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Riswanto FDO, Windarsih A, Lukitaningsih E, Rafi M, Fadzilah NA, Rohman A. Metabolite Fingerprinting Based on 1H-NMR Spectroscopy and Liquid Chromatography for the Authentication of Herbal Products. Molecules 2022; 27:1198. [PMID: 35208988 PMCID: PMC8874729 DOI: 10.3390/molecules27041198] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
Herbal medicines (HMs) are regarded as one of the traditional medicines in health care to prevent and treat some diseases. Some herbal components such as turmeric and ginger are used as HMs, therefore the identification and confirmation of herbal use are very necessary. In addition, the adulteration practice, mainly motivated to gain economical profits, may occur by substituting the high price of HMs with lower-priced ones or by addition of certain chemical constituents known as Bahan Kimia Obat (chemical drug ingredients) in Indonesia. Some analytical methods based on spectroscopic and chromatographic methods are developed for the authenticity and confirmation of the HMs used. Some approaches are explored during HMs authentication including single-component analysis, fingerprinting profiles, and metabolomics studies. The absence of reference standards for certain chemical markers has led to exploring the fingerprinting approach as a tool for the authentication of HMs. During fingerprinting-based spectroscopic and chromatographic methods, the data obtained were big, therefore the use of chemometrics is a must. This review highlights the application of fingerprinting profiles using variables of spectral and chromatogram data for authentication in HMs. Indeed, some chemometrics techniques, mainly pattern recognition either unsupervised or supervised, were applied for this purpose.
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Affiliation(s)
- Florentinus Dika Octa Riswanto
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Division of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Campus III Paingan, Universitas Sanata Dharma, Maguwoharjo, Sleman, Yogyakarta 55282, Indonesia
| | - Anjar Windarsih
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Research Division for Natural Product Technology, National Research and Innovation Agency (BRIN), Yogyakarta 55861, Indonesia
| | - Endang Lukitaningsih
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia;
| | - Mohamad Rafi
- Department of Chemistry, Faculty of Mathematics and Natural Sciences, Kampus IPB Dramaga, IPB University, Bogor 16680, Indonesia;
| | - Nurrulhidayah A. Fadzilah
- International Institute for Halal Research and Training (INHART), International Islamic University of Malaysia (IIUM), Gombak 53100, Malaysia;
| | - Abdul Rohman
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia;
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Kapoor R, Malvandi A, Feng H, Kamruzzaman M. Real-time moisture monitoring of edible coated apple chips during hot air drying using miniature NIR spectroscopy and chemometrics. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2021.112602] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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3
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PLS-DA and infrared spectroscopy based rapid and non-destructive discrimination of black ball and gel pen inks for forensic application. FORENSIC SCIENCE INTERNATIONAL: REPORTS 2021. [DOI: 10.1016/j.fsir.2020.100162] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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4
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Pérez-Cova M, Jaumot J, Tauler R. Untangling comprehensive two-dimensional liquid chromatography data sets using regions of interest and multivariate curve resolution approaches. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116207] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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5
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Peris-Díaz MD, Krężel A. A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116157] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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6
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Pellegrino Vidal RB, Olivieri AC. Contribution to second-order calibration based on multivariate curve resolution with and without previous chromatographic synchronization. Anal Chim Acta 2019; 1078:8-15. [PMID: 31358232 DOI: 10.1016/j.aca.2019.06.038] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 06/04/2019] [Accepted: 06/17/2019] [Indexed: 01/21/2023]
Abstract
Rotational ambiguity in the bilinear solutions provided by multivariate curve resolution - alternating least-squares (MCR-ALS) leads to an additional source of uncertainty in the estimation of analyte concentrations by second-order multivariate calibration. The phenomenon is particularly important when measuring matrix instrumental data derived from liquid chromatography with spectral detection, where elution time profiles usually vary from sample to sample both in position and shape. This makes the data non-trilinear, precluding the use of unique trilinear decomposition models. The present report compares some analytical results achieved by: (1) the usual MCR-ALS analysis of augmented matrices built from raw matrix data and (2) a previously reported procedure based on synchronizing the MCR-ALS elution time profiles using correlation optimized warping (COW), reconstructing the augmented matrix with the spectra and the aligned chromatograms, and then applying MCR-ALS again with the trilinearity constraint, leading to unique solutions, which is possible because the warping process restores the trilinearity of the data. We show that alternative (2) does not solve the rotational ambiguity issues and artificially modifies the original data, without significant improvements in analytical performance. In the simulated systems, the best average errors for alternative (1) were about 2%, whereas for alternative (2) they were in the range 4-11%. For the experimental system, the corresponding errors were 2-3% and 3-4% respectively, i.e. with no significant improvement in going to alternative (2). All efforts should be directed to reduce the degree of rotational ambiguity by applying a full battery of chemically reasonable constraints.
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Affiliation(s)
- Rocío B Pellegrino Vidal
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario, S2002LRK, Argentina
| | - Alejandro C Olivieri
- Departamento de Química Analítica, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario, Instituto de Química de Rosario (IQUIR-CONICET), Suipacha 531, Rosario, S2002LRK, Argentina.
