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metabolites were identified by searching database, and the main databases were the HMDB (http://www.hmdb.ca), Metlin (https://metlin.scripps.edu) and Majorbio Database.&lt;/p>&lt;p>&lt;br>&lt;/p>&lt;p>The data were analyzed through the free online platform of majorbio choud platform (cloud.majorbio.com). Metabolic features detected at least 80% in any set of samples were retained. After filtering, minimum metabolite values were imputed for specific samples in which the metabolite levels fell below the lower limit of quantitation, and each Metabolic features were normalized by sum. To reduce the errors caused by sample preparation and instrument instability, the response intensity of the sample mass spectrum peaks was normalized by the sum normalization method, and then the normalized data matrix was obtained. Meanwhile, variables with relative standard deviation (RSD) &amp;gt; 30% of QC samples were removed, and log10 processing was performed to obtain the final data matrix for subsequent analysis.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Liquid Chromatography MS - negative - reverse phase</instrument_platform><instrument_platform>Liquid Chromatography MS - positive - reverse phase</instrument_platform><chromatography_protocol>&lt;p>The LC-MS/MS analysis of sample was conducted on a Thermo UHPLC-Q Exactive system equipped with an ACQUITY HSS T3 column (100 mm x 2.1 mm i.d., 1.8 μm; Waters, USA) at Majorbio Bio-Pharm Technology Co. Ltd (Shanghai, China). The mobile phases consisted of 0.1% formic acid in water:acetonitrile (95:5, v/v) (solvent A) and 0.1% formic acid inacetonitrile:isopropanol:water (47.5:47.5, v/v) (solvent B). The flow rate was 0.40 mL/min and the column temperature was 40 °C.&lt;/p></chromatography_protocol><publication>Metagenomics and untargeted metabolomics analyses to unravel the formation mechanism of characteristic metabolites in mung bean sour liquid during different fermentation stages.</publication><submitter_name>wei chen</submitter_name><submitter_affiliation>Luoyang Polytechnic</submitter_affiliation><organism_part>liquid</organism_part><technology_type>mass spectrometry</technology_type><disease></disease><extraction_protocol>&lt;p>Briefly, 100 μL liquid sample was added to a 1.5 mL centrifuge tube with 400 μL solution (acetonitrile:methanol, 1:1, v:v) containing 0.02 mg/mL internal standard (L-2-chlorophenylalanine) to extract metabolites. The samples were mixed by vortex for 30 s and low-temperature sonicated for 30 min (5 °C, 40 KHz).The samples were placed at -20 °C for 30 min to precipitate the proteins.Then the samples were centrifuged for 15 min (4 °C, 13,000 x g).The supernatant was removed and blown dry under nitrogen. The sample was then re-solubilized with 100 µL solution (acetonitrile:water, 1:1) and extracted by low-temperature ultrasonication for 5 min (5 °C, 40 KHz), followed by centrifugation at 13,000 x g and 4 °C for 10 min. The supernatant was transferred to sample vials for LC-MS/MS analysis.&lt;/p></extraction_protocol><organism>Microbiota</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS12446</full_dataset_link><author>wei chen. Luoyang polytechnic. No. 6, Keji Avenue, Yibin District, Luoyang City, Henan Province, China. chenwi6@163.com.</author><author>lin zhang. zlhelen@163.com.</author><data_transformation_protocol>&lt;p>The pretreatment of LC-MS raw data was performed by Progenesis QI (Waters Corporation, Milford, USA) software, and a 3D data matrix in CSV format was exported. The information in this 3D matrix included: sample information, metabolite name and mass spectral response intensity. Internal standard peaks, as well as any known false positive peaks (including noise, column bleed and derivatized reagent peaks), were removed from the data matrix, deredundant and peak pooled.&lt;/p></data_transformation_protocol><study_factor>Sampling time</study_factor><submitter_email>chenwi6@163.com</submitter_email><sample_collection_protocol>&lt;p>MBSL samples were obtained from Wangjia Workshop, a traditional fermentation facility in Luoyang, China. In total 6 biologically independent batches were fermented at ambient temperature (5-10 °C) to simulate traditional production conditions. From each batch, samples were aseptically collected at 4 fermentation stages: initial (1 h, C01h), early (6 h, S06h), mid (12 h, S12h) and late (24 h, S24h) phases. Prior to collection, samples were homogenized by gentle stirring to ensure uniformity. All samples were flash-frozen in liquid nitrogen, stored at -80 °C and transported on dry ice to Majorbio Bio-Pharm Technology Co., Ltd (Shanghai, China).&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>LCMS analysis</study_design><study_design>Fermented food</study_design><study_design>untargeted metabolites</study_design><curator_keywords>LCMS analysis</curator_keywords><curator_keywords>Fermented food</curator_keywords><curator_keywords>untargeted metabolites</curator_keywords><mass_spectrometry_protocol>&lt;p>The UPLC system was coupled to a Thermo UHPLC-Q Exactive Mass Spectrometer equipped with an electrospray ionization (ESI) source operating in positive mode and negative mode. The optimal conditions were set as followed: source temperature at 400 °C; sheath gas flow rate at 40 arb; Aux gas flow rate at 10 arb; ion-spray voltage floating (ISVF) at -2800 V in negative mode and 3500 V in positive mode, respectively; Normalized collision energy, 20-40-60 V rolling for MS/MS. Full MS resolution was 70000 and MS/MS resolution was 17500. Data acquisition was performed with the Data Dependent Acquisition (DDA) mode. The detection was carried out over a mass range of 70-1050 m/z.&lt;/p></mass_spectrometry_protocol></additional><is_claimable>false</is_claimable><name>Metagenomics and untargeted metabolomics analyses to unravel the formation mechanism of characteristic metabolites in mung bean sour liquid during different fermentation stages</name><description>Using LC-MS metabolomics technology, identify the key metabolites during the fermentation of Mung bean sour liquid (MBSL) and analyze their categories. Study the dynamic changes of these metabolites at different fermentation stages, clarify the relationships between the metabolites and the flavor (such as umami taste) and functional properties (such as antioxidant property) of MBSL, and explore the interactions between the microbial communities (such as Lactobacillus and Lactococcus) and the metabolites as well as the regulatory mechanisms of metabolic pathways, so as to provide a theoretical basis for optimizing the production of MBSL, improving product quality, and developing related functional foods.</description><dates><publication>2025-07-01</publication><submission>2025-05-01</submission></dates><accession>MTBLS12446</accession><cross_references/></HashMap>