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采用气相色谱和质谱法对人唾液中的游离脂肪酸进行定量和定性分析。

Quantitative and qualitative analyses of human salivary NEFA with gas-chromatography and mass spectrometry.

作者信息

Kulkarni Bhushan V, Wood Karl V, Mattes Richard D

机构信息

Department of Nutrition Science, Purdue University West Lafayette, IN, USA.

出版信息

Front Physiol. 2012 Aug 16;3:328. doi: 10.3389/fphys.2012.00328. eCollection 2012.

Abstract

Salivary non-esterified fatty acids (NEFA) are proposed to play a role in oral health, oral fat detection, and they may hold diagnostic and prognostic potential. Yet, little is known about the array and concentrations of NEFA in saliva. The aim of the study was to conduct qualitative and quantitative analyses of salivary NEFA in healthy humans and to present a new, efficient protocol to perform such analyses. Resting saliva samples from fifteen participants were collected. The salivary lipids were extracted using a modified Folch extraction. The NEFA in the extracted lipids were selectively subjected to pentafluorobenzyl bromide (PFB) derivatization and qualitatively and quantitatively analyzed using gas chromatography-mass spectrometry (GC-MS). A total of 16 NEFA were identified in resting saliva. The four major NEFA were palmitic, linoleic, oleic, and stearic acids. Their concentrations ranged from 2 to 9 μM. This is the first study to characterize individual human salivary NEFA and their respective concentrations. The method used in the study is sensitive, precise, and accurate. It is specific to fatty acids in non-esterified form and hence enables analysis of NEFA without their separation from other lipid classes. Thus, it saves time, reagents and prevents loss of sample. These properties make it suitable for large scale analysis of salivary NEFA.

摘要

唾液中的非酯化脂肪酸(NEFA)被认为在口腔健康、口腔脂肪检测中发挥作用,并且可能具有诊断和预后潜力。然而,关于唾液中NEFA的种类和浓度,人们知之甚少。本研究的目的是对健康人群的唾液NEFA进行定性和定量分析,并提出一种新的、高效的分析方法。收集了15名参与者的静息唾液样本。采用改良的Folch提取法提取唾液脂质。对提取脂质中的NEFA进行五氟苄基溴(PFB)衍生化处理,然后使用气相色谱-质谱联用仪(GC-MS)进行定性和定量分析。在静息唾液中共鉴定出16种NEFA。四种主要的NEFA是棕榈酸、亚油酸、油酸和硬脂酸。它们的浓度范围为2至9μM。这是第一项对个体人类唾液NEFA及其各自浓度进行表征的研究。该研究中使用的方法灵敏、精确且准确。它对非酯化形式的脂肪酸具有特异性,因此能够在不将NEFA与其他脂质类别分离的情况下对其进行分析。这样既节省时间和试剂,又能防止样品损失。这些特性使其适用于唾液NEFA的大规模分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2cd/3429096/e49ae1cb7bd1/fphys-03-00328-g0001.jpg

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