Mass Spectrometry based Metabolomics for Small Molecule Metabolites Mining and Confirmation as Potential Biomarkers for Schistosomiasis – Case of the Okavango Delta Communities in Botswana

2021 ◽  
Author(s):  
Sedireng M. Ndolo ◽  
Matshediso Zachariah ◽  
Lebotse Molefi ◽  
Nthabiseng Phaladze ◽  
Kwenga F. Sichilongo
Keyword(s):  
Mass Spectrometry ◽  
Small Molecule ◽  
Okavango Delta ◽  
Potential Biomarkers

Mass Spectrometry Signal Amplification Method for Attomolar Detection of Antigens Using Small-Molecule-Tagged Gold Microparticles

2008 ◽  
Vol 120 (49) ◽  
pp. 9660-9663 ◽  
Author(s):  
Jung Rok Lee ◽  
Juhee Lee ◽  
Sang Kyung Kim ◽  
Kwang Pyo Kim ◽  
Hyung Soon Park ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Small Molecule ◽  
Signal Amplification ◽  
Amplification Method

scholarly journals Metabolic profiling putatively identifies plasma biomarkers of male infertility using UPLC-ESI-IT-TOFMS

RSC Advances ◽  
2018 ◽  
Vol 8 (46) ◽  
pp. 25974-25982 ◽  
Author(s):  
F. J. Zeng ◽  
H. C. Ji ◽  
Z. M. Zhang ◽  
J. K. Luo ◽  
H. M. Lu ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Male Infertility ◽  
Electrospray Ionization ◽  
Metabolic Profiling ◽  
Ion Trap ◽  
Time Of Flight ◽  
Ultra Performance Liquid Chromatography ◽  
Flight Mass Spectrometry ◽  
Potential Biomarkers

Ultra-performance liquid chromatography-electrospray ionization-ion trap-time of flight mass spectrometry combined with chemometrics methods was used to discover potential biomarkers of male infertility based on untargeted plasma metabolomics.

Matrix-enhanced nanostructure initiator mass spectrometry (ME-NIMS) for small molecule detection and imaging

2016 ◽  
Vol 8 (46) ◽  
pp. 8234-8240 ◽  
Author(s):  
Tara N. Moening ◽  
Victoria L. Brown ◽  
Lin He
Keyword(s):  
Mass Spectrometry ◽  
Small Molecule ◽  
Tissue Imaging ◽  
Enhanced Sensitivity ◽  
Ms Imaging ◽  
Small Molecule Detection

ME-NIMS MS imaging (right): significantly enhanced sensitivity over conventional NIMS (left) in tissue imaging.

Capture Compound Mass Spectrometry: A Technology for the Investigation of Small Molecule Protein Interactions

2007 ◽  
Vol 5 (3) ◽  
pp. 381-390 ◽  
Author(s):  
Hubert Köster ◽  
Daniel P. Little ◽  
Peng Luan ◽  
Rolf Muller ◽  
Suhaib M. Siddiqi ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Small Molecule ◽  
Protein Interactions

scholarly journals VOC Profiles of Saliva in Assessment of Halitosis and Submandibular Abscesses Using HS-SPME-GC/MS Technique

Molecules ◽  
2019 ◽  
Vol 24 (16) ◽  
pp. 2977 ◽  
Author(s):  
Fernanda Monedeiro ◽  
Maciej Milanowski ◽  
Ileana-Andreea Ratiu ◽  
Hubert Zmysłowski ◽  
Tomasz Ligor ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Solid Phase Microextraction ◽  
Solid Phase ◽  
Bacterial Activity ◽  
Statistical Relevance ◽  
Volatile Organic ◽  
Inflammatory Processes ◽  
Components Analysis ◽  
Potential Biomarkers

Halitosis and submandibular abscesses are examples of mouth-related diseases with the possible bacterial origin. Salivary volatile organic compounds (VOCs) are potential biomarkers of them, once they can be addressed as metabolites of bacterial activity. Healthy patients (n = 15), subjects with submandibular abscesses located in fascial deep space (n = 10), and subjects with halitosis (n = 5) were enrolled in the study. Saliva samples were subjected to headspace solid-phase microextraction (HS-SPME) and gas chromatography coupled to mass spectrometry (GC/MS) analysis. A total number of 164 VOCs was detected by the developed methodology, 23 specific for halitosis and 41 for abscess. Halitosis’ profiles were characterized by a larger number of sulfur compounds, while for abscess they had a higher variety of alcohols, aldehydes, and hydrocarbons—biomarkers of inflammatory processes. Principal components analysis allowed visualization of clusters formed according to the evaluated conditions. Kruskal-Wallis test indicated that 39 VOCs presented differentiated responses between the studied groups, with statistical relevance (p < 0.05). Random forest was applied, and a prediction model based on eight VOCs (2-butanone, methyl thioacetate, 2-methylbutanoic acid, S-methyl pentanethioate, dimethyl tetrasulfide, indolizine, pentadecane, and octadecanal) provided 100% of sensitivity, 82% of specificity, and 91% of balanced accuracy, indicating the specific presence of submandibular abscess.

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