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Shelf life prediction of dried fruit and vegetables PDF

298 Pages·2012·6.53 MB·English
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Preview Shelf life prediction of dried fruit and vegetables

Copyright is owned by the Author of the thesis. Permission is given for a copy to be downloaded by an individual for the purpose of research and private study only. The thesis may not be reproduced elsewhere without the permission of the Author. SHELF LIFE PREDICTION OF DRIED FRUIT AND VEGETABLE S: A QUANT ITATIVE APPROACH A THESIS PRESENTED IPNAR T IAL FULFILME NT OF THER EQUIREME NTS FOR THED EGREE OF DOCTOR OF PHILOSOPHY IN FOOD TECHNOLOGY AT MASSEY UNIVE RSITY CHRISTINE MARI E SAMANIEG O-ESGUERRA 1989 11 ABS TRACT Theq uanittaitvea pparoch tos hellfi ef predcition off oods isa reltiavleyn ewf ielodf f ootde hcnology andt he paucitoyf p ublsihesdt uidesi nt hsi areian dicatesa need forf urthreers ecahr. Thep reesnts tudyw asu nedratketno devleop ande vlauatae m ethoodlogyf ort hes helfl ief predctiiono fp ackageddr iefdo odussi nga quantittaive aprpoahc. Thed evleopmenot fa tehcniquef ort hes helfl ief predtiiocno fp acakgedd ried ofdo,s specfiiclayl onion flkaes,s lciedg reebne nas, anda pricohta vles, invloved the mathemiactalmo edlilngo fp roudct apnadc kaeg chartaecrtiissc asf unticonso fe nvirnomenatlc ondiionts, ie..t emperatuarnedh uimdit.y TheW VTRa ndp ermaebiltiy conntssto afL DEP (06 �m) ,P ET (21 �m) anda lamintaeo fb othf ilms( 30 LDPEan d1 2 � � PET)w ered eetrmineadt d ifefrentt emperaturaensd humdiiti.e s gAe nrealm odle wasd evleopedw hich satifsatcoriplrye dictpeedmr enaceosf t he threfeil msa s a funicton ofe xtnearlr elativeh umiditaynd t empreatur.e Them ositurseo prtioni sothmesro ft het hrepero ductsw ere o determineadt 2 0,3 0,a nd4 0C. The moedla dequaetly GAB descirbetdh e isotherumsisn g ad irecnto nlinearre gerssni o analyiss. Thek ineitcso ft he deetriotrivaer eatcionlsim itgi nthe shelfl ief oft het hrederi edp roudctsa ndt heiarc ecpatble limitsw ered etemrine.d Stroaget rilasw erec onducteodn the thprroedue ctsu ndre differentr elativeh umidit(y2 3% to5 9% RH ford riedo niofnl ask eandg reebne nas; 59% to iii 81% RH for dried aprico)t andt epmertaure( 20C0 to4 0oC) conidtinos. Noneznymic brwoning ionn iofnl akaensd c hlorophylla loss ing reebne answ ereb etetrd escrbied bay z eroor-edr recatiomno edl. Thoilsulhpinatleo sisn o nino flkaes, nonnezmyicb rwoningi na pircot, andS 0 losisn b otghr een 2 beanasn da pricost wereb etetrd escribedb ya first-doerr reacitonm oedl. Foro nion flakse andg reebne nas, the rateosf r eatcinosw eref ountdo i ncreawsiet ahn increase in twhaeet ra citvitoyf t he products. Empirilc eaquations werede rivedd escribingt her eltainoshibpe tewnet he rates ofr eaictonsa ndw aetra ctivit.y TheA rrhneiuseq uaiton satisafctorildyes crbiedt he rteilonashipb etwereant e conasntst andt empreatu.r e Noennyzmicb rowninga nds ulhpurd ioixde lossi nd ried apircotesxh ibitae tdre ndw hereitnh er aet increawsietdh waetra citvituyn itla