Trunk borers infestation is difficult to detect because larvae always mine inside trees. However, plants volatile organic compounds (PVOCs) usually change markedly after pests damage which provide us an opportunity to identify trunk borers infestation. Herein, a four-element quartz crystal microbalance (QCM) gas sensor array based on molecularly imprinted polymers (MIPs) was reported for the discrimination of Semanotus bifasciatus (Motschulsky) and Phloeosinus aubei Perris (Coleoptera: Scolytidae) infested Platycladus orientalis (L.) Franco trunks. MIPs were prepared using the methacrylic acid (MAA) polymer matrix and four characteristic PVOCs (α-pinene, β-phellandrene, 3-carene and cis-thujopsene) as templates molecules, repectively. The amounts of MIPs dropped on the QCM chips were investigated and optimized according to the sensitivities and response times. Finally, the sensor array was applied to detect PVOCs of P. orientalis trunks with S. bifasciatus and P. aubei infestation, and the response matrix were processed with principal component analysis (PCA) and linear discrimination analysis (LDA) for visualization, and further discrimination was performed by k-nearest neighbor (KNN), probabilistic neural network (PNN) and support vector machine (SVM). SVM exhibited satisfying identification accuracy rates in both calibration set (97.62%) and validation set (93.75%). This study may contribute to gas sensor arrays development in areas of pest control and forest protection.

树干虫蛀虫的侵袭很难检测到，因为幼虫总是在树上开采。但是，植物的挥发性有机化合物（PVOC）通常在虫害破坏后发生显着变化，这为我们提供了识别trunk虫侵扰的机会。本文中，报道了一种基于分子印迹聚合物（MIPs）的四元素石英晶体微天平（QCM）气体传感器阵列，用于区分双歧杆菌（Semanotus bifasciatus）（Motschulsky）和深海芦苇（Phloeosinus aubei Perris）（鞘翅目：鞘翅目）侧柏。（L.）佛朗哥的箱子。分别使用甲基丙烯酸（MAA）聚合物基质和四种特征PVOC（α-pine烯，β--烯，3-胡萝卜素和顺-硫庚烯）作为模板分子制备了MIP。根据灵敏度和响应时间，研究和优化了QCM芯片上掉落的MIP数量。最后，施加在传感器阵列来检测的PVOCs侧柏中继线与S.天牛和P. aubei侵扰，并使用主成分分析（PCA）和线性判别分析（LDA）处理响应矩阵以进行可视化，然后通过k最近邻（KNN），概率神经网络（PNN）和支持向量机（ SVM）。SVM在校准集（97.62％）和验证集（93.75％）中均表现出令人满意的识别准确率。这项研究可能有助于在虫害控制和森林保护领域开发气体传感器阵列。