STATISTIČKA OCENA NEKIH ČETIRI PARAMETARSKIH MODELA SORPCIONIH IZOTERMI
Sažetak
Krive sorpcije i desorpcije su veoma važne pri definisanju ravnotežne vlažnosti i aktivnosti vode. Predviđanje promena ovih veličina u zavisnosti od stanja okolnog vazduha su veoma važne za sušenje i skladištenje poljoprivrednog proizvoda. Izoterme sorpcije vlage opisuju odnos između ravnotežnog sadržaja vlage i aktivnosti vode pri konstantnim temperaturama i pritiscima. Za preradu prehrambenih materijala važne su sorpcione izoterme u modelovanju procesa sušenja, projektovanju i optimizaciji opreme za sušenje, predviđanju stabilnosti roka trajanja, izračunavanju promena vlažnosti, koje se mogu pojaviti tokom skladištenja i izbor odgovarajućeg materijala za pakovanje U radu su korišćeni esperimentalni ravnotežne vlažnosti dunje, odnosno sorpcionih krivih. Za aproksimaciju sorpcionih podataka prehrambenih materijala u naučnoj literaturi dostupni su brojni matematički modeli. Zavisno od broja parametara, modeli mogu biti jedno, dvo, tro, četvoro ili više parametarski. U radu je prikazana statistička ocena trideset dva četiriparametarskih modela koji su korišćeni za aproksimaciju ravnotežne vlažnosti dunje. Analizirani modeli su preuzeti iz refrentne svetske literature, a nekoh od njih su izvorno generisani. Na osnovu dobijenih rezultatata može se zaključiti da modeli Popovski&Mitrevski sa referentnim brojem M25 i M30 i model McLarenN&Rowen imaju najbolje statističke performanse. Glavni kriterijum ocene bio je koeficijent determinacije čija je vrednost za najbolje ocenjeni model je R2 = 0.9957. Vrednosti statističkih parametara modela procenjene su slaganjem proračunatih sa eksperimentalnim podacima ravnotežne vlažnosti dunje korišćenjem metodom koji minimizira greške sume kvadrata.
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