Institute of Food Science, National Council of Research, via Roma 64, 83100 Avellino, Italy.
Institute of Sciences of Food Production, National Council of Research, Via G. Amendola 122/O, 70126 Bari, Italy.
Food Chem. 2016 Dec 15;213:361-368. doi: 10.1016/j.foodchem.2016.06.109. Epub 2016 Jun 30.
The volatile profile of three sweet basil cultivars, "Italico a foglia larga", "Cammeo" and "Italiano classico", packaged in air at 4 or 12°C until 9days, was monitored by solid phase microextraction with GC-MS. Chilling injury (CI) score and electrolyte leakage were also assessed. In total, 71 volatile organic compounds (VOCs) were identified in the headspace of basil samples. A preliminary principal component analysis highlighted the dominant effect of the cultivar on VOCs profiles. Data analysis by post-transformation of projection to latent structures regression (ptPLS2) clarified the role played by time and temperature of storage. Temperature influenced the emission of volatiles during storage, with much lower total volatile emissions at 4°C compared to 12°C. Finally, a ptPLS2 regression model performed on VOCs and the two CI parameters allowed selection of 10 metabolites inversely correlated to both CI parameters, which can be considered potential markers of CI in basil leaves.
三种甜罗勒品种(“Italico a foglia larga”、“Cammeo”和“Italiano classico”)在 4°C 或 12°C 下用空气包装,直至 9 天,通过固相微萃取与 GC-MS 监测其挥发性成分。还评估了冷害(CI)评分和电解质渗漏。在罗勒样品的顶空中共鉴定出 71 种挥发性有机化合物(VOCs)。初步主成分分析突出了品种对 VOCs 图谱的主要影响。通过投影到潜在结构回归(ptPLS2)的后转化数据分析,阐明了储存时间和温度的作用。温度影响储存过程中挥发性物质的排放,4°C 时的总挥发性排放明显低于 12°C。最后,对 VOCs 和两个 CI 参数进行的 ptPLS2 回归模型选择了 10 种与两个 CI 参数呈负相关的代谢物,可作为罗勒叶片 CI 的潜在标志物。