摘要
研究智舌是否能监测霉菌液体培养物的综合信息,籍此探讨一类食品中污染的霉菌的快速检测新技术。基于脉冲伏安法的智舌,结合主成分分析对曲霉、青霉、根霉和毛霉4类霉菌进行区分研究,得到最佳电极及其频率段组合,同时引入距离d作为区分的判别依据,并确定能很好地区分2类菌的dmin。结果显示,区分霉菌效果好的有:金电极及钯电极的1Hz、10Hz、100Hz三个频率段和银电极的1Hz频率段;能够作为区分判别依据的定量值d>2.000。研究结果表明,智舌结合主成分分析法区分不同的霉菌是可行的。
Smart tongue, combined with principal component analysis, was employed to recognize four mold species in liquid medium. A quantitative value of the separation was determined and a good separation term （dmin） between two classes was studied. Results from smart tongue indicated that the best combinations of working electrodes with specific frequency segments for differentiation of four mold in liquid medium were as follows, both gold electrode and platinum electrode are in 1 Hz, 10 Hz and 100 Hz, and silver electrode in 1 HZ. A good separation was obtained when the separation term, d〉2. 000. Smart tongue combined with principal component analysis has a promising future as a modern rapid detection technology for recognition of the different molds.
出处
《传感技术学报》
CAS
CSCD
北大核心
2009年第4期451-455,共5页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金资助(30571623)
浙江省食品科学与工程重中之重重点学科开放课题资助(Z05-178)
浙江工商大学研究生科研创新基金资助(1110XJ508068)
关键词
智舌
主成分分析法
d值
电极及频率组合
霉菌液体培养物
smart tongue
principal component analysis
the separation sterm （d）
the combination of the electrodes and frequency segments
the liquid culture of mold
