# Analysis of Volatile Components of Jasmine and Jasmine Tea during Scenting Process
## 2 Results
### Quantitative Analysis of Volatile Components  
3.1 Quantitative Analysis of Volatile Components in Jasmine Establishment of Standard Curve of Jasmine  
During the secnting process, jasmine was collected every two hours during the whole experiment to serve as the QC (quality control) samples. A quantity of 1000 g jasmine was weighed for the QC samples, in which the jasmine samples were taken without any treatment. QC samples from all samples were used to prepare blank substrates for jasmine, which could prevent the matrix effect from interfering with the volatile components of jasmine. Twenty-four standard curves for the volatile components of jasmine were established (as shown in Supplementary Table S1) for quantitative analysis after optimizing the extraction conditions and GC-MS conditions. The R\({}^{2}\) values of the standard curves of the 24 chemical components were all between 0.9000 and 0.9999, which showed that the standard curve established in this experiment could more accurately quantitatively analyze the volatile components to be tested. Among them, benzyl acetate had a low response value in GC-MS; its linear range was 1.996-79,920.0000 \(\upmu\)g\(\cdot\)L\({}^{-1}\), and its detection limit and quantification limit were also the highest, 0.3842 \(\upmu\)g\(\cdot\)L\({}^{-1}\) and 1.1672 \(\upmu\)g\(\cdot\)L\({}^{-1}\), respectively. The linear range of limonene was the smallest, from 2.013 to 50.325 \(\upmu\)g\(\cdot\)L\({}^{-1}\); the lowest detection limit was in limonene and folate 2-methyl butyrate, both 0.0010 \(\upmu\)g\(\cdot\)L\({}^{-1}\), and the lowest quantification limit was limonene, which was 0.0029 \(\upmu\)g\(\cdot\)L\({}^{-1}\). The volatile components of jasmine under different conditions were tested by quantitative analysis, and the results are shown in Supplementary Table S2. The kinds of volatile components remained the same during those treatments, but the amounts of each component were quite different. Those volatile components, including benzyl acetate, (E)-neryl alcohol, benzyl butyrate, \(\alpha\)-farnesene, \(\gamma\)-yilanoleene, linalool, cis-3-hexenyl benzoate, n-hexyl benzoate, methyl 2-aminobenzzoate, methyl benzoate, and trans-fophyll acetate, were all greater than 100 \(\upmu\)g\(\cdot\)L\({}^{-1}\). Figure 2: Changes in JTF index. (**A**) JTF of jasmine. (**B**) JTF of jasmine tea. 3.2 Quantitative Analysis of the Volatile Components of Jasmine Tea Establishment of Standard Curve of Jasmine Tea  
During the scenting process, jasmine tea was collected every two hours during the whole experiment to serve as the QC samples. A quantity of 1000 g jasmine tea was weighed for the QC samples, in which the tea samples were powder samples. A blank matrix of jasmine tea from all samples was prepared to eliminate the volatile components. The standard curves of 28 volatile components were established under the same conditions (Supplementary Table S3). The R\({}^{2}\) values were all between 0.9000 and 0.9999. Phenyl ethanol had a low response value; its linear range was the largest, ranging from 1.996 to 79,920.0000 ug.L\({}^{-1}\), and its detection limit and quantification limit were also very high, 0.0674 ug.L\({}^{-1}\) and 0.3923 ug.L\({}^{-1}\), respectively. The linear range of limonene was the smallest, from 2.013 to 50.325 ug.L\({}^{-1}\), respectively; the lowest detection limit was ethyl salicylate, 0.0006 ug.L\({}^{-1}\), and the lowest quantification limit was limonene, 0.0030 ug.L\({}^{-1}\). The quantitative detection results of the volatile components of jasmine tea were analyzed. The results are shown in Supplementary Table S4. The effective volatile components were the same during the different scenting processes, but there were some differences in each volatile component at different times.