Tonezzer Matteo, Thai Nguyen Xuan, Gasperi Flavia, Van Duy Nguyen, Biasioli Franco
Research and Innovation Centre, Department of Food Quality and Nutrition, Fondazione Edmund Mach, Via E. Mach 1, 38098 San Michele all'Adige, Italy.
Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via E. Mach 1, 38010 San Michele all'Adige, Italy.
Nanomaterials (Basel). 2021 Jun 18;11(6):1604. doi: 10.3390/nano11061604.
The response of a single tin oxide nanowire was collected at different temperatures to create a virtual array of sensors working as a nano-electronic nose. The single nanowire, acting as a chemiresistor, was first tested with pure ammonia and then used to determine the freshness status of trout fish () in a rapid and non-invasive way. The gas sensor reacts to total volatile basic nitrogen, detecting the freshness status of the fish samples in less than 30 s. The sensor response at different temperatures correlates well with the total viable count (TVC), demonstrating that it is a good (albeit indirect) way of measuring the bacterial population in the sample. The nano-electronic nose is not only able to classify the samples according to their degree of freshness but also to quantitatively estimate the concentration of microorganisms present. The system was tested with samples stored at different temperatures and classified them perfectly (100%), estimating their log(TVC) with an error lower than 5%.
在不同温度下收集单个氧化锡纳米线的响应,以创建一个作为纳米电子鼻工作的虚拟传感器阵列。作为化学电阻的单根纳米线,首先用纯氨进行测试,然后用于以快速且非侵入性的方式确定鳟鱼的新鲜度状态。该气体传感器对总挥发性碱性氮作出反应,能在不到30秒内检测出鱼样本的新鲜度状态。不同温度下的传感器响应与总活菌数(TVC)有很好的相关性,表明这是一种测量样本中细菌数量的好方法(尽管是间接的)。该纳米电子鼻不仅能够根据样本的新鲜程度对其进行分类,还能定量估计存在的微生物浓度。该系统对在不同温度下储存的样本进行了测试,并完美地(100%)对它们进行了分类,估计其log(TVC)时误差低于5%。