Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin

IF 1.9 4区 化学 Q3 CHEMISTRY, APPLIED Journal of Near Infrared Spectroscopy Pub Date : 2016-06-24 DOI:10.1255/jnirs.1224
Cuicui Wang, W. Cai, X. Shao
{"title":"Determination of Bilirubin Using near Infrared Diffuse Reflectance Spectroscopy with Selective Concentration on β-Cyclodextrin","authors":"Cuicui Wang, W. Cai, X. Shao","doi":"10.1255/jnirs.1224","DOIUrl":null,"url":null,"abstract":"Near infrared diffuse reflectance spectroscopy (NIR-DRS) is a convenient and fast quantitative method for direct analysis of complex samples. The low sensitivity of NIR-DRS, however, is a problem for micro-analysis. A method for improving the sensitivity of NIR-DRS is proposed using selective adsorption. The method makes use of an adsorbent containing β-cyclodextrin to achieve the specific adsorption of bilirubin (BR). Preconcentration of BR from an aqueous solution with complex matrix was achieved through hydrophobic interaction and hydrogen bonding. Then NIR-DRS of the adsorbate was conducted and a partial least squares model was built for quantitative prediction. Both the preconcentration and the specific adsorption improve the analysis. The former enhances the spectral response by enrichment, and the latter makes the NIR response less affected by interferences such as metal ions, glucose etc. The results for the validation samples were a coefficient of determination (r2) between the predicted and reference concentration of 0.98 with recoveries in the range 94.5′-107.5% in a concentration range of 3.30′-8.60 μg mL−1. The concentration that can be quantitatively detected was as low as 2.60 μg mL−1. Considering that the normal concentration range of BR in serum is 3.5′-10.0 μg mL−1, the method may provide a feasible tool for determination of BR in serum or other solution samples.","PeriodicalId":16551,"journal":{"name":"Journal of Near Infrared Spectroscopy","volume":"24 1","pages":"345 - 352"},"PeriodicalIF":1.9000,"publicationDate":"2016-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1255/jnirs.1224","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Near Infrared Spectroscopy","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1255/jnirs.1224","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 8

Abstract

Near infrared diffuse reflectance spectroscopy (NIR-DRS) is a convenient and fast quantitative method for direct analysis of complex samples. The low sensitivity of NIR-DRS, however, is a problem for micro-analysis. A method for improving the sensitivity of NIR-DRS is proposed using selective adsorption. The method makes use of an adsorbent containing β-cyclodextrin to achieve the specific adsorption of bilirubin (BR). Preconcentration of BR from an aqueous solution with complex matrix was achieved through hydrophobic interaction and hydrogen bonding. Then NIR-DRS of the adsorbate was conducted and a partial least squares model was built for quantitative prediction. Both the preconcentration and the specific adsorption improve the analysis. The former enhances the spectral response by enrichment, and the latter makes the NIR response less affected by interferences such as metal ions, glucose etc. The results for the validation samples were a coefficient of determination (r2) between the predicted and reference concentration of 0.98 with recoveries in the range 94.5′-107.5% in a concentration range of 3.30′-8.60 μg mL−1. The concentration that can be quantitatively detected was as low as 2.60 μg mL−1. Considering that the normal concentration range of BR in serum is 3.5′-10.0 μg mL−1, the method may provide a feasible tool for determination of BR in serum or other solution samples.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
选择性浓度β-环糊精近红外漫反射光谱法测定胆红素
近红外漫反射光谱法(NIR-DRS)是一种方便、快速的直接分析复杂样品的定量方法。然而,NIR-DRS的低灵敏度是微观分析的一个问题。提出了一种利用选择性吸附提高NIR-DRS灵敏度的方法。该方法利用含有β-环糊精的吸附剂实现对胆红素(BR)的特异性吸附。通过疏水相互作用和氢键作用,实现了复合基质水溶液中BR的预富集。然后对吸附质进行NIR-DRS,建立偏最小二乘模型进行定量预测。预富集和特异吸附都提高了分析的准确性。前者通过富集提高了光谱响应,后者使近红外响应受金属离子、葡萄糖等干扰的影响较小。验证样品的预测浓度与标准浓度之间的决定系数(r2)为0.98,在3.30′~ 8.60 μ mL−1范围内加样回收率为94.5′~ 107.5%。可定量检测的浓度低至2.60 μg mL−1。考虑到血清中BR的正常浓度范围为3.5 μg -10.0 μg mL−1,该方法可为血清或其他溶液样品中BR的测定提供一种可行的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
3.30
自引率
5.60%
发文量
35
审稿时长
6 months
期刊介绍: JNIRS — Journal of Near Infrared Spectroscopy is a peer reviewed journal, publishing original research papers, short communications, review articles and letters concerned with near infrared spectroscopy and technology, its application, new instrumentation and the use of chemometric and data handling techniques within NIR.
期刊最新文献
Non-linear machine learning coupled near infrared spectroscopy enhanced model performance and insights for coffee origin traceability Using visible and near infrared spectroscopy and machine learning for estimating total petroleum hydrocarbons in contaminated soils Detection and classification of spongy tissue disorder in mango fruit during ripening by using visible-near infrared spectroscopy and multivariate analysis A method to standardize the temperature for near infrared spectra of the indigo pigment in non-dairy cream based on symbolic regression Moisture content of Panax notoginseng taproot predicted using near infrared spectroscopy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1