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基于超高效液相色谱- charged aerosol detection的槐糖脂指纹图谱

[Fingerprint of sophorolipids based on ultra-high performance liquid chromatography-charged aerosol detection].

作者信息

Cao Qin-Ling, Zhao Xiao-Dan, Shen Guo-Bin, Wang Zhu-Qin, Zhang Hong-Yang, Zhang Min, Hu Ping

机构信息

Shanghai Key Laboratory of Functional Materials Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai 200237, China.

Thermo Fisher Scientific (China) Co., Ltd., Shanghai 201206, China.

出版信息

Se Pu. 2023 Aug;41(8):722-729. doi: 10.3724/SP.J.1123.2022.12025.

Abstract

Sophorolipids are secondary metabolites produced during fermentation by nonpathogenic yeasts. These molecules are amphiphilic and consist of a hydrophilic sophora sugar moiety and a hydrophobic hydroxylated fatty acid. Based on their degree of esterification, sophorolipids can be divided into the acid and lactone types. Sophorolipids are highly promising biosurfactants with good antibacterial, antiviral, and other biological activities. Moreover, they are characterized by mildness, low toxicity, and environmental friendliness. However, their composition is quite complex, and effective methods for their quality evaluation are lacking. Since sophorolipids do not absorb ultraviolet (UV) light, common UV detectors are unsuitable for fingerprint establishment. In this study, we first selected a charged aerosol detector (CAD) to establish the ultra-high performance liquid chromatography (UHPLC) fingerprint of sophorolipids. The detector had high sensitivity, good reproducibility, and excellent suitability for the detection of substances with no or weak ultraviolet absorption. We then evaluated the similarities between 17 batches of sophorolipid samples. The samples were extracted by ultrasound for 10 min in 80% ethanol aqueous solution at a liquid-solid ratio of 10∶1 (mL/g) and then separated on a Thermo Fisher Scientific Hypersil Gold chromatographic column (150 mm×2.1 mm, 1.9 μm). Separation was performed using acetonitrile-0.01% (v/v) formic acid aqueous solution as the mobile phase via gradient elution. The flow rate was 0.2 mL/min, and the column temperature was 40 ℃. The CAD was used under the following conditions: power function of 1.0, data rate of 5 Hz, filter constant of 3.6, and evaporation temperature of 45 ℃. The chromatograms and retention times of the sophorolipids were compared, and 16 common peaks with strong responses, good resolutions, and stable retention times were selected as characteristic peaks. Oleic acid was chosen as the reference peak because it achieved good separation and a strong chromatographic response in all batches of samples. UHPLC-quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) was used to identify chromatographic peaks in the sophorolipid fingerprints. The results were combined with the retention time rule of the sophorolipids, leading to their identification based on matching with the results of the primary database, the precise relative molecular mass and fragmentation rule of secondary fragments, a self-built database, and the PubChem database. Sixteen compounds were identified, including eight acid sophorolipids, six lactone sophorolipids, and two aliphatic acids. The results of precision, repeatability, and 24 h stability tests indicated that the relative standard deviations (RSDs) of the retention times and peak areas of the 15 characteristic peaks relative to the control peak (oleic acid) were less than 3.0% (=6). Seventeen batches of sophorolipid samples were analyzed, and the similarity values of all fingerprints were found to be 0.965 or higher. Little differences in chemical composition were observed among the different batches of sophorolipid samples, and the quality of the sophorolipids was relatively consistent. The fingerprint established in this study is stable and reliable; it can be used for the quality evaluation of sophorolipids and lays a solid foundation for future research on production technology and the development and utilization of sophorolipids. The successful application of a universal CAD to the fingerprint establishment of sophorolipids also provides a reliable solution for the fingerprint establishment of substances with no or weak ultraviolet absorption.

摘要

槐糖脂是由非致病性酵母在发酵过程中产生的次生代谢产物。这些分子具有两亲性,由亲水性的槐糖部分和疏水性的羟基化脂肪酸组成。根据其酯化程度,槐糖脂可分为酸性和内酯型。槐糖脂是极具前景的生物表面活性剂,具有良好的抗菌、抗病毒和其他生物活性。此外,它们具有温和、低毒和环境友好的特点。然而,其组成相当复杂,缺乏有效的质量评价方法。由于槐糖脂不吸收紫外光,普通的紫外检测器不适用于建立指纹图谱。在本研究中,我们首先选择了一种 charged aerosol detector (CAD) 来建立槐糖脂的超高效液相色谱 (UHPLC) 指纹图谱。该检测器具有高灵敏度、良好的重现性,并且对于检测无紫外吸收或弱紫外吸收的物质具有出色的适用性。然后,我们评估了 17 批槐糖脂样品之间的相似度。样品在 80%乙醇水溶液中以 10∶1 (mL/g) 的液固比超声提取 10 min,然后在 Thermo Fisher Scientific Hypersil Gold 色谱柱 (150 mm×2.1 mm, 1.9 μm) 上进行分离。以乙腈 - 0.01% (v/v) 甲酸水溶液作为流动相,通过梯度洗脱进行分离。流速为 0.2 mL/min,柱温为 40℃。CAD 在以下条件下使用:幂函数为 1.0,数据速率为 5 Hz,滤波常数为 3.6,蒸发温度为 45℃。比较了槐糖脂的色谱图和保留时间,选择了 16 个响应强、分离度好且保留时间稳定的共同峰作为特征峰。选择油酸作为参照峰,因为它在所有批次的样品中都实现了良好的分离和强烈的色谱响应。使用超高效液相色谱 - 四极杆飞行时间质谱 (UHPLC - QTOF - MS) 对槐糖脂指纹图谱中的色谱峰进行鉴定。结果与槐糖脂的保留时间规律相结合,通过与一级数据库结果、二级碎片的精确相对分子质量和裂解规律、自建数据库以及 PubChem 数据库的结果进行匹配来实现其鉴定。鉴定出了 16 种化合物,包括 8 种酸性槐糖脂、6 种内酯型槐糖脂和 2 种脂肪酸。精密度、重复性和 24 h 稳定性测试结果表明,15 个特征峰相对于对照峰(油酸)的保留时间和峰面积的相对标准偏差 (RSDs) 均小于 3.0% (=6)。对 17 批槐糖脂样品进行了分析,发现所有指纹图谱的相似度值均为 0.965 或更高。不同批次的槐糖脂样品之间在化学成分上观察到的差异很小,槐糖脂的质量相对一致。本研究建立的指纹图谱稳定可靠;可用于槐糖脂的质量评价,为今后槐糖脂生产工艺及开发利用的研究奠定了坚实基础。通用 CAD 在槐糖脂指纹图谱建立中的成功应用也为无紫外吸收或弱紫外吸收物质的指纹图谱建立提供了可靠的解决方案。

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