Integrated environmental monitoring and multivariate data analysis-A case study

2016 ◽  
Vol 13 (2) ◽  
pp. 387-395 ◽  
Author(s):  
Ingvar Eide ◽  
Frank Westad ◽  
Ingunn Nilssen ◽  
Felipe Sales de Freitas ◽  
Natalia Gomes dos Santos ◽  
...  
Keyword(s):  
Data Analysis ◽  
Environmental Monitoring ◽  
Multivariate Data Analysis ◽  
Multivariate Data

Multivariate data analysis of key pollutants in sewage samples: a case study

1999 ◽  
Vol 393 (1-3) ◽  
pp. 181-191 ◽  
Author(s):  
Mari Pantsar-Kallio ◽  
Satu-Pia Mujunen ◽  
George Hatzimihalis ◽  
Paul Koutoufides ◽  
Pentti Minkkinen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Multivariate Data

Determination by ICP-MS and multivariate data analysis of elemental urine excretion profile during the EDTA chelation therapy: A case study

2020 ◽  
Vol 62 ◽  
pp. 126608
Author(s):  
Elisa Robotti ◽  
Fabio Quasso ◽  
Marcello Manfredi ◽  
Fabio Gosetti ◽  
Eleonora Mazzucco ◽  
...  
Keyword(s):  
Data Analysis ◽  
Multivariate Data Analysis ◽  
Chelation Therapy ◽  
Multivariate Data ◽  
Urine Excretion ◽  
Icp Ms

scholarly journals A Sensor-Based Methodology to Differentiate Pure and Mixed White Tequilas Based on Fused Infrared Spectra and Multivariate Data Treatment

Chemosensors ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 47
Author(s):  
Christian Hazael Pérez-Beltrán ◽  
Víctor M. Zúñiga-Arroyo ◽  
José M. Andrade ◽  
Luis Cuadros-Rodríguez ◽  
Guadalupe Pérez-Caballero ◽  
...  
Keyword(s):  
Data Analysis ◽  
Ir Spectra ◽  
Multivariate Data Analysis ◽  
Exploratory Data Analysis ◽  
Multivariate Data ◽  
Simple Application ◽  
Infrared Measurements ◽  
Exploratory Data ◽  
Pls Discriminant Analysis

Mexican Tequila is one of the most demanded import spirits in Europe. Its fast-raising worldwide request makes counterfeiting a profitable activity affecting both consumers and legal distillers. In this paper, a sensor-based methodology based on a combination of infrared measurements (IR) and multivariate data analysis (MVA) is presented. The case study is about differentiating two categories of white Tequila: pure Tequila (or ‘100% agave’) and mixed Tequila (or simply, Tequila). The IR spectra were treated and fused with a low-level approach. Exploratory data analysis was performed using PCA and partial least squares (PLS), whilst the authentication analyses were carried out with PLS-discriminant analysis (DA) and soft independent modeling for class analogy (SIMCA) models. Results demonstrated that data fusion of IR spectra enhanced the outcomes of the authentication models capable of differentiating pure from mixed Tequilas. In fact, PLS-DA presented the best results which correctly classified all fifteen commercial validation samples. The methodology thus presented is fast, cheap, and of simple application in the Tequila industry.

Metabolic Profiling of Maca (Lepidium meyenii) Cultivars using NMR and Multivariate Data Analysis

Planta Medica ◽  
2010 ◽  
Vol 76 (05) ◽  
Author(s):  
J Zhao ◽  
B Avula ◽  
C Clément ◽  
M Kreuzera ◽  
IA Khan
Keyword(s):  
Data Analysis ◽  
Metabolic Profiling ◽  
Multivariate Data Analysis ◽  
Multivariate Data ◽  
Lepidium Meyenii
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