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Predicting Fraction Dose Absorbed in Humans Using a Macroscopic Mass Balance Approach

dc.contributor.authorAmidon, Gordon L.en_US
dc.contributor.authorSinko, Patrick J.en_US
dc.contributor.authorLeesman, Glen D.en_US
dc.date.accessioned2006-09-08T19:23:41Z
dc.date.available2006-09-08T19:23:41Z
dc.date.issued1991-08en_US
dc.identifier.citationSinko, Patrick J.; Leesman, Glen D.; Amidon, Gordon L.; (1991). "Predicting Fraction Dose Absorbed in Humans Using a Macroscopic Mass Balance Approach." Pharmaceutical Research 8(8): 979-988. <http://hdl.handle.net/2027.42/41563>en_US
dc.identifier.issn1573-904Xen_US
dc.identifier.issn0724-8741en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/41563
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=1924168&dopt=citationen_US
dc.description.abstractA theoretical approach for estimating fraction dose absorbed in humans has been developed based on a macroscopic mass balance that incorporates membrane permeability and solubility considerations. The macroscopic mass balance approach (MMBA) is a flow model approach that utilizes fundamental mass transfer theory for estimating the extent of absorption for passively as well as nonpassively absorbed drugs. The mass balance on a tube with steady input and a wall flux of J w = P w C b results in the following expression for fraction dose absorbed, F : F = 2 An ∫ 0 1 C * b dz * where the absorption number, An = L/R · P w / v z >;, L and R are the intestinal length and radius, P w is the unbiased drug wall permeability, ⟨ v z ⟩ is the axial fluid velocity, C * b = C b /C o and is the dimension-less bulk or lumen drug concentration, C b and C o are the bulk and initial drug concentrations, respectively, and z * is the fractional intestinal length and is equal to z/L . Three theoretical cases are considered: (I) C o ≤ S , C m ≤ S , (II) C o > S , C m ≤ S , and (III) C o > S , C m > S , where S is the drug solubility and C m is the outlet drug concentration. Solving the general steady-state mass balance result for fraction dose absorbed using the mixing tank (MT) and complete radial mixing (CRM) models results in the expressions for the fraction dose absorbed in humans. Two previously published empirical correlations for estimating fraction dose absorbed in humans are discussed and shown to follow as special cases of this theoretical approach. The MMBA is also applied to amoxicillin, a commonly prescribed orally absorbed β-lactam antibiotic for several doses. The parameters used in the correlation were determined from in situ or in vitro experiments along with a calculated system scaling parameter. The fraction dose absorbed calculated using the MMBA is compared to human amoxicillin pharmacokinetic results from the literature with initial doses approximated to be both above and below its solubility. The results of the MMBA correlation are discussed with respect to the nonpassive absorption mechanism and solubility limitation of amoxicillin. The MMBA is shown to be a fundamental, theoretically based model for estimating fraction dose absorbed in humans from in situ and in vitro parameters from which previously published empirical correlations follow as special cases.en_US
dc.format.extent1732602 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherPharmacyen_US
dc.subject.otherBiochemistry, Generalen_US
dc.subject.otherMacroscopic Mass Balance Analysisen_US
dc.subject.otherMedical Lawen_US
dc.subject.otherPharmacology/Toxicologyen_US
dc.subject.otherAmoxicillinen_US
dc.subject.otherSolubilityen_US
dc.subject.otherBiomedicineen_US
dc.subject.otherComplete Radial Mixing Modelen_US
dc.subject.otherMixing Tanken_US
dc.subject.otherExtent of Absorptionen_US
dc.subject.otherBiomedical Engineeringen_US
dc.subject.otherOral Drug Absorptionen_US
dc.titlePredicting Fraction Dose Absorbed in Humans Using a Macroscopic Mass Balance Approachen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPharmacy and Pharmacologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumCollege of Pharmacy, The University of Michigan, Ann Arbor, Michigan, 48109-1065en_US
dc.contributor.affiliationumCollege of Pharmacy, The University of Michigan, Ann Arbor, Michigan, 48109-1065; Therapeutic Systems Research Laboratories, Inc., P.O. Box 7062, Ann Arbor, Michigan, 48107en_US
dc.contributor.affiliationumCollege of Pharmacy, The University of Michigan, Ann Arbor, Michigan, 48109-1065; Therapeutic Systems Research Laboratories, Inc., P.O. Box 7062, Ann Arbor, Michigan, 48107en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.identifier.pmid1924168en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/41563/1/11095_2004_Article_305543.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1015892621261en_US
dc.identifier.sourcePharmaceutical Researchen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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