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The detection of cannabinoids in veterinary feeds by microNIR/chemometrics: a new analytical platform.
Analyst ( IF 3.6 ) Pub Date : 2020-01-09 , DOI: 10.1039/c9an01854a Roberta Risoluti 1 , Giuseppina Gullifa 1 , Alfredo Battistini 2 , Stefano Materazzi 1
Analyst ( IF 3.6 ) Pub Date : 2020-01-09 , DOI: 10.1039/c9an01854a Roberta Risoluti 1 , Giuseppina Gullifa 1 , Alfredo Battistini 2 , Stefano Materazzi 1
Affiliation
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In this work, the capabilities of a novel miniaturized and portable microNIR spectrometer were investigated in order to propose a practical and intelligible test allowing the rapid and easy screening of cannabinoids in veterinary feeds. In order to develop a predictive model that could identify and simultaneously quantify the residual amounts of cannabinoids, specimens from popular veterinary feeds were considered and spiked with increasing amounts of cannabidiol (CBD), Δ9-tetrahydrocannabinol (THC), and cannabigerol (CBG). Partial least squares discriminant analysis (PLS-DA) and partial least squares regression (PLSr) were applied for the simultaneous detection and quantification of cannabinoids. The results demonstrated that the microNIR/chemometric platform could statistically identify the presence of CBD, THC and CBG in the simulated samples containing cannabinoids from 0.001 to 0.01%w/w, with the accuracy and sensitivity of the official reference methods actually proposed. The method was checked against false positive and true positive responses, and the results proved to be those required for confirmatory analyses, permitting to provide a fast and accurate method for monitoring cannabinoids in veterinary feeds.
中文翻译：
通过microNIR /化学计量学检测兽医饲料中的大麻素：一个新的分析平台。
在这项工作中，研究了新型微型便携式microNIR光谱仪的功能，以提出一种实用且易于理解的测试方法，从而可以快速，轻松地筛选兽药中的大麻素。为了建立可识别并同时量化大麻素残留量的预测模型，考虑了来自流行的兽医饲料的标本，并添加了越来越多的大麻素（CBD），Δ9-四氢大麻酚（THC）和大麻二酚（CBG）。偏最小二乘判别分析（PLS-DA）和偏最小二乘回归（PLSr）用于同时检测和定量大麻素。结果表明，microNIR /化学计量学平台可以从统计学角度识别CBD的存在，大麻素含量在0.001至0.01％w / w之间的模拟样品中的THC和CBG，具有实际提出的官方参考方法的准确性和敏感性。检查了该方法的假阳性和假阳性反应，结果证明是确证分析所需的结果，从而为监测兽用饲料中的大麻素提供了一种快速而准确的方法。
更新日期：2020-03-03
中文翻译：
通过microNIR /化学计量学检测兽医饲料中的大麻素：一个新的分析平台。
在这项工作中，研究了新型微型便携式microNIR光谱仪的功能，以提出一种实用且易于理解的测试方法，从而可以快速，轻松地筛选兽药中的大麻素。为了建立可识别并同时量化大麻素残留量的预测模型，考虑了来自流行的兽医饲料的标本，并添加了越来越多的大麻素（CBD），Δ9-四氢大麻酚（THC）和大麻二酚（CBG）。偏最小二乘判别分析（PLS-DA）和偏最小二乘回归（PLSr）用于同时检测和定量大麻素。结果表明，microNIR /化学计量学平台可以从统计学角度识别CBD的存在，大麻素含量在0.001至0.01％w / w之间的模拟样品中的THC和CBG，具有实际提出的官方参考方法的准确性和敏感性。检查了该方法的假阳性和假阳性反应，结果证明是确证分析所需的结果，从而为监测兽用饲料中的大麻素提供了一种快速而准确的方法。
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