Achieving Sub-Parts-per-Million Mass Measurement Accuracy on an Orbitrap Mass Spectrometry Imaging Platform without Automatic Gain Control

Review Spectroscopy

The development and application of matrix assisted laser desorption electrospray ionization: The teenage years

Michael Caleb Bagley et al.

Summary: In the past 15 years, ambient ionization techniques, particularly matrix-assisted laser desorption electrospray ionization, have made significant advancements in mass spectrometry imaging. These techniques have been developed and improved with different laser systems and mass spectrometers, leading to transformative developments in the imaging platform.

MASS SPECTROMETRY REVIEWS (2023)

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Article Biochemical Research Methods

Optimized C-Trap Timing of an Orbitrap 240 Mass Spectrometer for High-Throughput Screening and Native MS by IR-MALDESI

Kevan T. Knizner et al.

Summary: Infrared matrix-assisted laser desorption ionization (IR-MALDESI) combines the advantages of electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) and is a valuable tool for high-throughput screening (HTS) analysis. The optimized timing of the C-trap in IR-MALDESI can reduce ambient ion accumulation and maximize analyte ion accumulation. Additionally, this method can be used to measure intact antibodies in large molecules.

JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY (2022)

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Article Medicine, General & Internal

Exploratory Study on Application of MALDI-TOF-MS to Detect SARS-CoV-2 Infection in Human Saliva

Monique Melo Costa et al.

Summary: SARS-CoV-2 diagnosis utilizing MALDI-TOF MS profiling and ML models from salivary samples is an interesting supplementary tool for COVID-19 diagnosis. Despite the mitigated results obtained for convalescent patients (D10).

JOURNAL OF CLINICAL MEDICINE (2022)

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Article Biochemical Research Methods

Locality-sensitive hashing enables efficient and scalable signal classification in high-throughput mass spectrometry raw data

Konstantin Bob et al.

Summary: This study demonstrates the effectiveness of locality-sensitive hashing in signal classification in mass spectrometry raw data, achieving superior performance by balancing false-positive and false-negative rates through appropriate algorithm parameters. This approach significantly reduces data size while preserving important information in processing large-scale mass spectrometry data.

BMC BIOINFORMATICS (2022)

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Article Biochemical Research Methods

Novel matrix strategies for improved ionization and spatial resolution using IR-MALDESI mass spectrometry imaging

Russell R. Kibbe et al.

Summary: This study investigated glycerol as an alternative to the ice matrix in IR-MALDESI applications, finding that using a 50% glycerol matrix without ice can improve spatial resolution while reducing experiment time required.

JOURNAL OF MASS SPECTROMETRY (2022)

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Review Chemistry, Multidisciplinary

Emerging Computational Methods in Mass Spectrometry Imaging

Hang Hu et al.

Summary: This review provides a critical summary of computational methods and resources developed for MSI data analysis and interpretation, with a focus on recently developed artificial intelligence methods and a future outlook for transformative computational methods in MSI.

ADVANCED SCIENCE (2022)

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Article Biochemical Research Methods