Data-dependent acquisition based high-resolution mass spectrum for trace Alternaria mycotoxin analysis and sulfated metabolites identification.

Alternaria mycotoxins are food-related compounds that are mainly produced by Alternaria fungi species. However, it's difficult for Alternaria mycotoxins analysis, especially for conjugated metabolites in food safety surveillance. In this work, a novel data-dependent acquisition (DDA) full mass scan and products scan protocol was proposed for qualitative and quantitative analysis of five target mycotoxins in tomato samples using ultra-high-performance liquid chromatography coupled with quadrupole Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap). In total, 24 sulfated metabolites were detected with post-data analysis techniques, and two sulfated metabolites (AME-sulfated and AOH-sulfated) were identified in Alternaria fungi -inoculated tomatoes. In addition, a custom database was established, and it was successfully applied for Alternaria mycotoxins and sulfated metabolites screening in tomatoes. With the improvement in high-resolution mass spectrometry (HRMS) as well as post-data analysis techniques, DDA based HRMS method could be widely applied for compound analysis, identification, and screening in quantitative field.

Visible Post-Data Analysis Protocol for Natural Mycotoxin Production.

Fungal natural products are routinely analyzed using target detection protocols by comparing to commercial standards. However, discovery of new products suffers from a lack of high-throughput analytical techniques. Post-data process techniques have become popular tools for natural product confirmations and mycotoxin family analysis. In this work, a visible post-data process procedure with MZmine, GNPS, and Xcalibur was used for efficient analysis of high-resolution mass spectrometry. Conjugated products were screened with an optimized diagnostic fragmentation filtering module in MZmine and further confirmed with Xcalibur by comparing to unconjugated commercial standards. MS/MS spectral data were processed and used to establish a feature based on a molecular networking map in GNPS (Global Natural Products Social Molecular Networking; https://gnps.ucsd.edu), for visualization of fungal natural product families. The results demonstrate the potential of combining MZmine-, GNPS-, and Xcalibur-based methods for visible analysis of fungal natural products.

[Therapeutic schemes for refractory ascites of advanced schistosomiasis: a clinical control study].

OBJECTIVE: To explore the therapeutic schemes for refractory ascites of advanced schistosomiasis. METHODS: The advanced schistosomiasis patients with refractory ascites were randomly divided into 4 groups: a conventional group, high-dose albumin group, high-dose diuretic group, and comprehensive group, and the course of the treatment was 4 weeks. The abdominal circumference, urine volume, and weight changes were observed daily, and B-ultrasound, liver function, and renal function were performed weekly. RESULTS: In the total effective rates, recurrence rates and A/G and renal function changes, the high-dose albumin group and comprehensive group were superior to the conventional group and high-dose diuretic group (P < 0.01). The death rate of the comprehensive group was the lowest among the 4 groups. CONCLUSION: The therapeutic scheme of the comprehensive group is optimum.