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. 2023 Jun 8;41(6):482–489. [Article in Chinese] doi: 10.3724/SP.J.1123.2022.12006

表2.

饮用水中13种HBQs的线性关系、方法检出限、方法定量限和基质效应

Compound Regression equation r Linear range/(μg/L) MDL/(ng/L) MQL/(ng/L) Matrix effect
2,5-DCBQ y=10138.9x+290.4 0.9996 0.5-100 0.5 1.7 0.70
2,6-DCBQ y=23525.5x+1329.0 0.9993 0.5-100 0.3 0.9 0.61
2,5-DBBQ y=26040.3x+1300.8 0.9998 0.5-100 0.8 2.5 0.58
2,6-DBBQ y=30750.0x+1239.7 0.9998 0.5-100 0.5 1.7 0.51
DCMBQ y=23013.0x-6502.2 0.9998 0.5-100 0.4 1.3 0.45
TriCBQ y=8180.2x-2731.1 0.9994 1-100 1.5 4.6 0.40
2,6-DIBQ y=75438.0x-15579.0 0.9996 0.5-100 0.2 0.6 0.39
TCBQ y=12908.8x-6189.7 0.9999 2-100 1.7 5.7 0.22
2,6-DBDMBQ y=9823.4x-1200.2 0.9997 2-100 1.5 5.0 0.24
2,3-DBDMBQ y=620.21x-1062.8 0.9992 10-200 10.0 33.0 0.33
TBBQ y=15687.3x-7489.5 0.9993 2-100 1.7 5.7 0.20
TC-1,2-BQ y=75973.2x-40836 0.9998 0.5-100 0.3 0.9 0.42
TB-1,2-BQ y=34732.9x-28283 0.9990 1-100 0.8 2.6 0.28

y: peak area; x: mass concentration, μg/L.