[Determination of Aromatic Compounds Metabolites in Human Urine by Solid Phase Extraction-liquid...

To establish the method based on high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) with solid phase extraction (SPE) for simultaneous determination of the biological metabolites of aromatic compounds, including N-acetyl-S-phenyl-L-cysteine (SPMA), N-acetyl-S-benzyl-cysteine (SBMA), p-nitrophenol (PNP), methylhippuric acids (MHA), p-Aminophenol (PAP), mandelic acid (MA), phenylglyoxylic acid (PGA) and 1-hydroxypyrene (1-OHP) in urine.

After adding 20 μL of β-glucuronidase and 1 mL ammonium acetate buffer solution in 1 mL of urine, the sample was digested in a 37 ℃ incubator for 20 h. After digestion, the enzymatic hydrolysate was purified by PRIME HLB solid phase extraction column. The target compounds were eluted with 4 mL of acetonitrile and blown to dryness with nitrogen, reconstituted with 0.20 mL of methanol. Injected the sample solution into LC-MS/MS system for analysis after filtering with 0.22 μm filter membrane. LC separation was carried out on a reversed-phase C₁₈ column (2.1 mm×150 mm, 3.5 μm); gradient eluting was performed at a flow rate of 0.2 mL/min. The water containing 0.1% formic acid was used as mobile phase A and methanol was used as mobile phase B. The mass spectrometry was performed with multiple reaction monitoring (MRM) mode, using alternating positive and negative ions, and internal standard curves were used for quantification.

The eight metabolites showed good linearity within the range of 1-100 ng/mL, with a correlation coefficients greater than 0.995, and the relative precision deviation (RSDs) was 0.050%-9.95%. The method detection limits (MDLs) of the eight target metabolites were 0.041-0.12 ng/mL. The proposed method was used for urine sample analysis and the spiked recoveries were 80.1%-114.0%.

The established method is quick, sensitive and accurate; it meets the requirementof the biological monitoring of aromatic compounds for the general population and occupational population.