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7
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Deep learning for vibrational spectral analysis: Recent progress and a practical guide. Anal Chim Acta 2019; 1081:6-17. [PMID: 31446965 DOI: 10.1016/j.aca.2019.06.012] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 05/13/2019] [Accepted: 06/05/2019] [Indexed: 12/19/2022]
Abstract
The development of chemometrics aims to provide an effective analysis approach for data generated by advanced analytical instruments. The success of existing analytical approaches in spectral analysis still relies on preprocessing and feature selection techniques to remove signal artifacts based on prior experiences. Data-driven deep learning analysis has been developed and successfully applied in many domains in the last few years. How to integrate deep learning with spectral analysis received increased attention for chemometrics. Approximately 20 recently published studies demonstrate that deep neural networks can learn critical patterns from raw spectra, which significantly reduces the demand for feature engineering. The composition of multiple processing layers improves the fitting and feature extraction capability and makes them applicable to various analytical tasks. This advance offers a new solution for chemometrics toward resolving challenges related to spectral data with rapidly increased sample numbers from various sources. We further provide a practical guide to the development of a deep convolutional neural network-based analytical workflow. The design of the network structure, tuning the hyperparameters in the training process, and repeatability of results is mainly discussed. Future studies are needed on interpretability and repeatability of the deep learning approach in spectral analysis.
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8
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Dąbrowska M, Komsta Ł, Opoka W, Starek M. Chemometric analysis of chromatographic data in stability investigation of cephalosporins. ACTA CHROMATOGR 2018. [DOI: 10.1556/1326.2017.00341] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- M. Dąbrowska
- Department of Inorganic and Analytical Chemistry, Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna St, 30-688 Krakow, Poland
| | - Ł. Komsta
- Department of Medicinal Chemistry, Medical University of Lublin, 4 Jaczewskiego St, 20-090 Lublin, Poland
| | - W. Opoka
- Department of Inorganic and Analytical Chemistry, Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna St, 30-688 Krakow, Poland
| | - M. Starek
- Department of Inorganic and Analytical Chemistry, Faculty of Pharmacy, Jagiellonian University Medical College, 9 Medyczna St, 30-688 Krakow, Poland
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Lombardi JM, Bortolato SA. Functional data analysis, a new approach to aligning three-way liquid chromatographic with fluorescence detection data. Microchem J 2018. [DOI: 10.1016/j.microc.2018.06.041] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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10
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Navarro-Reig M, Bedia C, Tauler R, Jaumot J. Chemometric Strategies for Peak Detection and Profiling from Multidimensional Chromatography. Proteomics 2018; 18:e1700327. [DOI: 10.1002/pmic.201700327] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 03/16/2018] [Indexed: 12/19/2022]
Affiliation(s)
- Meritxell Navarro-Reig
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Carmen Bedia
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Romà Tauler
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
| | - Joaquim Jaumot
- Department of Environmental Chemistry; Institute of Environmental Assessment and Water Research (IDAEA) - Spanish National Research Council (CSIC); Jordi Girona 18-34, E08034 Barcelona Spain
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11
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Ronningen I, Miller M, Xia Y, Peterson DG. Identification and Validation of Sensory-Active Compounds from Data-Driven Research: A Flavoromics Approach. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:2473-2479. [PMID: 28525713 DOI: 10.1021/acs.jafc.7b00093] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
In this study, highly predictive LC-MS features (retention time_ m/ z) derived from untargeted chemical fingerprinting-multivariate analysis (MVA) previously used to model flavor changes in citrus fruits related to aging (freshness) were further isolated and analyzed for sensory impact, followed by structural elucidation. The top 10 statistical features from two MVA approaches, partial least-squares data analysis (PLS-DA) and Random Forrest (RF), were purified to approximately 70% via multidimensional liquid chromatography-mass-directed fractionation to screen for sensory activity. When added to a 'fresh' orange flavor model system, 50-60% of the isolates were reported to cause a sensory change. From the subset of the actives identified, two compounds were selected, on the basis of statistical relevance, that were further purified to >97% for identification (MS, NMR) and for sensory descriptive analysis (DA). The compounds were identified as nomilin glucoside and a novel ionone glucoside. DA evaluation in the recombination orange model indicated both compounds statistically suppressed the perceived intensity of the "orange character" attribute, whereas the novel ionone glycoside also decreased the intensity of the floral character while increasing the green bean attribute intensity.
