{"id":9789,"date":"2024-09-17T09:43:55","date_gmt":"2024-09-17T09:43:55","guid":{"rendered":"https:\/\/longchangextracts.com\/?p=9789"},"modified":"2024-09-17T09:43:55","modified_gmt":"2024-09-17T09:43:55","slug":"food-shelf-life-prediction","status":"publish","type":"post","link":"https:\/\/longchangextracts.com\/tr\/food-shelf-life-prediction\/","title":{"rendered":"G\u0131da raf \u00f6mr\u00fc tahmininin yayg\u0131n modelleri ve uygulama durumlar\u0131 nelerdir?"},"content":{"rendered":"<h1>G\u0131da raf \u00f6mr\u00fc tahmininin yayg\u0131n modelleri ve uygulama durumlar\u0131 nelerdir?<\/h1>\n<p>G\u0131dan\u0131n raf \u00f6mr\u00fc sadece t\u00fcketicilerin duyusal zevkini etkilemekle kalmaz, ayn\u0131 zamanda t\u00fcketicilerin sa\u011fl\u0131k ve g\u00fcvenli\u011fini de ilgilendirir ve g\u0131da \u00fcreticilerinin itibar\u0131, markas\u0131 ve ekonomik faydalar\u0131 ile ilgilidir. Belirli saklama ko\u015fullar\u0131 alt\u0131nda \u00fcr\u00fcnlerin raf \u00f6mr\u00fcn\u00fcn do\u011fru bir \u015fekilde tahmin edilmesi ve hesaplanmas\u0131, \u00fcreticilerin dola\u015f\u0131m s\u00fcresi boyunca g\u0131dan\u0131n kalitesi ve etkinli\u011fi konusundaki garantisi ve taahh\u00fcd\u00fcd\u00fcr; bu da \u00fcr\u00fcn depolama, dola\u015f\u0131m ve da\u011f\u0131t\u0131m stratejilerinin form\u00fclasyonu i\u00e7in etkili bir temel sa\u011flayabilir ve ayr\u0131ca raf \u00f6mr\u00fcn\u00fc daha da uzatma olas\u0131l\u0131\u011f\u0131 i\u00e7in bir referans sa\u011flayabilir.<\/p>\n<p>Bir g\u0131dan\u0131n raf \u00f6mr\u00fc, belirtilen saklama ko\u015fullar\u0131 alt\u0131nda g\u0131dan\u0131n kalitesinin korundu\u011fu, genellikle g\u0131dan\u0131n fiziksel, kimyasal, mikrobiyolojik veya duyusal \u00f6zellikler a\u00e7\u0131s\u0131ndan t\u00fcketim i\u00e7in kabul edilebilir oldu\u011fu s\u00fcredir. \u00dcr\u00fcn \u00f6zelliklerine ba\u011fl\u0131 olarak iki olas\u0131 senaryo vard\u0131r.<br \/>\nBirincisi \"g\u00fcvenli t\u00fcketim s\u00fcresi\", \u00f6zellikle \u00e7abuk bozulan g\u0131dalar i\u00e7in, \"g\u00fcvenli t\u00fcketim s\u00fcresi \"nden sonra, k\u0131sa bir s\u00fcre i\u00e7inde insan sa\u011fl\u0131\u011f\u0131na do\u011frudan bir tehdit olu\u015fturmas\u0131 muhtemeldir, g\u0131da g\u00fcvensiz kabul edilir, sat\u0131lamaz veya yenemez;<br \/>\n\u0130kinci durum ise \"son t\u00fcketim tarihi\" olup, g\u0131dan\u0131n uygun \u015fekilde depoland\u0131\u011f\u0131nda belirli \u00f6zelliklerini (g\u00f6r\u00fcn\u00fcm, koku, doku, tat vb. kalite \u00f6zellikleri dahil) korudu\u011fu tarihtir (EU1169\/2011).