49 research outputs found

    Microbial succession and its effect on the formation of umami peptides during sufu fermentation

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    Sufu, a traditional Chinese fermented food, is famous for its unique flavor, especially umami. However, the formation mechanism of its umami peptides is still unclear. Here, we investigated the dynamic change of both umami peptides and microbial communities during sufu production. Based on peptidomic analysis, 9081 key differential peptides were identified, which mainly involved in amino acid transport and metabolism, peptidase activity and hydrolase activity. Twenty-six high-quality umami peptides with ascending trend were recognized by machine learning methods and Fuzzy c-means clustering. Then, through correlation analysis, five bacterial species (Enterococcus italicus, Leuconostoc citreum, L. mesenteroides, L. pseudomesenteroides, Tetragenococcus halophilus) and two fungi species (Cladosporium colombiae, Hannaella oryzae) were identified to be the core functional microorganisms for umami peptides formation. Functional annotation of five lactic acid bacteria indicated their important functions to be carbohydrate metabolism, amino acid metabolism and nucleotide metabolism, which proved their umami peptides production ability. Overall, our results enhanced the understanding of microbial communities and the formation mechanism of umami peptides in sufu, providing novel insights for quality control and flavor improvement of tofu products

    Prevalence and Related Factors of Rupture among Cases with Ectopic Pregnancy; a Systematic Review and Meta‐Analysis

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    Introduction: In the absence of timely treatment, the risk of rupture in patients with ectopic pregnancy (EP) increases, which is associated with extensive bleeding, complicated surgery, and maternal death. This study aimed to investigate the prevalence of rupture and its related factors among EP cases. Methods: A comprehensive, systematic search was conducted in electronic databases, such as Scopus, PubMed, Web of Science, and Persian electronic databases such as Iranmedex, and Scientific Information Database using keywords extracted from Medical Subject Headings such as "Ectopic pregnancies", "Extrauterine pregnancies", and "Ruptured ectopic pregnancy" from the earliest to the 13th of December 2022. The CMA program, version 3, was utilized for analysis. The overall effect size was calculated using the sample size and the frequency of rupture in each of the studies. Heterogeneity was measured using the I2 statistics. Results: A total of 5,269 women with EP participated in 17 studies. The pooled prevalence of rupture was 56.4% (95%CI: 44.9% to 67.2%; I2=98.09%; P<0.001). Factors such as number of parties, amount of β-hCG, age, history of ectopic pregnancy, cornual and isthmic pregnancies, gestational age, number of gravidities, history of tubal ligation, tubal diameters, periods of infertility, history of infertility, pregnancy by ovulation induction, extensive hemoperitoneum, ampullar and isthmic pregnancies, ampullar pregnancies, preoperative heart rate (HR), triage, triage shock index (SI), abdominal pain, single marital status, preoperative hemoglobin levels, preoperative hematocrit levels, history of pelvic inflammatory disease (PID), and use of contraceptives were associated with the prevalence of rupture in EP cases. Conclusion: Based on the findings, 56.4% of EP cases experienced rupture and various factors influence its  prevalence. As a result, health managers and policymakers can address and mitigate modifiable factors contributing to rupture in EP cases by implementing regular consultations and screenings

    Table_1_Microbial succession and its effect on the formation of umami peptides during sufu fermentation.DOCX

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    Sufu, a traditional Chinese fermented food, is famous for its unique flavor, especially umami. However, the formation mechanism of its umami peptides is still unclear. Here, we investigated the dynamic change of both umami peptides and microbial communities during sufu production. Based on peptidomic analysis, 9081 key differential peptides were identified, which mainly involved in amino acid transport and metabolism, peptidase activity and hydrolase activity. Twenty-six high-quality umami peptides with ascending trend were recognized by machine learning methods and Fuzzy c-means clustering. Then, through correlation analysis, five bacterial species (Enterococcus italicus, Leuconostoc citreum, L. mesenteroides, L. pseudomesenteroides, Tetragenococcus halophilus) and two fungi species (Cladosporium colombiae, Hannaella oryzae) were identified to be the core functional microorganisms for umami peptides formation. Functional annotation of five lactic acid bacteria indicated their important functions to be carbohydrate metabolism, amino acid metabolism and nucleotide metabolism, which proved their umami peptides production ability. Overall, our results enhanced the understanding of microbial communities and the formation mechanism of umami peptides in sufu, providing novel insights for quality control and flavor improvement of tofu products.</p

    Construction of Fourier Transform Near Infrared Spectroscopy Prediction Model for Main Components in Lycium ruthenicum Murr

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    A quantitative method of main components (total sugar, reducing sugar, total acid, ammonia nitrogen, anthocyanins, procyanidins, total phenols, flavonoids and polysaccharides) in Lycium ruthenicum Murr was developed using Fourier transform near infrared spectroscopy (FT-NIR) combined with chemometric analysis. Firstly, 11 pretreatment methods were compared for the original spectra, and the optimal pretreatment method of each component was selected. Then, the model results established by partial least squares (PLS), interval partial least squares (iPLS) and synergistic interval partial least squares (siPLS) algorithms were compared, and finally siPLS was adopted for modeling. The results showed that the correlation coefficient of calibration (Rc) and prediction (RP) of total acids, ammonia nitrogen, anthocyanins, procyanidins, total phenols and flavonoids were all greater than 0.9818, and the relative analysis error (RPD) was more than 2.5, indicating an excellent model performance. The modeling effect of total sugar, reducing sugar, and polysaccharide was also good. The established calibration models could be used for actual detection. The predicted values of the verification samples did not significantly differ from the measured values, with a prediction error of only ±0.1%. Therefore, the prediction model had high reliability. The prediction model established in this study can enable nondestructive, rapid and accurate main components in dried and fresh fruits of Lycium ruthenicum Murr

