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Tandem Mass Spectrometry

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Benzoyl Chloride Derivatization Coupled With Liquid Chromatography-Mass Spectrometry for the Simultaneous Quantification of Molnupiravir and Its Metabolite β-d-N-hydroxycytidine in Human Plasma.

Journal of separation science
A sensitive and efficient method for simultaneous quantifying molnupiravir and its active metabolite β-d-N-hydroxycytidine in human plasma was developed by combining chemical derivatization with liquid chromatography-tandem mass spectrometry. Through...

LC-MS/MS-Based Assay for Steroid Profiling in Peripheral and Adrenal Venous Samples for the Subtyping of Primary Aldosteronism.

Journal of clinical hypertension (Greenwich, Conn.)
Given the largely unexplored application of liquid chromatography-tandem mass spectrometry (LC-MS/MS) steroid analysis in primary aldosteronism (PA), we aimed to investigate its diagnostic utility in PA classification and to characterize steroid secr...

Precise classification of traditional Chinese medicine sources using intelligent fusion of hyperspectral imaging-mass spectrometry data combined with machine learning: A case study of American ginseng.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The application of artificial intelligence in traditional Chinese medicine (TCM) has become a hot topic in the scientific community. American ginseng (AG), a perennial herb with a rich history, is widely utilized in clinical settings due to its diver...

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration.

Scientific reports
In this study, the biological activities of the extracts obtained under optimum extraction conditions of the kernel part of Juglans regia L. were determined. Two different methods, Response Surface Method (RSM) and Artificial Neural Network-Genetic A...

FIORA: Local neighborhood-based prediction of compound mass spectra from single fragmentation events.

Nature communications
Non-targeted metabolomics holds great promise for advancing precision medicine and biomarker discovery. However, identifying compounds from tandem mass spectra remains a challenging task due to the incomplete nature of spectral reference libraries. A...

SWAPS: A Modular Deep-Learning Empowered Peptide Identity Propagation Framework Beyond Match-Between-Run.

Journal of proteome research
Mass spectrometry (MS)-based proteomics relies heavily on MS/MS (MS2) data, which do not fully exploit the available MS1 information. Traditional peptide identity propagation (PIP) methods, such as match-between-runs (MBR), are limited to similar run...

Lab-made open-source controlled robotic workstation for sorbent-based dispersive microextraction of low-volume samples.

Analytica chimica acta
BACKGROUND: Despite microextraction techniques have gained prominence over traditional extraction ones, they usually involve repetitive and tedious manual procedures. Full or partial automation could help alleviate this drawback. Even though commerci...

Deep Learning-Based Prediction of Decoy Spectra for False Discovery Rate Estimation in Spectral Library Searching.

Journal of proteome research
With the advantage of extensive coverage, predicted spectral libraries are becoming an attractive alternative in proteomic data analysis. As a popular false discovery rate estimation method, target decoy search has been adopted in library search work...

Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia.

Scientific reports
To study the differences in the urine metabolome between pediatric patients with severe Mycoplasma pneumoniae pneumonia (SMPP) and those with general Mycoplasma pneumoniae pneumonia (GMPP) via non-targeted metabolomics method, and potential biomarker...