ORCID Profile
0000-0002-0213-9853
Current Organisation
University of Tasmania
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Publisher: Hindawi Limited
Date: 2015
DOI: 10.1155/2015/681320
Abstract: A highly sensitive three-dimensional excitation-emission fluorescence method was proposed to determine antihypertensives including valsartan and amlodipine besylate in human plasma with the aid of second-order calibration methods based on parallel factor analysis (PARAFAC) and alternating trilinear decomposition (ATLD) algorithms. Antihypertensives with weak fluorescent can be transformed into a strong fluorescent property by changing microenvironment in s les using micellar enhanced surfactant. Both the adopted algorithms with second-order advantage can improve the resolution and directly attain antihypertensives concentration even in the presence of potential strong intrinsic fluorescence from human plasma. The satisfactory results can be achieved for valsartan and amlodipine besylate in complicated human plasma. Furthermore, some statistical parameters and figures of merit were evaluated to investigate the performance of the proposed method, and the accuracy and precision of the proposed method were also validated by the elliptical joint confidence region (EJCR) test and repeatability analysis of intraday and interday assay. The proposed method could not only light a new avenue to directly determine valsartan or amlodipine besylate in human plasma, but also hold great potential to be extended as a promising alternative for more practical applications in the determination of weak fluorescent drugs.
Publisher: Springer Science and Business Media LLC
Date: 02-03-2016
Publisher: Royal Society of Chemistry (RSC)
Date: 2016
DOI: 10.1039/C5AY02436F
Abstract: A new strategy was developed for quantitative analysis of acid metabolites in plant s les.
Publisher: Elsevier BV
Date: 07-2017
DOI: 10.1016/J.FOODCHEM.2017.01.061
Abstract: Fourier transform near-infrared (FT-NIR) spectroscopy and chemometrics were adopted for the rapid analysis of a toxic additive, maleic acid (MA), which has emerged as a new extraneous adulterant in cassava starch (CS). After developing an untargeted screening method for MA detection in CS using one-class partial least squares (OCPLS), multivariate calibration models were subsequently developed using least squares support vector machine (LS-SVM) to quantitatively analyze MA. As a result, the OCPLS model using the second-order derivative (D2) spectra detected 0.6%(w/w) adulterated MA in CS, with a sensitivity of 0.954 and specificity of 0.956. The root mean squared error of prediction (RMSEP) was 0.192(w/w, %) by using the standard normal variate (SNV) transformation LS-SVM. In conclusion, the potential of FT-NIR spectroscopy and chemometrics was demonstrated for application in rapid screening and quantitative analysis of MA in CS, which also implies that they have other promising applications for untargeted analysis.
Publisher: Springer Science and Business Media LLC
Date: 21-03-2017
DOI: 10.1038/S41598-017-00390-7
Abstract: Time shift among s les remains a significant challenge in data analysis, such as quality control of natural plant extracts and metabolic profiling analysis, because this phenomenon may lead to invalid conclusions. In this work, we propose a new time shift alignment method, namely, automatic time-shift alignment (ATSA), for complicated chromatographic data analysis. This technique comprised the following alignment stages: (1) automatic baseline correction and peak detection stage for providing useful chromatographic information (2) preliminary alignment stage through adaptive segment partition to correct alignment for the entire chromatogram and (3) precise alignment stage based on test chromatographic peak information to accurately align time shift. In ATSA, the chromatographic peak information of both reference and test s les can be completely employed for time-shift alignment to determine segment boundaries and avoid loss of information. ATSA was used to analyze a complicated chromatographic dataset. The obtained correlation coefficients among s les and data analysis efficiency indicated that the influences of time shift can be considerably reduced by ATSA thus accurate conclusion could be obtained.
Publisher: Springer Science and Business Media LLC
Date: 09-06-2015
Publisher: Springer Science and Business Media LLC
Date: 18-11-2016
Publisher: Springer Science and Business Media LLC
Date: 25-11-2017
No related grants have been discovered for Hedong Li.