Relevant bibliographies by topics / PLSDA/PCA

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  1. Journal articles
  2. Dissertations / Theses

Academic literature on the topic 'PLSDA/PCA'

Author: Grafiati
Published: 10 September 2022
Last updated: 31 July 2025

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Journal articles on the topic "PLSDA/PCA"

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Yan, Si-Min, Zi-Feng Hu, Cheng-Xin Wu, et al. "Electronic Tongue Combined with Chemometrics to Provenance Discrimination for a Green Tea (Anji-White Tea)." Journal of Food Quality 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/3573197.

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This paper aims to provide a stable instrumental method for provenance discrimination of Anji-White tea by its distinctive taste. 180 authentic and 60 counterfeit white tea samples were collected for specific geographical origins detection; all of them were measured by electronic tongue coupled with 7 independent sensors. Therefore, chemometrics methods, principal component analysis (PCA), and partial least squares discriminant analysis (PLSDA) were performed in classification. The PCA distribution shows that, in provenance analysis, PCA is a simple and reliable tool for small sample sets, but
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2

Ma, Yue, Yichao Xu, Hui Yan, and Guozheng Zhang. "On-line identification of silkworm pupae gender by short-wavelength near infrared spectroscopy and pattern recognition technology." Journal of Near Infrared Spectroscopy 29, no. 4 (2021): 207–15. http://dx.doi.org/10.1177/0967033521999745.

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The gender identification of silkworm pupae is a critical step in the sericulture industry's breeding process. In this study, a low cost, short-wavelength (815-1075 nm) near infrared (NIR) spectrometer combined with multivariate spectra evaluation methods was used to establish calibration models for the on-line identification of female and male pupae of eight silkworm varieties. The diffuse reflection short-wavelength spectra were recorded, and then principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares discriminant analysis (PLSDA) were tested for ca
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Raimondo, Mariangela, Anna Borioni, Francesca Prestinaci, Isabella Sestili, and Maria Cristina Gaudiano. "A NIR, 1H-NMR, LC-MS and chemometrics pilot study on the origin of carvedilol drug substances: a tool for discovering falsified active pharmaceutical ingredients." Analytical Methods 14, no. 14 (2022): 1396–405. http://dx.doi.org/10.1039/d1ay02035h.

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The study explores the profile of carvedilol active ingredients by NIR, 1H-NMR and LC-MS Q-TOF and data were analysed by PCA, cluster analysis and PLSDA. Two different groups of manufacturers based on the geographical area are classified.
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Fu, Hai-Yan, Shuang-Yan Huan, Lu Xu, et al. "Moving Window Partial Least-Squares Discriminant Analysis for Identification of Different Kinds of Bezoar Samples by near Infrared Spectroscopy and Comparison of Different Pattern Recognition Methods." Journal of Near Infrared Spectroscopy 15, no. 5 (2007): 291–97. http://dx.doi.org/10.1255/jnirs.743.

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Moving window partial least-squares (MWPLS) regression was coupled with near infrared (NIR) spectra as an interval selection method to improve the performance of partial least squares discriminant analysis (PLSDA) models. This method was applied to the identification of artificial bezoar, natural bezoar and artificial bezoar in natural bezoar and compared with some traditional pattern recognition methods, such as principal component analysis (PCA), linear discriminant analysis (LDA) and PLSDA. The introduction of MWPLS enhanced the performance of PLSDA model. The results obtained showed that m
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Fu, Haiyan, Yao Fan, Xu Zhang, et al. "Rapid Discrimination for Traditional Complex Herbal Medicines from Different Parts, Collection Time, and Origins Using High-Performance Liquid Chromatography and Near-Infrared Spectral Fingerprints with Aid of Pattern Recognition Methods." Journal of Analytical Methods in Chemistry 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/727589.

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As an effective method, the fingerprint technique, which emphasized the whole compositions of samples, has already been used in various fields, especially in identifying and assessing the quality of herbal medicines. High-performance liquid chromatography (HPLC) and near-infrared (NIR), with their unique characteristics of reliability, versatility, precision, and simple measurement, played an important role among all the fingerprint techniques. In this paper, a supervised pattern recognition method based on PLSDA algorithm by HPLC and NIR has been established to identify the information ofHibi
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Mudasir Majeed, Mudasir Majeed, Abdullah Ijaz Hussain Abdullah Ijaz Hussain, Shahzad Ali Shahid Chatha Shahzad Ali Shahid Chatha, and Ghulam Mustafa Kamal and Qasim Ali Ghulam Mustafa Kamal and Qasim Ali. "Discrimination of Mungbean Cultivars/Varieties Based on Minor Saccharides Composition by HPLC Coupled with Multivariate Statistical Analysis." Journal of the chemical society of pakistan 42, no. 3 (2020): 418. http://dx.doi.org/10.52568/000643.

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Present study reports the potential use of HPLC coupled with principle component analysis (PCA) and partial least squares discriminant analysis (PLSDA), for differentiation of approved mungbean variety from the promising lines based on minor saccharides profiles. A total of 48 mungbean samples from one approved variety and seven promising lines were analyzed for minor saccharides using HPLC and multivariate statistical analysis. PCA showed a clear separation among the classes. PLSDA was conducted to extract the variables that were responsible for the separation of mungbean approved variety fro
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Mudasir Majeed, Mudasir Majeed, Abdullah Ijaz Hussain Abdullah Ijaz Hussain, Shahzad Ali Shahid Chatha Shahzad Ali Shahid Chatha, and Ghulam Mustafa Kamal and Qasim Ali Ghulam Mustafa Kamal and Qasim Ali. "Discrimination of Mungbean Cultivars/Varieties Based on Minor Saccharides Composition by HPLC Coupled with Multivariate Statistical Analysis." Journal of the chemical society of pakistan 42, no. 3 (2020): 418. http://dx.doi.org/10.52568/000643/jcsp/42.03.2020.

