测定牡蛎糖原含量的微量反应体系的建立与优化

Establishment and optimization of micro-reaction system for determination of oyster glycogen content

  • 摘要: 该研究以新鲜近江牡蛎 (Crassostrea ariakensis) 软体组织为实验材料,通过比较分析不同蒽酮硫酸比例、不同反应时间的吸光值确定最优反应条件,并对方法的最低检出限、重复性、稳定性和精确性进行评价,最终建立了牡蛎糖原含量的微量检测体系。建立的微量反应体系体积为300 μL,主要包括0.2%蒽酮硫酸溶液200 μL,样品待测液100 μL;沸水浴反应时间为10 min。该方法的葡萄糖最低检出限为0.001 5 mg·mL−1,标准曲线变异系数小于4%,证实该方法具有较高的检测灵敏度;显色反应完成后,室温条件下120 min内其吸光值基本不变,稳定性较高;测定牡蛎外套膜、鳃、唇瓣、性腺、肝胰腺、闭壳肌的加标回收率介于95.3%~105.8%,说明该法具有较高的准确性。因此,该研究建立的微量反应体系测定牡蛎糖原的方法具有试剂用量小、操作简单、单样品成本低等优势,同时重复性、稳定性、精确性均较高,适用于大批样品批量测定。该研究为快速、高效完成牡蛎样品糖原的检测提供了有效的技术方法。

     

    Abstract: In this study, soft tissues of fresh oyster (Crassostrea ariakensis) were used as the experimental material for the determination of glycogen, and the optimal reaction conditions were determined by analyzing the absorbance values obtained with different anthrone sulfuric acid ratios and at different reaction times. Then the lowest detection limit, stability and accuracy of this method were evaluated, and a trace detection system for oyster glycogen was established. The established micro-reaction system had a volume of 300 μL including 200 μL of 0.2% anthrone sulfuric acid solution and 100 μL of sample solution, and the reaction time in boiling water bath was 10 min. The minimum detection limit of glucose was 0.001 5 mg·mL−1 and the coefficient of variation of the standard curve was less than 4%, indicating the high detection sensitivity and good repeatability of the method. In addition, after the reaction completed, absorbance basically remained unchanged within 120 min at room temperature, proving the high stability of this reaction. The recovery rate of glucose from six tissues including oyster mantle, gill, lip, gonad, hepatopancreas and adductor muscle were between 95.3% and 105.8%, indicating that this method has high accuracy. Thus, the established method for the determination of oyster glycogen has high repeatability, stability and accuracy, having the advantages of low reagent consumption, simple operation and low cost per sample. It is suitable for batch determination of glycogen in a large amount of samples. This study provides an effective technical method for quickly and efficiently determining glycogen in oyster samples.

     

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