Gholami Rashid, Aghili Nategh Nahid, Rabbani Hekmat
Department of Agricultural Machinery Engineering, Sonqor Agriculture Faculty, Razi University, Kermanshah, 6751683139 Iran.
Mechanical Engineering of Biosystems Department, Razi University, Kermanshah, 6751683139 Iran.
J Food Sci Technol. 2023 Apr;60(4):1355-1366. doi: 10.1007/s13197-023-05682-7. Epub 2023 Feb 7.
In this study, the effects of different packaging conditions on the quality of button mushrooms and some its chemical properties (pH and TSS) using an e-nose system equipped with ten sensors have been investigated. The button mushrooms were packaged using two types of films in two atmospheric modes. They were stored at 25 and 4 °C for ten days. During the storage, they were tested every other day. The results showed a mild increase in pH levels in all treatments during the ten days. Changes in TSS in ordinary polyethylene film-packed samples and ambient atmosphere at room temperature showed the highest value Moreover, investigating the sensor response during the storage period showed that the most significant changes in the response of all sensors occurred in samples packed with polyethylene film and ambient atmosphere at 25 °C. Also, the scoring diagram of principal component analysis (PCA) showed that the completely distinct groups were detectable at two temperatures, two packaging films, and two different packaging atmosphere. At the same time, there was an overlap between the groups in six storage times. The support vector machine (SVM-C) and artificial neural network (ANN)classified the samples with 81 and 66% accuracy in six different storage times. The values of for predicting TSS and pH using PLS (partial least squares regression), MLR (multiple linear regression) and PCR (principal component regression) ranged between 51 and 68 and 54-59%, respectively, however prediction of TSS had a higher accuracy.
在本研究中,使用配备十个传感器的电子鼻系统,研究了不同包装条件对双孢蘑菇品质及其一些化学性质(pH值和总可溶性固形物)的影响。双孢蘑菇采用两种薄膜在两种大气模式下进行包装。它们分别在25℃和4℃下储存十天。在储存期间,每隔一天对其进行测试。结果表明,在十天内所有处理的pH值均有轻微升高。普通聚乙烯薄膜包装且处于室温环境大气中的样品,其总可溶性固形物的变化显示出最高值。此外,研究储存期间传感器的响应表明,所有传感器响应中最显著的变化发生在25℃下用聚乙烯薄膜包装且处于环境大气中的样品中。同时,主成分分析(PCA)的得分图显示,在两种温度、两种包装薄膜和两种不同包装大气条件下可检测到完全不同的组。与此同时,在六个储存时间点各分组之间存在重叠。支持向量机(SVM-C)和人工神经网络(ANN)在六个不同储存时间点对样品进行分类的准确率分别为81%和66%。使用偏最小二乘回归(PLS)、多元线性回归(MLR)和主成分回归(PCR)预测总可溶性固形物和pH值的 值分别在51%至68%和54%至59%之间,然而,总可溶性固形物的预测具有更高的准确率。