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Affiliation(s)
- Ian Ronningen
- Department of Food Science , University of Minnesota , St. Paul , Minnesota 55108 , United States
| | - Michelle Miller
- MNMR Center , University of Minnesota , Minneapolis , Minnesota 55455 , United States
| | - Youlin Xia
- MNMR Center , University of Minnesota , Minneapolis , Minnesota 55455 , United States
| | - Devin G Peterson
- Department of Food Science , University of Minnesota , St. Paul , Minnesota 55108 , United States
- 317 Parker Building, Food Science & Technology , The Ohio State University , 2015 Fyffe Road , Columbus , Ohio 43210 , United States
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12
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Sun L, Gao J, Wang M, Zhang H, Liu Y, Ren X, Deng Y. Comprehensive evaluation of chemical stability of Xuebijing injection based on multiwavelength chromatographic fingerprints and multivariate chemometric techniques. J LIQ CHROMATOGR R T 2017. [DOI: 10.1080/10826076.2017.1350864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Lili Sun
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jie Gao
- School of Chemistry, Nankai University, Tianjin, China
| | - Meng Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huijie Zhang
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yanan Liu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiaoliang Ren
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yanru Deng
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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13
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Sun L, Wang M, Liu Y, Zhang H, Liu Y, Ren X, Deng Y. Discrimination of Polygoni Multiflori radix and Cynanchi Auriculati radix using ultra-high performance liquid chromatography fingerprints and chemical pattern recognition. Biomed Chromatogr 2017; 32. [PMID: 28722757 DOI: 10.1002/bmc.4050] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 07/05/2017] [Accepted: 07/13/2017] [Indexed: 11/08/2022]
Abstract
In this work, a strategy was proposed to discriminate Polygoni Multiflori Radix (PMR) and its adulterant (Cynanchi Auriculati Radix, CAR). Ultra-high performance liquid chromatography (UHPLC) fingerprints were established to analyze samples containing PMR, CAR and mixtures simultaneously. Multivariate classification methods were applied to analyze the obtained UHPLC fingerprints, including principal component analysis (PCA), partial least square discriminant analysis (PLS-DA), soft independent modeling of class analogy (SIMCA), support vector machine discriminant analysis (SVMDA) and counter-propagation artificial neural network (CP-ANN). A plot of PCA score showed that PMR and CAR samples belonged to separate clusters (PMR class and CAR class), and samples of mixtures were located near PMR or CAR classes. Analysis by PLS-DA, SVMDA and CP-ANN performed well for recognition and prediction in terms of PMR and CAR samples. Moreover, the PLS-DA method performed best in the detection of adulterated samples, even if the adulterant was about 25%.
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Affiliation(s)
- Lili Sun
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Meng Wang
- Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yali Liu
- Inner Mongolia Electronic Information Vocational Technical College, Inner Mongolia, China
| | - Huijie Zhang
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yanan Liu
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiaoliang Ren
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yanru Deng
- School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China
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Monago-Maraña O, Pérez RL, Escandar GM, Muñoz de la Peña A, Galeano-Díaz T. Combination of Liquid Chromatography with Multivariate Curve Resolution-Alternating Least-Squares (MCR-ALS) in the Quantitation of Polycyclic Aromatic Hydrocarbons Present in Paprika Samples. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2016; 64:8254-8262. [PMID: 27717286 DOI: 10.1021/acs.jafc.6b03852] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
This work presents a strategy for quantitating polycyclic aromatic hydrocarbons (PAHs) in smoked paprika samples. For this, a liquid chromatographic method with fluorimetric detection (HPLC-FLD) was optimized. To resolve some interference co-eluting with the target analytes, the second-order multivariate curve resolution-alternating least-squares (MCR-ALS) algorithm has been employed combined with this liquid chromatographic method. Among the eight PAHs quantified (fluorene, phenanthrene, anthracene, pyrene, chrysene, benzo[a]anthracene, benzo[b]fluoranthene, and benzo[a]pyrene) by HPLC-FLD, only in the case of fluorene, pyrene, and benzo[b]fluoranthene was it necessary to apply the second-order algorithm for their resolution. Limits of detection and quantitation were between 0.015 and 0.45 mg/kg and between 0.15 and 1.5 mg/kg, respectively. Good recovery results (>80%) for paprika were obtained via the complete extraction procedure, consisting of an extraction from the matrix and the cleanup of the extract by means of silica cartridges. Higher concentrations of chrysene, benzo[a]anthracene, benzo[b]fluoranthene, and benzo[a]pyrene were found in the paprika samples, with respect to the maximal amounts allowed for other spices that are under European Regulation (EU) N° 2015/1933.
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Affiliation(s)
- Olga Monago-Maraña
- Department of Analytical Chemistry and IACYS, University of Extremadura , Badajoz 06006, Spain
| | - Rocío L Pérez
- Instituto de Química Rosario (CONICET-UNR), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario , Suipacha, 531, Rosario 2000, Argentina
| | - Graciela M Escandar
- Instituto de Química Rosario (CONICET-UNR), Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario , Suipacha, 531, Rosario 2000, Argentina
| | | | - Teresa Galeano-Díaz
- Department of Analytical Chemistry and IACYS, University of Extremadura , Badajoz 06006, Spain
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Satori CP, Ramezani M, Koopmeiners JS, Meyer AF, Rodriguez-Navarro JA, Kuhns MM, Taylor TH, Haynes CL, Dalluge JJ, Arriaga EA. Checkpoints for Preliminary Identification of Small Molecules found Enriched in Autophagosomes and Activated Mast Cell Secretions Analyzed by Comparative UPLC/MS e. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2016; 9:46-54. [PMID: 28194233 PMCID: PMC5302857 DOI: 10.1039/c6ay02500e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
We report the use of ultra high performance liquid chromatography (UPLC) coupled with acquisition of low- and high-collision energy mass spectra (MSe) to explore small molecule compositions that are unique to either enriched-autophagosomes or secretions of chemically activated murine mast cells. Starting with thousands of features, each defined by a chromatographic retention time, m/z values and ion intensities, manual examination of the extracted ion chromatograms (XIC) of chemometrically selected features was essential to eliminate false positives, occurring at rates of 33, 14 and 37% in samples of three biological systems. Forty-six percent of features that passed the XIC-based checkpoint, had IDs in compound databases used here. From these, 19% of IDs had experimental high-collision energy MSe spectra that were in agreement with in-silico fragmentation. The importance of this second checkpoint was highligthed through validation with selected commercially available standards. This work illustrates that checkpoints in data processing are essential to ascertain reliability of unbiased metabolomic studies, thereby reducing the risk of generating 'false identifications' which are is a major concern as 'omics' data continue to proliferate and be used as platforms to lauch novel biological hypotheses.
