Inst. of Agrophysics, Polish Academy of Sciences, ul. Doswiadczalna 4, 20-290, Lublin, Poland.
J Food Sci. 2019 Jan;84(1):51-58. doi: 10.1111/1750-3841.14400. Epub 2018 Dec 17.
The paper presents application of a new three-parameter method for identification of volatile organic compounds (VOCs) and creation of fingerprints based on the impregnation time (t ), cleaning time (t ), and maximum response ([ΔR/R] ) of chemically sensing sensors for detecting spoilage of agricultural commodities. The novelty of this method consists in the use of two additional parameters: an impregnation time and a cleaning time for the first time. An Agrinose built of eight metal oxide semiconductors was used for identification of loss in the rapeseed quality during a short period of storage after harvest. Principal component analysis was applied as a method of data analysis to verify the suitability of the new three-parameter method and visualization of groups of different quality of raw materials. Fourier transform infrared spectroscopy spectra for identification of the infrared bands of fungal polysaccharides and gas chromatography-mass spectrometry analysis of the headspace was applied to describe volatile metabolite contents in reference to the electronic nose technique. The investigations and analyses have demonstrated that the new three-parameter method for determination of volatile compounds ([ΔR/R] , t , t ) describes the changes in VOCs more efficiently than the single-parameter approach based only on the maximum sensor response ([ΔR/R] ). The proposed method for generation of electronic fingerprints clearly discriminated between rapeseed samples infected with field and storage microflora. Three-parameters method can be useful for quality control in food microbiology and safety, as a rapid method of analysis and detection, including electronic nose sensor technology. PRACTICAL APPLICATION: The use of the proposed method for generation of fingerprints requires no interference with the hardware of the electronic nose but necessitates modification of the software only. This facilitates implementation of the three-parameter method in available devices. This kind of methods and devices can be useful for example in storage process with active ventilation.
本文提出了一种新的三参数方法，用于识别挥发性有机化合物（VOC）并创建基于化学感应传感器的浸渍时间（t）、清洗时间（t）和最大响应（[ΔR/R]）的指纹，以检测农产品的变质。该方法的新颖之处在于首次使用了两个附加参数：浸渍时间和清洗时间。Agrinose 由八个金属氧化物半导体组成，用于识别收获后短期储存过程中油菜籽质量的损失。主成分分析作为数据分析方法，用于验证新的三参数方法的适用性和不同质量原料组的可视化。傅里叶变换红外光谱用于鉴定真菌多糖的红外波段，顶空气相色谱-质谱分析用于描述挥发性代谢物含量，参考电子鼻技术。研究和分析表明，用于测定挥发性化合物的新三参数方法（[ΔR/R]、t、t）比仅基于最大传感器响应（[ΔR/R]）的单参数方法更有效地描述 VOC 的变化。生成电子指纹的新方法清楚地区分了感染田间和储存微生物的油菜籽样品。三参数方法可用于食品微生物学和安全性的质量控制，作为一种快速分析和检测方法，包括电子鼻传感器技术。实际应用：生成指纹的建议方法不需要对电子鼻的硬件进行干扰，只需要修改软件即可。这便于在现有设备中实施三参数方法。这种方法和设备可用于例如主动通风的储存过程。
