High-Throughput Method for Wide-Coverage and Quantitative Phenolic Fingerprinting in Plant-Origin Foods and Urine Samples,Journal of Agricultural and Food Chemistry

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High-Throughput Method for Wide-Coverage and Quantitative Phenolic Fingerprinting in Plant-Origin Foods and Urine Samples
Journal of Agricultural and Food Chemistry ( IF 5.7 ) Pub Date : 2022-06-15 , DOI: 10.1021/acs.jafc.2c01453
Raúl González-Domínguez _{1,

2} , Ana Sayago _{1,

2} , María Santos-Martín _{1,

2} , Ángeles Fernández-Recamales _{1,

2}

Affiliation

The use of mass spectrometry is currently widespread in polyphenol research because of its sensitivity and selectivity, but its usual high cost, reduced robustness, and nonavailability in many analytical laboratories considerably hinder its routine implementation. Herein, we describe the optimization and validation of a high-throughput, wide-coverage, and robust metabolomics method based on reversed-phase ultra-high-performance liquid chromatography with diode array detection for the identification and quantification of 69 phenolic compounds and related metabolites covering a broad chemical space of the characteristic secondary metabolome of plant foods. The method was satisfactorily validated following the Food and Drug Administration guidelines in terms of linearity (4–5 orders of magnitude), limits of quantification (0.007–3.6 mg L^–1), matrix effect (60.5–124.4%), accuracy (63.4–126.7%), intraday precision (0.1–9.6%), interday precision (0.6–13.7%), specificity, and carryover. Then, it was successfully applied to characterize the phenolic fingerprints of diverse food products (i.e., olive oil, red wine, strawberry) and biological samples (i.e., urine), enabling not only the detection of many of the target compounds but also the semi-quantification of other phenolic metabolites tentatively identified based on their characteristic absorption spectra. Therefore, this method represents one step further toward time-efficient and low-cost polyphenol fingerprinting, with suitable applicability in the food industry to ensure food quality, safety, authenticity, and traceability.

中文翻译：

植物源食品和尿液样品中广泛覆盖和定量酚类指纹图谱的高通量方法

由于质谱法的灵敏度和选择性，目前在多酚研究中广泛使用，但其通常成本高、鲁棒性低且在许多分析实验室中不可用，极大地阻碍了其常规实施。在此，我们描述了基于反相超高效液相色谱和二极管阵列检测的高通量、广覆盖性和稳健的代谢组学方法的优化和验证，用于鉴定和定量 69 种酚类化合物和相关代谢物涵盖植物性食品特征次级代谢组的广泛化学空间。该方法在线性（4-5 个数量级）、定量限（0.007-3.6 mg L ^–1）、基质效应（60.5-124.4%）、准确度（63.4 –126.7%)、日内精密度 (0.1–9.6%)、日间精密度 (0.6–13.7%)、特异性和残留。然后，它成功应用于表征多种食品（即橄榄油、红酒、草莓）和生物样品（即尿液）的酚类指纹，不仅能够检测许多目标化合物，还能够检测半成品。 -根据其特征吸收光谱初步鉴定的其他酚类代谢物的定量。因此，该方法代表着朝高效、低成本的多酚指纹识别又迈进了一步，并适用于食品工业，以确保食品质量、安全、真实性和可追溯性。

更新日期：2022-06-15

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