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稀释-进样高效液相色谱-紫外检测法测定尿肌酐作为猪体内真菌毒素生物监测的归一化工具

Dilute-and-Shoot HPLC-UV Method for Determination of Urinary Creatinine as a Normalization Tool in Mycotoxin Biomonitoring in Pigs.

机构信息

Department of Pharmacology and Toxicology, National Veterinary Research Institute, 24-100 Pulawy, Poland.

出版信息

Molecules. 2020 May 24;25(10):2445. doi: 10.3390/molecules25102445.

DOI:10.3390/molecules25102445
PMID:32456313
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7288144/
Abstract

A simple, rapid, and accurate HPLC-UV method was developed for the determination of creatinine in pig urine. Usually, it is determined in urine in biomonitoring of xenobiotics to correct for variations in dilutions of urine samples. The colorimetric method (based on Jaffe reaction), which was mainly used for this purpose in mycotoxin biomonitoring, is not a reliable approach for pig urine. Therefore, a novel and accurate HPLC method for creatinine determination was developed. The sample preparation was based on the dilute and shoot approach. An HPLC separation was performed with a porous graphitic carbon column with an aqueous mobile phase to achieve satisfactory retention time for creatinine. The method has been successfully validated, applied for the determination of creatinine in pig urine, and compared with other methods commonly used for that purpose-a colorimetric method based on Jaffe reaction and commercial ELISA test. The developed HPLC method shows the highest precision and accuracy for pig urine samples. Finally, the method was applied as a normalization tool in LC-MS/MS mycotoxin biomarkers analysis. The standardization to a constant creatinine level (0.5 mg/mL) enables similar matrix effects for eleven mycotoxin biomarkers for pig urine samples with different creatinine levels.

摘要

建立了一种简单、快速、准确的 HPLC-UV 法测定猪尿中的肌酐。通常,在检测外源性化学物质的生物监测中,肌酐用于校正尿液样品稀释度的变化。基于 Jaffe 反应的比色法(主要用于霉菌毒素的生物监测)在此目的上并不适用于猪尿。因此,建立了一种用于肌酐测定的新型准确 HPLC 方法。该方法的样品前处理基于稀释后进样法。采用多孔石墨碳柱,以水相作为流动相进行 HPLC 分离,可获得令人满意的肌酐保留时间。该方法已成功验证,并应用于猪尿中肌酐的测定,同时与其他常用于该目的的方法(基于 Jaffe 反应的比色法和商业 ELISA 检测)进行了比较。该开发的 HPLC 方法显示出对猪尿样具有最高的精密度和准确度。最后,该方法作为 LC-MS/MS 霉菌毒素生物标志物分析的归一化工具进行了应用。肌酐水平标准化至 0.5mg/mL 时,可使肌酐水平不同的猪尿样中 11 种霉菌毒素生物标志物具有相似的基质效应。

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J Pharm Anal. 2019 Jun;9(3):143-155. doi: 10.1016/j.jpha.2019.02.001. Epub 2019 Feb 26.
2
Pig Urinary Concentration of Mycotoxins and Metabolites Reflects Regional Differences, Mycotoxin Intake and Feed Contaminations.猪尿液中的霉菌毒素及其代谢物反映了区域差异、霉菌毒素摄入和饲料污染。
Toxins (Basel). 2019 Jun 30;11(7):378. doi: 10.3390/toxins11070378.
3
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Talanta. 2024 Oct 1;278:126373. doi: 10.1016/j.talanta.2024.126373. Epub 2024 Jun 6.
4
Extracellular Vesicles in Environmental Toxicological Studies: Association between Urinary Concentrations of Phthalate Metabolites and Exosomal miRNA Expression Profiles.环境毒理学研究中的细胞外囊泡:邻苯二甲酸代谢物的尿浓度与外泌体 miRNA 表达谱之间的关联。
Int J Mol Sci. 2024 Apr 30;25(9):4876. doi: 10.3390/ijms25094876.
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J Anim Sci Biotechnol. 2021 Oct 11;12(1):108. doi: 10.1186/s40104-021-00629-4.
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Toxins (Basel). 2021 Aug 23;13(8):586. doi: 10.3390/toxins13080586.
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Food Chem Toxicol. 2019 Jun;128:21-34. doi: 10.1016/j.fct.2019.03.046. Epub 2019 Mar 27.
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