Prosiectau fesul blwyddyn
Crynodeb
Producing a comprehensive overview of the chemical content of biologically-derived material is a major challenge. Apart from ensuring adequate metabolome coverage and issues of instrument dynamic range,mass resolution
and sensitivity, there are major technical difficulties associated with data pre-processing and signal identification when attempting large scale, high-throughput experimentation. To address these factors direct infusion or flow infusion electrospray mass spectrometry has been finding utility as a high
throughput metabolite fingerprinting tool. With little sample pre-treatment, no chromatography and instrument cycle times of less than 5 min it is feasible to analyse more than 1,000 samples per week. Data pre-processing is limited to aligning extracted mass spectra and mass-intensity matrices are generally
ready in a working day for a month’s worth of data mining and hypothesis generation. ESI-MS fingerprinting has remained rather qualitative by nature and as such ion suppression does not generally compromise data information content as originally suggested when the methodology was first introduced. This review will describe how the quality of data has improved through use of nano-flow infusion and mass-windowing approaches, particularly when using high resolution instruments. The increasingly wider availability of robust high accuratemass instruments actually promotes ESIMS from a merely fingerprinting tool to the ranks of metabolite profiling and combined with MS/MS capabilities of hybrid instruments improved structural information is available concurrently. We summarise current applications in a wide range of fields where ESI-MS fingerprinting has proved to be an excellent tool for ‘‘first pass’’ metabolome analysis of complex biological samples. The final part of the review describes a typical workflow with reference to recently published
data to emphasise key aspects of overall experimental design.
and sensitivity, there are major technical difficulties associated with data pre-processing and signal identification when attempting large scale, high-throughput experimentation. To address these factors direct infusion or flow infusion electrospray mass spectrometry has been finding utility as a high
throughput metabolite fingerprinting tool. With little sample pre-treatment, no chromatography and instrument cycle times of less than 5 min it is feasible to analyse more than 1,000 samples per week. Data pre-processing is limited to aligning extracted mass spectra and mass-intensity matrices are generally
ready in a working day for a month’s worth of data mining and hypothesis generation. ESI-MS fingerprinting has remained rather qualitative by nature and as such ion suppression does not generally compromise data information content as originally suggested when the methodology was first introduced. This review will describe how the quality of data has improved through use of nano-flow infusion and mass-windowing approaches, particularly when using high resolution instruments. The increasingly wider availability of robust high accuratemass instruments actually promotes ESIMS from a merely fingerprinting tool to the ranks of metabolite profiling and combined with MS/MS capabilities of hybrid instruments improved structural information is available concurrently. We summarise current applications in a wide range of fields where ESI-MS fingerprinting has proved to be an excellent tool for ‘‘first pass’’ metabolome analysis of complex biological samples. The final part of the review describes a typical workflow with reference to recently published
data to emphasise key aspects of overall experimental design.
Iaith wreiddiol | Saesneg |
---|---|
Tudalennau (o-i) | S4–S29 |
Nifer y tudalennau | 26 |
Cyfnodolyn | Metabolomics |
Cyfrol | 9 |
Rhif cyhoeddi | 1 Supplement |
Dyddiad ar-lein cynnar | 29 Gorff 2012 |
Dynodwyr Gwrthrych Digidol (DOIs) | |
Statws | Cyhoeddwyd - Maw 2013 |
Ôl bys
Gweld gwybodaeth am bynciau ymchwil 'Flow infusion electrospray ionisation mass spectrometry for high throughput, non-targeted metabolite fingerprinting: A Review'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.Prosiectau
- 1 Wedi Gorffen
-
Metabolomics to Characterise Diet
Draper, J. (Prif Ymchwilydd)
01 Awst 2012 → 31 Gorff 2017
Prosiect: Ymchwil a ariannwyd yn allanol