Highly sensitive and rapid thiocyanate enrichment and detection.Table 7. Comparison on the present approach with other strategies for the analysis of thiocyanate. Detection System acetonitrile/(NH4 )2 SO4 ATPS-IC IC (UV) Ion Pair Chromatography Higher Functionality Liquid Chromatography (UV) Colorimetric sensor Gold nanoparticles colorimetry Surface Enhanced Raman Spectroscopy Methyl Isobutyl Ketone Extraction-Atomic Fluorescence Spectrometry Spectrophotometry Electrode electrochemical approach Sample Raw milk Emulsion Ionic liquid Emulsion Fossil and drill waters Saliva/environmental water Emulsion Seawater Blood Saliva LOD 0.20 /L 0.08 mg/L 0.96 mg/L 0.06 mg/L 0.60 mg/L 11.60 /L 0.04 mg/L 1.33 /L 1.80 mg/L 0.58 /L RSD 1.6 0.40 1.40 1.20 four.50 3.2 ten two.10 7 2.20 Literature This study [32] [33] [34] [34] [35] [36] [8] [37] [38]4. Conclusions In this study, a highly sensitive and speedy determination of thiocyanate was accomplished by using ATPE of acetonitrile/(NH4 )two SO4 for the separation and enrichment of thiocyanate, combined with ion chromatography. Optimization of the extraction circumstances of the acetonitrile/(NH4 )2 SO4 program by RSM resulted inside a recovery of 107.24 0.50 and an enrichment several of 10.74 0.03 for thiocyanate. The extraction mechanism was initially explored by FTIR. The Guretolimod Description constructed acetonitrile/(NH4 )two SO4 ATPS-IC strategy showed the linear range of the system was from 0.05 mg/L to 15 mg/L, and R2 = 0.998, the LOD was 0.two /L, the LQD was 0.6 /L, the intraday precision was 1.six , the interday precision was 4.3 , as well as the recovery prices of typical addition were among 81 and 119 .Author Contributions: Data curation, S.Z., H.Y., and P.C.; formal evaluation, S.Z., P.C. and B.L.; funding acquisition, B.J., Z.F. and B.T.; investigation, S.Z. and H.Y.; methodology, B.J., D.L., C.L., Z.F. and B.T.; project administration, B.J., Z.F. and B.T.; writing–original draft, B.J., S.Z. and H.Y.; writing–review and editing, B.J., Z.F. and B.T. All authors have read and agreed for the published version of your manuscript. Funding: This research was funded National Important Research and Improvement System of China (2018YFC1604204). Conflicts of Interest: The authors declare that they’ve no recognized competing economic interest or individual Tasisulam Autophagy relationships that could have appeared to influence the function reported in this paper.
applied sciencesArticleResearch on HC-LSSVM Model for Soft Soil Settlement Prediction Based on Homotopy Continuation MethodGuangjun Cui 1,two,3 , Shenghua Xiong 1,two,three , Cuiying Zhou 1,two,three, and Zhen Liu 1,2,three, 2School of Civil Engineering, Sun Yat-sen University, Zhuhai 519082, China; [email protected] (G.C.); [email protected] (S.X.) Guangdong Engineering Research Centre for Important Infrastructures Security, Guangzhou 510275, China Analysis Center for Geotechnical Engineering and Information and facts Technologies, Sun Yat-sen University, Guangzhou 510275, China Correspondence: [email protected] (C.Z.); [email protected] (Z.L.)Citation: Cui, G.; Xiong, S.; Zhou, C.; Liu, Z. Analysis on HC-LSSVM Model for Soft Soil Settlement Prediction Determined by Homotopy Continuation Method. Appl. Sci. 2021, 11, 10666. https://doi.org/10.3390/ app112210666 Academic Editor: Theodore E. Matikas Received: 24 September 2021 Accepted: two November 2021 Published: 12 NovemberAbstract: Prediction of soft soil settlement is definitely an crucial research subject in the field of civil engineering, as well as the least square help vector machine is among the.
