Abstract In the present study, we compared the color, flavor, and sensory attributes of wines prepared from undegraded (GW1), and physically (GW2) and biologically (GW3) degraded goji residue. Change in wine color showed a similar trend during the aging period; the color gradually became darker, with an increasing red and yellow hue. The wine obtained using the biological method was more clarified, transparent, and lustrous after 30 days of aging. Headspace solid-phase microextraction (HS-SPME) coupled to gas chromatography-mass spectrometry (GC-MS) detected 7 norisopreniod aroma compounds in GW1 and 9 additional compounds including dihydro-β-ionone, dihydrojasmone, safranal, α-cyclocitral, β-cyclocitral, octanoic acid, 2-octenal, β-damascenon, and geraniol propionate in GW2 and GW3. However, the content of GW3 compounds was higher than GW2 and GW1 compounds. Compared to GW1 and GW2, GW3 compounds showed a more intense floral and fruity aroma with typical wolfberry notes. Sensory evaluation revealed that panelists preferred GW3, followed by GW1 and GW2. Altogether, biodegradation of goji residue produced goji wine with the best color, flavor, and organoleptic qualities. We believe this study will contribute to a better understanding of the brewing and aging process of goji wine and improve its quality.

Abstract Jiangshui is a traditional fermented food in Northwest China with high nutritional value and special pharmacological effects. To study the microbial community structure and differences in the main metabolic pathways and metabolites in naturally fermented Jiangshui, the microbial diversity and nontargeted metabolomics analyses were performed on 18 samples of Jiangshui from three different production areas, namely, Tianshui, Gansu, Guyuan, Ningxia, and Ankang, Shaanxi. First, the microbial diversity was analyzed using 16S rRNA high-throughput sequencing. Lactobacillus was the dominant bacterial genus in the three regions, and the relative abundance of the samples in each region ranged from 72.69% to 99.95%. The dominant fungal genus was Dipodascus, with a relative abundance > 40%. Second, untargeted metabolomics was used to analyze the differences among metabolites in Jiangshui samples. Significant differences were found in 761 different metabolites detected in Jiangshui from the three different regions. Based on ESI+, 78 significantly different metabolites were screened using variable importance projection (VIP) value > 1, fold change (FC) < 1, and P-value < 0.05. Finally, based on joint analysis, the microbiome and metabolite groups of Jiangshui samples from the three different regions were evenly and closely clustered, and the microorganisms and metabolites were highly correlated. The results provide theoretical basis and reference for Jiangshui in other regions.

SUMMARY OBJECTIVE: The aim of this study was to investigate the correlation between the Trial of Org 10172 in acute stroke treatment classification and the National Institutes of Health Stroke Scale score of acute cerebral infarction as well as acute cerebral infarction's risk factors. METHODS: The clinical data of 3,996 patients with acute cerebral infarction hospitalized in Hebei Renqiu Kangjixintu Hospital from January 2014 to November 2018 were analyzed retrospectively. According to Trial of Org 10172 in acute stroke treatment, they were divided into five groups: arteriosclerosis, cardio cerebral embolism, arterial occlusion, other causes, and unknown causes. Through questionnaire design, routine physical examination, and physical and chemical analysis of fasting venous blood samples, the risk factors were evaluated, and the correlation between Trial of Org 10172 in acute stroke treatment classification and National Institutes of Health Stroke Scale classification was analyzed using multivariate logistic regression. In addition, the relationship between National Institutes of Health Stroke Scale score and risk factors in different groups was compared, and the correlation between Trial of Org 10172 in acute stroke treatment classification and National Institutes of Health Stroke Scale score was analyzed. RESULTS: Multivariate logistic regression analysis showed that diabetes, atrial fibrillation or stroke history, age, and education level were related to Trial of Org 10172 in acute stroke treatment classification. In the National Institutes of Health Stroke Scale comparison, the scores of the cardio cerebral embolism group were significantly higher than those of the other four groups, and patients with diabetes, atrial fibrillation, or stroke history had a high share, especially atrial fibrillation (33.06%). CONCLUSIONS: The nerve function defect is more serious after acute cerebral infarction with cardiogenic cerebral embolism, indicating a poor prognosis.