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通过无试剂可见-近红外光谱结合化学计量学快速同时分析血清中直接和间接胆红素指标。

Rapid and simultaneous analysis of direct and indirect bilirubin indicators in serum through reagent-free visible-near-infrared spectroscopy combined with chemometrics.

机构信息

Department of Optoelectronic Engineering, Jinan University, Huangpu Road West 601, Tianhe District, Guangzhou 510632, China.

Department of Biological Engineering, Jinan University, Huangpu Road West 601, Tianhe District, Guangzhou 510632, China.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2020 Jun 5;233:118215. doi: 10.1016/j.saa.2020.118215. Epub 2020 Mar 2.

Abstract

Indirect (IBil), direct (DBil) and total (TBil) bilirubin are important clinical indicators of hepatobiliary diseases, which require rapid detection in diagnosis and treatment. IBil and DBil have a structural relationship with several macromolecules in hepatobiliary metabolism. Here, the rapid analysis models for bilirubin indicators using serum visible-near-infrared (Vis-NIR) spectroscopy were established. Norris derivative filter with optimisation was used for spectral pretreatment; the optimal parameters (derivative order, number of smoothing points, number of differential gaps) were (2, 15, 9) for IBil; (2, 13, 9) for DBil, respectively. Equidistant combination-partial least squares (EC-PLS) was used for large-scale wavelength screening. Wavelength step-by-step phase-out PLS (WSP-PLS) was used for secondary wavelength optimisation. The wavelength models of the optimal EC-WSP-PLS for IBil and DBil included 11 and 18 wavelengths, respectively. In independent validation, the root-mean-square errors and correlation coefficient for prediction (SEP, R), and ratio of performance-to-deviation (RPD) were 0.90 μmol L, 0.975, and 4.4 for IBil; 0.71 μmol L, 0.955, and 3.3 for DBil, respectively. TBil was subjected to spectral analysis, and the summation of the prediction values of IBil and DBil was compared. The latter was obviously better, and SEP, R, RPD were 0.82 μmol L, 0.990, 7.1, respectively. The results for IBil, DBil and TBil indicated high correlation, low error and good overall prediction ability and confirmed the feasibility of the simultaneous analysis of bilirubin indicators through reagent-free serum Vis-NIR spectroscopy. The proposed method is crucial for the rapid screening of large populations and the treatment of hepatobiliary diseases.

摘要

间接胆红素(IBil)、直接胆红素(DBil)和总胆红素(TBil)是肝胆疾病的重要临床指标,在诊断和治疗中需要快速检测。IBil 和 DBil 与肝胆代谢中的几种大分子物质具有结构关系。本文建立了基于血清可见-近红外(Vis-NIR)光谱的胆红素指标快速分析模型。采用 Norris 导数滤波器进行光谱预处理,优化后的最佳参数(导数阶数、平滑点数、差分间隔数)分别为 IBil(2,15,9)和 DBil(2,13,9)。等距组合偏最小二乘法(EC-PLS)用于大规模波长筛选,波长逐步淘汰偏最小二乘法(WSP-PLS)用于二次波长优化。IBil 和 DBil 的最佳 EC-WSP-PLS 波长模型分别包含 11 和 18 个波长。在独立验证中,IBil 和 DBil 的预测均方根误差和相关系数(SEP、R)以及性能偏差比(RPD)分别为 0.90μmol·L-1、0.975 和 4.4;0.71μmol·L-1、0.955 和 3.3。对 TBil 进行光谱分析,比较 IBil 和 DBil 预测值的总和,后者明显更好,SEP、R、RPD 分别为 0.82μmol·L-1、0.990 和 7.1。IBil、DBil 和 TBil 的结果表明,相关性高、误差低、整体预测能力好,证实了无试剂血清 Vis-NIR 光谱同时分析胆红素指标的可行性。该方法对于快速筛选大人群和肝胆疾病的治疗具有重要意义。

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