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Objective Clarify and optimize the detection methods for 9antioxidants in oil samples. Methods After dissolving the oil sample in $3\mathrm{\;{mL}}$ of n-hexanesolution saturated with acetonitrile, repeat the extraction 5 times with $3\mathrm{\;{mL}}$ of n-hexanesaturated acetonitrile containing AP, and merge the 5 extractionsolutions. Purify with a C18 solid-phase extraction column, collect andconcentrate all extraction and eluent together to ${0.2}\mathrm{\;{mL}}$ , and finally make upto $2\mathrm{\;{mL}}$ withacetonitrile. Results 9 antioxidants linear relationship is good withinthe range of 1.0 to ${60.0}\mathrm{{\mug}}/\mathrm{{mL}}$ , and the correlation coefficients are allgreater than 0.99 ; the recovery rate ranges from 91.2% to 108.8%, witha relative standard deviation (RSD) of 0.6% to 10.0%; the detectionlimit is within the range of ${0.2}\sim {2.0}\mathrm{{mg}}/\mathrm{{kg}}$ ,and the quantitative limit is within the range of ${0.6}\sim {6.0}\mathrm{{mg}}/\mathrm{{kg}}$ . Conclusion This method optimizes the extraction frequency, purification method, and elution volume, and significantly improves the recovery rates of 9 antioxidants. The extraction frequency has a significant impact on the recovery rate of BHT and DG.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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