?url_ver=Z39.88-2004&rft_id=10.1039%2Fd0ra07969c&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aulast=Isiyaka&rft.au=Isiyaka%2C+H.A.&rft.aufirst=H.A.&rft.title=RSC+Advances&rft.date=2020&rft.issue=70&rft.volume=10&rft.issn=20462069&rft.atitle=Adsorption+of+dicamba+and+MCPA+onto+MIL-53(Al)+metal-organic+framework%3A+Response+surface+methodology+and+artificial+neural+network+model+studies&rft.pages=43213-43224&rft.genre=article