Cluster analysis of commercial samples of Bauhinia spp. using HPLC‐UV/PDA and MCR‐ALS/PCA without peak alignment procedure

Abstract

The combination of MCR-ALS and PCA is very useful when applied to a group of samples where a general alignment procedure could not be applied due to the different chromatographic profiles. This work also demonstrates the need of more strict control from the health authorities regarding herbal products available on the market.

Seasonal Flavonoid Profile and Kaempferitrin Content in the Leaf Extracts of <i>Bauhinia forficata</i> Subspecies <i>forficata</i> from Two Locations in Southeastern Brazil

“…In such a context, dosing of kaempferitrin content remains relevant, regarding the background of this compound as hypoglycemic agent [14] [15] [26] [27]. Overall, the results have shown a wide variation on kaempferitrin content and polyphenolic profiles among commercial samples and those from different locations and seasons, including the two B. forficata subspecies: forficata and pruinosa [18] [25] [26] [27] [28] [29].…”

“…Previous studies involving the seasonal and/or location influence in the kaempferitrin content and the flavonoid profile and content of B. forficata leaves have been done with a single exemplar from each location or specific season [14] [15] [18] [26] [29]. In order to contributing to expand the data of the chemical…”

Qualitative and quantitative determination of Atractylodes rhizome using ultra‐performance liquid chromatography coupled with linear ion trap–Orbitrap mass spectrometry with data‐dependent processing

“…From the acquired data, which include the exact molecular weight and fragment ions, both known and unknown compounds can be preliminarily identified by this processing method. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS‐DA) are powerful tools for multiple factor statistical processing, and have been widely used in the screening of characteristic compounds in herbs and for classification (Ardila, Funari, Andrade, Cavalheiro, & Carneiro, ; Kamal et al, ; Ovenden, Pigott, Rochfort, & Bourne, ; Wang et al, ; Wang et al, ). Data processing allows for polytomized variables to be precisely screened out for dimensionality reduction analysis.…”

Thin‐layer chromatography–surface‐enhanced Raman spectroscopy and chemometric tools applied to Pilsner beer fingerprint analysis

“…This kind of tool permits to extract useful information related to the spectra of compounds presented in the mixture and how its relative intensity varies for each sample. In a dataset where the chromatography is coupled to spectroscopic methods, like TLC‐SERS, the spectral profile recovers the SERS spectra of the components in the mixture and the concentration profile recovers the chromatographic profile for each component . MCR‐ALS is a method widely studied and used in several applications such as reaction monitoring, organic compounds quantification and fingerprint elaboration.…”

“…In a dataset where the chromatography is coupled to spectroscopic methods, like TLC-SERS, the spectral profile recovers the SERS spectra of the components in the mixture and the concentration profile recovers the chromatographic profile for each component. [35] MCR-ALS is a method widely studied and used in several applications such as reaction monitoring, organic compounds quantification and fingerprint elaboration. Additional information about this method can be found in the literature.…”