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Affiliation(s)
- Chad P. Satori
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | - Marzieh Ramezani
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | - Joseph S. Koopmeiners
- University of Minnesota, Division of Biostatistics, 420 Delaware Street SE, Minneapolis MN, 55455, United States
| | - Audrey F. Meyer
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | - Jose A. Rodriguez-Navarro
- Albert Einstein College of Medicine, Institute for Aging Studies, Marion Besin Liver Research Center, Department of Developmental and Molecular Biology, 1300 Morris Park Avenue, Bronx, NY 10461, United States
| | - Michelle M. Kuhns
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | - Thane H. Taylor
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | - Christy L. Haynes
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
| | | | - Edgar A. Arriaga
- University of Minnesota, Department of Chemistry, 207 Pleasant Street SE, Minneapolis, MN, 55455-0431, United States
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Dinç E, Büker E. Parallel factor analysis and trilinear partial least squares applied to the UPLC-PDA data array for the quantification of brimonidine tartrate and timolol maleate in an eye drop formulation. J LIQ CHROMATOGR R T 2016. [DOI: 10.1080/10826076.2016.1174941] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Erdal Dinç
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Tandoğan, Ankara, Turkey
| | - Eda Büker
- Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, Tandoğan, Ankara, Turkey
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17
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Dinç E, Ertekin ZC. Three-way analysis of the UPLC–PDA dataset for the multicomponent quantitation of hydrochlorothiazide and olmesartan medoxomil in tablets by parallel factor analysis and three-way partial least squares. Talanta 2016; 148:144-52. [DOI: 10.1016/j.talanta.2015.10.074] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Revised: 10/14/2015] [Accepted: 10/24/2015] [Indexed: 11/26/2022]
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18
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Lopatka M, Barcaru A, Sjerps MJ, Vivó-Truyols G. Leveraging probabilistic peak detection to estimate baseline drift in complex chromatographic samples. J Chromatogr A 2016; 1431:122-130. [DOI: 10.1016/j.chroma.2015.12.063] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 12/18/2015] [Accepted: 12/23/2015] [Indexed: 01/13/2023]
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19
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Murugesan S, Tay DB, Cooke I, Faou P. Application of dual tree complex wavelet transform in tandem mass spectrometry. Comput Biol Med 2015; 63:36-41. [DOI: 10.1016/j.compbiomed.2015.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Revised: 05/01/2015] [Accepted: 05/02/2015] [Indexed: 11/26/2022]
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Olivieri AC, Escandar GM, Goicoechea HC, de la Peña AM. Unfolded and Multiway Partial Least-Squares with Residual Multilinearization. DATA HANDLING IN SCIENCE AND TECHNOLOGY 2015. [DOI: 10.1016/b978-0-444-63527-3.00008-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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21
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Detection of discoloration in diesel fuel based on gas chromatographic fingerprints. Anal Bioanal Chem 2014; 407:1159-70. [PMID: 25407430 PMCID: PMC4305096 DOI: 10.1007/s00216-014-8332-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 10/31/2014] [Accepted: 11/07/2014] [Indexed: 11/08/2022]
Abstract
In the countries of the European Community, diesel fuel samples are spiked with Solvent Yellow 124 and either Solvent Red 19 or Solvent Red 164. Their presence at a given concentration indicates the specific tax rate and determines the usage of fuel. The removal of these so-called excise duty components, which is known as fuel “laundering”, is an illegal action that causes a substantial loss in a government’s budget. The aim of our study was to prove that genuine diesel fuel samples and their counterfeit variants (obtained from a simulated sorption process) can be differentiated by using their gas chromatographic fingerprints that are registered with a flame ionization detector. To achieve this aim, a discriminant partial least squares analysis, PLS-DA, for the genuine and counterfeit oil fingerprints after a baseline correction and the alignment of peaks was constructed and validated. Uninformative variables elimination (UVE), variable importance in projection (VIP), and selectivity ratio (SR), which were coupled with a bootstrap procedure, were adapted in PLS-DA in order to limit the possibility of model overfitting. Several major chemical components within the regions that are relevant to the discriminant problem were suggested as being the most influential. We also found that the bootstrap variants of UVE-PLS-DA and SR-PLS-DA have excellent predictive abilities for a limited number of gas chromatographic features, 14 and 16, respectively. This conclusion was also supported by the unitary values that were obtained for the area under the receiver operating curve (AUC) independently for the model and test sets.
