气候变化领域集成服务门户(CCPortal): Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach

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DOI	10.1002/jsfa.13607
	Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach
	Freitag, Stephan; Sulyok, Michael; Reiter, Elisabeth; Lippl, Maximilian; Mechtler, Klemens; Krska, Rudolf
发表日期	2024
ISSN	0022-5142
EISSN	1097-0010
英文摘要	BACKGROUND Mycotoxin surveys play an essential role in our food safety system. The obtained occurrence data form the basis for the assessment of the exposure of humans and animals to these toxic fungal secondary metabolites. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) has become the gold standard for mycotoxin determination because it enables selective and sensitive multi-toxin analysis. Simultaneous determination of several hundreds of secondary fungal metabolites is feasible using this technique. In this study, we combined a targeted dilute-and-shoot LC-MS/MS-based multi-analyte approach with multivariate statistics for the analysis of Austrian wheat from two different years and different geographical origins. RESULTS We quantified 47 secondary fungal metabolites, including regulated emerging and masked mycotoxins. The resulting multi-mycotoxin occurrence data were further analyzed using both multivariate and univariate statistics. Principal component analysis (PCA) and analysis of variance (ANOVA) simultaneous component analysis (ASCA) were employed to identify regional and yearly trends within the dataset and to quantify the variance in metabolite occurrence attributed to the different effects. In addition, secondary fungal metabolites significantly impacted by these factors were selected via ANOVA. Of the 47 secondary metabolites identified, 39 were affected by the year, region or a combined effect. Moreover, our findings show that 43 of the secondary fungal metabolites were significantly influenced by the weather conditions. CONCLUSION The results presented in this study underline the added value of combining targeted LC-MS/MS with multivariate statistics for monitoring a broad spectrum of secondary fungal metabolites in food crops. Through multivariate statistics, trends associated with the year or region can be readily studied. The approach presented could pave the way for a better understanding of the impact of climate change on plant pathogenic fungi and its implications for food safety.
英文关键词	LC-MS/MS; mycotoxins; PCA; ASCA
语种	英语
WOS研究方向	Agriculture ; Chemistry ; Food Science & Technology
WOS类目	Agriculture, Multidisciplinary ; Chemistry, Applied ; Food Science & Technology
WOS记录号	WOS:001228162300001
来源期刊	JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/290485
作者单位	BOKU University; Queens University Belfast
推荐引用方式 GB/T 7714	Freitag, Stephan,Sulyok, Michael,Reiter, Elisabeth,et al. Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach[J],2024.
APA	Freitag, Stephan,Sulyok, Michael,Reiter, Elisabeth,Lippl, Maximilian,Mechtler, Klemens,&Krska, Rudolf.(2024).Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach.JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE.
MLA	Freitag, Stephan,et al."Influence of regional and yearly weather patterns on multi-mycotoxin occurrence in Austrian wheat: a liquid chromatographic-tandem mass spectrometric and multivariate statistics approach".JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE (2024).