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通过 DART-HRMS 数据的化学计量学处理区分受污染的面粉和未受污染的面粉——揭示了 的存在,即红面粉甲虫。

Distinguishing Infested Flour from Uninfested Flour through Chemometric Processing of DART-HRMS Data─Revealing the Presence of , the Red Flour Beetle.

机构信息

Department of Chemistry, University at Albany State University of New York, 1400 Washington Avenue, Albany, New York 12222, United States.

出版信息

J Agric Food Chem. 2023 Jun 7;71(22):8613-8621. doi: 10.1021/acs.jafc.3c00685. Epub 2023 May 23.

DOI:10.1021/acs.jafc.3c00685
PMID:37219919
Abstract

Insect infestation of agricultural stored products is a significant challenge to food security across the globe. One common pest is (red flour beetle). In a new approach to addressing the threat of these beetles, Direct Analysis in Real Time-High-Resolution Mass Spectrometry was used to examine infested and uninfested flour samples. These samples were then distinguished through statistical analysis techniques, including EDR-MCR, in order to highlight the important / values contributing to the differences in the flour profiles. A subset of these values responsible for the identification of infested flour (nominal / 135, 136, 137, 163, 211, 279, 280, 283, 295, 297, and 338) were further investigated, and compounds responsible for these masses included 2-(2-ethoxyethoxy)ethanol, 2-ethyl-1,4-benzoquinone, palmitic acid, linolenic acid and oleic acid. These results have the potential to lead to a rapid technique by which flour and other grains can be tested for insect infestation.

摘要

农业储存产品的虫害是全球粮食安全的重大挑战。一种常见的害虫是(赤拟谷盗)。在一种解决这些甲虫威胁的新方法中,直接实时分析-高分辨率质谱法被用于检查受感染和未受感染的面粉样本。然后,通过包括 EDR-MCR 在内的统计分析技术对这些样本进行区分,以突出对面粉图谱差异有贡献的重要/有价值的因素。一小部分负责识别受感染面粉的数值(标称值/135、136、137、163、211、279、280、283、295、297 和 338)被进一步研究,负责这些质量的化合物包括 2-(2-乙氧基乙氧基)乙醇、2-乙基-1,4-苯醌、棕榈酸、亚麻酸和油酸。这些结果有可能导致一种快速的技术,通过该技术可以测试面粉和其他谷物是否受到虫害。

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