<br \/>\n\u015eu anda \u00c7in'de kullan\u0131lan standart terim \"g\u0131da raf \u00f6mr\u00fc \"d\u00fcr ve 23 Eyl\u00fcl 2020 tarihinde yay\u0131nlanan \"G\u0131da Etiketleme Denetim ve \u0130dare Tedbirleri (Yorumlar i\u00e7in Taslak)\" Madde 15 (3)'te \"kalite tarihi\" \u00d7\u00d7\u00d7 ay \u00d7\u00d7 g\u00fcn\u00fcnden \u00f6nce yeme (i\u00e7me) \u00d7\u00d7\u00d7 Y\u0131l \u00d7\u00d7 ay \u00d7\u00d7 g\u00fcn \u00d7\u00d7\u00d7 y\u0131l \u00d7\u00d7 \"vb.\" ile i\u015faretlenebilir. Gelecekteki \"g\u0131da raf \u00f6mr\u00fcn\u00fcn\" g\u0131da raf \u00f6mr\u00fc kavram\u0131n\u0131 i\u00e7erece\u011fini g\u00f6sterir.<br \/>\nBu makale, g\u0131da \u00fcreticilerinin g\u0131da raf \u00f6mr\u00fcn\u00fc de\u011ferlendirmesi, tasarlamas\u0131 ve do\u011frulamas\u0131 i\u00e7in belirli bir temel sa\u011flamak amac\u0131yla, g\u0131da raf \u00f6mr\u00fc ile ilgili standartlara ve d\u00fczenlemelere odaklanacak, kalite bozulmas\u0131 ilkesine dayal\u0131 raf \u00f6mr\u00fc tahmin y\u00f6ntemini \u00f6zetleyecek ve mevcut raf \u00f6mr\u00fc tahmin modelinin pratik uygulamas\u0131nda var olan sorunlar\u0131 \u00f6nceki ara\u015ft\u0131rma temeliyle birlikte analiz edecektir.<br \/>\nG\u0131da raf \u00f6mr\u00fc\/kullan\u0131m s\u00fcresi standartlar\u0131 ve y\u00f6netmeliklerinin durumu<br \/>\n\u015eu anda, \u00e7e\u015fitli \u00fclkelerde g\u0131da raf \u00f6mr\u00fc veya g\u0131dan\u0131n raf \u00f6mr\u00fcn\u00fcn tan\u0131m\u0131 i\u00e7in evrensel bir standart bulunmamaktad\u0131r. ISO 16779:2015, g\u0131dan\u0131n son kullanma tarihinin, pazarlanan \u00fcr\u00fcnlerin belirtilen depolama ko\u015fullar\u0131 alt\u0131nda beyan edilen kalitelerini korumalar\u0131 i\u00e7in son tarih oldu\u011funu, yani bu tarihten \u00f6nce \u00fcr\u00fcn kalitesinin hala tamamen tatmin edici oldu\u011funu; ve son kullanma tarihinin, belirtilen depolama ko\u015fullar\u0131 alt\u0131nda g\u0131dan\u0131n g\u00fcvenli kalitesinin korundu\u011fu son kullanma tarihi oldu\u011funu, bundan sonra \u00fcr\u00fcn\u00fcn t\u00fcketiciler taraf\u0131ndan yayg\u0131n olarak beklenen kalite \u00f6zelliklerine sahip olmayabilece\u011fini, yani bu tarihten sonra g\u0131dan\u0131n pazarlanabilir olarak kabul edilmemesi gerekti\u011fini \u00f6ng\u00f6rmektedir.