测定西地中海浮游植物色素的HPLC方法的比较分析：对卫星Cal/Val活动的贡献

IF 3 3区地球科学 Q2 CHEMISTRY, MULTIDISCIPLINARY

Marine Chemistry Pub Date : 2025-04-09 DOI:10.1016/j.marchem.2025.104516

Elisabetta Canuti , F. Artuso , A. Di Cicco

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引用次数: 0

摘要

高效液相色谱法（HPLC）是校准和验证卫星衍生叶绿素a （TChl a）浓度的金标准。其他浮游植物色素的定量可以为浮游植物群落的组成和丰度提供分类和功能方面的见解。本研究通过比较两个分析实验室（一个来自联合研究中心（JRC），另一个来自意大利国家新技术、能源和可持续经济发展机构（ENEA））的结果来评估与HPLC测量相关的不确定度。这些实验室采用了不同的分析方法来检查西地中海寡营养水域的天然水样，这些水样是在2017年哨兵行动期间收集的。在JRC数据集中，这些样品中的叶绿素a浓度范围为0.048至0.653 mg m - 3。本研究使用多种技术评估浮游植物群落组成，包括基于生物标记色素分析的化学分类方法和CHEMTAX方法（Mackey et al., 1996），以及无监督机器学习方法，如层次聚类分析（HCA）、主成分分析（PCA）和网络群落分析（NCA）。两个实验室在色素定量方面存在显著差异，特别是叶绿素c（差异85.5%）和橄榄素（差异56.6%）。然而，总TChl a量化的差异在6.1%以内，这表明两个实验室都有能力支持卫星数据验证和算法开发（Hooker et al., 2000）。结果强调了这种比较方法的局限性和优点，涉及到不同的方法来估计不确定度，为HPLC测量在具有挑战性的低浓度矩阵中的一致性和可靠性提供了见解。

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Comparative analysis of HPLC methods for measuring phytoplankton pigments in the Western Mediterranean Sea: A contribution to the satellite Cal/Val activities

High-performance liquid chromatography (HPLC) is the gold standard for calibrating and validating satellite-derived Chlorophyll a (TChl a) concentration. Other phytoplankton pigments quantified by HPLC can provide taxonomic and functional insights into the composition and abundance of phytoplankton communities. This study assesses the uncertainties associated with HPLC measurements by comparing results from two analytical laboratories, one from the Joint Research Centre (JRC) and the other from the Italian National Agency for New Technologies, Energy, and Sustainable Economic Development (ENEA). These laboratories employed different analytical methods to examine natural water samples from the oligotrophic waters of the Western Mediterranean Sea, collected during the Sentinel 2017 campaign. Chlorophyll a concentrations in these samples ranged from 0.048 to 0.653 mg m⁻³ in the JRC dataset. The present study evaluated phytoplankton community composition using multiple techniques, including chemotaxonomic methods based on the analysis of biomarker pigments and CHEMTAX method (Mackey et al., 1996), alongside unsupervised machine learning approaches such as Hierarchical Clustering Analysis (HCA), Principal Components Analysis (PCA), and Network-Community Analysis (NCA). Significant differences in pigment quantification were observed between the two laboratories, particularly for chlorophylls c (85.5 % difference) and peridinin (56.6 % difference). However, differences in total TChl a quantification were within 6.1 %, indicating that both laboratories are capable of supporting satellite data validation and algorithm development (Hooker et al., 2000). The results highlighted both limitations and advantages of this comparative approach, related to different methods for estimating uncertainties, providing insights into the consistency and reliability of HPLC measurements in a challenging low concentration matrix.

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来源期刊

Marine Chemistry 化学-海洋学

CiteScore

6.00

自引率

3.30%

发文量

审稿时长

4.5 months

期刊介绍： Marine Chemistry is an international medium for the publication of original studies and occasional reviews in the field of chemistry in the marine environment, with emphasis on the dynamic approach. The journal endeavours to cover all aspects, from chemical processes to theoretical and experimental work, and, by providing a central channel of communication, to speed the flow of information in this relatively new and rapidly expanding discipline.