LEADER 06720nam 2201177z- 450 001 9910557507103321 005 20231214132848.0 035 $a(CKB)5400000000044485 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68955 035 $a(EXLCZ)995400000000044485 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Chemical Analysis Procedures (Part II)$eStatistical and Chemometric Approaches 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (224 p.) 311 $a3-03936-786-2 311 $a3-03936-787-0 330 $aIn the field of Analytical Chemistry and, in particular, whenever a quali-quantitative analysis is required, until a few years ago, reference was made exclusively to instrumental methods (more or less hyphenated) which, once validated, were able to provide the answers to the questions present, even if only in a limited way to analytical targets. Nowadays, the landscape has become considerably complicated (natural adulterants, assessment of geographical origin, sophistication, need for non-destructive analysis, search for often unknown compounds), and new procedures for processing data have greatly increased the potential of analyses that are conducted (even routinely) in the laboratory. In this scenario, chemometrics is master, able to manage and process a huge amount of information based both on data relating only to the analytes of interest, but also by applying ?general? procedures to process raw untargeted analysis data. It is within this strand of analysis that many of the works reported in this Special Issue fall. In the succession of works in this printed version, the criterion that guided us was to highlight how?starting exclusively from chromatographic techniques (HPLC and GC) with conventional detectors and moving to exclusively spectroscopic techniques (MS, FT-IR and Raman)?it is possible arrive at extremely powerful coupled techniques and procedures (HPLC and FT-IR) able to meet research needs. Finally, at the end of the printed volume, there are two reviews that surveying the state of the art regarding the assessment of authenticity through qualitative analyses and the application of chemometrics in the pharmaceutical field in the study of forced drug degradation products. From the succession of works (and, above all, from the various application fields) it can immediately be seen how the application of chemometrics and its procedures to both raw and processed data is a powerful means of obtaining robust, reproducible, and predictive information. In this manner, it is possible to create models able to explain and respond to the original problem in a much more detailed way. , and Honghe through Fourier transform mid infrared (FT-MIR) spectra combined with partial least squares discriminant analysis (PLS-DA), random forest (RF), and hierarchical cluster analysis (HCA) methods. Melucci and collaborators apply chemometric approaches to non-destructive analysis of ATR-FT-IR for the determination of biosilica content. This value was directly evaluated in sediment samples, without any chemical alteration, using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy, and the quantification was performed by combining the multivariate standard addition method (MSAM) with the net analyte signal (NAS) procedure to solve the strong matrix effect of sediment samples. Still in the food and food supplements field, Anguebes-Franseschi and collaborators report an article where 10 chemometric models based on Raman spectroscopy were applied to predict the physicochemical properties of honey produced in the state of Campeche, Mexico. 517 $aAdvances in Chemical Analysis Procedures 606 $aMedicine$2bicssc 610 $aParis polyphylla Smith var. yunnanensis 610 $amultivariate analysis 610 $achemometrics 610 $aFourier transform infrared 610 $aamino acids 610 $areversed-phase liquid chromatography 610 $agradient elution 610 $aretention prediction 610 $aartificial neural network 610 $aMacrohyporia cocos 610 $adata fusion 610 $aliquid chromatography 610 $afourier transform infrared spectroscopy 610 $apartial least squares discriminant analysis 610 $aauthentication 610 $aGastrodia elata tuber 610 $aquality evaluation 610 $aHPLC 610 $aQAMS 610 $aRanae Oviductus 610 $aidentification 610 $aprotein 610 $aRP-HPLC 610 $afingerprint 610 $afish and seafood 610 $afood authentication 610 $afingerprinting 610 $awild and farmed 610 $ageographical origin 610 $avibrational spectroscopy 610 $aabsorption/fluorescence spectroscopy 610 $anuclear magnetic resonance 610 $ahyperspectral imaging 610 $asaffron 610 $aadulteration 610 $afood authenticity 610 $agas-chromatography 610 $aeupatorin 610 $aUHPLC-Q-TOF-MS/MS 610 $ametabolism 610 $ain vivo and in vitro 610 $arat liver microsomes 610 $arat intestinal flora 610 $auntargeted metabolomics 610 $aPARAFAC2 610 $aalignment 610 $agas chromatography?mass spectrometry (GC?MS) 610 $aprostate carcinoma 610 $aforced degradation 610 $adegradation products 610 $astress test 610 $adiatoms 610 $abiogenic silica 610 $aATR-FTIR 610 $aNAS 610 $aquality control 610 $aRaman spectroscopy 610 $ahoney 610 $aPLS regression models 610 $aphysicochemical parameters 615 7$aMedicine 700 $aLocatelli$b Marcello$4edt$0619723 702 $aSamanidou$b Victoria$4edt 702 $aTartaglia$b Angela$4edt 702 $aMelucci$b Dora$4edt 702 $aKabir$b Abuzar$4edt 702 $aUlusoy$b Halil Ibrahim$4edt 702 $aLocatelli$b Marcello$4oth 702 $aSamanidou$b Victoria$4oth 702 $aTartaglia$b Angela$4oth 702 $aMelucci$b Dora$4oth 702 $aKabir$b Abuzar$4oth 702 $aUlusoy$b Halil Ibrahim$4oth 906 $aBOOK 912 $a9910557507103321 996 $aAdvances in Chemical Analysis Procedures (Part II)$93039082 997 $aUNINA