<br \/>\nTablo 1 Farkl\u0131 \u00fclkelerdeki g\u0131da raf \u00f6mr\u00fc\/raf \u00f6mr\u00fc standartlar\u0131 ve d\u00fczenlemeleri<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-9790\" src=\"https:\/\/longchangextracts.com\/wp-content\/uploads\/2024\/09\/1-25-650x433.png\" alt=\"\" width=\"650\" height=\"433\" srcset=\"https:\/\/longchangextracts.com\/wp-content\/uploads\/2024\/09\/1-25-650x433.png 650w, https:\/\/longchangextracts.com\/wp-content\/uploads\/2024\/09\/1-25-325x217.png 325w\" sizes=\"(max-width: 650px) 100vw, 650px\" \/><\/p>\n<p>G\u0131da raf \u00f6mr\u00fc tahmininde yayg\u0131n modeller ve uygulamalar<br \/>\nHalihaz\u0131rda g\u0131da ve i\u00e7ecek \u00fcr\u00fcnlerinin \u00fczerinde yer alan raf \u00f6mr\u00fc ibaresi genellikle t\u00fcketicilere \u00fcr\u00fcn\u00fcn belirlenen i\u015fleme, paketleme, nakliye ve depolama ko\u015fullar\u0131 alt\u0131ndaki raf \u00f6mr\u00fcne ili\u015fkin kabaca bir k\u0131lavuz sunmaktad\u0131r.<br \/>\nBununla birlikte, ger\u00e7ek \u00fcr\u00fcn ya\u015fam zincirinde, depolama ko\u015fullar\u0131ndaki de\u011fi\u015fiklikler, nakliye s\u0131ras\u0131nda ambalaj\u0131n zarar g\u00f6rmesi ve di\u011fer fakt\u00f6rler, \u00fcr\u00fcn\u00fcn ger\u00e7ek raf \u00f6mr\u00fcn\u00fc, \u00fcr\u00fcn\u00fcn ama\u00e7lanan raf \u00f6mr\u00fcnden daha k\u0131sa veya daha uzun hale getirebilir ve bu da g\u0131da g\u00fcvenli\u011fi ve israfla ilgili sorunlara yol a\u00e7abilir.<br \/>\nBu nedenle raf \u00f6mr\u00fc tahmini ve de\u011ferlendirmesindeki geli\u015fmeler, g\u0131da arz\u0131n\u0131n g\u00fcvenli\u011fi, g\u00fcvenilirli\u011fi ve s\u00fcrd\u00fcr\u00fclebilirli\u011finin iyile\u015ftirilmesi a\u00e7\u0131s\u0131ndan kritik \u00f6neme sahiptir.<br \/>\nRaf \u00f6mr\u00fc tahmin y\u00f6nteminde, \u00e7evresel ko\u015fullar\u0131n de\u011fi\u015fimine g\u00f6re \u00fcr\u00fcn\u00fcn hizmet \u00f6mr\u00fcn\u00fc daha do\u011fru tahmin edebilen ve ayn\u0131 zamanda ger\u00e7ek zamanl\u0131 olarak izlenebilen do\u011fru dinamik modeli ve veri analiz teknolojisini se\u00e7mek \u00e7ok \u00f6nemlidir. Bu makalede, kalite bozulma prensibine dayal\u0131 raf \u00f6mr\u00fc tahmin y\u00f6ntemi g\u00f6zden ge\u00e7irilmi\u015ftir.<br \/>\nSon y\u0131llarda, yerli ve yabanc\u0131 akademisyenler et \u00fcr\u00fcnleri, sebzeler, meyveler ve benzerlerinin kalite de\u011fi\u015fimlerini incelemek ve depolama \u00f6m\u00fcrlerini tahmin etmek i\u00e7in dinamik modeller kullanm\u0131\u015f ve iyi sonu\u00e7lar elde etmi\u015flerdir.<br \/>\n\u00dcr\u00fcn kalitesinin de\u011fi\u015fimini etkileyen ana fakt\u00f6rler analiz edilerek raf \u00f6mr\u00fc sonu i\u00e7in temel g\u00f6stergeler belirlenir ve kalite bozulmas\u0131 prensibine dayal\u0131 raf \u00f6mr\u00fc tahmin y\u00f6ntemi sistemi olu\u015fturulur.