Literature DB >> 23371531

Quartz microfluidic chip for tumour cell identification by Raman spectroscopy in combination with optical traps.

Sebastian Dochow1, Claudia Beleites, Thomas Henkel, Günter Mayer, Jens Albert, Joachim Clement, Christoph Krafft, Jürgen Popp.   

Abstract

Three important technical innovations are reported here towards Raman-activated cell sorting. Firstly, a microfluidic chip made of quartz is introduced which integrates injection of single cells, trapping by laser fibres and sorting of cells. Secondly, a chip holder was designed to provide simple, accurate and stable adjustment of chips, microfluidic connections and the trapping laser fibres. The new setup enables to the collection of Raman spectra of single cells at 785 nm excitation with 10 s exposure time. Lastly, a new type of modelling the various background contributions is described, improving Raman-based cell identification by the classification algorithm linear discriminant analysis. Mean sensitivity and specificity determined by iterated 10-fold cross validation were 96 and 99 %, respectively, for the distinction of leucocytes extracted from blood, breast cancer cells BT-20 and MCF-7, and leukaemia cells OCI-AML3.

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Year:  2013        PMID: 23371531     DOI: 10.1007/s00216-013-6726-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  9 in total

1.  Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions.

Authors:  Kang Soo Lee; Fátima C Pereira; Márton Palatinszky; Lars Behrendt; Uria Alcolombri; David Berry; Michael Wagner; Roman Stocker
Journal:  Nat Protoc       Date:  2020-12-11       Impact factor: 13.491

Review 2.  Single mode waveguide platform for spontaneous and surface-enhanced on-chip Raman spectroscopy.

Authors:  Ashim Dhakal; Frédéric Peyskens; Stéphane Clemmen; Ali Raza; Pieter Wuytens; Haolan Zhao; Nicolas Le Thomas; Roel Baets
Journal:  Interface Focus       Date:  2016-08-06       Impact factor: 3.906

3.  Microfluidic chip for non-invasive analysis of tumor cells interaction with anti-cancer drug doxorubicin by AFM and Raman spectroscopy.

Authors:  Han Zhang; Lifu Xiao; Qifei Li; Xiaojun Qi; Anhong Zhou
Journal:  Biomicrofluidics       Date:  2018-04-27       Impact factor: 2.800

4.  An automated Raman-based platform for the sorting of live cells by functional properties.

Authors:  Kang Soo Lee; Márton Palatinszky; Fátima C Pereira; Jen Nguyen; Vicente I Fernandez; Anna J Mueller; Filippo Menolascina; Holger Daims; David Berry; Michael Wagner; Roman Stocker
Journal:  Nat Microbiol       Date:  2019-03-18       Impact factor: 17.745

5.  Ratiometric Mass Spectrometry for Cell Identification and Quantitation Using Intracellular "Dual-Biomarkers".

Authors:  Xiaoming Chen; Fangjie Wo; Jiang Chen; Jie Tan; Tao Wang; Xiao Liang; Jianmin Wu
Journal:  Sci Rep       Date:  2017-12-12       Impact factor: 4.379

6.  Surface-enhanced Raman spectroscopy of cell lysates mixed with silver nanoparticles for tumor classification.

Authors:  Mohamed Hassoun; Iwan W Schie; Tatiana Tolstik; Sarmiza E Stanca; Christoph Krafft; Juergen Popp
Journal:  Beilstein J Nanotechnol       Date:  2017-06-01       Impact factor: 3.649

7.  Use of Surface-Enhanced Raman Scattering (SERS) Probes to Detect Fatty Acid Receptor Activity in a Microfluidic Device.

Authors:  Han Zhang; Wei Zhang; Lifu Xiao; Yan Liu; Timothy A Gilbertson; Anhong Zhou
Journal:  Sensors (Basel)       Date:  2019-04-08       Impact factor: 3.576

Review 8.  Raman Spectroscopy-A Novel Method for Identification and Characterization of Microbes on a Single-Cell Level in Clinical Settings.

Authors:  Katarina Rebrosova; Ota Samek; Martin Kizovsky; Silvie Bernatova; Veronika Hola; Filip Ruzicka
Journal:  Front Cell Infect Microbiol       Date:  2022-04-22       Impact factor: 6.073

9.  Non-invasive Chamber-Specific Identification of Cardiomyocytes in Differentiating Pluripotent Stem Cells.

Authors:  Eva Brauchle; Anne Knopf; Hannah Bauer; Nian Shen; Sandra Linder; Michael G Monaghan; Kornelia Ellwanger; Shannon L Layland; Sara Y Brucker; Ali Nsair; Katja Schenke-Layland
Journal:  Stem Cell Reports       Date:  2016-01-14       Impact factor: 7.765

  9 in total

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