    Integrated meta-omics approaches reveal Saccharopolyspora as the core functional genus in huangjiu fermentations

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    Abstract Identification of the core functional microorganisms in food fermentations is necessary to understand the ecological and functional processes for making those foods. Wheat qu, which provides liquefaction and saccharifying power, and affects the flavor quality, is a key ingredient in ancient alcoholic huangjiu fermentation, while core microbiota of them still remains indistinct. In this study, metagenomics, metabolomics, microbial isolation and co-fermentation were used to investigate huangjiu. Although Aspergillus is usually regarded as core microorganism in wheat qu to initiate huangjiu fermentations, our metagenomic analysis showed that bacteria Saccharopolyspora are predominant in wheat qu and responsible for breakdown of starch and cellulose. Metabolic network and correlation analysis showed that Saccharopolyspora rectivirgula, Saccharopolyspora erythraea, and Saccharopolyspora hirsuta made the greatest contributions to huangjiu’s metabolites, consisting of alcohols (phenylethanol, isoamylol and isobutanol), esters, amino acids (Pro, Arg, Glu and Ala) and organic acids (lactate, tartrate, acetate and citrate). S. hirsuta J2 isolated from wheat qu had the highest amylase, glucoamylase and protease activities. Co-fermentations of S. hirsuta J2 with S. cerevisiae HJ resulted in a higher fermentation rate and alcohol content, and huangjiu flavors were more similar to that of traditional huangjiu compared to co-fermentations of Aspergillus or Lactiplantibacillus with S. cerevisiae HJ. Genome of S. hirsuta J2 contained genes encoding biogenic amine degradation enzymes. By S. hirsuta J2 inoculation, biogenic amine content was reduced by 45%, 43% and 62% in huangjiu, sausage and soy sauce, respectively. These findings show the utility of Saccharopolyspora as a key functional organism in fermented food products

    Conversion of Baijiu distillers’ grains to functional peptides: Process optimization and antioxidant activity evaluation

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    Distiller’s grains resourcing is a crucial problem for the sustainable development of the Chinese Baijiu industry. In order to improve the protein utilization of distiller’s grains. In this study, distiller’s grains pretreated by wet crushing combined with amylase/cellulase were further hydrolyzed with neutral protease combined with papain at 50 °C for 3 h. The hydrolysates were decolorized by 1% coconut shell activated carbon for 15 min, and separated and purified by macroporous resin and Sephadex gel to yield peptide fractions (F1, F2, F3 and F4). The F3 fraction with the highest radical scavenging activity was analyzed by nano-LC-MS/MS and peptidomics to identify peptides. Three peptides (especially newly discovered AAHVLAAAFL) displayed strong alcohol solubility and antioxidant activity and were stably bound to key regulatory pathway receptors (Keap1-Nrf2) and myeloperoxidase (MPO), further elucidating molecular mechanism of anti-oxidation. These findings provided knowledge for potential functional peptide candidates and facilitates the high-value commercial development of distiller’s grains

    Non-Alcoholic Components in Huangjiu as Potential Factors Regulating the Intestinal Barrier and Gut Microbiota in Mouse Model of Alcoholic Liver Injury

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    Different alcoholic beverages and drinking patterns might exert divergent impacts on alcoholic liver disease (ALD) progression. Whether the abundant non-alcoholic components (NAC) in fermented wine could alleviate ethanol (EtOH)-induced adverse influences on the liver remains unknown. Hence, the chronic ALD mouse model was established to compare the effects of Huangjiu (a typical fermented wine) and EtOH feeding on the liver, intestinal barrier, gut microbiota, and intestinal short-chain fatty acids (SCFAs) content. Although Huangjiu intake led to slight hepatic steatosis, it mitigated oxidative stress, inflammation, and intestinal damage relative to EtOH intake. In comparison with EtOH feeding, Huangjiu significantly improved the intestinal barrier integrity and reduced hepatic lipopolysaccharide levels by up-regulating the expression of intestinal tight junction proteins (ZO-1 and occludin) and antimicrobial activity peptides (Reg3&beta; and Reg3&gamma;). The administration of Huangjiu NAC partially restored alcohol-induced gut microbiota dysbiosis via recovering the abundance of Lactobacillus, Faecalibaculum, and Akkermansia. Moreover, mice receiving Huangjiu showed higher SCFAs levels (such as acetic acid and butyric acid) than those receiving EtOH. Huangjiu consumption resulted in lower hepatotoxicity than pure EtOH, at the same alcohol dose. The NAC in Huangjiu might attenuate the progression of ALD by regulating intestinal barrier function and microbiota-meditated gut ecology
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