<br \/>\nG\u0131da kalitesindeki de\u011fi\u015fim, i\u00e7 kalite \u00f6zellik fakt\u00f6rleri Ci (konsantrasyon, pH, su aktivitesi vb.) ve d\u0131\u015f \u00e7evresel fakt\u00f6rler Ej (s\u0131cakl\u0131k, ba\u011f\u0131l nem, paketleme vb.) taraf\u0131ndan belirlenir. G\u0131da kalitesindeki bozulma \u015fu \u015fekilde ifade edilebilir: rQ=f(Ci,Ej). G\u0131da kalitesinin bozulmas\u0131 genellikle kimyasal kalite bozulmas\u0131, mikrobiyal b\u00fcy\u00fcme dinamikleri ve g\u0131da duyusal bozulmas\u0131n\u0131 i\u00e7erir.<br \/>\n1. Kimyasal kalite bozulma kineti\u011fi modeli G\u0131da bozulmalar\u0131 \u00e7o\u011funlukla kimyasal reaksiyonlardan kaynaklan\u0131r, kimyasal kalite bozulma kineti\u011fi modeli genellikle raf \u00f6mr\u00fcn\u00fc tahmin etmek i\u00e7in kullan\u0131l\u0131r.<br \/>\nKimyasal k\u00fctle bozunumunun yayg\u0131n olarak kullan\u0131lan kinetik modeli Arrhenius modelidir.<br \/>\nArrhenius modeli, ya\u011f oksidasyonu, Maillard reaksiyonu ve protein denat\u00fcrasyonu gibi kimyasal reaksiyonlarla kolayca tahrip olan g\u0131dalara uygulan\u0131r.<br \/>\nGenel olarak, s\u0131cakl\u0131k ne kadar y\u00fcksek olursa, kimyasal reaksiyon h\u0131z\u0131 da o kadar h\u0131zl\u0131 olur, bu da \u00fcr\u00fcn kalitesinin daha h\u0131zl\u0131 d\u00fc\u015fmesi anlam\u0131na gelir. Q10 modeli, s\u0131cakl\u0131\u011f\u0131n raf \u00f6mr\u00fc \u00fczerindeki etkisine odaklan\u0131r ve bu da d\u00fc\u015f\u00fck tahmin do\u011frulu\u011funa yol a\u00e7ar. Arrhenius modelinde, s\u0131cakl\u0131\u011f\u0131n reaksiyona duyarl\u0131l\u0131\u011f\u0131n\u0131 belirlemek i\u00e7in Q10 kavram\u0131 kullan\u0131l\u0131r.<br \/>\nBir g\u0131dan\u0131n raf \u00f6mr\u00fc kayb\u0131 genellikle t s\u00fcresi boyunca A karakteristik k\u00fctle indeksindeki de\u011fi\u015fimin \u00f6l\u00e7\u00fclmesiyle de\u011ferlendirilir, genellikle f(A)=k(T)t \u015feklinde ifade edilir, burada f(A) g\u0131dan\u0131n k\u00fctle fonksiyonu ve k reaksiyon h\u0131z\u0131 sabitidir.<br \/>\nH\u0131z sabiti, Arrhenius Arrhenius ifadesiyle verilen mutlak s\u0131cakl\u0131k T'nin ters \u00fcstel fonksiyonudur, k=kAexp(-ea \/RT), burada kA bir sabittir, EA k\u00fctle kayb\u0131n\u0131 kontrol eden reaksiyonun aktivasyon enerjisidir ve R evrensel gaz sabitidir. A\u015fa\u011f\u0131daki uydurma denklemine g\u00f6re, raf sonundaki \u00fcr\u00fcn kalitesi hesaplanabilir: -d [A]\/dt=k[A]n, -d [B]\/dt=k '[B]n', burada k ve k 'kalite de\u011fi\u015fim h\u0131z\u0131 sabitleridir; n ve n 