2018
DOI: 10.1021/acs.energyfuels.7b03204
|View full text |Cite
|
Sign up to set email alerts
|

Positive Ion Electrospray Ionization Suppression in Petroleum and Complex Mixtures

Abstract: Since the emergence of high resolving power crude oil mass spectrometry two decades ago, hundreds of publications and presentations have detailed petroleum complex mixtures by electrospray ionization (ESI) mass spectrometry (MS). None of these works have reported or detailed ion suppression (also referred to as ionization biasing or matrix effects) which is a well-known feature of ESI. Here, we show the extreme consequences of ionization biasing within a narrow, 1 order of magnitude concentration range for cru… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
43
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 46 publications
(44 citation statements)
references
References 53 publications
1
43
0
Order By: Relevance
“…For this reason, we recommend not surpassing total metabolomics product concentrations of 100 μg/ml, which is similar to the limitations endorsed for petroleomics studies. 23 The Orbitrap Fusion showed a major advantage in speed of analysis at very high resolution, enabling detection of 218 of 440 unique masses present in a complex mixture in 5 min. Of course, a rapid analysis time is of primary importance to high-throughput complex mixture analyses that seek to profit from high resolution mass spectrometry in the absence of chromatography.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…For this reason, we recommend not surpassing total metabolomics product concentrations of 100 μg/ml, which is similar to the limitations endorsed for petroleomics studies. 23 The Orbitrap Fusion showed a major advantage in speed of analysis at very high resolution, enabling detection of 218 of 440 unique masses present in a complex mixture in 5 min. Of course, a rapid analysis time is of primary importance to high-throughput complex mixture analyses that seek to profit from high resolution mass spectrometry in the absence of chromatography.…”
Section: Discussionmentioning
confidence: 99%
“…19,20 The modeling of the signal suppression phenomenon was further advanced by Enke 21,22 who, using an equilibrium partition model, emphasized the surface-activity aspect of desorption, arguing that lower response factors could be expected from less surface-active ionic species. Signal suppression during ESI-MS has more recently been studied in the context of "petroleomics" investigations 23,24 that employ "dilute and shoot" direct infusion for introduction of highly complex petreoleum crude oil samples. To date, FT-ICR 25 has been used in the vast majority of ultra-high-resolution MS analyses for petroleomics, but the use of Orbitrap analyzers has also been making strides.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The most likely point of protonation on the steroid molecule is at the hydroxyl (OH) group 58 . Many biologically important molecules, such as the steroids studied herein, cannot be easily ionized using the typical paper spray solvent (methanol/ water (1:1, v/v)) due to ion suppression 59 . This is because many biological samples contain salts, and many ions compete for charge 60 .…”
Section: Direct Analysis and Solvent Optimization Of Free Steroids Inmentioning
confidence: 99%
“…On the other hand, ultra-high resolution mass spectrometry (FT-ICR MS) provides an unsurpassed level of detail and usually more than 10 times faster than GC×GC-NCD analysis hence improving analysis efficiency. FT-ICR MS is often coupled to electrospray ionization (ESI) to characterize polar compounds within complex mixtures but ESI undergoes important and complex ionization competition phenomena between the compounds of interest as well as possible different ionization responses depending on the samples (matrix effect) [7][8][9]. On the other hand, multiple linear regression (MLR) can be used to quantify some complex analytes while considering the matrix effect related to the analytical method used that could prevent the quantification [10,11].…”
Section: Introductionmentioning
confidence: 99%