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Present study reports the potential use of HPLC coupled with principle component analysis (PCA) and partial least squares discriminant analysis (PLSDA), for differentiation of approved mungbean variety from the promising lines based on minor saccharides profiles. A total of 48 mungbean samples from one approved variety and seven promising lines were analyzed for minor saccharides using HPLC and multivariate statistical analysis. PCA showed a clear separation among the classes. PLSDA was conducted to extract the variables that were responsible for the separation of mungbean approved variety fro
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8

Fu, Haiyan, Qiong Shi, Liuna Wei, et al. "Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics." Journal of Spectroscopy 2019 (April 30, 2019): 1–9. http://dx.doi.org/10.1155/2019/2467185.

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Fourier transform near-infrared (NIR) spectroscopy and mid-infrared (MIR) spectroscopy play important roles in all fingerprint techniques because of their unique characteristics such as reliability, versatility, precision, and ease of measurement. In this paper, a supervised pattern recognition method based on the PLSDA algorithm by NIR and the NIR-MIR fusion spectra has been established to identify geoherbalism of Angelica dahurica from different regions and authenticity of Corydalis yanhusuo W. T. Wang. Comparing principle component analysis (PCA) cannot successfully identify geographical or
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9

Rui, Wen, Hong Yuan Chen, Yi Fan Feng, Zhong Feng Shi, and Miao Miao Jiang. "Comparision of Bupleurum scorzoneri folium Willd. Grouping from Different Habitats Based on Pattern Recognition with R Software." Advanced Materials Research 393-395 (November 2011): 1139–42. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.1139.

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Bupleurum scorzoneri folium Willd.(BSFW) is a traditional Chinese medicine which is widely distributed in China. To evaluate the quality of BSFW from different habitats, samples from 5 different areas in China were determined by UPLC/MS. The chemical data were dealed with hierarchical clustering, PCA, SPCA, PLSDA and SPLSDA using R software. The results show that these pattern recognition methods can fully reflect the chemical composition of different areas of BSFW, which make it possible to control the quality.
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10

Holandino, Carla, Michelle Nonato de Oliveira Melo, Adriana Passos Oliveira, et al. "Metabolomic analysis of Viscum album L homeopathic tinctures and antitumor studies in 3D spheroid models." International Journal of High Dilution Research - ISSN 1982-6206 18, no. 02 (2021): 18. http://dx.doi.org/10.51910/ijhdr.v18i02.996.

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Background The antitumoral efficacy of aqueous Viscum album extracts is attributed to the presence of lectins and viscotoxins. However, previous studies demonstrated an antitumoral activity of European V. album ethanolic homeopathic tinctures (VAHT) prepared according to homeopathic methodology. Aims To investigate the seasonal influences (summer and winter) in the metabolomic profile of V. album ssp. homeopathic mother tinctures (VAHT) and to evaluate the antitumoral activity of some VAHT in 3D tumor spheroid models. Methodology The following VAHT were prepared by ethanolic maceration: V. alb
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Dissertations / Theses on the topic "PLSDA/PCA"

1

Le, Thao Nhi. "Le frelon asiatique (Vespa velutina nigrithorax) : Stratégies d’études sur l’identification de nouvelles molécules actives pour la dermacosmétique." Thesis, Orléans, 2020. http://www.theses.fr/2020ORLE3143.

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La recherche de nouveaux composés pour prévenir ou atténuer le vieillissement de la peau est une priorité des recherches actuelles dans les cosmétiques. Dans ce contexte, le venin de frelon asiatique (Vespa velutina nigrithorax) a été étudié comme une source particulière de molécules potentiellement bioactives d’intérêt dermacosmétique. La première étude a tout d’abord porté sur la mise en œuvre d’un protocole fiable d’extraction et récupération du venin. Puis, la fraction peptidique et petites molécules a été sélectionnée afin d’évaluer, en comparaison avec le venin brut, la présence de moléc
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Vitale, Raffaele. "Novel chemometric proposals for advanced multivariate data analysis, processing and interpretation." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/90442.

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The present Ph.D. thesis, primarily conceived to support and reinforce the relation between academic and industrial worlds, was developed in collaboration with Shell Global Solutions (Amsterdam, The Netherlands) in the endeavour of applying and possibly extending well-established latent variable-based approaches (i.e. Principal Component Analysis - PCA - Partial Least Squares regression - PLS - or Partial Least Squares Discriminant Analysis - PLSDA) for complex problem solving not only in the fields of manufacturing troubleshooting and optimisation, but also in the wider environment of multiva
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HOOSHYARI, MARYAM. "Chemometrics Methods Applied to Non-Selective Signals in Order to Address Mainly Food, Industrial and Environmental Problems." Doctoral thesis, Università degli studi di Genova, 2020. http://hdl.handle.net/11567/999673.

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Chemometrics is a chemical discipline that uses mathematical and statistical methods in order to extract useful information from multivariate chemical data. Moreover, chemometrics is applied to correlate quality parameters or physical properties to analytical instrument data such as calculating pH from a measurement of hydrogen ion activity or a Fourier transform interpolation of a spectrum. Aim of this thesis project is to develop chemometrical strategies for the elaboration and the interpretation of non-selective complex data in order to solve real problems in food, industry and environmenta
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Journal articles
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