Publications by authors named "Xiangxin Lin"

Article Synopsis
  • - The study extensively analyzed the lipid profile of the Large Yellow Croaker (LYC), highlighting its significant nutritional value, particularly in the ovary and brain, where 963 lipid species across 47 subclasses were identified.
  • - Glycerophospholipids and sphingolipids were the predominant lipid types in the brain, while high levels of glycolipids were found in the muscle, with unique lipid subclasses discovered in specific tissues.
  • - The research also established a method to differentiate LYC from various origins using 100 lipid biomarkers, revealing correlations between lipid variations and environmental factors like seawater pH and temperature.
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This study innovates plasmonic hydrogen sensors (PHSs) by applying phase space reconstruction (PSR) and convolutional neural networks (CNNs), overcoming previous predictive and sensing limitations. Utilizing a low-cost and efficient colloidal lithography technique, palladium nanocap arrays are created and their spectral signals are transformed into images using PSR and then trained using CNNs for predicting the hydrogen level. The model achieves accurate predictions with average accuracies of 0.

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A general strategy for generating various Janus particles (JPs) based on shadow sphere lithography (SSL) by varying incident and azimuthal angles, as well as deposition numbers is introduced, forming well-identified flower-like patches on microsphere monolayers. An in-house simulation program is worked out to predict the patch morphology with complicated fabrication parameters. The predicted patch morphology matches quite well that of experimentally produced JPs.

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