Cheng Jia, Zhou Chunfu, Xie Yue, Wang Min, Zhou Cheng, Li XiaoShuang, Du YaDong, Lu Fan
Department of Resources and Environment, Anhui Science and Technology University Fengyang 233100 China
Department of Resources and Environment, Hubei University Wuhan 430062 China.
RSC Adv. 2022 May 18;12(23):14939-14944. doi: 10.1039/d1ra09433e. eCollection 2022 May 12.
There are phenolic acids with allelopathy in the rhizosphere soil of plants. At present, the identification and quantification of phenolic acids in different matrix mixtures is usually analysed by high performance liquid chromatography, but the detection of phenolic acids in soil has rarely been studied. As well as, previous studies have evaluated a limited number of target compounds. In this work, we proposed and verified a method for quantitative determination of 14 phenolic acids, including gallic acid, vanillic acid, -hydroxybenzoic acid, protocatechuic acid, caffeic acid, syringic acid, -coumaric acid, ferulic acid, chlorogenic acid, benzoic acid, salicylic acid, 2-methoxycinnamic acid, 3-methoxycinnamic acid, and cinnamic acid, which are widely present in rhizosphere soil of plants and have allelopathy. This method used multiwavelength HPLC-PDA analysis for simultaneous determination of these compounds. The detection wavelengths selected 254 nm, 280 nm, 300 nm, and 320 nm. Chromatographic separation of all compounds was achieved using a column of Shim-pack VP-ODS (250 mm × 4.6 mm, 5 μm), kept at 30 °C. Mobile phase A was acetonitrile, B was a 0.5% acetic acid aqueous solution, and the flow rate was 1.0 mL min. Under the condition of gradient elution, the mobile phase A was acetonitrile, B was a 0.5% acetic acid aqueous solution, and the flow rate was kept constant at 1.0 mL min. The 14 target phenolic acids were completely separated within 45 min. All the calibration curves showed good linearity, and the correlation coefficient was 0.9994-0.9999. With the detection limit varying from 0.003 mg L to 0.239 mg L. The recovery rates and the RSD of 14 phenolic acids were 80.54∼107.0% and 1.43-4.35%, respectively. This method has the characteristics of high sensitivity, high accuracy, and high recovery rate. This method is a novel technical means for the simultaneous analysis of compound phenolic acids in soil.
植物根际土壤中存在具有化感作用的酚酸。目前，不同基质混合物中酚酸的鉴定和定量通常采用高效液相色谱法进行分析，但土壤中酚酸的检测研究较少。此外，以往的研究评估的目标化合物数量有限。在本研究中，我们提出并验证了一种定量测定14种酚酸的方法，这些酚酸包括没食子酸、香草酸、对羟基苯甲酸、原儿茶酸、咖啡酸、丁香酸、对香豆酸、阿魏酸、绿原酸、苯甲酸、水杨酸、2-甲氧基肉桂酸、3-甲氧基肉桂酸和肉桂酸，它们广泛存在于植物根际土壤中并具有化感作用。该方法采用多波长高效液相色谱-光电二极管阵列检测法同时测定这些化合物。检测波长选择254nm、280nm、300nm和320nm。所有化合物的色谱分离采用Shim-pack VP-ODS柱（250mm×4.6mm，5μm），柱温保持在30℃。流动相A为乙腈，B为0.5%乙酸水溶液，流速为1.0mL/min。在梯度洗脱条件下，流动相A为乙腈，B为0.5%乙酸水溶液，流速保持恒定在1.0mL/min。14种目标酚酸在45min内完全分离。所有校准曲线均显示出良好的线性，相关系数为0.9994 - 0.9999。检测限在0.003mg/L至0.239mg/L之间。14种酚酸回收率为80.54% - 107.0%，相对标准偏差为1.43% - 4.35%。该方法具有灵敏度高、准确度高和回收率高的特点。此方法是同时分析土壤中复合酚酸的一种新技术手段。
