Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7689023 | TrAC Trends in Analytical Chemistry | 2016 | 10 Pages |
Abstract
The design of environmentally friendly analytical techniques and the modification of methods that are in use are important issues to be addressed in Green Analytical Chemistry. Potential applications of non-destructive spectroscopic techniques to achieve these principles are discussed in this review. Special emphasis is placed in environmental samples. Taking into account the current tendency to combine the analysis of environmental samples by non-destructive spectroscopic techniques and chemometrics, the most important applications concerning this task are also compiled. Although multiple objectives are pursued, regression techniques, frequently in combination with infrared spectroscopy, stand out, with around 300 references since 2009. More than half of these publications deal with the design of models to predict properties of soils. Nonetheless, the combination of regression techniques and non-destructive spectroscopy is continuously progressing, and they have been applied, for example, in the analysis of different environmental samples by remote or in-situ multispectral sensors with satisfactory results.
Keywords
ICP-AESATRMLRPARAFACGRNNARIMAMCR-ALSBRTMIRDRIFTLWRLS-SVMBP-ANNk-NNSEM-EDXED-XRFSMLAASPLSMCRPLS-DAGA-PLSANNNIRk-nearest neighbourPCASTATISCluster analysisinductively coupled plasma atomic emission spectrometryEnergy dispersive X-ray fluorescenceDiffuse reflectance infrared Fourier transformAttenuated total reflectancePartial least squares discriminant analysisLinear discriminant analysisParallel factor analysisFactor analysisPrincipal component analysisLDAleast squares support vector machinePartial least squaresBoosted regression treeMultivariate curve resolution alternating least squaresMultiple linear regressionprincipal component regressionLocally weighted regressionGeneralized regression neural networksartificial neural networksatomic absorption spectrometryinductively coupled plasma mass spectrometryICP-MSInfraredmiddle infraredNear infraredSupport vector machineSVMPCRMultivariate curve resolution
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Ainara Gredilla, Silvia Fdez-Ortiz de Vallejuelo, Nerea Elejoste, Alberto de Diego, Juan Manuel Madariaga,