生物样品的无酸微波辅助湿消化作为一种更环保的替代方法:从 COVID-19 监测到植物纳米生物技术的应用。

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Ana Beatriz Santos da Silva, Ketolly Natanne da Silva Leal, Marco Aurélio Zezzi Arruda
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引用次数: 0

摘要

分析序列中的样品制备会增加误差,非常耗时,而且涉及危险试剂的操作。因此,当需要改进分析方法时,需要对样品制备步骤进行优化或重新设计。此外,这一步骤可能涉及大量有毒试剂和废物。为此,本研究提出了一种基于微波辅助湿法消化的新程序,该程序结合了两种绿色策略:微型化系统(体积只有几微升)和仅使用过氧化氢。本研究选择了三种生物样本(人血清、尿液和植物离体材料),因为它们在疾病监测、毒理学研究和生物技术应用方面具有很高的潜力。几种微量元素(钙、镉、钴、铜、铁、镁、锰、钼、镍、硒和锌)是通过电感耦合等离子体光发射光谱法和电感耦合等离子体质谱法测定的。对于人体血清和尿液,使用了经认证的参考物质来检查其准确性;血清的回收率从 72%(镉,ICP-MS)到 105%(镁,ICP OES)不等,而尿液的回收率则从 82%(镍,ICP-MS)到 122%(锌,ICP-MS)不等。对于大豆胼胝体样品(离体植物材料),对拟议方法和酸消化法进行了比较,以评估其准确性,结果一致。检出限为 0.001-60 µg L-1(镉的检出限最低),显示了适当的灵敏度。此外,通过测定残余碳也证明了分解效率,最终消化产物中的残余碳含量较低(低于 0.8% w v-1)。根据 AGREEprep 软件计算,该方法的绿色指标约为 0.4。最后,将该方法应用于 COVID-19 患者的尿样和用纳米银培养的大豆胼胝体。这种样品制备方法是生物样品元素分析的一种无酸、微型化的新选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An acidless microwave-assisted wet digestion of biological samples as a greener alternative: applications from COVID-19 monitoring to plant nanobiotechnology.

An acidless microwave-assisted wet digestion of biological samples as a greener alternative: applications from COVID-19 monitoring to plant nanobiotechnology.

Sample preparation in an analytical sequence increases the number of errors, is highly time-consuming, and involves the manipulation of hazardous reagents. Therefore, when an improvement in an analytical method is required, the sample preparation step needs to be optimised or redesigned. Moreover, this step can involve significant toxic reagents and a high volume of waste. In that regard, this study proposes a new procedure based on microwave-assisted wet digestion combining two green strategies: a miniaturised system (with a few microlitres of volume) and the only use of hydrogen peroxide. Three biological samples (human serum, urine, and plant in vitro material) were chosen due to their high potential for disease monitoring, toxicological studies, and biotechnology applications. Several trace elements (Ca, Cd, Co, Cu, Fe, Mg, Mn, Mo, Ni, Se, and Zn) were determined by inductively coupled plasma optical emission spectroscopy and inductively coupled plasma mass spectrometry. For human serum and urine, a certified reference material was used to check for accuracy; the recovery ranged from 72% (Cd, ICP-MS) to 105% (Mg, ICP OES) for serum, while for urine, they varied from 82% (Ni, ICP-MS) to 122% (Zn, ICP-MS). For the soybean callus sample (in vitro plant material), a comparison between the proposed method and the acid digestion method was conducted to evaluate the accuracy, and the results agreed. The detection limits were 0.001-60 µg L-1 (lowest for Cd), thus demonstrating a suitable sensitivity. Moreover, the decomposition efficiency was demonstrated by determining the residual carbon, and a low amount was found in the final product digested (below 0.8% w v-1). A green metric approach was calculated for the proposed method, and according to AGREEprep software, it was found to be around 0.4. Finally, the method was applied to urine samples collected in patients with COVID-19 and soybean callus cultivated with silver nanoparticles. This sample preparation method is a new acidless and miniaturised alternative for elemental analysis involving biological samples.

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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
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