'reaksiyon s\u0131ras\u0131d\u0131r; d[A]\/dt ve d\/dt kalite de\u011fi\u015fim oranlar\u0131d\u0131r. Kimyasal indeks A'n\u0131n (besinler veya karakteristik tatlar gibi) veya istenmeyen kimyasal indeks B'nin (koku bile\u015fimi veya solan pigment i\u00e7eri\u011fi) kayb\u0131, A veya B'nin t zaman\u0131na do\u011frusal uyumu sa\u011flan\u0131rsa s\u0131f\u0131r\u0131nc\u0131 dereceden moddur; A veya B semiloglar\u0131 ile t aras\u0131ndaki do\u011frusal uyum sa\u011flan\u0131rsa birinci dereceden bir modeldir. 1\/A veya 1\/B'nin t'ye do\u011frusal uyumu sa\u011flan\u0131rsa, ikinci d\u00fczey bir moddur.<br \/>\nMikrobiyal bozulma, \u00f6zellikle taze veya minimum d\u00fczeyde i\u015flenmi\u015f so\u011futulmu\u015f \u00fcr\u00fcnler i\u00e7in g\u0131dalar\u0131n bozulmas\u0131n\u0131n ana yollar\u0131ndan biridir.<br \/>\nMikroorganizmalar g\u0131dalar\u0131n bozulmas\u0131na veya g\u0131da kaynakl\u0131 hastal\u0131klara neden olabilir. \u00c7al\u0131\u015fmalar, mikroorganizmalar\u0131n neden oldu\u011fu g\u0131da bozulmas\u0131n\u0131n esas olarak g\u0131da depolamadaki spesifik bozulma organizmalar\u0131n\u0131n (SSO) faaliyetlerinden kaynakland\u0131\u011f\u0131n\u0131 ve mikrobiyal floran\u0131n statik olmad\u0131\u011f\u0131n\u0131 ve farkl\u0131 g\u0131da t\u00fcrlerinin i\u00e7 fakt\u00f6rleri ve d\u0131\u015f \u00e7evresel fakt\u00f6rleri ile de\u011fi\u015fti\u011fini g\u00f6stermi\u015ftir. B\u00fcy\u00fcme e\u011filimi, g\u0131da raf \u00f6mr\u00fcn\u00fcn tahmin edilmesinde \u00f6nemli bir fakt\u00f6rd\u00fcr.<br \/>\nRaf \u00f6mr\u00fc, depolaman\u0131n ba\u015flang\u0131c\u0131ndan SSO'lar\u0131n belirli bir maksimum seviyeye ula\u015fmas\u0131na kadar ge\u00e7en s\u00fcre olarak tan\u0131mlanabilir. \u00dcretim ve i\u015fleme i\u015fletmeleri, bozulman\u0131n ne zaman meydana geldi\u011fini belirlemek i\u00e7in raf \u00f6mr\u00fc testleri yapmal\u0131 ve g\u0131dalar\u0131n\u0131n potansiyel riskini de\u011ferlendirmek i\u00e7in sa\u011flam bilimsel ara\u015ft\u0131rmalar kullanarak patojen mikroorganizmalar\u0131n b\u00fcy\u00fcme e\u011filimini etkili bir \u015fekilde do\u011frulamal\u0131d\u0131r.<br \/>\nLiterat\u00fcrde mikrobiyal b\u00fcy\u00fcmeyi tan\u0131mlamak i\u00e7in s\u0131cakl\u0131kla ilgili bir\u00e7ok model vard\u0131r ve g\u0131dalardaki belirli mikroorganizmalar\u0131n b\u00fcy\u00fcmesini tahmin etmek i\u00e7in bir dizi yaz\u0131l\u0131m arac\u0131 geli\u015ftirilmi\u015ftir, ancak sadece birka\u00e7\u0131 ger\u00e7ek raf \u00f6mr\u00fc tahminine uygulanabilir.