Multivariate Analysis of ToF-SIMS Data from Multicomponent Systems: The Why, When, and How

Graham, Daniel J.; Castner, David G.

doi:10.1007/s13758-012-0049-3

Biointerphases

Journal for Biophysical Chemistry

Table 1 Summary table of selected studies using mva for processing of ToF-SIMS data

From: Multivariate Analysis of ToF-SIMS Data from Multicomponent Systems: The Why, When, and How

Samples/system	MVA technique	References
Multilayer surface grafting of furanones	PCA	[74]
Tissue analysis	PCA	[27, 28, 43]
Characterization of adsorbed proteins	PCA	[8, 9, 57–64, 75–77]
Analysis of SAMs on gold	PCA	[78–81]
Analysis of hydrogen and methane plasma modified graphite	PCA	[82]
Surface chemistry in mineral flotation separation	PCA	[83]
Analysis of lipids	PCA	[16–19]
Analysis of polymers	PCA	[84–91]
Quantification with polymers	PCA	[92–97]
Analysis of atmospheric aerosol particles	PCA	[98, 99]
PCA—data pretreatment, methodology	PCA	[32, 44, 45, 100]
Depth profiling	PCA	[101, 102]
Analysis of ball point pen ink	PCA	[103]
Analysis of sugars	PCA	[50, 104]
Image analysis of patterned surfaces	PCA	[67]
Discrimination between different calcium phosphate phases	PCA	[105]
Analysis of decellularized extra cellular matrix	PCA	[47, 48]
Analysis of the affects of storage on a new tooth cement	PCA	[106]
Determining the optimal plasma polymerization conditions for maleic anhydride	PCA	[107]
Discrimination between bacterial samples	PCA	[25]
Transfer of organics onto glass	PCA	[108]
Characterization of extracellular matrix secreted from cells	PCA	[13–15, 109]
Analysis of non-mass selected ToF-SIMS data	MCR	[110]
Forensic analysis of bioagents	MCR	[111]
MCR for image analysis	MCR	[112]
Depth profile analysis	MCR	[113]
Analysis of white radish sprouts	MCR	[114]
3D image analysis	MCR	[115]
Study of the mechanism of n-pentanol polymerization on SiO₂ during rubbing	MCR	[116]
Analysis of mixed composition surfaces	MCR	[117]
Predicting wettability on patterned ITO surfaces	PLS	[118]
Predicting the surface composition of oxygen containing plasma polymers	PLS	[119]
Correlation of polymer surface chemistry with protein adsorption and/or cell growth	PLS	[44, 52, 120, 121]
Quantification of the composition of plasma polymerized thin films	PLS	[122]
Quantification of cross-linker density in polymer films	PLS	[123]
Quantification of protein adsorption on polymer surface	PLS	[56]
Identification and imaging of 15 N labeled cells	MAF	[124]
Analysis of proteins on samples with topography	MAF	[125]
Protein adsorption on dental materials	DPCA	[126]
Interpretation of SIMS depth profiles	FA	[127]
Imaging proteins on dialysis membranes	Information theory	[128]
Analysis of cells	K-means	[129]
Classification of adsorbed proteins	NN	[53]
Using mixture models for image analysis	Mixture models	[130]
Quantification of polymer blend composition	PCA, PLS	[131]
Analysis of monolayers on scribed silicon	PCA, PLS	[132]
Analysis of polymer microarrays	PCA, PLS	[49]
Characterization of PLL–PEG monolayers	PCA, PLS	[133]
Discrimination between different paint surfaces	PCA, PLS	[134]
Determining distribution of polymers in blended polymer film	PCA, MCR	[135]
Analysis strategies for ToF-SIMS images with topography	PCA, MCR	[38]
Analysis strategies for mixed organic surfaces	PCA, MCR	[39]
Classification of bacterial strains	PC-DFA	[73, 136]
Classification of cells	PC-DFA	[20]
Identification of adsorbed proteins	PCA, LDA	[54, 55, 137, 138]
Correlation of images from different techniques using MVA	PCA, CCA	[139]
Impact of surface chemistry on chalcopyrite floatation	PCA, DA	[140]
Identification of cells in co-cultures	PCA, PLS-DA	[21]
Mapping lipids in mice	PCA, HC	[26]
Discrimination between different polymers	PCA, NN	[141]
Image denoising, segmentation and compound identification	PCA, Latent profile Analysis	[142]
Analysis strategies for ToF-SIMS images	PCA, MAF	[37, 143]
Analysis of ToF-SIMS images with topography	PCA, Mixture model	[144]
Comparing MAF with standard statistical tools for image analysis	MAF, Statistics	[145]
Analysis of bacterial isolates	PC-CVA, GA-CVA	[23]
Analysis of exhaled particles	PCA, OPLS-DA	[146]
ToF-SIMS image analysis strategies, Data Storage	PCA, PARAFAC	[147]
Exploratory analysis of biological surfaces	PCA, PC-DFA, MAF	[24]
Identification of adsorbed proteins	PCA, LDA, DPCA	[148]
Imaging of organic and biological systems	PCA, MAF, MCR	[149]
Characterization of carbohydrate microarrays	PCA, MCR, PLS	[51]
Strategies for analysis of biomolecules	PCA, PCR, MAF	[150]
Discrimination between bacterial samples	PCA, PLS, LDA	[151]
Discrimination between solid-phase extraction stationary phases	PCA, PLS, NN	[152, 153]
Analysis of Cu–Fe Sulfides	PCA, SIMCA, K-NN	[154]
Quantification of multicomponent protein mixtures	PLS, SIMCA	[10–12, 155]
Correlation of images from different techniques using MVA	PLS, MAF	[156]
Characterization of polymer blend	PCA, MAF, MCR, PLS, PCR	[157]
Classification of biological samples	PCA, LDA, PLSDA, SIMCA	[158]

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