Hollow-fiber flow field-flow fractionation for mass spectrometry: From proteins to whole bacteria

Pierluigi Reschiglian, Andrea Zattoni, Diana Cristina Rambaldi, Aldo Roda, Myeong Hee Moon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Mass spectrometry (MS) provides analyte identification over a wide molar-mass range. However, particularly in the case of complex matrices, this ability is often enhanced by the use of pre-MS separation steps. A separation, prototype technique for the "gentle" fractionation of large/ultralarge analytes, from proteins to whole cells, is here described to reduce complexity and maintain native characteristics of the sample before MS analysis. It is based on flow field-flow fractionation, and it employs a micro-volume fractionation channel made of a ca. 20 cm hollow-fiber membrane of sub-millimeter section. The key advantages of this technique lie in the low volume and low-cost of the channel, which makes it suitable to a disposable usage. Fractionation performance and instrumental simplicity make it an interesting methodology for in-batch or on-line pre-MS treatment of such samples.

Original languageEnglish
Title of host publicationDetection of Biological Agents for the Prevention of Bioterrorism
PublisherSpringer Verlag
Number of pages24
ISBN (Print)9789048198146
Publication statusPublished - 2011

Publication series

NameNATO Science for Peace and Security Series A: Chemistry and Biology
ISSN (Print)1874-6489

Bibliographical note

Funding Information:
Work supported by the University of Bologna, the Italian Ministry of Education, University and Research, the Italian Ministry of Foreign Affair, and by the Korea Foundation for the International Cooperation of Science & Technology (KICOS). MHM thanks for the grant support from Korea Research Foundation (KRF-2008-313-C00567).

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Safety, Risk, Reliability and Quality


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