Is Linalyl Anthranilate Indeed Found In Plant Samples? GC-MS Misidentifications in the Scientific Literature.

IF 3.3 2区 生物学 Q2 CHEMISTRY, MEDICINAL
Journal of Natural Products Pub Date : 2024-12-27 Epub Date: 2024-12-16 DOI:10.1021/acs.jnatprod.4c01118
Katarzyna Pokajewicz, Tomasz Biernat, Piotr P Wieczorek
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Abstract

Linalyl anthranilate (LNA) has been identified in a number of plant extracts and essential oils by various authors using gas chromatography-mass spectrometry (GC-MS). However, the reported retention behavior of LNA in these studies is inconsistent with the retention data provided in the NIST database. Therefore, the objective of this study was to determine whether the reports of LNA were the result of misidentifications in GC-MS analyses or if the linear NIST retention index was inaccurate. To accomplish this, linalyl anthranilate was synthesized in a two-step procedure, and the resulting product was authenticated using nuclear magnetic resonance (NMR) and GC-MS analyses. This is a new synthetic route to linalyl anthranilate. Subsequently, retention indices for linalyl anthranilate were determined on three commonly used GC phases: polydimethylsiloxane, 5% diphenyl-95% polydimethylsiloxane, and polyethylene glycol. The study confirmed the accuracy of the NIST retention data, establishing the linear retention index data for LNA on a semi-nonpolar GC column as 2051. However, LNA reported in the literature by various authors exhibited a retention index in the elution window of approximately 1000-1400, strongly suggesting that these reports were the result of GC-MS misidentifications. A review of all reported occurrences of LNA in natural samples found no credible evidence of its presence. In many cases, it appears to be a misidentification of linalyl acetate caused by the occurrence of an erroneous spectrum in the older versions of the NIST mass spectra database.

在植物样本中确实发现了芳樟苯甲酸酯吗?科学文献中的气相色谱-质谱鉴别错误。
利用气相色谱-质谱联用技术(GC-MS)已经在许多植物提取物和精油中鉴定出了芳樟香酰苯甲酸酯(LNA)。然而,这些研究中报道的LNA滞留行为与NIST数据库中提供的滞留数据不一致。因此,本研究的目的是确定LNA的报告是否是GC-MS分析中错误鉴定的结果,还是线性NIST保留指数不准确。为了实现这一目标,用两步法合成了邻苯二甲酸芳樟酸酯,并使用核磁共振(NMR)和GC-MS分析对所得产物进行了鉴定。这是一条合成邻苯二甲酸芳樟酯的新路线。随后,在三种常用的GC相:聚二甲基硅氧烷、5%二苯基-95%聚二甲基硅氧烷和聚乙二醇上测定了芳樟酸甲酯的保留指数。研究证实了NIST保留数据的准确性,建立了半非极性气相色谱柱上LNA的线性保留指数数据为2051。然而,不同作者在文献中报道的LNA在洗脱窗口的保留指数约为1000-1400,这强烈表明这些报道是GC-MS错误鉴定的结果。对天然样本中所有报告的LNA事件的审查没有发现其存在的可靠证据。在许多情况下,这似乎是由于在旧版本的NIST质谱数据库中出现错误的光谱而导致的醋酸芳樟酸的错误鉴定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.10
自引率
5.90%
发文量
294
审稿时长
2.3 months
期刊介绍: The Journal of Natural Products invites and publishes papers that make substantial and scholarly contributions to the area of natural products research. Contributions may relate to the chemistry and/or biochemistry of naturally occurring compounds or the biology of living systems from which they are obtained. Specifically, there may be articles that describe secondary metabolites of microorganisms, including antibiotics and mycotoxins; physiologically active compounds from terrestrial and marine plants and animals; biochemical studies, including biosynthesis and microbiological transformations; fermentation and plant tissue culture; the isolation, structure elucidation, and chemical synthesis of novel compounds from nature; and the pharmacology of compounds of natural origin. When new compounds are reported, manuscripts describing their biological activity are much preferred. Specifically, there may be articles that describe secondary metabolites of microorganisms, including antibiotics and mycotoxins; physiologically active compounds from terrestrial and marine plants and animals; biochemical studies, including biosynthesis and microbiological transformations; fermentation and plant tissue culture; the isolation, structure elucidation, and chemical synthesis of novel compounds from nature; and the pharmacology of compounds of natural origin.
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