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如果对 Naled 的定性分析质量不佳,必然会导致定量分析的错误。

Poor qualitative analysis of Naled necessarily leads to incorrect quantitative analysis.

机构信息

AMVAC Chemical Corporation, Glenn A. Wintemute Research Center, 2110 Davie Avenue, Commerce, CA 90040, USA.

AMVAC Chemical Corporation, Glenn A. Wintemute Research Center, 2110 Davie Avenue, Commerce, CA 90040, USA.

出版信息

Environ Int. 2018 Jun;115:430-432. doi: 10.1016/j.envint.2018.02.009. Epub 2018 Apr 4.

Abstract

This correspondence is in regards to a published article, titled "Prenatal Naled and Chlorpyrifos Exposure is Associated with Deficits in Infant Motor Function in a Cohort of Chinese Infants" Silver et al., Environ Int., 2017 Sep; 106:248-256. Upon careful review of this work we identified some significant issues in the mass spectral analysis of naled, specifically its identification and quantification. In this communication we address these issues and provide analytical data and rationale to support our criticism of the reported work. We collected mass spectral data for naled (analytical standard grade) under a variety of mass spectrometric conditions in an attempt to obtain a fragmentation pattern similar to what was reported in Silver et al., 2017. We however, could not reproduce a similar fragmentation pattern under any of the tested experimental conditions. Our results however were in excellent agreement with the National Institute of Standards and Technology (NIST) database, which is a very well established and widely accepted resource for such compounds. This leads us to conclude that naled was in all probability misidentified in the reported (Silver et al., 2017) study which consequently raises serious questions regarding the quantification of naled in the blood samples thus placing the whole statistical correlation of naled as a contributor to impairment of motor function in infants in question.

摘要

这是一封关于一篇已发表文章的信函,文章标题为“产前奈乐(naled)和毒死蜱暴露与中国婴儿队列中婴儿运动功能缺陷有关”Silver 等人,《国际环境》,2017 年 9 月;106:248-256。在仔细审查这项工作后,我们在奈乐的质谱分析中发现了一些重大问题,特别是其鉴定和定量问题。在本通讯中,我们将解决这些问题,并提供分析数据和基本原理,以支持我们对所报道工作的批评。我们在各种质谱条件下收集了奈乐(分析标准级)的质谱数据,试图获得与 Silver 等人报道的类似的裂解模式,2017 年。然而,我们无法在任何测试的实验条件下重现类似的裂解模式。然而,我们的结果与美国国家标准与技术研究院(NIST)数据库非常吻合,该数据库是此类化合物非常成熟且广泛接受的资源。这使我们得出结论,在报道的(Silver 等人,2017 年)研究中,奈乐很可能被错误识别,这就严重质疑了血液样本中奈乐的定量问题,从而使整个奈乐作为婴儿运动功能障碍的贡献者的统计相关性受到质疑。

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