title: Advances of vibrational spectroscopic methods in phytomics and bioanalysis.
abstract: During the last couple of years great advances in vibrational spectroscopy including near-infrared (NIR), mid-infrared (MIR), attenuated total reflection (ATR) and imaging and also mapping techniques could be achieved. On the other hand spectral treatment features have improved dramatically allowing filtering out relevant information from spectral data much more efficiently and providing new insights into the biochemical composition. These advances offer new possible quality control strategies in phytomics and enable to get deeper insights into biochemical background in terms of medicinal relevant questions. It is the aim of the present article pointing out the technical and methodological advancements in the NIR and MIR field and to demonstrate the individual methods efficiency by discussing distinct selected applications.
authors.affiliation: Institute of Analytical Chemistry and Radiochemistry, CCB - Center for Chemistry and Biomedicine, Leopold-Franzens University, Innrain 80/82, 6020 Innsbruck, Austria. Electronic address: Christian.W.Huck@uibk.ac.at.
authors.forename: Christian W
authors.initials: CW
authors.lastname: Huck
mesh_terms: D006801:Humans; D020902:Hypericum / Q000737:chemistry; D009369:Neoplasms / Q000473:pathology; D010936:Plant Extracts / Q000032:analysis; D011786:Quality Control; D013055:Spectrophotometry, Infrared / Q000379:methods*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D014732:Vibration
chemical_list: D010936:Plant Extracts
keywords: ATR; Attenuated total reflection; Bioanalysis; CA; CE; CEC; DR; EPO; FPA; FT; Focal Plane Array; Fourier transform; HDL; Imaging; LC; LDL; MCT; MEIRS; MIA; MLR; MVA; Mercury Cadmium Telluride; NIR; Near infrared spectroscopy; OSC; PCA; PLSR; Phytomics; TCM; Traditional Chinese Medicine; Vis; attenuated total reflection; capillary electrochromatography; capillary electrophoresis; cluster analysis; diffuse reflection; external parameter orthogonalization; high-density lipoprotein; liquid chromatography; low-density lipoprotein; material enhanced infrared spectroscopy; multiple linear regression; multivariate analysis; multivariate image analysis; near infrared spectroscopy; orthogonal scatter correction; partial least square regression; principal component analysis; visible