2011
DOI: 10.1002/rcm.5060
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Performance evaluation on a wide set of matrix‐assisted laser desorption ionization matrices for the detection of oligosaccharides in a high‐throughput mass spectrometric screening of carbohydrate depolymerizing enzymes

Abstract: Compared to other analytical methods, matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) presents several unique advantages for the structural characterization of degradation products of carbohydrates. Our final goal is to implement this technique as a high-throughput platform, with the aim of exploring natural bio-diversity to discover new carbohydrate depolymerizing enzymes. In this approach, a variety of carbohydrates will be used as enzymes substrates and MALDI-MS will be employed to … Show more

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Cited by 54 publications
(38 citation statements)
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References 26 publications
(30 reference statements)
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“…An ionic DHB/DMA matrix that was previously demonstrated to be suitable for the detection of many oligosaccharides (Ropartz et al , 2011) was used in this study. The matrix was prepared as an equimolar mixture of DHB and DMA (DHB 100mg ml –1 in H 2 O/ACN/DMA, 1:1:0.02).…”
Section: Methodsmentioning
confidence: 99%
“…An ionic DHB/DMA matrix that was previously demonstrated to be suitable for the detection of many oligosaccharides (Ropartz et al , 2011) was used in this study. The matrix was prepared as an equimolar mixture of DHB and DMA (DHB 100mg ml –1 in H 2 O/ACN/DMA, 1:1:0.02).…”
Section: Methodsmentioning
confidence: 99%
“…Samples were mixed with the ionic liquid matrix DMA/DHB, which was prepared and used as previously reported (Ropartz et al, 2011). Three replicates per hydrolysis were prepared.…”
Section: Water Contentmentioning
confidence: 99%
“…Mass spectra were automatically processed with Flex Analysis 3.0 software (Bruker Daltonics). A mixture of 2,5-dihydroxybenzoic acid and N-dimethylaniline was used as ionic matrix, and samples were prepared as described previously (Ropartz et al, 2011).…”
Section: Cell Wall Analysesmentioning
confidence: 99%