<br \/>\nMikrobiyal dinamiklerin d\u00f6rt yayg\u0131n birinci dereceden modeli vard\u0131r: Do\u011frusal model, Lojistik model, Gompertz modeli ve Baranyi &amp; Roberts modeli. Gompertz modeli, \u00f6ng\u00f6r\u00fcc\u00fc mikrobiyolojinin temel ta\u015f\u0131d\u0131r. ABD Tar\u0131m Bakanl\u0131\u011f\u0131 taraf\u0131ndan geli\u015ftirilen PMP (Patojen Modelleme Program\u0131) sistemi ve \u0130ngiltere Tar\u0131m, G\u0131da ve Bal\u0131k\u00e7\u0131l\u0131k Bakanl\u0131\u011f\u0131 taraf\u0131ndan geli\u015ftirilen Food Micromodel (FM) sisteminin her ikisi de birincil model olarak Gompertz fonksiyonunu kullanmaktad\u0131r.<br \/>\n3. Duyusal \u00d6ng\u00f6r\u00fcl\u00fc raf \u00f6mr\u00fc modelleri Duyusal \u00d6ng\u00f6r\u00fcl\u00fc raf \u00f6mr\u00fc y\u00f6ntemleri 1980'ler ve 1990'lar\u0131n ba\u015flar\u0131nda Taoukis ve arkada\u015flar\u0131 etkili H\u0131zland\u0131r\u0131lm\u0131\u015f raf \u00f6mr\u00fc testi (ASLT) ger\u00e7ekle\u015ftirmek i\u00e7in ilke ve y\u00f6ntemleri tan\u0131mlam\u0131\u015ft\u0131r.<br \/>\nASLT y\u00f6nteminde s\u0131cakl\u0131k, g\u0131da hasar\u0131n\u0131n belirlenmesinde anahtar parametredir, \u00e7\u00fcnk\u00fc s\u0131cakl\u0131k ne kadar y\u00fcksekse g\u0131da hasar\u0131 da o kadar h\u0131zl\u0131 olur.<br \/>\nS\u0131cakl\u0131k ve bozulma oran\u0131 aras\u0131ndaki ili\u015fki Arrhenius denklemi ile ifade edilebilir. Bu ama\u00e7la kullan\u0131labilecek genel olarak iki ana test s\u0131n\u0131f\u0131 vard\u0131r: diferansiyel testler (\u00f6zellikle pin-wise kar\u015f\u0131la\u015ft\u0131rmalar\u0131, ikili \u00fc\u00e7l\u00fc testler - genellikle farkl\u0131l\u0131klardaki varyasyon i\u00e7in kontroll\u00fc testlerde - ve \u00fc\u00e7gen testler) ve uygun \u00f6l\u00e7ekleri (\u00f6zellikler veya baz\u0131 \u00f6zel nitelikler) kullanan testler.<br \/>\n\u015eu anda, yurti\u00e7inde ve yurtd\u0131\u015f\u0131nda yayg\u0131n olarak kullan\u0131lan duyusal raf \u00f6mr\u00fc tahmin y\u00f6ntemi, ASLT ve duyusal y\u00f6ntemlerin prensibini etkili bir \u015fekilde birle\u015ftiren ve iyile\u015ftirmeler yapan pratik bir y\u00f6ntem olan Weibull tehlike analizidir.<br \/>\nWeibull olas\u0131l\u0131k fonksiyonu m\u00fchendislikte ba\u015far\u0131s\u0131zl\u0131k olaylar\u0131n\u0131 tan\u0131mlamak i\u00e7in yayg\u0131n olarak kullan\u0131lmaktad\u0131r ve Gacula ve Kubala taraf\u0131ndan raf \u00f6mr\u00fc testi i\u00e7in \u00f6nerilmi\u015ftir. Y\u00f6ntemin prensibi, \u00fcr\u00fcn\u00fcn t\u00fcketici taraf\u0131ndan reddedilmesiyle