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首页> 外文期刊>Food research international >Characterization of dried and freeze-dried sea fennel (Crithmum maritimum L.) samples with headspace gas-chromatography/mass spectrometry and evaluation of an electronic nose discrimination potential
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Characterization of dried and freeze-dried sea fennel (Crithmum maritimum L.) samples with headspace gas-chromatography/mass spectrometry and evaluation of an electronic nose discrimination potential

机译:利用顶空气相色谱/质谱法表征干燥和冷冻干燥的海茴香(Crithmum maritimum L.)样品并评估电子鼻识别潜力

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摘要

Processed samples (air-dried @ 40 and @ 60 degrees C and freeze-dried) of sea fennel (Crithmum maritimum L.), an autochthonous spice with interesting market potential, were analyzed by headspace gas-chromatography/mass spectrometry and classification capabilities of an electronic nose in discriminating between samples with stepwise forward statistics were evaluated as well. Freeze-drying process was the most preservative in terms of limiting darkening without compromising appearance of the final product, providing weight loss of about 85% and water activity below the limit for mold growth issues. Headspace analysis of samples highlighted the presence of 35 volatiles grouped as terpene hydrocarbons, oxygenated terpenes, sesquiterpen hydrocarbons, phenyl propanoids, not-terpenic aldehydes and not-terpenic ketones. Correlations emerged between selected sensors and some detected volatile organic compounds. Stepwise linear discriminant analysis and simple K-nearest neighbors obtained a 100% overall correct classification rate in cross-validation of the electronic nose in classifying samples, whereas stepwise quadratic discriminant analysis and Naive-Bayes gave 93.3%. The sea fennel could be a new interesting spice to launch in the food market and the electronic nose showed the potential to be used in monitoring the industrial process aimed at extending its shelf-life.
机译:通过顶空气相色谱/质谱法和质谱分析法对海茴香(Crithmum maritimum L.)加工后的样品(风生香料)进行了分析(在40和60℃下风干并冷冻干燥)。还对电子鼻进行了区分,并逐步进行了统计分析。就限制变黑而不损害最终产品的外观而言,冷冻干燥过程是最防腐的,可提供约85%的重量减轻和水分活度低于发霉问题的极限。样品的顶空分析突出显示了35种挥发物的存在,这些挥发物分为萜烯碳氢化合物,氧化萜烯,倍半萜碳氢化合物,苯基丙烷,非萜烯醛和非萜烯酮。在选定的传感器和一些检测到的挥发性有机化合物之间出现了相关性。逐步线性判别分析和简单的K近邻法在对样本进行电子鼻的交叉验证中获得了100%的总体正确分类率,而逐步二次判别分析和朴素贝叶斯给出了93.3%。海茴香可能是在食品市场上推出的一种有趣的新香料,电子鼻显示出了用于监测旨在延长其保质期的工业过程的潜力。

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