Electric Literature of 98-10-2, As an important bridge between the micro and macro material world, chemistry is one of the main methods and means for humans to understand and transform the material world. 98-10-2, Name is Benzenesulfonamide, SMILES is O=S(C1=CC=CC=C1)(N)=O, belongs to amides-buliding-blocks compound. In a article, author is La Penna, Giovanni, introduce new discover of the category.
Plant metabolites represent complex chemical system, which renders it difficult to clarify the chemical composition by conventional liquid chromatography/mass spectrometry (LC/MS) due to the limited selectivity and peak capacity. The rhizomes of Atractylodes macrocephala have been utilized as a traditional Chinese medicine Atractylodis Macrocephalae Rhizoma (Bai-Zhu), and have been reported containing multiple categories of plant metabolites. Targeting the multicomponents from A. macrocephala, an integral approach by offline two-dimensional liquid chromatography/ion mobility quadrupole time-of-flight mass spectrometry (2D-LC/IM-QTOF-MS) was established and validated. By configuring an XBridge Amide column of Hydrophilic Interaction Chromatography and an Atlantis Premier BEH Cl 8AX column of mixed ion exchange and reversed-phase modes, the established 2D-LC/IM-QTOF-MS system showed high orthogonality up to 0.91. Dimension-enhanced, data-independent high-definition MSE (HDMSE) in the positive ESI mode was conducted on a Vion IM-QTOF mass spectrometer, and its hyphenation to offline 2D-LC could enable the four-dimensional separation (each dimension in 2D-LC, IM, and MS). Particularly, HDMSE facilitated the acquisition of high-definition MS1 and MS2 spectra. In-house library-driven computational peak annotation by the bioinformatics platform UNIFI could efficiently process and annotate the HDMS E data for the structural elucidation. By integrating reference compounds comparison, we could identify or tentatively characterize 251 components from A. macrocephala (including 115 sesquiterpenoids, 90 polyacetylenes, 11 flavonoids, 9 benzoquinones, 12 coumarins, and 14 others), which indicated large improvement in identifying those minor plant components, compared with the conventional LC/MS approach. Conclusively, offline 2D-LC/IM-QTOF-HDMSE in combination with computational data interpretation proves to be powerful facilitating the in-depth multicomponent characterization of herbal medicine. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of King Saud University.
Electric Literature of 98-10-2, Because enzymes can increase reaction rates by enormous factors and tend to be very specific, typically producing only a single product in quantitative yield, they are the focus of active research.you can also check out more blogs about 98-10-2.
Reference:
Amide – Wikipedia,
,Amide – an overview | ScienceDirect Topics