A piezoelectric peptide-hpDNA based gas sensor array has been used for the detection of terpenes coming from Cannabis sativa samples. The array consisted in 11 sensors, 6 having pentapeptides and 5 having hairpin DNA as binding elements. The volatile composition of 28 Cannabis sativa samples, assessed by GC-MS analysis, allowed their classification into 2 groups having as monoterpenes and sesquiterpenes in different amounts. The response of the gas sensor array to the same samples demonstrated that both type of sensors are sensitive to the terpenes and contribute to classification. A satisfactory classification (79% of correctly identified samples) was found using a PLS-DA approach. Using the same dataset and a simple ANN approach the headspace analytical profile of the two different groups was predicted with an average prediction error ≤1%.

基于压电肽-hpDNA的气体传感器阵列已用于检测来自大麻样品的萜烯。该阵列由11个传感器组成，其中6个具有五肽，而5个具有发夹DNA作为结合元件。28种大麻的挥发性成分通过GC-MS分析评估的样品可分为两类，分别具有不同含量的单萜和倍半萜。气体传感器阵列对相同样品的响应表明，两种类型的传感器都对萜烯敏感，并有助于分类。使用PLS-DA方法发现令人满意的分类（正确识别的样品的79％）。使用相同的数据集和简单的ANN方法，可以预测两个不同组的顶空分析曲线，平均预测误差≤1％。