The site-unspecific method could successfully identify most of the peptides from tryptic hydrolysates revealed by site-specific identification.

Aims:  To develop a high‐throughput assay for screening xylose‐utilizing and ethanol‐tolerant thermophilic bacteria owing to their abilities to be the promising ethanologens. Methods and Results:  Based on alcohol oxidase and peroxidase‐coupled enzymatic reaction, an assay was developed by the formation of the coloured quinonimine to monitor the oxidation of ethanol in the reaction and calculate the concentration of ethanol. This assay was performed in 96‐well microtitre plate in a high‐throughput and had a well‐linear detection range of ethanol from 0 up to 2·5 g l−1 with high accuracy. The assay was then verified by screening soil samples from hot spring for xylose‐utilizing and ethanol production at 60°C. Three isolates LM14‐1, LM14‐5 and LM18‐4 with 3–5% (v/v) ethanol tolerance and around 0·29–0·38 g g−1 ethanol yield from xylose were obtained. Phylogenetic and phenotypic analysis showed that the isolates clustered with members of the genus Bacillus or Geobacillus subgroup. Conclusions:  The developed double enzyme‐coupled, high‐throughput screening system is effective to screen and isolate xylose‐utilizing, ethanol‐producing thermophilic bacteria for bioethanol production at the elevated temperature. Significance and Impact of the Study:  Our research presented a novel high‐throughput method to screen thermophilic bacteria for producing ethanol from xylose. This screening method is also very useful to screen all kinds of ethanologens either from natural habitats or from mutant libraries, to improve bioethanol production from lignocellulosic feedstocks.

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Research on novel bioactive lipids has garnered increasing interest. Although lipids can be identified by searching mass spectral libraries, the discovery of novel lipids remains challenging as the query spectra of such lipids are not included in libraries. In this study, we propose a strategy to discover novel carboxylic acid-containing acyl lipids by integrating molecular networking with an extended in silico spectral library. Derivatization was performed to improve the response of this method. The tandem mass spectrometry spectra enriched by derivatization facilitated the formation of molecular networking and 244 nodes were annotated. We constructed consensus spectra for these annotations based on molecular networking and developed an extended in silico spectral library based on these consensus spectra. The spectral library included 6879 in silico molecules covering 12,179 spectra. Using this integration strategy, 653 acyl lipids were discovered. Among these, O-acyl lactic acids and N-lactoyl amino acid-conjugated lipids were annotated as novel acyl lipids. Compared with conventional methods, our proposed method allows for the discovery of novel acyl lipids, and extended in silico libraries significantly increase the size of the spectral library.