Improved limit of detection of a high-resolution fs-LIMS instrument through mass-selective beam blanking

Gruchola, Salome; Koning, Coenraad de; Wiesendanger, Reto; Schmidt, Peter Keresztes; Riedo, Andreas; Grimaudo, Valentine; Lukmanov, Rustam; Ligterink, N. F. W.; Tulej, Marek; Würz, Peter

doi:10.1016/j.ijms.2022.116803

Cited by 1 publication

(3 citation statements)

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“…Further studies could also be improved by the usage of beam blanking technology, which was shown to improve the detection limits of various elements (Gruchola et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…In this contribution, we have used a newly developed highresolution fs-LIMS instrument (Wiesendanger et al, 2019;de Koning et al, 2021a;Gruchola et al, 2022) to chemically characterize the Gunflint chert sample (Barghoorn and Tyler, 1965;Alleon et al, 2017). The detailed description of instrument figures of merit and performance estimations on NIST standard materials has been recently reported.…”

Section: Sample and Methodsmentioning

confidence: 99%

“…Fast mass separation and ion detection technology (Riedo et al, 2017) make LIMS instruments applicable to the imaging tasks of various samples (Wurz et al, 2020)-ranging from biological tissue characterization (Cui et al, 2013) to mineralogical and chemical investigations of rocks-up to the identification of impurities in dielectrics and interconnects from the semiconductor industry (Wiesendanger et al, 2018;Grimaudo et al, 2019;Tulej et al, 2021b). The high sensitivity of such instruments (de Gruchola et al, 2022) makes them an invaluable analytical technique in many application areas (Neuland et al, 2016;Stevens et al, 2019;Ligterink et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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High Mass Resolution fs-LIMS Imaging and Manifold Learning Reveal Insight Into Chemical Diversity of the 1.88 Ga Gunflint Chert

Lukmanov

Koning

Schmidt

et al. 2022

Front. Space Technol.

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Extraction of useful information from unstructured, large and complex mass spectrometric signals is a challenge in many application fields of mass spectrometry. Therefore, new data analysis approaches are required to help uncover the complexity of such signals. In this contribution, we examined the chemical composition of the 1.88 Ga Gunflint chert using the newly developed high mass resolution laser ionization mass spectrometer (fs-LIMS-GT). We report results on the following: 1) mass-spectrometric multi-element imaging of the Gunflint chert sample; and 2) identification of multiple chemical entities from spatial mass spectrometric data utilizing nonlinear dimensionality reduction and spectral similarity networks. The analysis of 40′000 mass spectra reveals the presence of chemical heterogeneity (seven minor compounds) and two large clusters of spectra registered from the organic material and inorganic host mineral. Our results show the utility of fs-LIMS imaging in combination with manifold learning methods in studying chemically diverse samples.

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“…Further studies could also be improved by the usage of beam blanking technology, which was shown to improve the detection limits of various elements (Gruchola et al, 2022).…”

Section: Discussionmentioning

confidence: 99%