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Korifi R, Le Dréau Y, Dupuy N. Comparative study of the alignment method on experimental and simulated chromatographic data. J Sep Sci 2014; 37:3276-91. [PMID: 25197022 DOI: 10.1002/jssc.201400700] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Revised: 08/13/2014] [Accepted: 08/24/2014] [Indexed: 11/06/2022]
Abstract
One of the major problems in the signal comparison of chromatographic data is the variability of response caused by instrumental drifts and others instabilities. Measures of quality control and evaluation of conformity are inherently sensitive to shift. It is essential to be able to compare test samples to reference samples in an evolutionary analytical environment by offsetting the inevitable drift. Therefore, prior to any multivariate analysis, the alignment of analytical signals is a compulsory preprocessing step. During recent years, many researchers have taken a greater interest in the study of the alignment. The present paper is an updated review on the alignment algorithms, methods, and improvements used in chromatography. The study is dedicated to one-dimensional signals. Several of the exposed methods have common theoretical bases and can differ through their optimization methods. The main issue for the operator is to choose the appropriate method according to the type of signals to be processed.
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Affiliation(s)
- Rabia Korifi
- Laboratoire LISA, EA 4672 Equipe METICA, Case 451, Aix-Marseille Université, Marseille Cedex, France
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Orzel J, Daszykowski M, Kazura M, de Beer D, Joubert E, Schulze AE, Beelders T, de Villiers A, Malherbe CJ, Walczak B. Modeling of the total antioxidant capacity of rooibos (Aspalathus linearis) tea infusions from chromatographic fingerprints and identification of potential antioxidant markers. J Chromatogr A 2014; 1366:101-9. [PMID: 25283576 DOI: 10.1016/j.chroma.2014.09.030] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2014] [Revised: 09/12/2014] [Accepted: 09/12/2014] [Indexed: 02/06/2023]
Abstract
Models to predict the total antioxidant capacity (TAC) of rooibos tea infusions from their chromatographic fingerprints and peak table data (content of individual phenolic compounds), obtained using HPLC with diode array detection, were developed in order to identify potential antioxidant markers. Peak table data included the content of 12 compounds, namely phenylpyruvic acid-2-O-glucoside, aspalathin, nothofagin, isoorientin, orientin, ferulic acid, quercetin-3-O-robinobioside, vitexin, hyperoside, rutin, isovitexin and isoquercitrin. The TAC values, measured using the oxygen radical absorbance capacity (ORAC) and DPPH radical scavenging assays, could be predicted from the peak table data or the chromatographic fingerprints (prediction errors 9-12%) using partial least squares (PLS) regression. Prediction models created from samples of only two production years could additionally be used to predict the TAC of samples from another production year (prediction errors<13%) indicating the robustness of the models in a quality control environment. Furthermore, the uninformative variable elimination (UVE)-PLS method was used to identify potential antioxidant markers for rooibos infusions. All individual phenolic compounds that were quantified were selected as informative variables, except vitexin, while UVE-PLS models developed from chromatographic fingerprints indicated additional antioxidant markers, namely (S)-eriodictyol-6-C-glucoside, (R)-eriodictyol-6-C-glucoside, aspalalinin and two unidentified compounds. The potential antioxidant markers should be validated prior to use in quality control of rooibos tea.
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Affiliation(s)
- Joanna Orzel
- Institute of Chemistry, The University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland
| | - Michal Daszykowski
- Institute of Chemistry, The University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland.
