pls toolbox 6.2 (Eigenvector Research Inc)
90
Structured Review
Eigenvector Research Inc
pls toolbox 6.2
Pls Toolbox 6.2, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pls+toolbox+6%2E2/pls+toolbox/10__1016_slash_j__talo__2023__100195-76-10-14
Average 90 stars, based on 1 article reviews
Pls Toolbox 6.2, supplied by Eigenvector Research Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/pls+toolbox+6%2E2/pls+toolbox/10__1016_slash_j__talo__2023__100195-76-10-14
Average 90 stars, based on 1 article reviews
pls toolbox 6.2 - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Fast authentication of tea tree oil through spectroscopy. Article Snippet: Two new procedures, based on infrared spectroscopy in the near infrared (NIR) and mid infrared (MIR), have been developed for the authentication of tea tree oil (TTO) commercial samples.. Infrared measurements were made on untreated samples by transmission NIR and attenuated total reflectance (ATR) followed by partial least square discriminant analysis (PLS-DA).. These methods offer a fast and low cost alternative to enantiomeric twodimensional gas chromatography coupled to mass detection usually employed to discriminate between authentic and non-authentic samples. Article Title: Mineral profiles of legumes and fruits through partial least squares energy dispersive X-ray fluorescence Article Snippet: Accepted Manuscript Title: Mineral Profiles of Legumes and Fruits Through Partial Least Squares Energy Dispersive X-Ray Fluorescence Authors: L. Herreros-Chavez, F. Oueghlani, A. Morales-Rubio, M.L.. Cervera, M. de la Guardia PII: S0889-1575(18)31152-9 DOI: https://doi.org/10.1016/j.jfca.2019.103240 Article Number: 103240 Reference: YJFCA 103240 To appear in: Received date: 8 November 2018 Revised date: 17 June 2019 Accepted date: 17 June 2019 Please cite this article as: Herreros-Chavez L, Oueghlani F, Morales-Rubio A, Cervera ML, de la Guardia M, Mineral Profiles of Legumes and Fruits Through Partial Least Squares Energy Dispersive X-Ray Fluorescence, Journal of Food Composition and Analysis (2019), https://doi.org/10.1016/j.jfca.2019.103240 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript. Article Title: Partial least squares modelization of energy dispersive X-ray fluorescence. 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