maixmum wasr eahceda ndt hen decraesewdi tha futrheri ncerasien w aetra citvtiy. The reaticonsf olwleodt heA rrhneiuesq uationa ta llt hree waetra ctivitlyev els. Matehmaitcamlo delosf q ulaityd eetriotriaon int hed ried foosd wered evleopedb ased thoent heroeitcaaln de mpircial equaitonso btaniedo nt he kiniectso ft he deteriaotirve reatcionsa sf unictonso fs toraget ime, watera citvitayn d temperatur. eThree wcalso es agreemenbte tewent hea ctual andp reidcteds helf vlesi oft he unpackagderdi efdoo ds storedu ndevra rbilaet epmeratuarnedr eliavteh umidity condiionts. Ino rdert op reicdtt hes helfl ief oft he driepdr oudcst pakcagedi np olmeyrifci mls, cao pmuetri tetriavet ehcnique ·was devleopedw hich combinetdh em oedlsd escrbiingth e permealbitiyc hartaecirstisc oft he pakcaginfgi mls, the soprtion propeiretso ft hep roudc,t thek inteicso f iv deteriotriano int he proudcst and tmhaes st rnaspto r equation. Bys olvnigt hseee quationsn uemriacllwyi tthh e aido fa computer,m oistureg ai,n qulaitlyo sasn ds helf lief oft hep roudctsw eres atifsatcoirly predcitedun edr varioussto ragec ondiionts. v ACKNOWLEDGEMENTS I wisht ot hanmky suprevsio,r Professro GordoLn. Roberstonf,o r all theh elp,t imea nde ncoruagemetn he proveiddd urintgh ec oursoef t hsi wor.k Apprectiioani s alseox tendetdo DIran Boagf or hisa ssinscteai nt he sttaistailca ndm atheimcaatals ptesco ft hes tuyd. I amg rtaeuflt oD rR oebrt Holnldaf orr evewiign the chpatero np ermaebiltiy; toM rG .R adrfdo,M rs M.CB.e wely, Mr M .C olnon andM r H .v anT ilf ort heirt ehcnical asstiansc;e andt oU nliever( N. Z .L)t.d forp roviditnhge driedv eegtbale.s Thiwso kr wouldn oth avbe ene posbsliew ithofuuntd infgr mo theN ewZ eanldaa ndP hliippinego vrenmetns,t ow homI am indetbed. aIl swoi sth ot hnakD rA liciLau ster andm y companyt heF ooDde vloepmenCte ntrfeo rt heirs uppor.t Fianllyt,oM ar,k myf amilayn df reindfso rt heirc ontinual moraslu ppotr, sIh alallw aybse v ergyr taeful. Vl TABLE OF CONTENTS PAGE ABSTRACT ii ACKNOEWDGLEMENST v LISOTF T ABLSE ix LISOTF F IGURSE xv CHAPTERS 1 .I NTROUDCITON 1 2 .M OISTURE SOPRTINO IOSTHERMOSFD RIEFDOO DS 2 .I1n tdrucotion 8 2 .L2i treatuRreev iwe 9 2 . 2S.o1pr tion Isotmh eMrodles 11 2 2.2. Effte ocfT emperatrue 15 2 . 2M.oi3st urSeo prtion Isothremso fD ried 17 Onion,G reeBne nas, andA prioct 2 .M3et hodloogy 18 2 . 3B.a1c kground 18 2 3..M2at erials 19 2 3..R3el ibailityo ft he Method 21 2 . 3S.am4p leP repatriaon 21 2 .E4x piemreanlt 22 2 .R5es ulst andD isucssion 24 25..G1e nrealO bsevraitons 24 2 5..S2o prtionI sothme Erquaiton 34 25..F3i t tohfeG ABM odle 43 2 .C6o cnlusion 48 3.W ATERV AOPURP EMERABILYI OTFP ACKIANGGF IMLS 3 .I1n truocditon 51 3 .L2i treatuRreeiv ew 52 3 . 2E.f1ef ct ofR elativeH umdiity 55 3 . 2E.f2ef ct ofT epmertaure 56 vii 3 . 2E.f3ef ct ofP inholse 57 3 . 2O.t4hr e Fatcors 58 3 .M3et hoodloyg 59 3 . 3B.a1c kground 59 3 . 3P.ro2c eudre 59 3 . 3C.al3c uliaotns 62 3 . 3M.at4e rlisa 62 3 .E4x piemreanlt 62 35. Results andD iscusn sio 65 3 . 5W.V1RT andP emreance 65 3 . 