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油菜籽品质劣变过程中挥发性成分变化对 MOS 型传感器阵列反应的影响。

Influence of Changes in the Level of Volatile Compounds Emitted during Rapeseed Quality Degradation on the Reaction of MOS Type Sensor-Array.

机构信息

Institute of Agrophysics Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland.

Faculty of Food Science and Nutrition, Poznań University of Life Sciences, Wojska Polskiego 31, 60-624 Poznań, Poland.

出版信息

Sensors (Basel). 2020 Jun 1;20(11):3135. doi: 10.3390/s20113135.

DOI:10.3390/s20113135
PMID:32492973
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7309047/
Abstract

This study presents the applicability of a three-parameters method for digital description of spoiled rapeseed odor based on the use of an electronic nose. The method consists of the use of three parameters to describe the sensor response, i.e., the maximum resistance value, the response time and the cleaning time of the active surface of the sensor. Reference chemical methods, i.e., determination of the ergosterol content and analysis of volatile compounds by gas chromatography-mass spectrometry, were used to monitor qualitative changes occurring in the stored material. A 31-day profile of volatile compounds and changes in the ergosterol content was determined in the study. A total of 18 chemical groups of volatile organic compounds was identified. There was a strong positive correlation between the cleaning time and the percentage content of alcohols and alkenes, as well as ergosterol, as a marker of qualitative changes. The maximum response was another parameter that effectively described the changes occurring in the seeds. This parameter was strongly negatively correlated with esters and amides in the case of six sensors, and with ergosterol, alkenes and to a lesser degree with alcohols in the case of the other two sensors. The study results clearly demonstrated a relationship between the sensor responses and the percentage content of alcohols and alkenes, which provided novel practical information for the oilseed branch.

摘要

本研究提出了一种基于电子鼻的三参数法在描述变质油菜籽气味中的应用。该方法包括使用三个参数来描述传感器的响应,即传感器最大电阻值、响应时间和传感器活性表面的清洗时间。参考化学方法,即麦角固醇含量的测定和气相色谱-质谱法分析挥发性化合物,用于监测储存材料中发生的定性变化。在研究中,确定了挥发性化合物和麦角固醇含量的 31 天变化曲线。共鉴定出 18 种挥发性有机化合物化学基团。清洗时间与醇和烯烃以及麦角固醇(作为定性变化的标志物)的百分比含量之间存在很强的正相关。最大响应是另一个能有效描述种子中发生变化的参数。在六种传感器的情况下,该参数与酯和酰胺呈强负相关,而在另外两种传感器的情况下,与麦角固醇、烯烃呈弱相关。研究结果清楚地表明了传感器响应与醇和烯烃的百分比含量之间的关系,为油脂分支提供了新的实用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/cb6d4cf5ab79/sensors-20-03135-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/191fc36ef0cc/sensors-20-03135-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/f994476fc444/sensors-20-03135-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/ed4d4292dd1d/sensors-20-03135-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/101db0c958e8/sensors-20-03135-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/94983d976dc5/sensors-20-03135-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/fba0cf7e1885/sensors-20-03135-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/cb6d4cf5ab79/sensors-20-03135-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/191fc36ef0cc/sensors-20-03135-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/f994476fc444/sensors-20-03135-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/ed4d4292dd1d/sensors-20-03135-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/101db0c958e8/sensors-20-03135-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/94983d976dc5/sensors-20-03135-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/fba0cf7e1885/sensors-20-03135-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0a6d/7309047/cb6d4cf5ab79/sensors-20-03135-g007.jpg

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