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中国精品科技期刊2020
黄星奕, 顾菲菲. 针对鳊鱼新鲜度的气敏传感器筛选与阵列构建[J]. 食品工业科技, 2013, (19): 295-298. DOI: 10.13386/j.issn1002-0306.2013.19.021
引用本文: 黄星奕, 顾菲菲. 针对鳊鱼新鲜度的气敏传感器筛选与阵列构建[J]. 食品工业科技, 2013, (19): 295-298. DOI: 10.13386/j.issn1002-0306.2013.19.021
HUANG Xing-yi, GU Fei-fei. Construction of the sensor array based on gas sensor screening for parabramis pekinensis freshness evaluation[J]. Science and Technology of Food Industry, 2013, (19): 295-298. DOI: 10.13386/j.issn1002-0306.2013.19.021
Citation: HUANG Xing-yi, GU Fei-fei. Construction of the sensor array based on gas sensor screening for parabramis pekinensis freshness evaluation[J]. Science and Technology of Food Industry, 2013, (19): 295-298. DOI: 10.13386/j.issn1002-0306.2013.19.021

针对鳊鱼新鲜度的气敏传感器筛选与阵列构建

Construction of the sensor array based on gas sensor screening for parabramis pekinensis freshness evaluation

  • 摘要: 鱼体在贮藏过程中新鲜度下降,散发出一系列特征气味。研究采用气质联用(GC-MS)对4℃恒温贮藏的鳊鱼样本进行检测,分析样本从新鲜到腐败的特征性挥发物质;根据这些物质,筛选对应的传感器组成阵列;采用基于该阵列的电子鼻系统对不同贮藏期的鳊鱼样本进行检测,验证该阵列评价鱼新鲜度的有效性。结果显示,鳊鱼样本在腐败过程中的特征性挥发物质为:醇、醛酮、烃、苯、酸以及含氮、含硫物质。基于这些物质所筛选的传感器为:TGS822、TGS2620、TGS880、TGS813、TGS816、TGS832、TGS831、TGS2610、TGS2611、TGS2600、TGS826和TGS825。采用基于该传感器阵列的电子鼻系统检测不同贮藏期的鳊鱼样本。对采集的数据作主成分分析和Fisher判别分析,其前三个主成分贡献率为95.6%,样本在不同贮藏期区分性好。研究表明所采用的传感器筛选方法是行之有效的,依此所建立的传感器阵列与电子鼻系统用于判别鱼新鲜度响应快、精度高。 

     

    Abstract: Fish freshness decreases during storage and a series of characteristic odor emits.Gas chromatographymass spectrometry (GC-MS) was used in this research to test fish stored at 4℃ and the characteristic volatile compounds during decay were analyzed.Sensors which were sensitive to these compounds were screened, and a sensor array was structured using these sensors.An electronic nose based on this array was used to verify the validity of this array for evaluation of fish freshness by taking Parabramis Pekinensis as samples.Results showed that the volatile compounds were confirmed to be alcohol, aldehyde, ketone, hydrocarbon, benzol, acid, and compounds with N and S.Corresponding to these compounds, TGS822, TGS2620, TGS880, TGS813, TGS816, TGS832, TGS831, TGS2610, TGS2611, TGS2600, TGS826 and TGS825 were screened and a sensor array was structured.An electronic nose based on the sensor array was used to detect fish samples.PCA and FDA were employed to analyze the experiments data.Results showed that the first three PCs could explain 95.6% of the variance, and samples of different freshness grades were well separated.This research proved that the gas sensors screening method developed was very effective and it provided fast response and high accuracy on fish freshness evaluation.

     

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