Chen Pu, Yin Zhipeng, Xu Shun, Wang Pengyu, Yang Lianjun, Lv You
College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China.
Changchun Satellite Observation Station, National Astronomical Observatories, Chinese Academy of Sciences, Changchun 130117, China.
Biomimetics (Basel). 2025 Aug 21;10(8):555. doi: 10.3390/biomimetics10080555.
A miniaturised bionic electronic nose system was developed to solve the problems of expensive equipment and long response time for soil pesticide residue detection. The structure of the bionic electronic nasal cavity is designed based on the spatial structure and olfactory principle of the sturgeon nasal cavity. Through experimental study, the structure of the nasal cavity of the sturgeon was extracted and analyzed. The 3D model of the bionic electronic nasal cavity was constructed and verified by Computational Fluid Dynamics (CFD) simulation. The results show that the gas flow distribution in the bionic chamber is more uniform than that in the ordinary chamber. The airflow velocity near the sensor in the bionic chamber is lower than in the ordinary chamber. The eddy current intensity near the bionic chamber sensor is 2.29 times that of the ordinary chamber, further increasing the contact intensity between odor molecules and the sensor surface and shortening the response time. The 10-fold cross-validation method of K-Nearest Neighbor (K-NN), Random Forest (RF) and Support Vector Machine (SVM) was used to compare the recognition performance of the bionic electronic nasal cavity with that of the ordinary electronic nasal cavity. The results showed that, when the bionic electronic nose detection system identified the concentration of pesticide residues in soil, the recognition rate of the above three recognition algorithms reached 97.3%, significantly higher than that of the comparison chamber. The bionic chamber electronic nose system can improve the detection performance of electronic noses and has a good application prospect in soil pesticide residue detection.
为解决土壤农药残留检测设备昂贵及响应时间长的问题，研发了一种小型化仿生电子鼻系统。仿生电子鼻腔的结构是基于鲟鱼鼻腔的空间结构和嗅觉原理设计的。通过实验研究，提取并分析了鲟鱼鼻腔的结构。构建了仿生电子鼻腔的三维模型，并通过计算流体动力学（CFD）模拟进行了验证。结果表明，仿生腔室内的气流分布比普通腔室更均匀。仿生腔室内传感器附近的气流速度低于普通腔室。仿生腔室传感器附近的涡流强度是普通腔室的2.29倍，进一步增加了气味分子与传感器表面的接触强度，缩短了响应时间。采用K近邻（K-NN）、随机森林（RF）和支持向量机（SVM）的10折交叉验证方法，比较了仿生电子鼻腔与普通电子鼻腔的识别性能。结果表明，当仿生电子鼻检测系统识别土壤中农药残留浓度时，上述三种识别算法的识别率达到97.3%，显著高于对照腔室。仿生腔室电子鼻系统能够提高电子鼻的检测性能，在土壤农药残留检测方面具有良好的应用前景。