yans\u0131t\u0131lan k\u00fcm\u00fclatif zarar oran\u0131 ve depolama s\u00fcresi aras\u0131ndaki ili\u015fkinin a\u015fa\u011f\u0131daki gibi olmas\u0131d\u0131r: lgt=lgH\/\u03b2+ LG-\u03b1 : t yeni bozulmu\u015f g\u0131dan\u0131n ke\u015ffedilme zaman\u0131 \/d; H k\u00fcm\u00fclatif risk oran\u0131 \/%; \u03b1 \u00f6l\u00e7ek Weibull da\u011f\u0131l\u0131m parametresi; Beta \u015fekil Weibull da\u011f\u0131l\u0131m parametresidir.<br \/>\nWahyuni ve arkada\u015flar\u0131, Arrhenius modeli ile birle\u015ftirilmi\u015f h\u0131zland\u0131r\u0131lm\u0131\u015f raf \u00f6mr\u00fc testi (ASLT) y\u00f6ntemini benimseyerek browni keklerin raf \u00f6mr\u00fcn\u00fcn tahminini \u00e7al\u0131\u015fm\u0131\u015flard\u0131r.<br \/>\nBu \u00e7al\u0131\u015fmada, 20\u00b0C, 30\u00b0C ve 40\u00b0C olmak \u00fczere \u00fc\u00e7 depolama s\u0131cakl\u0131\u011f\u0131 de\u011fi\u015fimi kullan\u0131lm\u0131\u015f ve izleme i\u00e7in de\u011fi\u015fim indeksi olarak tiyobarbit\u00fcrik asit (TBA) se\u00e7ilmi\u015ftir.<br \/>\nKetaren'in ara\u015ft\u0131rmas\u0131na g\u00f6re, depolama s\u0131ras\u0131nda ya\u011f gibi besin maddelerinde meydana gelen de\u011fi\u015fiklikler g\u0131da ac\u0131la\u015fmas\u0131na neden olur ve oksidasyon \u00fcr\u00fcnleri aldehitler TBA ile renkli bile\u015fikler olu\u015fturabilir. TBA de\u011feri oksidasyon derecesini belirtmek i\u00e7in kullan\u0131l\u0131r ve TBA miktar\u0131 ya\u011f hasar\u0131n\u0131n derecesini belirlemede en \u00f6nemli fakt\u00f6rd\u00fcr.<br \/>\nDeneysel sonu\u00e7lar, TBA de\u011ferinin depolama s\u0131cakl\u0131\u011f\u0131n\u0131n artmas\u0131yla artt\u0131\u011f\u0131n\u0131 ve brownie'nin depolama \u00f6mr\u00fcn\u00fcn Arrhenius denklemi ile tahmin edildi\u011fini, yani s\u0131cakl\u0131k art\u0131\u015f\u0131yla (20 \u2103, 30 \u2103, 40 \u2103), \u00fcr\u00fcn\u00fcn raf \u00f6mr\u00fcn\u00fcn s\u0131ras\u0131yla 1.57, 4.9 ve 14 g\u00fcn oldu\u011funu g\u00f6stermi\u015ftir.<br \/>\nNashi ve arkada\u015flar\u0131, anl\u0131k ultra y\u00fcksek s\u0131cakl\u0131k i\u015fleminden sonra yulaf taneli i\u00e7eceklerin lezzet \u00f6zellikleri \u00fczerine bir raf \u00f6mr\u00fc \u00e7al\u0131\u015fmas\u0131 y\u00fcr\u00fctm\u00fc\u015f ve de\u011ferlendirme indeksleri aras\u0131nda olumsuz lezzet kar\u0131\u015f\u0131m\u0131, n-heksal ve PVG yer alm\u0131\u015ft\u0131r. De\u011ferlendirme y\u00f6ntemi olarak aroma maddesi kromatografisi kullan\u0131lm\u0131\u015f ve aroma kabul edilebilirli\u011fini puanlamak i\u00e7in bir duyusal de\u011ferlendirme ekibi kurulmu\u015ftur. Deneysel sonu\u00e7lar, n-hekzal i\u00e7eri\u011fi ba\u015flang\u0131\u00e7 de\u011ferinden 3-5 kat daha y\u00fcksek oldu\u011funda, yulafl\u0131 tah\u0131l i\u00e7ece\u011finin lezzet kalitesinin artt\u0131\u011f\u0131n\u0131 g\u00f6stermi\u015ftir. Yulafl\u0131 tah\u0131l i\u00e7ece\u011fi aromas\u0131 kabul edilemez.