| | - Malgorzata Kazura
- Institute of Chemistry, The University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland
| | - Dalene de Beer
- Post-Harvest and Wine Technology Division, Agricultural Research Council (ARC), Infruitec-Nietvoorbij, Private Bag X5026, Stellenbosch 7599, South Africa
| | - Elizabeth Joubert
- Post-Harvest and Wine Technology Division, Agricultural Research Council (ARC), Infruitec-Nietvoorbij, Private Bag X5026, Stellenbosch 7599, South Africa; Department of Food Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch) 7602, South Africa
| | - Alexandra E Schulze
- Department of Food Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch) 7602, South Africa
| | - Theresa Beelders
- Department of Food Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch) 7602, South Africa
| | - André de Villiers
- Department of Chemistry and Polymer Science, Stellenbosch University, Private Bag X1, Matieland (Stellenbosch) 7602, South Africa
| | - Christiaan J Malherbe
- Post-Harvest and Wine Technology Division, Agricultural Research Council (ARC), Infruitec-Nietvoorbij, Private Bag X5026, Stellenbosch 7599, South Africa
| | - Beata Walczak
- Institute of Chemistry, The University of Silesia, 9 Szkolna Street, 40-006 Katowice, Poland
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24
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Obedkova EV, Kartsova LA, Kirsanov DO, Velikanova LI, Legin AV. Generation of characteristic profiles of steroid hormones by reversed-phase HPLC. JOURNAL OF ANALYTICAL CHEMISTRY 2014. [DOI: 10.1134/s1061934814020117] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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25
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Escandar GM, Goicoechea HC, Muñoz de la Peña A, Olivieri AC. Second- and higher-order data generation and calibration: A tutorial. Anal Chim Acta 2014; 806:8-26. [DOI: 10.1016/j.aca.2013.11.009] [Citation(s) in RCA: 120] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2013] [Revised: 10/30/2013] [Accepted: 11/03/2013] [Indexed: 10/26/2022]
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26
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Świeboda R, Jóźwiak A, Jóźwiak G, Waksmundzka-Hajnos M. Thin Layer Chromatography and Chemometric Studies of Selected <i>Potentilla</i> Species. ACTA ACUST UNITED AC 2014. [DOI: 10.4236/ajac.2014.516118] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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27
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Dharuman JG, Vasudevan M. Reliability-targeted HPLC-UV method validation-A protocol enrichment perspective. J Sep Sci 2013; 37:228-36. [DOI: 10.1002/jssc.201300845] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2013] [Revised: 10/28/2013] [Accepted: 11/11/2013] [Indexed: 11/09/2022]
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28
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Li Z, Zhan DJ, Wang JJ, Huang J, Xu QS, Zhang ZM, Zheng YB, Liang YZ, Wang H. Morphological weighted penalized least squares for background correction. Analyst 2013; 138:4483-92. [PMID: 23778299 DOI: 10.1039/c3an00743j] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Backgrounds existing in the analytical signal always impair the effectiveness of signals and compromise selectivity and sensitivity of analytical methods. In order to perform further qualitative or quantitative analysis, the background should be corrected with a reasonable method. For this purpose, a new automatic method for background correction, which is based on morphological operations and weighted penalized least squares (MPLS), has been developed in this paper. It requires neither prior knowledge about the background nor an iteration procedure or manual selection of a suitable local minimum value. The method has been successfully applied to simulated datasets as well as experimental datasets from different instruments. The results show that the method is quite flexible and could handle different kinds of backgrounds. The proposed MPLS method is implemented and available as an open source package at http://code.google.com/p/mpls.
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Affiliation(s)
- Zhong Li
- Yunnan Academy of Tobacco Science, Kunming 650106, PR China
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29
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Bork C, Ng K, Liu Y, Yee A, Pohlscheidt M. Chromatographic peak alignment using derivative dynamic time warping. Biotechnol Prog 2013; 29:394-402. [DOI: 10.1002/btpr.1680] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2012] [Revised: 10/09/2012] [Indexed: 11/09/2022]
Affiliation(s)
- Christopher Bork
- Manufacturing Science and Technology; Genentech, Inc.; 1 Antibody Way Oceanside CA 92056
| | - Kenneth Ng
- Manufacturing Science and Technology; Genentech, Inc.; 1 Antibody Way Oceanside CA 92056
| | - Yinhan Liu
- Dept. of Chemical Engineering; University of Minnesota; Twin Cities, 100 Church St. SE Minneapolis MN 55455
| | - Alex Yee
- Dept. of Bioengineering; Stanford University; 318 Campus Dr. Stanford CA 94304
| | - Michael Pohlscheidt
- Manufacturing Science and Technology; Genentech, Inc.; 1 Antibody Way Oceanside CA 92056
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30
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Abstract
An algorithm, referred to as targeted mass spectral ratio analysis (TMSRA) is presented whereby the ratios between intensities as a function of mass channel (m/z) of a target analyte mass spectrum are used to automatically determine which m/z are sufficiently pure to quantify the analyte in a sample gas chromatogram. The standard perfluorotributylamine (PFTBA) was used to evaluate the reproducibility of the collected mass spectra, which aided in selecting a mass spectral threshold for TMSRA application to a subsequent case study. Results with PFTBA suggested that a threshold of all m/z at or above 1% of the highest recorded m/z intensity should be included for targeted analysis. For the case study, 1-heptene was selected as the target analyte and n-heptane was selected as the interfering compound. These two compounds were chosen since their mass spectra are very similar. Chromatographic data containing a pure peak for these analytes were extracted, and mathematically added at various temporal offsets to generate various degrees of chromatographic resolution, R(s), for the purpose of evaluating algorithm performance, and indeed, TMSRA successfully quantified 1-heptene. At the higher R(s) studied (0.6 ≤ R(s) ≤ 1.5) a deviation within ± 1% and a RSD generally below 1% were achieved for 1-heptene quantification. As the R(s) decreased, the deviation and RSD both increased. At a R(s)=0, a deviation of ≈ 9% and a RSD of ≈ 9% were achieved.
