Sieves for Highly Selective Li Adsorption

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Sieves for Highly Selective Li Adsorption ( sieves-highly-selective-li-adsorption )

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Processes 2018, 6, 59 Processes 2018, 6, x FOR PEER REVIEW 25 20 15 10 5 0 10 of 14 10 of 14 Exp. data Crank Model Adsorption Equilibrium Ion Sieve Raw Materials Method 􏲀 (%) Ref. 18 °C. Ion Table 3. Similar method of adsorption capacity comparison. Table 3. Similar method of adsorption capacity comparison. Sieve (h) 12 6 Morphology −1 Mn(NO3)2, LiOH, λ-Mλn-OMnO2 Mn(NO),LiOH,HO hyhdyrdortohtehremrmalal 0 500 1000 1500 2000 Time (min) Figure 9. Fitting result of adsorption data by Crank model using 50 mg·L−1 Li+ on 0.1 g HMO at Figure 9. Fitting result of adsorption data by Crank model using 50 mg·L−1 Li+ on 0.1 g HMO at 18 ◦C. Raw Materials Method Crystal Q (mg·g−1) Q􏲁􏲂 (%) Ref. Temp. t Crystal Q 􏲀 Temp. ( C) (°C) 110110 150 t (h) 10 10 NaNnoawnoirweire 23..7 61..9 [29[]29] ◦ Q Morphology (mg·g ) th 23222 H2O2 12 6 1 λ-MnO2 λ-MnO2 λ-MnO2 λ-Mλn-OMnO2 λ-Mλn-OMnO2 LiCLli2KCMO3n,OMneCthOa3nol shoylidr-opthaesremal 24 λ-MnO2 LiCl KMnO4 hydrothermal ethanol 3.3.3. Adsorption Kinetic Test MnSO4 , (NH4 )2 S2 O8 MnSO4, (NH4)2S2O8 LiNO3, Mn(NO3)2 hydrothermal hydrothermal solid-phase sosloidli-dp-hpahsaese 150 Nanowire 16.9 Nanowire 16.9 49.2 [23] 49.2 [23] LLiNi OCO3, M, Mn(nNCO3)2 2233 1 5 Sphere- -- 800160 5 12 He-xagonal 24-.7 [20[]19] 64.4 T[h1i9s] work 650 Sphere - [20] 650 700 700800 160 12 Hexagonal 24.7 64.4 This work Figure 10 shows the linear fitting of the pseudo-first-order kinetic model and the pseudo-seFcigounrde-o1r0desrhkowinsetitchemolidneal.r Tfiattbinleg4ocfomthpearpesseutdhoe-ffiirtstte-dordkeirnekticnedtiactamoofdtehleatnwdotmheodels 3.3.3. Adsorption Kinetic Test pseudo-second-order kinetic model. Table 4 compares the fitted kinetic data of the two models at at same temperatures. Under the same test conditions, the two models both predicted the adsorption same temperatures. Under the same test c2onditions, the two models both predicted the adsorption capacity and the correlation coefficient (R ) of the pseudo-second-order kinetics equation is much capacity and the correlation coefficient (􏱌􏰛) of the p2seudo-second-order kinetics equation is much largerthanthepseudo-first-orderkineticequation(R =0.7678).Thesedatarevealthattheadsorption larger than the pseudo-first-order kinetic equation (􏱌􏰛 = 0.7678). These data reveal that the behavior of the HMO ion sieve conforms to the pseudo-second-order kinetics model and the adsorption adsorption behavior of the HMO ion sieve conforms to the pseudo-second-order kinetics model and process is primarily chemical adsorption [31]. tPhroeceasdseso20rp18t,i6o,nx pFOroRcPeEsEsRisRpEVriImEWarily chemical adsorption [31]. 11 of 14 1.5 1.0 0.5 0.0 -0.5 -1.0 -1.5 -2.0 0 5 10 15 20 25 30 Time (h) 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 -0.5 Exp.data Exp.data Pseudo-first-order kinetic Pseudo-second-order kinetic Figure 10. Pseudo-first-order and pseudo-second-order kinetic curves Li+ adsorption by HMO at 18 °C. Figure 10. Pseudo-first-order and pseudo-second-order kinetic curves Li+ adsorption by HMO at 18 ◦C. Table 4. Dynamic parameters of lithium adsorption. Temperature Pseudo-First-Order Kinetic Model Pseudo-Second-Order Kinetic Model 􏲃􏲄 􏲀􏲅􏲄 􏲆􏲇 􏲃􏲇 􏲀􏲅􏲇 􏲆􏲇 18 °C 0.115 8.41 0.7678 0.0687 25.3 0.9998 3.3.4. Adsorption Isotherm of Li+ on HMO lg(Qe-Qt) (mg-1⋅g) Qt (mg.g-1) t/Qt (h⋅mg-1⋅g)

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