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在线二极管阵列检测二维液相色谱中背景校正对峰检测和定量的影响。

Effect of background correction on peak detection and quantification in online comprehensive two-dimensional liquid chromatography using diode array detection.

机构信息

Department of Chemistry, Virginia Commonwealth University, Richmond, VA 23284-2006, USA.

出版信息

J Chromatogr A. 2012 Sep 7;1254:51-61. doi: 10.1016/j.chroma.2012.07.034. Epub 2012 Jul 20.

Abstract

A singular value decomposition-based background correction (SVD-BC) technique is proposed for the reduction of background contributions in online comprehensive two-dimensional liquid chromatography (LC×LC) data. The SVD-BC technique was compared to simply subtracting a blank chromatogram from a sample chromatogram and to a previously reported background correction technique for one dimensional chromatography, which uses an asymmetric weighted least squares (AWLS) approach. AWLS was the only background correction technique to completely remove the background artifacts from the samples as evaluated by visual inspection. However, the SVD-BC technique greatly reduced or eliminated the background artifacts as well and preserved the peak intensity better than AWLS. The loss in peak intensity by AWLS resulted in lower peak counts at the detection thresholds established using standards samples. However, the SVD-BC technique was found to introduce noise which led to detection of false peaks at the lower detection thresholds. As a result, the AWLS technique gave more precise peak counts than the SVD-BC technique, particularly at the lower detection thresholds. While the AWLS technique resulted in more consistent percent residual standard deviation values, a statistical improvement in peak quantification after background correction was not found regardless of the background correction technique used.

摘要

提出了一种基于奇异值分解的背景校正(SVD-BC)技术,用于减少在线二维液相色谱(LC×LC)数据中背景贡献。将 SVD-BC 技术与简单地从样品色谱图中减去空白色谱图以及先前报道的一维色谱背景校正技术(使用不对称加权最小二乘法(AWLS)方法)进行了比较。AWLS 是唯一一种通过目视检查从样品中完全去除背景伪影的背景校正技术。然而,SVD-BC 技术也大大降低或消除了背景伪影,并且比 AWLS 更好地保留了峰强度。AWLS 导致的峰强度损失导致使用标准样品建立的检测阈值下的峰计数较低。然而,发现 SVD-BC 技术会引入噪声,从而在较低的检测阈值下检测到假峰。因此,AWLS 技术比 SVD-BC 技术提供了更精确的峰计数,特别是在较低的检测阈值下。虽然 AWLS 技术导致更一致的残留标准偏差百分比值,但无论使用哪种背景校正技术,都未发现峰定量后有统计学上的改善。

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