The e-nose employed (a
Fox 4000, Alpha MOS, Toulouse, France) was furnished with an
HS100 autosampler (Alpha MOS), 18 metal oxide sensors, and propriety data processing software (Alpha Soft v8.0) and was used to analyze the volatile compounds from the bacon. The 18 sensors specifically used are referred to as LY2/AA, LY2/G, LY2/gCT, LY2/gCTL, LY2/GH, LY2/LG, P10/1, P10/2, P30/1, P30/2, P40/1, P40/2, PA/2, T30/1, T40/2, T70/2, T40/1, and TA/2.
Minced samples (3.0 g) were placed in a 10 mL glass vial. The headspace generation were incubated at 50 °C for 10 min. Headspace gas (2000 μL) was pumped into the sensor chamber for 10 s at a constant rate of 150 mL min
−1. The injection volume was 800 μL and the injected speed syringe was 2500 mL min
−1. The sensor-response data were acquired for 120 s and the time between injections was set to 600 s.
On each sampling point (0, 7, 15, 22, 30, and 45 days), samples were withdrawn in triplicate for the sub-sequent analyses, each sample was analyzed in three times. A total of ninety samples were tested in experiments. Based the data of the triplicate and three replications, the average results were used for PCA analysis to obtain a stable result. The software was used to calculate the discrimination index—the higher the index, the better the difference [71 ].
Li X., Zhu J., Li C., Ye H., Wang Z., Wu X, & Xu B. (2018). Evolution of Volatile Compounds and Spoilage Bacteria in Smoked Bacon during Refrigeration Using an E-Nose and GC-MS Combined with Partial Least Squares Regression. Molecules, 23(12), 3286.