響應(yīng)面優(yōu)化實驗方案設(shè)計個人收集整理勿做商業(yè)用途個人收集整理勿做商業(yè)用途#□qaa說一|圈□qaa說一|圈Results■rRsreg：TheSAS-System60.0080.00480.000.054403@0.0080.00480.00□.10053660.00100.004S0.000.0704460.00100.00480.000.094782,60.00go.oo420.00□.□8264600.00go.oo420.000.09553^96Q.0Q90.Q0540.Q00.06^780.0090.00540.000.10065370.00B0.00420.00O.OB55737Q.0Q10Q.0Q420.Q00.O7S0Q570.0080.00540.000.09852170.00100.00540.000.08606970.0090.004S0.000.10S5670.0090.00480.000.10151670.0090.00480.000.10105470.00go.oo4B0.00□.10241370.0090.00480.000.105489procsort;byxlw2 r-dataex；inputk1x2x3Cards；-i)rocrsrecj;inude1y=xlxZx3/lackfit;run;5.2查看。utput,可得到一下結(jié)果:

□犬①尋TheSystem 09：5?柵口巾1畛『DecemberSr2011 1TheRSFt^GProcedureGodinsCoefficientsfortheIndependent火ri&ble導(dǎo)FactorSubtrflctedoffDividedbyxl戒褊70.000&CQ?D.E)oom48Q.000?001L00*Di0<it.oonoo60.000001ResponseSurfaceforVariableyResponseMe*nRootMSER-SquareCoefficieniofVariation0.0983220.005082恥皿5J217ReeressionOFTypeISumof3辿心R-Square FYuluePr>FLinearQuadraticTot"Model38g$0.4025300,001715n.imtnsiD.fl04434D.廊1?33.^9.&70<.07i.mni一h0.56OS18.0?0.00020.0008口_?4沖u』wIResidualOFSumofMeanSouireFV^luePr>F1#孔話EHPUreErrorTotalError547flnnnui0,0000^01910J001B1nnnnnzcREA m蹌<.0000119490,000025m，MEE1ParaneierOFEstiniateStandardErrortValuePr>ItlPsr訓(xùn)昭terEstiihAlefromCodedDaMInterceptI-2*3637700.3S3?72-6.D90.。0050.103800xl10.02698S0.004場5-830-0006D.O17G3Tx￡10.0201920』肪？163.870.0061-0.00126?德t0-002291-0.00015*o.meis2.8。0-02BE0.0O335Sxl*x110,000024767-S.030.0005-Q.015078x2*x1I-O.OOOOE547SQ.000025411'2.180.0653-0.005546x2*x21-D.OOQOg5SSO0.000024787-8.470.0104-0.008588x3*x11LOOQO018290.00000423&0.430.G7380.001037x3*x2I-0.0000020350.000004235-0.480.6455-0,001221t七?ODOOO找71o.AoaodOfifie偵如-0.00fl17B

DQ4&昭誑國親①鴦TheSystem09:52Monday,Dec咖her&T20112TheRSREGProcedureFactorOFSumofliftresMeanSquareFVeduePr>FxlxZx34A40.0Q35720.000452DJD08?fQ.0008339.00D1130.000095592”.簡4.883JOLC0C1&.0J350.恥粕TheRSREGProcedureCanonital ofResponseSbirfac已BasedonCodedDataFactorCritit?4lCodedViIueUncoded0.65531076.503598?戒-0^0312086.9S8804鳥30.271521狷6.麟i歸？Predictedvalueatstationarypoint：0.110187EigenvaluesEigenvectorsxl x2必-0.0070450.303933-0.7689390.562457-0.008684-0.1692080.5398340.&25929-0.0161140.93S6100/342024-0.03^516Stationarypointisamaximuni.5.3經(jīng)過SAS嶺脊分析，最有條件為A提取溫度為：76.503°CB乙醇體積分數(shù)為：86.968%C提取功率為：496.29127W提取率%為:0.110187%6 RSM分析和SAS分析與原文結(jié)果比擬表二提取溫度〔°C)乙醇體積分數(shù)〔%)提取功率(W)提取率％RSM分析76.5100086.96000496.300000.11019SAS分析76.5030086.96800496.291270.11019原文結(jié)果76.5100086.96000496.320000.110007、案例實驗設(shè)計和原文數(shù)據(jù)分析比擬及評價本文利用現(xiàn)今流行的DesignExpert7.0軟件和SAS軟件中的嶺脊分析驗證文獻?響應(yīng)面法優(yōu)化超聲輔助提取車前草中的熊果酸？中的數(shù)據(jù)分析過程。從實驗方案的建立到實驗結(jié)果的方差分析，再到二次多項式逐步回歸擬合，到最后的最優(yōu)值的計算,本文演示的結(jié)果和原文根本一致,僅有一些略微的差異，各項數(shù)據(jù)均能符合統(tǒng)計指標要求。但通過RSM分析得出的最優(yōu)值仍不可靠，所以還需用SAS軟件進展嶺脊分析，這樣得出的最優(yōu)提取條件才是可靠的。經(jīng)過驗證，原文中的提取溫度因素對提取率有顯著性影響，而乙醇體積分數(shù)和提取功率兩因素對提取率缺乏顯著性影響。因此，在本實驗方案存在缺陷,需要進一步進展改良