Untargeted metabolomics based on UHPLC-Q-Exactive-MS reveals metabolite and taste quality differences between Koshihikari rice from China and Japan

Characterization of Differential Markers among Crude Oil Samples Using UPLC-QE-MS/MS and Multivariate Statistical Analysis

“…It has been extensively utilized in metabolomics 6 and proteomics research. 7 In 2011, it was confirmed that the composition fingerprints obtained by FT-ICR and Orbitrap analysis of crude oil samples were essentially the same. As a result, Orbitrap MS has been recommended as a conventional method for analyzing the composition of non-volatile and polar components of petroleum.…”

“…The Q Exactive Plus Orbitrap Mass Spectrometer, for instance, boasts a resolution of 140,000 full width at half-maximum and a scanning accuracy of less than 1 ppm, making it suitable for analyzing complex mixtures. It has been extensively utilized in metabolomics and proteomics research . In 2011, it was confirmed that the composition fingerprints obtained by FT-ICR and Orbitrap analysis of crude oil samples were essentially the same.…”

Geographical origin traceability of rice using a FTIR-based metabolomics approach

“…A great advantage of the metabolomics approach is that it can achieve accurate traceability when the number of samples is much smaller than the variables. [35][36][37][38][39][40] Theoretically speaking, it is feasible to use the metabolomics method to achieve the origin traceability by finding the metabolites (i.e., 'biomarkers') of an organism with significant differences between a control group and an experimental group, that is to say, just two group samples are enough to realize the origin traceability of an organism. [35][36][37][38][39][40] To date, metabolomics has widely been used in the origin traceability of rice.…”

“…[35][36][37][38][39][40] Theoretically speaking, it is feasible to use the metabolomics method to achieve the origin traceability by finding the metabolites (i.e., 'biomarkers') of an organism with significant differences between a control group and an experimental group, that is to say, just two group samples are enough to realize the origin traceability of an organism. [35][36][37][38][39][40] To date, metabolomics has widely been used in the origin traceability of rice. [35][36][37][38][39][40] In this study, we try to find wave numbers with absorbance significantly different between the specific rice group and other rice groups as 'wave number markers', which enlighten us from Fourier-Transform InfraRed (FTIR) spectroscopy recognized as a crucial tool for metabolic fingerprinting, [41][42][43][44] as it is capable of analyzing proteins, polysaccharides, carbohydrates, fatty acids, lipids and nucleic acids rapidly and simultaneously with a minimum amount of sample preparation or background training.…”

“…[35][36][37][38][39][40] To date, metabolomics has widely been used in the origin traceability of rice. [35][36][37][38][39][40] In this study, we try to find wave numbers with absorbance significantly different between the specific rice group and other rice groups as 'wave number markers', which enlighten us from Fourier-Transform InfraRed (FTIR) spectroscopy recognized as a crucial tool for metabolic fingerprinting, [41][42][43][44] as it is capable of analyzing proteins, polysaccharides, carbohydrates, fatty acids, lipids and nucleic acids rapidly and simultaneously with a minimum amount of sample preparation or background training.…”