两种液相色谱检测器对林木生物质糖类测定的比较  

Comparison of two universal liquid chromatography detectors for determination of carbohydrates in forest biomass

作　　者：邱月洁 杜娟 邓立红 蒋建新 朱莉伟 QIU Yuejie;DU Juan;DENG Lihong;JIANG Jianxin;ZHU Liwei(College of Material Science and Technology,Engineering Research Center of Forestry Biomass Materials and Energy,Ministry of Education,Beijing Forestry University,Beijing 100083,China)

机构地区：[1]北京林业大学材料科学与技术学院,林业生物质材料与能源教育部工程研究中心,北京100083

出　　处：《林业工程学报》2024年第5期93-99,共7页Journal of Forestry Engineering

基　　金：国家自然科学基金(31070510);北京林业大学大型仪器创新基金(BJFU-DXYQCX-2023-02)。

摘　　要：纤维素和半纤维素是林木生物质中的主要组分,其含量是评估林木生物质资源使用价值和优化加工工艺的重要指标,目前普遍采用高效液相色谱-示差折光法进行测定。本研究分别用示差折光(RID)和蒸发光散射(ELSD)两种通用型检测器,通过优化检测器条件,比较两种检测方法的适用性以及纤维二糖、葡萄糖、木糖、半乳糖、阿拉伯糖和甘露糖等6种糖类的特性,建立了相关线性回归方程,考察了线性范围、最低检出限、方法的重现性、样品稳定性和加标回收率等指标。实验结果表明,RID和ELSD两种检测器线性回归方程的决定系数R 2均大于0.99960,最低检测限均为0.1~0.2μg,检测器灵敏度相近。两种检测方法的加标回收率和样品稳定性基本一致。相较而言,RID的线性相关性较好,线性范围宽,对9.0~900.0μg高含量的糖类定量分析精密度较高,重现性较好,但易受环境温度变化影响,基线平衡时间较长。ELSD的线性范围窄,对0.5~5.0μg低含量糖类的定量分析精密度较高,且基线稳定快,适用于梯度洗脱。对南方松和毛白杨纤维素和半纤维素的测定结果均符合文献报道的理论值范围,因此高效液相色谱ELSD法可作为林木生物质糖类分析的新方法。Forest biomass mainly consists of cellulose and hemicellulose.The ratio of these components is important in assessing the usefulness of forest biomass resources and optimizing its processing technology in practical applications.High-performance liquid chromatography(HPLC)equipped with a refractive index detector(RID)was commonly used for compound analysis in the previous studies.A comparative study of the RID and evaporative light scattering detector(ELSD)methods for analyzing carbohydrate components has not been reported in the biomass research field.The objective of this study was to evaluate the sugar properties for the usefulness of Pinus spp and Populus tomentosa through the two universal detectors,namely RID and ELSD.To achieve this,the detection conditions were optimized,and the applicability of both detection methods was compared.Additionally,the properties of six types of sugar,including cellobiose,glucose,xylose,galactose,arabinose,and mannose,were evaluated.This comprehensive evaluation helped for a detailed assessment of the high-value utilization of forest biomass resources.Linear regression equations were used to evaluate the two detection methods,providing a comprehensive understanding of their relationship.These included stability,spiked recovery rate,linear range,minimum detection limit,and reproducibility.By using these equations,the performances of the two methods were thoroughly evaluated and the ranges within their operations were optimally determined.This study found that the RID and ELSD detectors of linear regression equations had a correlation coefficient greater than 0.99960,with a minimum detection limit of 0.1-0.2μg.Additionally,the sensitivity of both detectors was similar,and their recoveries and sample stability were the same.After the thorough analysis and comparison,it was revealed that the RID detector had good linear correlation,a wide linear range,high precision,and good reproducibility in quantitatively analyzing high carbohydrate content from 9.0 to 900.0μg.However,it was s

关 键 词：林木生物质 糖类 示差折光检测器 蒸发光散射检测器 

分 类 号：O657.7[理学—分析化学]