Zhao Li-Li,Ma Qingkun,Xu Chun-Yan,Zheng Guanghao,Han Yu,Qian Qing,Jin Wenlong,Min Jun Zhe
Serum uric acid (UA) is a traditional biomarker in the clinical diagnosis of gout and hyperuricemia. However, serum treatment and storage are cumbersome, and wounds are susceptible to infection. Therefore, in this study, a simple and noninvasive method was developed to detect the UA in human saliva to monitor the gout. An Inertsil ODS-3 column was used for the analysis under the condition of isocratic elution with the mixed solution phosphate buffer (74 mM, pH=2.2): Methanol=98:2 (v:v) and the UV detection at 284 nm. Using salivary UA data from healthy volunteers (HVs) (n=68) and gout patients (GPs) (n=14), we examined the salivary UA difference in their content. The intra-and inter-day accuracy and precision (RSD %) were less than 2.56%, the limit of detection (LOD) of UA was 5.0 ng/mL, the mean recoveries of the corresponding compounds were 102.48%. Saliva levels of UA in HVs and GPs were 35.26±14.06 µg/mL and 91.96±23.90 µg/mL, respectively. The concentrations of salivary UA in GPs were significantly higher than those in HVs ( p < 0.001). This method was also expected to monitor the hyperuricemia and other metabolic disorders in the future.
In this work, a rapid chemometrics-enhanced liquid chromatography–single stage mass spectrometry (LC–MS) was developed for the simultaneous green determination of six co-eluted sulfonylurea-type oral antidiabetic agents (SOADs) in health teas and human plasma samples. Shortening the chromatographic separation time and reducing the cost per analysis were achieved via using full scan mode of LC–MS under simple isocratic elution condition followed by an environment-friendly “mathematical separation” strategy. The problem of the complete separation of target analytes from each other and/or from the uncalibrated interferences in complex matrices was resolved by alternating trilinear decomposition (ATLD) method as a posteriori . Satisfactory qualitative and quantitative results were obtained even in the existence of unknown interferences and the “second-order advantage” was fully exploited. The average spiked recoveries for all target analytes were between 81.6% and 110.1% with standard deviations less than 7.7%. It was demonstrated that the proposed strategy could be promisingly used for green resolution and determination of co-eluted multi-analytes of interest in complex samples while avoiding elaborate sample pretreatment steps and complicated experimental conditions as well as more sophisticated high-cost instrumentations.
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