Full
Outline
To investigate the influencing factors and optimization strategies for the matrix effects in pesticide residue analysis in Myrica rubra.
Pesticide residues in Myrica rubra were detected using liquid chromatography-tandem mass spectrometry under different conditions: Various sample pretreatment methods, different pesticide and matrix concentrations (low, medium, high), the addition of analyte protectants and varying liquid chromatography flow rates. The impact of these conditions on the matrix effect was analyzed. Analysis of variance (ANOVA) was used to compare the differences in matrix effects under different detection conditions, with a significance level of α=0.05.
Optimizing the pretreatment conditions based on the national standard method—specifically by adding graphitized carbon black adsorbent, replacing the salting-out agent and using acidified acetonitrile—effectively reduced or eliminated the matrix effects. The matrix effects varied with pesticide concentration, showed a weaker effect at medium concentrations (50 μg/L, 100 μg/L) compared to low (5 μg/L, 10 μg/L) and high concentrations (150 μg/L, 200 μg/L). Different matrix dilution factors also resulted in varying matrix effects: High dilution (×100) showed no matrix effect, medium dilutions (×50, ×10, ×5, ×2) exhibited a weak matrix effects, and the undiluted sample extract showed a strong matrix effects. The addition of analyte protectants significantly eliminated the matrix effects compared to the standard method. The matrix effects also differed with liquid chromatography flow rates, with a flow rate of 0.1 mL/min demonstrating a stronger matrix effect compared to 0.3 mL/min and 0.2 mL/min.
When detecting pesticide residues in complex matrices like Myrica rubra using liquid chromatography-tandem mass spectrometry, the matrix effect can be effectively reduced or eliminated by optimizing the sample pretreatment method, selecting appropriate matrix dilution factors and pesticide concentrations, adding analyte protectants and setting compatible flow rates.
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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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