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通过 MicroNIR/化学计量学监测大麻粉中的大麻素。

Monitoring of cannabinoids in hemp flours by MicroNIR/Chemometrics.

机构信息

Department of Chemistry, "Sapienza" University of Rome, p.le A.Moro 57, 00185, Rome, Italy.

Department of Chemistry, "Sapienza" University of Rome, p.le A.Moro 57, 00185, Rome, Italy.

出版信息

Talanta. 2020 May 1;211:120672. doi: 10.1016/j.talanta.2019.120672. Epub 2019 Dec 28.

DOI:10.1016/j.talanta.2019.120672
PMID:32070595
Abstract

Cannabinoids in hemp plant are strictly located in the inflorescence, in particular in top side of the plant while a lower amount may be found in the leaves. As a consequence, the lower amount of cannabinoids which can be recovered in the hemp flours is obtained from seeds, thus from contamination during harvesting procedures. To this aim, a screening test for the real time detection of cannabinoids in hemp flour was developed by a miniaturized analytical platform based on the MicroNIR spectrometer. Chemometrics was used to develop models of prediction to identify the cannabinoids and simultaneously to quantify the residual amounts in order to accomplish specific regulatory legislation according to the country. In particular, Partial Least Square-Discriminant Analysis (PLS-DA) and Partial Least Square regression (PLSr) were applied and results demonstrated that MicroNIR/Chemometric platform permit to differentiate hemp flours according to the presence of CBD, THC and CBG. In addition, for each cannabinoid, a quantification method was developed in the range 0.001-0.1 %ww, and their performances were evaluated by comparing results to those obtained by the reference procedures. Processing of the real samples provided a suitable correlation and confirmed the capabilities of this innovative platform to be used for the monitoring of the residual content of cannabinoids in hemp flours.

摘要

大麻植物中的大麻素严格存在于花序中,特别是在植物的顶部,而在叶子中可能含量较低。因此,大麻粉中可以回收的大麻素含量较低,是从种子中获得的,因此是在收获过程中受到污染的。为此,基于 MicroNIR 光谱仪,开发了一种微型化分析平台,用于实时检测大麻粉中大麻素的筛选试验。化学计量学用于开发预测模型,以识别大麻素并同时定量其残留量,以根据国家完成特定的监管法规。具体而言,应用了偏最小二乘判别分析(PLS-DA)和偏最小二乘回归(PLSr),结果表明 MicroNIR/Chemometric 平台可以根据 CBD、THC 和 CBG 的存在来区分大麻粉。此外,为每种大麻素开发了 0.001-0.1%ww 的定量方法,并通过将结果与参考方法的结果进行比较来评估其性能。对实际样品的处理提供了合适的相关性,并证实了这种创新平台用于监测大麻粉中大麻素残留量的能力。

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