Quantitative Bottom-Up Glycomic Analysis of Polysaccharides in Food Matrices Using Liquid Chromatography-Tandem Mass Spectrometry.

Quantitative Bottom-Up Glycomic Analysis of Polysaccharides in Food Matrices Using Liquid Chromatography-Tandem Mass Spectrometry.
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DOI:
10.1021/acs.analchem.2c03707
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发表时间:
2023-01-17
影响因子:
7.4
通讯作者:
Lebrilla, Carlito B.
Lebrilla, Carlito B.
中科院分区:
化学1区
文献类型:
--
作者:
Bacalzo, Nikita P.;Couture, Garret;Chen, Ye;Castillo, Juan J.;Phillips, Katherine M.;Fukagawa, Naomi K.;Lebrilla, Carlito B.

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碳水化合物是自然界中含量最丰富的生物分子,特别是多糖几乎存在于所有的植物和真菌中。由于其组成的多样性,多糖的分析仍然具有挑战性。与其他生物分子相比,碳水化合物的高通量分析尚未发展起来。为了解决分析科学中的这一空白,我们开发了一种多路复用、高通量和定量的方法来分析食品中的多糖。具体来说,多糖采用非酶化学消化过程解聚,然后使用高效液相色谱-四极杆飞行时间质谱(HPLC-QTOF-MS)进行寡糖指纹图谱。根据所得寡糖的丰度进行无标记相对定量和绝对定量。方法验证包括评价多糖标准品和早餐谷物标准品的回收率。9种多糖(淀粉、纤维素、β-葡聚糖、甘露聚糖、半乳聚糖、阿拉伯聚糖、木聚糖、木葡聚糖、几丁质)的定量具有足够的准确度(5-25%的偏差)和高重复性(2-15% CV)。此外,该方法还用于从不同的食品样品中鉴定和定量多糖。从苹果和洋葱中获得的九种多糖的绝对浓度使用外部校准曲线,其中在一些样品中观察到品种差异。本研究开发的方法将提供补充的多糖水平信息,以加深我们对膳食多糖、肠道微生物群落和人类健康之间相互作用的理解。
Carbohydrates are the most abundant biomolecules in nature, and specifically, polysaccharides are present in almost all plants and fungi. Due to their compositional diversity, polysaccharide analysis remains challenging. Compared to other biomolecules, high-throughput analysis for carbohydrates has yet to be developed. To address this gap in analytical science, we have developed a multiplexed, high-throughput, and quantitative approach for polysaccharide analysis in foods. Specifically, polysaccharides were depolymerized using a nonenzymatic chemical digestion process followed by oligosaccharide fingerprinting using high performance liquid chromatography–quadrupole time-of-flight mass spectrometry (HPLC-QTOF-MS). Both label-free relative quantitation and absolute quantitation were done based on the abundances of oligosaccharides produced. Method validation included evaluating recovery for a range of polysaccharide standards and a breakfast cereal standard reference material. Nine polysaccharides (starch, cellulose, β-glucan, mannan, galactan, arabinan, xylan, xyloglucan, chitin) were successfully quantitated with sufficient accuracy (5–25% bias) and high reproducibility (2–15% CV). Additionally, the method was used to identify and quantitate polysaccharides from a diverse sample set of food samples. Absolute concentrations of nine polysaccharides from apples and onions were obtained using an external calibration curve, where varietal differences were observed in some of the samples. The methodology developed in this study will provide complementary polysaccharide-level information to deepen our understanding of the interactions of dietary polysaccharides, gut microbial community, and human health.
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