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Eigenvector Research Inc pls-toolboxtm software
Pls Toolboxtm Software, 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-toolboxtm+software/pls+toolbox+software/pmc09180251-82-65-69
Average 90 stars, based on 1 article reviews
pls-toolboxtm software - by Bioz Stars, 2026-09
90/100 stars

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Article Title: Metabolomic profiling of acerola clones according to the ripening stage
Article Snippet: Acerola fruits possess important biological properties due to the presence of several bioactive compounds.. Therefore, this study aimed to determine the metabolomic profiling of acerola fruits in different ripening stages using 1H qNMR spectroscopy, and correlate it with ascorbic acid (vitamin C) and phenolic contents along with antioxidant activity.. The usage of multivariate regression modeling permitted satisfactorily predict the concentrations of ascorbic acid for each ripening stage through whole 1H NMR spectrum (δ 0.6 to 9.3).

Article Title: NMR-Based Metabolomic Approach for Evaluation of the Harvesting Time and Cooking Characteristics of Different Cassava Genotypes
Article Snippet: In order to evaluate the metabolic pathways associated with different harvesting times (nine and 15 months) and the cooking characteristics (hard and easy to cook) of the aforementioned cassava species, pair-wise comparison was performed for both characteristics by classification model using orthogonal partial least squares discriminant analysis (OPLS-DA using Simplified PLS (SIMPLS) algorithm, venetian blinds w/10 splits and blind thickness = 1), also with the PLS-ToolboxTM software (version 8.6.1., Eigenvector Research Inc., Wenatchee, WA, USA).

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Article Title: Metabolomic profiling of acerola clones according to the ripening stage
Article Snippet: Acerola fruits possess important biological properties due to the presence of several bioactive compounds.. Therefore, this study aimed to determine the metabolomic profiling of acerola fruits in different ripening stages using 1H qNMR spectroscopy, and correlate it with ascorbic acid (vitamin C) and phenolic contents along with antioxidant activity.. The usage of multivariate regression modeling permitted satisfactorily predict the concentrations of ascorbic acid for each ripening stage through whole 1H NMR spectrum (δ 0.6 to 9.3).

Article Title: NMR-Based Metabolomic Approach for Evaluation of the Harvesting Time and Cooking Characteristics of Different Cassava Genotypes
Article Snippet: In order to evaluate the metabolic pathways associated with different harvesting times (nine and 15 months) and the cooking characteristics (hard and easy to cook) of the aforementioned cassava species, pair-wise comparison was performed for both characteristics by classification model using orthogonal partial least squares discriminant analysis (OPLS-DA using Simplified PLS (SIMPLS) algorithm, venetian blinds w/10 splits and blind thickness = 1), also with the PLS-ToolboxTM software (version 8.6.1., Eigenvector Research Inc., Wenatchee, WA, USA).

Nuclear Magnetic Resonance:

Article Title: Metabolomic profiling of acerola clones according to the ripening stage
Article Snippet: Acerola fruits possess important biological properties due to the presence of several bioactive compounds.. Therefore, this study aimed to determine the metabolomic profiling of acerola fruits in different ripening stages using 1H qNMR spectroscopy, and correlate it with ascorbic acid (vitamin C) and phenolic contents along with antioxidant activity.. The usage of multivariate regression modeling permitted satisfactorily predict the concentrations of ascorbic acid for each ripening stage through whole 1H NMR spectrum (δ 0.6 to 9.3).

Article Title: NMR-Based Metabolomic Approach for Evaluation of the Harvesting Time and Cooking Characteristics of Different Cassava Genotypes
Article Snippet: In order to evaluate the metabolic pathways associated with different harvesting times (nine and 15 months) and the cooking characteristics (hard and easy to cook) of the aforementioned cassava species, pair-wise comparison was performed for both characteristics by classification model using orthogonal partial least squares discriminant analysis (OPLS-DA using Simplified PLS (SIMPLS) algorithm, venetian blinds w/10 splits and blind thickness = 1), also with the PLS-ToolboxTM software (version 8.6.1., Eigenvector Research Inc., Wenatchee, WA, USA).



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