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使用创新型侧向流动装置技术测定脱氧雪腐镰刀菌烯醇

Deoxynivalenol Determination Using Innovative Lateral Flow Device Technology.

作者信息

Delphine Halberstadt, Paola Giorni, Erica Barato, Terenzio Bertuzzi

机构信息

R-Biopharm AG, An der Neuen Bergstraße 17, 64297 Darmstadt, Germany.

Department of Sustainable Crop Production (DIPROVES), Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.

出版信息

Toxins (Basel). 2025 Mar 5;17(3):123. doi: 10.3390/toxins17030123.

DOI:10.3390/toxins17030123
PMID:40137896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11946560/
Abstract

Deoxynivalenol (DON), generally the most widespread mycotoxin in wheat, is regulated by the EU regulation in cereals and cereal-derived products. Its presence can be detected by chromatographic or rapid methods; the latter technique is generally used in control analysis, fulfilling the needs of the stakeholders of the wheat grain chain. Lateral flow strips are often used for the rapid detection of different mycotoxins in several agricultural products; regarding DON determination, different lateral flow immunochromatography strips are currently available, also providing quantitative results. The purpose of this work was to evaluate the accuracy of an innovative lateral flow device coupled to a bench top device, following a digital approach. The proposed method was compared to an LC-MS/MS method, analyzing 50 naturally contaminated wheat samples. The results obtained using the two methods were very similar and, applying a paired -test, the mean difference between measurements resulted not significantly different (α = 0.003). The correlation between the results showed a slope of the line close to 1 (m = 0.9904) and a regression coefficient (r) of 0.9968.

摘要

脱氧雪腐镰刀菌烯醇(DON)通常是小麦中分布最广泛的霉菌毒素,受到欧盟对谷物及谷物衍生产品的法规监管。其存在可通过色谱法或快速方法检测;后一种技术通常用于控制分析,满足小麦产业链利益相关者的需求。侧流试纸条常用于快速检测多种农产品中的不同霉菌毒素;关于DON的测定,目前有不同的侧流免疫层析试纸条,也能提供定量结果。这项工作的目的是采用数字方法评估一种创新的侧流装置与台式装置联用的准确性。将所提出的方法与液相色谱 - 串联质谱法(LC - MS/MS)进行比较,分析了50个天然污染的小麦样品。使用这两种方法获得的结果非常相似,应用配对检验,测量结果之间的平均差异无显著差异(α = 0.003)。结果之间的相关性显示直线斜率接近1(m = 0.9904),回归系数(r)为0.9968。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d94/11946560/3c80a0da752e/toxins-17-00123-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d94/11946560/3c80a0da752e/toxins-17-00123-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d94/11946560/3c80a0da752e/toxins-17-00123-g001.jpg

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本文引用的文献

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Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling.基于可见近红外光谱、特征选择和机器学习建模预测小麦籽粒和面粉中的脱氧雪腐镰刀菌烯醇污染情况
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Deoxynivalenol-mediated kidney injury via endoplasmic reticulum stress in mice.
脱氧雪腐镰刀烯醇介导的内质网应激致小鼠肾损伤。
Ecotoxicol Environ Saf. 2024 Nov 1;286:117243. doi: 10.1016/j.ecoenv.2024.117243. Epub 2024 Oct 23.
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Deoxynivalenol induces ovarian damage and uterine changes in prepubertal and adult mice.脱氧雪腐镰刀菌烯醇可诱导未成年和成年小鼠的卵巢损伤和子宫变化。
Toxicon. 2024 Nov 28;251:108123. doi: 10.1016/j.toxicon.2024.108123. Epub 2024 Oct 16.
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CuO nanoparticles with morphology-dependent peroxidase mimic activity: a novel colorimetric biosensor for deoxynivalenol detection.形态依赖性过氧化物酶模拟活性的氧化铜纳米粒子:一种用于检测脱氧雪腐镰刀烯醇的新型比色生物传感器。
Mikrochim Acta. 2024 Sep 10;191(10):588. doi: 10.1007/s00604-024-06676-8.
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