using MAIV; Terahertz QCL without cryogenic cooling Soil organic matter can be determined Reducing global mercury pollution using visible-near infrared spectroscopy and 6 machine learning, providing a green method- from small-scale artisanal gold mining ology for the analysis. Find out more in the article starting on page 11. Peter W.U. Appel and Kim H. Esbensen 11 Determination of soil organic Publisher matter using visible-near infrared Ian Michael ([email protected]) spectroscopy and machine learning Felipe Bachion de Santana, Sandro Keiichi Otani, André Marcelo de Souza and Advertising Sales Ronei Jesus Poppi UK and Ireland Ian Michael Spectroscopy Asia, 6 Charlton Mill, Charlton, Chichester, West Sussex PO18 0HY, 15 Tony Davies Column: Are omics United Kingdom. Tel: +44-1243-811334, Fax: +44-1243-811711, the death of Good Sampling Practice? E-mail: [email protected] Antony N. Davies and Roy Goodacre Americas Joe Tomaszewski John Wiley & Sons Inc. 18 Sampling Column: Passing a Tel: +1-908-514-0776 E: [email protected] milestone: the successful WCSB9 Lili Jiang and Kim H. -
Complementary Vibrational Spectroscopy
ARTICLE https://doi.org/10.1038/s41467-019-12442-9 OPEN Complementary vibrational spectroscopy Kazuki Hashimoto1,2, Venkata Ramaiah Badarla3, Akira Kawai1 & Takuro Ideguchi 3,4* Vibrational spectroscopy, comprised of infrared absorption and Raman scattering spectro- scopy, is widely used for label-free optical sensing and imaging in various scientific and industrial fields. The two molecular spectroscopy methods are sensitive to different types of vibrations and provide complementary vibrational spectra, but obtaining complete vibrational information with a single spectroscopic device is challenging due to the large wavelength 1234567890():,; discrepancy between the two methods. Here, we demonstrate simultaneous infrared absorption and Raman scattering spectroscopy that allows us to measure the complete broadband vibrational spectra in the molecular fingerprint region with a single instrument based on an ultrashort pulsed laser. The system is based on dual-modal Fourier-transform spectroscopy enabled by efficient use of nonlinear optical effects. Our proof-of-concept experiment demonstrates rapid, broadband and high spectral resolution measurements of complementary spectra of organic liquids for precise and accurate molecular analysis. 1 Department of Physics, The University of Tokyo, Tokyo 113-0033, Japan. 2 Aeronautical Technology Directorate, Japan Aerospace Exploration Agency, Tokyo 181-0015, Japan. 3 Institute for Photon Science and Technology, The University of Tokyo, Tokyo 113-0033, Japan. 4 PRESTO, Japan Science and Technology Agency,