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面粉中的昆虫碎片:与小麦中谷蠹(鞘翅目:长蠹科)侵染水平的关系以及利用近红外光谱法进行快速检测

Insect fragments in flour: relationship to lesser grain borer (Coleoptera: Bostrichidae) infestation level in wheat and rapid detection using near-infrared spectroscopy.

作者信息

Perez-Mendoza Joel, Throne James E, Maghirang Elizabeth B, Dowell Floyd E, Baker James E

机构信息

Department of Entomology, Montana State University, Bozeman, MT 59717, USA.

出版信息

J Econ Entomol. 2005 Dec;98(6):2282-91. doi: 10.1603/0022-0493-98.6.2282.

Abstract

We determined that the number of insect fragments, quantified using the standard flotation method, in flour milled from wheat infested with larvae, pupae, or preemergent adults of the lesser grain borer, Rhyzopertha dominica (F.), was proportional to infestation level. Wheat infested with a single preemergent adult contributed 28 and 10x as many fragments as wheat infested with a single larva or pupa, respectively. Using regression models that were developed from these data, we predicted that the maximum infestation level that would result in flour with fragment counts below the Food and Drug Administration defect action level (75 fragments/50 g of flour) was 0.95 and 1.5% (380-640 infested kernels/kg of wheat) for pupae and larvae, but it decreased to 0.05% (20 infested kernels/kg) when the grain was infested with preemergent adults. We also reexamined the accuracy and sensitivity of near-infrared spectroscopy (NIRS) for detecting insect fragments in flour by testing three different NIR spectrometers. NIRS-predicted numbers of insect fragments were correlated with the actual number of fragments. NIRS is less precise than the standard flotation method, but it is rapid, nondestructive, does not require extensive sample preparation, and could easily be automated for a more sophisticated sampling protocol for flour based on prescreening samples with NIRS followed up by use of the standard flotation method when necessary.

摘要

我们确定,使用标准浮选法对从小麦中磨出的面粉中的昆虫碎片数量进行量化,这些小麦受到了谷蠹(Rhyzopertha dominica (F.))幼虫、蛹或羽化前成虫的侵染,其昆虫碎片数量与侵染水平成正比。受到一只羽化前成虫侵染的小麦所产生的碎片数量分别是受到一只幼虫或蛹侵染的小麦的28倍和10倍。利用从这些数据建立的回归模型,我们预测,对于蛹和幼虫而言,导致面粉中碎片数量低于美国食品药品监督管理局缺陷行动水平(每50克面粉中有75个碎片)的最大侵染水平分别为0.95%和1.5%(每千克小麦中有380 - 640个受侵染谷粒),但当谷物受到羽化前成虫侵染时,该水平降至0.05%(每千克有20个受侵染谷粒)。我们还通过测试三种不同的近红外光谱仪(NIRS),重新检验了其检测面粉中昆虫碎片的准确性和灵敏度。NIRS预测的昆虫碎片数量与实际碎片数量相关。NIRS不如标准浮选法精确,但它快速、无损,不需要大量样品制备,并且可以很容易地实现自动化,以便基于先用NIRS对样品进行预筛选,必要时再使用标准浮选法的更复杂的面粉采样方案。

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