5D.e2v oeplmneto ft heP emreabilitMyo edl 79 3 .C6o nlucsion 82 4 .K IENTICOSFD ETREIOARTIVE RECATIONSI ND RIEFDOO DS 4 .I1nt rdouciton 84 42. LitreaturReev iew 84 42..B1a ckground 84 42..F2ac torsA ffteicngt heK ienticso f 86 Reacitons 42..M3o dse ofD eteroiration 93 4 .M3a etrilasa ndM ethods 99 4 3..M1oi sturCeo netnt 99 43..O2ni on 100 4 . 3 .M2at.e1r li a 100 4 . 32. T2h.iollpshuinea tDetmeirntiaon 100 4 . 3 .B2r.wo3ni ngM easuerment 104 43..G3r eeBne nas 105 4 . 3 .M3a.et1r ila 105 4 ..33 .C2hl orphoylDl etmeirntiaon 106 4 . 3 .S3ul.p3h uDri oixde Detmeirnatio1n 08 4 .43 A.pricot 111 4 . 3 .M4a.et1r ila 111 4 . 32. B4r.woning Measruement 111 4 . 3 .S4e.n3sy o Ervalaution 115 43.. 4S.u4l phDuiro xei Ddetmeirntiaon 116 4 .E4xp eirmeanlt 117 4 .R5es ults andD iscusison 121 viii 45..O1n ion 121 45.. 1N.o1n zenymicB rwoning 121 45..21 T.hilosluphinatLeo ss 133 45.. 1S.he3lf Lief oft heD rieOdni on 139 Flask e 4 5..G2r eeBnea ns 142 4 . 5 .C2h.l1oo prhylLlo ss 142 45..22 S.ulphuDri oixde Loss 151 45..A3pr icot 155 45.. 3N.o1n zenymicB rwoning 156 4 . 5 .S3ul.p2h uDri oixde Loss 156 4 .C6on clusino 171 5 .D EEVLOPMENTAN DE VALAUTION OFS HELLFI FE PREDICTNI MOODELS 5 . I1n torduicton 173 5 .E2xp erimental 175 5 . 2C.al1cu laiton andP rograDmev elpomnet 175 5 . 2S.t2ro agTer ilas 175 5 .D3ev elmoepnto fM odelsf orQu ality 176 Deteritoirnoa inD ride Foods 5 .P4re dcitiono fM oisturTer nasfera nd 191 Shelf Lief ofP ackageDdr ieFdoo ds 5 .C5on culsino 215 6.S UMMARY ANDC ONCLSUIONS 216 BIBOLGIARPHY 220 APPENDICES 245 ix LISTO F TABLES TABLE PAGE 2 .W1at era citvitoyf t he saturatseadl t 20 soluotnisa td ifferentt emrpeatrue.s 2 .E2qu iilbrmi muositure nctoesn tofd ried onion 25 at fdfeirentw aetra citviitesa ndt empreautre.s 2 .E3qu iilbrmi muositurceon tenst ofd ried green 26 beanast d ifferetn as andt empreatur.e s w 2 .E4qu iilbrmi muoistucronet etnso fd ried apricot2 7 at fdfeirenats andt empreatuers. w 2 .R5es ultso ft he tranfsomred,p olnyomial 37 regsrseiona nailsy. 2 .6 Resultosf t hew eighted,n onlineart,hr ee 38 parmaeterG ABe quaito.n 2 .E7s itmaetso ft hes ixp armaeetrsf or the 39 nonilneaGrA Be quaiton. 2 .C8a lucltaedi sotherm consnttsa baseodn t he 40 nonilnears,ix parmaeterG ABe quations. 2 .R9es ultosf t he BETa nalysi.s 42 2 .01 Expeirmnetala ndc alucltaedm eamno isture _44 contentv aluefso rd rieodni on. 2 .11 Expermientala ndc alucltaedm eamno itsure 45 contetn valuefsor driegdr eebne an. s 2 .21 Expeirmeantla ndc alucltaedm eamno siture 46 contetn valuefso rd ried apircot. 3 .a1 Saturatsealdt s oltuinosa ndt heir 64 corrpeosndinga td iffeerntt emperatrue.s RH 3 .b1 Assumedi ntrenarle lativeh uimditiesf or 64 PETf il.m 3 .C2h angiena bsorbancoef t hed etectofrim l 66 asa fucntion of tei.m 3 .R3es ultosf t her ergesisone quaitonfso rW VTR 68 asa funicton of� p. 3 .W4V TRa tc onasntte xternRHa.l 70

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predict ion o f packaged dried foods , speci fically onion flakes, s l iced green beans , and apricot halves , involved t he m a t h e m a t i c a l m o de
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