CAJ | 학술논문

为了简单、快捷、准确地检测牛肉新鲜度,建立了电子鼻检测系统.根据牛肉产生的气味和传感器实验,合理地选用了气敏传感器阵列.为提高电子鼻传感器灵敏度,对购置的传感器进行了改进.利用生物嗅觉的研究成果,开发出仿生嗅觉鼻道结构.为了提高电子鼻系统小样本训练的识别率,提出了用支持向量机(SVM)算法识别牛肉新鲜度的方法.应用电子鼻系统对储藏7 d不同新鲜度的牛肉进行了识别实验,识别率达到99.25%.结果表明电子鼻检测牛肉新鲜度是可行的.
위료간단、쾌첩、준학지검측우육신선도,건립료전자비검측계통.근거우육산생적기미화전감기실험,합리지선용료기민전감기진렬.위제고전자비전감기령민도,대구치적전감기진행료개진.이용생물후각적연구성과,개발출방생후각비도결구.위료제고전자비계통소양본훈련적식별솔,제출료용지지향량궤(SVM)산법식별우육신선도적방법.응용전자비계통대저장7 d불동신선도적우육진행료식별실험,식별솔체도99.25%.결과표명전자비검측우육신선도시가행적.
An electronic nose system was developed for detecting beef freshness. An array of gas sensor was selected correctly according to beef smell and sensor experiments. To enhance the sensitivity of electronic nose sensors, purchased sensors were improved. By using the research achievements of biological olfaction, a bionic nasal meatus was designed. In order to improve the recognition rate of the electronic nose system for small samples, appropriate recognition algorithm of support vector machine (SVM) was adopted. Identification experiments of different freshness of beef that had been stored for 7 days were carried out, and results showed that the recognition rate of this system is 99.25 ％, the feasibility of identifying beef freshness with electronic nose was confirmed.