These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
266 related articles for article (PubMed ID: 17760990)
1. Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester. Basri M; Rahman RN; Ebrahimpour A; Salleh AB; Gunawan ER; Rahman MB BMC Biotechnol; 2007 Aug; 7():53. PubMed ID: 17760990 [TBL] [Abstract][Full Text] [Related]
2. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in optimization of the immobilization conditions for lipase from Candida rugosa on Amberjet(®) 4200-Cl. Fatiha B; Sameh B; Youcef S; Zeineddine D; Nacer R Prep Biochem Biotechnol; 2013; 43(1):33-47. PubMed ID: 23215653 [TBL] [Abstract][Full Text] [Related]
3. Immobilized Rhizopus oryzae lipase catalyzed synthesis of palm stearin and cetyl alcohol wax esters: optimization by response surface methodology. Sellami M; Aissa I; Frikha F; Gargouri Y; Miled N BMC Biotechnol; 2011 Jun; 11():68. PubMed ID: 21682865 [TBL] [Abstract][Full Text] [Related]
4. Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil. Maran JP; Priya B Ultrason Sonochem; 2015 Mar; 23():192-200. PubMed ID: 25457517 [TBL] [Abstract][Full Text] [Related]
5. A modeling study by response surface methodology and artificial neural network on culture parameters optimization for thermostable lipase production from a newly isolated thermophilic Geobacillus sp. strain ARM. Ebrahimpour A; Abd Rahman RN; Ean Ch'ng DH; Basri M; Salleh AB BMC Biotechnol; 2008 Dec; 8():96. PubMed ID: 19105837 [TBL] [Abstract][Full Text] [Related]
6. Comparison of the estimation capabilities of response surface methodology and artificial neural network for the optimization of recombinant lipase production by E. coli BL21. Nelofer R; Ramanan RN; Rahman RN; Basri M; Ariff AB J Ind Microbiol Biotechnol; 2012 Feb; 39(2):243-54. PubMed ID: 21833714 [TBL] [Abstract][Full Text] [Related]
7. Application of artificial neural network for yield prediction of lipase-catalyzed synthesis of dioctyl adipate. Abdul Rahman MB; Chaibakhsh N; Basri M; Salleh AB; Abdul Rahman RN Appl Biochem Biotechnol; 2009 Sep; 158(3):722-35. PubMed ID: 19132557 [TBL] [Abstract][Full Text] [Related]
8. Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial neural network. Pakalapati H; Tariq MA; Arumugasamy SK Enzyme Microb Technol; 2019 Mar; 122():7-18. PubMed ID: 30638510 [TBL] [Abstract][Full Text] [Related]
9. Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN). Titah HS; Halmi MIEB; Abdullah SRS; Hasan HA; Idris M; Anuar N Int J Phytoremediation; 2018 Jun; 20(7):721-729. PubMed ID: 29723047 [TBL] [Abstract][Full Text] [Related]
10. Optimisation and Characterisation of Lipase-Catalysed Synthesis of a Kojic Monooleate Ester in a Solvent-Free System by Response Surface Methodology. Jumbri K; Al-Haniff Rozy MF; Ashari SE; Mohamad R; Basri M; Fard Masoumi HR PLoS One; 2015; 10(12):e0144664. PubMed ID: 26657030 [TBL] [Abstract][Full Text] [Related]
11. Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN). Sarve A; Sonawane SS; Varma MN Ultrason Sonochem; 2015 Sep; 26():218-228. PubMed ID: 25630700 [TBL] [Abstract][Full Text] [Related]
12. Modelling and optimization of Mn/activate carbon nanocatalysts for NO reduction: comparison of RSM and ANN techniques. Mousavi SM; Niaei A; Salari D; Panahi PN; Samandari M Environ Technol; 2013; 34(9-12):1377-84. PubMed ID: 24191470 [TBL] [Abstract][Full Text] [Related]
13. Production of wax esters via microbial oil synthesis from food industry waste and by-product streams. Papadaki A; Mallouchos A; Efthymiou MN; Gardeli C; Kopsahelis N; Aguieiras ECG; Freire DMG; Papanikolaou S; Koutinas AA Bioresour Technol; 2017 Dec; 245(Pt A):274-282. PubMed ID: 28892702 [TBL] [Abstract][Full Text] [Related]
14. High yield lipase-catalyzed synthesis of Engkabang fat esters for the cosmetic industry. Abd Rahman NF; Basri M; Rahman MB; Rahman RN; Salleh AB Bioresour Technol; 2011 Feb; 102(3):2168-76. PubMed ID: 21050749 [TBL] [Abstract][Full Text] [Related]
15. RSM and ANN modeling-based optimization approach for the development of ultrasound-assisted liposome encapsulation of piceid. Huang SM; Kuo CH; Chen CA; Liu YC; Shieh CJ Ultrason Sonochem; 2017 May; 36():112-122. PubMed ID: 28069190 [TBL] [Abstract][Full Text] [Related]
16. Development of experimental design approach and ANN-based models for determination of Cr(VI) ions uptake rate from aqueous solution onto the solid biodiesel waste residue. Shanmugaprakash M; Sivakumar V Bioresour Technol; 2013 Nov; 148():550-9. PubMed ID: 24080294 [TBL] [Abstract][Full Text] [Related]
17. Optimization of culture medium and modeling of curdlan production from Paenibacillus polymyxa by RSM and ANN. Rafigh SM; Yazdi AV; Vossoughi M; Safekordi AA; Ardjmand M Int J Biol Macromol; 2014 Sep; 70():463-73. PubMed ID: 25062991 [TBL] [Abstract][Full Text] [Related]
18. Improving fatty acid methyl ester production yield in a lipase-catalyzed process using waste frying oils as feedstock. Azócar L; Ciudad G; Heipieper HJ; Muñoz R; Navia R J Biosci Bioeng; 2010 Jun; 109(6):609-14. PubMed ID: 20471601 [TBL] [Abstract][Full Text] [Related]
19. Comparative study of ANN and RSM for simultaneous optimization of multiple targets in Fenton treatment of landfill leachate. Sabour MR; Amiri A Waste Manag; 2017 Jul; 65():54-62. PubMed ID: 28396167 [TBL] [Abstract][Full Text] [Related]
20. Highly Efficient Synthesis of an Emerging Lipophilic Antioxidant: 2-Ethylhexyl Ferulate. Huang KC; Li Y; Kuo CH; Twu YK; Shieh CJ Molecules; 2016 Apr; 21(4):478. PubMed ID: 27077838 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]