Table 1 The typical applications of tensor models in plant metabolomics investigations
From: Tensor methods in data analysis of chromatography/mass spectroscopy-based plant metabolomics
Category | Plants | Tensor models | Instruments | Analytical purpose | Reference |
|---|---|---|---|---|---|
Plant genetic mutant and phenotyping | Barley | PARAFAC2 | GC-MS | improve metabolites identification | [22] |
Tobacco | PARAFAC2 | GC-MS | enhance metabolites resolution | [38] | |
Barley | PARASIAS | GC-MS | plant phenotyping and metabolites characterization | [55] | |
Barley | PARAFAC2 | GC-MS | phenotype, genetic and environmental analysis | [57] | |
Maize | PARAFAC | 2D-LC-DAD | genetic mutant and metabolites analysis | [58] | |
Cassava | PARAFAC | LC-MS | identify genes for regulating metabolites | [59] | |
Poplars | PARAFAC2 | Py-GC-MS | plant phenotyping and classification | [60] | |
Erythrina speciosa Andrews leaves | PARAFAC | HPLC-DAD | plant phenotyping and metabolites characterization | [61] | |
Lupinus angustifolius | Non-negativity PARAFAC2 | UHPLC-HRMSE | metabolites characterization | [62] | |
Plant diseases and resistance | Eucalyptus globulus | PARAFAC | GC-GC-qMS | plant disease susceptibility | [63] |
Eucalyptus globulus | PARAFAC | LC-MS | plant disease diagnosis | [64] | |
Plant related products | PARALIND | HPLC-DAD | fungicides composition | [65] | |
Barbarea vulgaris | PARAFAC2 | LC-MS | plant resistance analysis | [66] | |
Melon and cotton | PARAFAC2 | GC-MS | plant resistance analysis | [67] | |
Barbararea vulgaris | PARAFAC2 | GC-MS | plant resistance analysis | [68] | |
Plant pharmacology and nutrition | Hypericum perforatum | PARAFAC | HPLC-DAD | herbal preparations composition analysis | [69] |
Glycyrrhiza glabra and Panax ginseng dried root etc. | PARAFAC | HPLC-MS | quality control of plant pharmacological components | [70] | |
Quinoa | PARAFAC2 | GC-MS and LC-MS | pharmacological components analysis | [71] | |
Cyperi rhizoma | PARAFAC | LC-MS | analysis on active ingredients in Chinese herbs | [72] | |
Teucrium polium | PARAFAC | GC-MS | composition characterization | [73] | |
Cereal crop | PARAFAC2 | GC-MS | nutrient value analysis | [74] | |
Tropical fruits | PARAFAC2 | GC-MS | nutrition and quality evaluation | [77] | |
Plant products characterization and evaluation | Apple wine | PARAFAC2 | GC-MS | enhance metabolites resolution | [42] |
Apple wine | SIT | GC-MS | accelerate the metabolites resolution | [56] | |
Olive oils | NPLS-DA | GC-MS | authentication analysis | [78] | |
Lambrusco grape wine | PARAFAC | HPLC-MS | based data fusion classification | [79] | |
Mixture | CMTF | LC-MS | enhance metabolites discovery | [50] | |
Corn oil | PARAFAC and PARAFAC2 | LC-LC-MS | enhance metabolites discovery | [80] | |
Grape wine | PARAFAC2 | HS-SPME-GC-MS | regionality and quality analysis | [81] | |
Olive oil | PARAFAC2 | GC-MS | quality classification | [82] | |
Cottonseed oils | PARAFAC2 | GC-MS | quality classification | [83] | |
Grape wine | PARAFAC2 | GC-MS | quality classification | [84] | |
Coffee | PARAFAC | HPLC-DAD | metabolites identification | [85] |