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31
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Arancibia JA, Damiani PC, Escandar GM, Ibañez GA, Olivieri AC. A review on second- and third-order multivariate calibration applied to chromatographic data. J Chromatogr B Analyt Technol Biomed Life Sci 2012; 910:22-30. [DOI: 10.1016/j.jchromb.2012.02.004] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2011] [Revised: 01/20/2012] [Accepted: 02/05/2012] [Indexed: 11/25/2022]
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32
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Deconinck E, Sacré P, Courselle P, De Beer J. Chemometrics and chromatographic fingerprints to discriminate and classify counterfeit medicines containing PDE-5 inhibitors. Talanta 2012; 100:123-33. [DOI: 10.1016/j.talanta.2012.08.029] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2012] [Revised: 08/13/2012] [Accepted: 08/22/2012] [Indexed: 10/27/2022]
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33
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Tistaert C, Vander Heyden Y. Bilinear Decomposition Based Alignment of Chromatographic Profiles. Anal Chem 2012; 84:5653-60. [DOI: 10.1021/ac300735a] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Christophe Tistaert
- Department of Analytical
Chemistry and Pharmaceutical
Technology, Center for Pharmaceutical Research (CePhaR), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103,
B-1090 Brussels, Belgium
| | - Yvan Vander Heyden
- Department of Analytical
Chemistry and Pharmaceutical
Technology, Center for Pharmaceutical Research (CePhaR), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103,
B-1090 Brussels, Belgium
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34
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Lucio-Gutiérrez JR, Garza-Juárez A, Coello J, Maspoch S, Salazar-Cavazos M, Salazar-Aranda R, Waksman de Torres N. Multi-wavelength high-performance liquid chromatographic fingerprints and chemometrics to predict the antioxidant activity of Turnera diffusa as part of its quality control. J Chromatogr A 2012; 1235:68-76. [DOI: 10.1016/j.chroma.2012.02.042] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2011] [Revised: 02/16/2012] [Accepted: 02/17/2012] [Indexed: 11/30/2022]
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35
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Combining chromatography and chemometrics for the characterization and authentication of fats and oils from triacylglycerol compositional data—A review. Anal Chim Acta 2012; 724:1-11. [DOI: 10.1016/j.aca.2012.02.041] [Citation(s) in RCA: 107] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2011] [Revised: 02/21/2012] [Accepted: 02/22/2012] [Indexed: 11/21/2022]
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36
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Kirsanov D, Khaydukova M, Tkachenko L, Legin A, Babain V. Potentiometric Sensor Array for Analysis of Complex Rare Earth Mixtures. ELECTROANAL 2011. [DOI: 10.1002/elan.201100439] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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37
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Enhanced chromatographic fingerprinting of herb materials by multi-wavelength selection and chemometrics. Anal Chim Acta 2011; 710:40-9. [PMID: 22123110 DOI: 10.1016/j.aca.2011.10.010] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2011] [Revised: 07/29/2011] [Accepted: 10/05/2011] [Indexed: 11/21/2022]
Abstract
A strategy for multi-wavelength chromatographic fingerprinting of herbal materials, using high performance liquid chromatography with a UV-Vis diode array detector is presented. Valeriana officinalis was selected to show the proposed methodology since it is a widely used commercially available herbal drug, and because misfit with other valerian species is a current issue. The enhanced fingerprints were constructed by compiling into a single data vector the chromatograms from four wavelengths (226, 254, 280 and 326 nm), at which characteristic chemical constituents of studied herbs presented maximum absorbance. Chromatographic data pretreatment included baseline correction, normalization and correlation optimized warping. A simplex optimization was performed to retrieve the optimal values of the parameters used in the warping. General success rates of a classification above 90% were achieved by soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA). The sensitivity and specificity of constructed models were above 94%. Tests on laboratory-made mixtures showed that it is possible to detect adulterations or counterfeits with 5% foreign herbal material, even if it is from the Valerianaceae family. The results suggest that the proposed enhanced fingerprinting approach can be used to authenticate herb materials with complex chromatographic profiles.
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38
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Culzoni M, Mancha de Llanos A, De Zan M, Espinosa-Mansilla A, Cañada-Cañada F, Muñoz de la Peña A, Goicoechea H. Enhanced MCR-ALS modeling of HPLC with fast scan fluorimetric detection second-order data for quantitation of metabolic disorder marker pteridines in urine. Talanta 2011; 85:2368-74. [DOI: 10.1016/j.talanta.2011.07.086] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2011] [Revised: 07/11/2011] [Accepted: 07/23/2011] [Indexed: 11/30/2022]
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39
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Vosough M, Mojdehi NR. Fast liquid chromatography-diode array detection assisted by chemometrics for quantification of seven ultraviolet filters in effluent wastewater. Talanta 2011; 85:2175-81. [DOI: 10.1016/j.talanta.2011.07.068] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2011] [Revised: 07/18/2011] [Accepted: 07/19/2011] [Indexed: 11/28/2022]
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40
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Sacré PY, Deconinck E, Daszykowski M, Courselle P, Vancauwenberghe R, Chiap P, Crommen J, De Beer JO. Impurity fingerprints for the identification of counterfeit medicines—A feasibility study. Anal Chim Acta 2011; 701:224-31. [DOI: 10.1016/j.aca.2011.05.041] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2011] [Revised: 05/25/2011] [Accepted: 05/27/2011] [Indexed: 10/18/2022]
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41
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Keithley RB, Wightman RM. Assessing principal component regression prediction of neurochemicals detected with fast-scan cyclic voltammetry. ACS Chem Neurosci 2011; 2:514-525. [PMID: 21966586 DOI: 10.1021/cn200035u] [Citation(s) in RCA: 64] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Principal component regression is a multivariate data analysis approach routinely used to predict neurochemical concentrations from in vivo fast-scan cyclic voltammetry measurements. This mathematical procedure can rapidly be employed with present day computer programming languages. Here, we evaluate several methods that can be used to evaluate and improve multivariate concentration determination. The cyclic voltammetric representation of the calculated regression vector is shown to be a valuable tool in determining whether the calculated multivariate model is chemically appropriate. The use of Cook's distance successfully identified outliers contained within in vivo fast-scan cyclic voltammetry training sets. This work also presents the first direct interpretation of a residual color plot and demonstrated the effect of peak shifts on predicted dopamine concentrations. Finally, separate analyses of smaller increments of a single continuous measurement could not be concatenated without substantial error in the predicted neurochemical concentrations due to electrode drift. Taken together, these tools allow for the construction of more robust multivariate calibration models and provide the first approach to assess the predictive ability of a procedure that is inherently impossible to validate because of the lack of in vivo standards.
