Literature DB >> 33225709

Comparability of Raman Spectroscopic Configurations: A Large Scale Cross-Laboratory Study.

Shuxia Guo1,2, Claudia Beleites2,3, Ute Neugebauer1,2,4, Sara Abalde-Cela5, Nils Kristian Afseth6, Fatima Alsamad7, Suresh Anand8, Cuauhtemoc Araujo-Andrade9, Sonja Aškrabić10, Ertug Avci11, Monica Baia12, Malgorzata Baranska13,14, Enrico Baria15,16, Luis A E Batista de Carvalho17, Philippe de Bettignies18, Alois Bonifacio19, Franck Bonnier20, Eva Maria Brauchle21,22,23, Hugh J Byrne24, Igor Chourpa20, Riccardo Cicchi8,16, Frederic Cuisinier25, Mustafa Culha11, Marcel Dahms1,2,4, Catalina David18, Ludovic Duponchel26, Shiyamala Duraipandian24,27, Samir F El-Mashtoly28,29, David I Ellis30, Gauthier Eppe31, Guillaume Falgayrac32,33, Ozren Gamulin34,35, Benjamin Gardner36, Peter Gardner30,37, Klaus Gerwert28,29, Evangelos J Giamarellos-Bourboulis38, Sveinbjorn Gizurarson39, Marcin Gnyba40, Royston Goodacre41, Patrick Grysan42, Orlando Guntinas-Lichius43, Helga Helgadottir39, Vlasta Mohaček Grošev35,44, Catherine Kendall45, Roman Kiselev2,46, Micha Kölbach47, Christoph Krafft2, Sivashankar Krishnamoorthy42, Patrick Kubryck47, Bernhard Lendl48, Pablo Loza-Alvarez9, Fiona M Lyng24,27, Susanne Machill49, Cedric Malherbe31, Monica Marro9, Maria Paula M Marques17,50, Ewelina Matuszyk14, Carlo Francesco Morasso51, Myriam Moreau26, Howbeer Muhamadali41, Valentina Mussi52, Ioan Notingher53, Marta Z Pacia14, Francesco S Pavone15,16, Guillaume Penel32,33, Dennis Petersen29, Olivier Piot7,54, Julietta V Rau55,56, Marc Richter47, Maria Krystyna Rybarczyk57, Hamideh Salehi25, Katja Schenke-Layland21,22,23, Sebastian Schlücker58, Markus Schosserer59, Karin Schütze60, Valter Sergo19,61, Faris Sinjab53, Janusz Smulko40, Ganesh D Sockalingum7,54, Clara Stiebing2, Nick Stone36, Valérie Untereiner54, Renzo Vanna51, Karin Wieland48, Jürgen Popp1,2, Thomas Bocklitz1,2.   

Abstract

The variable configuration of Raman spectroscopic platforms is one of the major obstacles in establishing Raman spectroscopy as a valuable physicochemical method within real-world scenarios such as clinical diagnostics. For such real world applications like diagnostic classification, the models should ideally be usable to predict data from different setups. Whether it is done by training a rugged model with data from many setups or by a primary-replica strategy where models are developed on a 'primary' setup and the test data are generated on 'replicate' setups, this is only possible if the Raman spectra from different setups are consistent, reproducible, and comparable. However, Raman spectra can be highly sensitive to the measurement conditions, and they change from setup to setup even if the same samples are measured. Although increasingly recognized as an issue, the dependence of the Raman spectra on the instrumental configuration is far from being fully understood and great effort is needed to address the resulting spectral variations and to correct for them. To make the severity of the situation clear, we present a round robin experiment investigating the comparability of 35 Raman spectroscopic devices with different configurations in 15 institutes within seven European countries from the COST (European Cooperation in Science and Technology) action Raman4clinics. The experiment was developed in a fashion that allows various instrumental configurations ranging from highly confocal setups to fibre-optic based systems with different excitation wavelengths. We illustrate the spectral variations caused by the instrumental configurations from the perspectives of peak shifts, intensity variations, peak widths, and noise levels. We conclude this contribution with recommendations that may help to improve the inter-laboratory studies.

Entities:  

Year:  2020        PMID: 33225709     DOI: 10.1021/acs.analchem.0c02696

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

Review 1.  Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling.

Authors:  Shuxia Guo; Jürgen Popp; Thomas Bocklitz
Journal:  Nat Protoc       Date:  2021-11-05       Impact factor: 13.491

2.  Rapid identification of human muscle disease with fibre optic Raman spectroscopy.

Authors:  James J P Alix; Maria Plesia; Gavin R Lloyd; Alexander P Dudgeon; Catherine A Kendall; Channa Hewamadduma; Marios Hadjivassiliou; Christopher J McDermott; Gráinne S Gorman; Robert W Taylor; Pamela J Shaw; John C C Day
Journal:  Analyst       Date:  2022-05-30       Impact factor: 5.227

Review 3.  Vibrational Spectroscopy for In Vitro Monitoring Stem Cell Differentiation.

Authors:  Francesca Ravera; Esen Efeoglu; Hugh J Byrne
Journal:  Molecules       Date:  2020-11-26       Impact factor: 4.411

4.  Raman microspectroscopy: sub-cellular chemical imaging of aging.

Authors:  Lisa Liendl; Markus Schosserer
Journal:  Aging (Albany NY)       Date:  2021-12-13       Impact factor: 5.682

Review 5.  From Raman to SESORRS: moving deeper into cancer detection and treatment monitoring.

Authors:  Sian Sloan-Dennison; Stacey Laing; Duncan Graham; Karen Faulds
Journal:  Chem Commun (Camb)       Date:  2021-11-23       Impact factor: 6.222

6.  Evaluation of standardized performance test methods for biomedical Raman spectroscopy.

Authors:  Andrew M Fales; Ilko K Ilev; T Joshua Pfefer
Journal:  J Biomed Opt       Date:  2021-10       Impact factor: 3.758

Review 7.  Quality control methods in musculoskeletal tissue engineering: from imaging to biosensors.

Authors:  Daniele Zuncheddu; Elena Della Bella; Andrea Schwab; Dalila Petta; Gaia Rocchitta; Silvia Generelli; Felix Kurth; Annapaola Parrilli; Sophie Verrier; Julietta V Rau; Marco Fosca; Margherita Maioli; Pier Andrea Serra; Mauro Alini; Heinz Redl; Sibylle Grad; Valentina Basoli
Journal:  Bone Res       Date:  2021-10-27       Impact factor: 13.567

8.  Feasibility of In-Line Raman Spectroscopy for Quality Assessment in Food Industry: How Fast Can We Go?

Authors:  Tiril Aurora Lintvedt; Petter V Andersen; Nils Kristian Afseth; Brian Marquardt; Lars Gidskehaug; Jens Petter Wold
Journal:  Appl Spectrosc       Date:  2022-02-25       Impact factor: 3.588

  8 in total

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