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Affiliation(s)
- Richard B. Keithley
- Department of Chemistry and ‡Neuroscience Center and Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
| | - R. Mark Wightman
- Department of Chemistry and ‡Neuroscience Center and Neurobiology Curriculum, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, United States
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42
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Komsta Ł, Cieśla Ł, Bogucka-Kocka A, Józefczyk A, Kryszeń J, Waksmundzka-Hajnos M. The start-to-end chemometric image processing of 2D thin-layer videoscans. J Chromatogr A 2011; 1218:2820-5. [PMID: 21183184 DOI: 10.1016/j.chroma.2010.12.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2010] [Revised: 11/30/2010] [Accepted: 12/02/2010] [Indexed: 11/30/2022]
Affiliation(s)
- Łukasz Komsta
- Department of Medicinal Chemistry, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland
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43
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Komsta Ł. Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression. Chromatographia 2011; 73:721-731. [PMID: 21516139 PMCID: PMC3064906 DOI: 10.1007/s10337-011-1962-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2010] [Revised: 12/29/2010] [Accepted: 02/04/2011] [Indexed: 12/01/2022]
Abstract
The article is intended to introduce and discuss a new quantile regression method for baseline detrending of chromatographic signals. It is compared with current methods based on polynomial fitting, spline fitting, LOESS, and Whittaker smoother, each with thresholding and reweighting approach. For curve flexibility selection in existing algorithms, a new method based on skewness of the residuals is successfully applied. The computational efficiency of all approaches is also discussed. The newly introduced methods could be preferred to visible better performance and short computational time. The other algorithms behave in comparable way, and polynomial regression can be here preferred due to short computational time.
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Affiliation(s)
- Ł. Komsta
- Department of Medicinal Chemistry, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland
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44
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Martins LRR, Pereira-Filho ER, Cass QB. Chromatographic profiles of Phyllanthus aqueous extracts samples: a proposition of classification using chemometric models. Anal Bioanal Chem 2011; 400:469-81. [DOI: 10.1007/s00216-011-4749-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2010] [Revised: 01/29/2011] [Accepted: 01/31/2011] [Indexed: 10/18/2022]
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45
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Goicoechea H, Culzoni M, García MG, Galera MM. Chemometric strategies for enhancing the chromatographic methodologies with second-order data analysis of compounds when peaks are overlapped. Talanta 2011; 83:1098-107. [DOI: 10.1016/j.talanta.2010.07.057] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2010] [Revised: 07/13/2010] [Accepted: 07/24/2010] [Indexed: 10/19/2022]
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46
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Multivariate curve-resolution analysis of pesticides in water samples from liquid chromatographic–diode array data. Talanta 2011; 83:1173-80. [DOI: 10.1016/j.talanta.2010.06.059] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2010] [Revised: 06/17/2010] [Accepted: 06/29/2010] [Indexed: 11/22/2022]
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47
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Gröger T, Zimmermann R. Application of parallel computing to speed up chemometrics for GC×GC–TOFMS based metabolic fingerprinting. Talanta 2011; 83:1289-94. [DOI: 10.1016/j.talanta.2010.09.015] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2010] [Revised: 08/25/2010] [Accepted: 09/08/2010] [Indexed: 12/13/2022]
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48
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Science based calibration for the extraction of ‘analyte-specific’ HPLC-DAD chromatograms in environmental analysis. Talanta 2011; 83:1158-65. [DOI: 10.1016/j.talanta.2010.07.060] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2010] [Revised: 07/20/2010] [Accepted: 07/24/2010] [Indexed: 11/18/2022]
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49
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Determination of marker pteridines in urine by HPLC with fluorimetric detection and second-order multivariate calibration using MCR-ALS. Anal Bioanal Chem 2010; 399:2123-35. [DOI: 10.1007/s00216-010-4071-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2010] [Revised: 07/22/2010] [Accepted: 07/29/2010] [Indexed: 10/19/2022]
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50
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