<br \/>\nHU ve arkada\u015flar\u0131, depolama s\u0131ras\u0131nda kitosan ile g\u00f6m\u00fclen yumurtalar\u0131n kalite de\u011fi\u015fikliklerini ve raf \u00f6mr\u00fcn\u00fc incelemi\u015f ve s\u0131ras\u0131yla 5 \u2103, 20 \u2103 ve 35 \u2103'de depolama s\u0131ras\u0131nda g\u00f6m\u00fclen yumurtalar\u0131n kalite de\u011fi\u015fikliklerini \u00f6l\u00e7m\u00fc\u015ft\u00fcr. Arrhenius denklemine dayal\u0131 bir raf \u00f6mr\u00fc tahmin modeli olu\u015fturmak i\u00e7in Hough de\u011feri, yo\u011funluk ve hazne \u00e7ap\u0131n\u0131n y\u00fczde art\u0131\u015f\u0131n\u0131n Pearson korelasyon katsay\u0131s\u0131 analiz edilmi\u015ftir.<br \/>\nSonu\u00e7lar, depolama s\u00fcresinin uzamas\u0131yla birlikte yumurta kalitesinin azald\u0131\u011f\u0131n\u0131 g\u00f6stermi\u015ftir. D\u00fc\u015f\u00fck s\u0131cakl\u0131ktaki (5 \u2103) depolama ortam\u0131na k\u0131yasla y\u00fcksek s\u0131cakl\u0131ktaki (20 \u2103 ve 35 \u2103) depolama ortam\u0131n\u0131n kalite bozulmas\u0131 \u00fczerinde \u00f6nemli bir etkisi vard\u0131r. Yumurta sar\u0131s\u0131 kalitesi ile Hough birimi aras\u0131ndaki korelasyon katsay\u0131s\u0131 en y\u00fcksektir ve raf \u00f6mr\u00fcn\u00fc tahmin etmek i\u00e7in \u00f6nemli bir indeks olarak kullan\u0131labilir. Yumurta kalitesinin de\u011fi\u015fim yasas\u0131na g\u00f6re, yumurta sar\u0131s\u0131n\u0131n birinci dereceden dinamik modeli olu\u015fturulabilir.<br \/>\nTahmin edilen de\u011fer ile \u00f6l\u00e7\u00fclen de\u011fer aras\u0131ndaki e\u011fri uydurma R2 katsay\u0131s\u0131 0,982 5 ve ortalama ba\u011f\u0131l hata P 9,32% olup 10%'den azd\u0131r. Yumurta sar\u0131s\u0131 kalitesi ve s\u0131cakl\u0131k aras\u0131ndaki dinamik ili\u015fki tan\u0131mlanm\u0131\u015ft\u0131r.<br \/>\nAyn\u0131 zamanda, dinamik modele dayal\u0131 olarak, yumurta sar\u0131s\u0131 katsay\u0131s\u0131na dayal\u0131 kitosan yumurtan\u0131n raf \u00f6mr\u00fc tahmin modeli belirlenmi\u015ftir. Ortalama ba\u011f\u0131l hata 7.6% olup 10%'den daha azd\u0131r ve yumurta sar\u0131s\u0131 kalite de\u011fi\u015fimine dayal\u0131 yumurta raf \u00f6mr\u00fc tahmin modelinin uygulanabilir oldu\u011funu g\u00f6stermektedir.<br \/>\nLiu Hong ve arkada\u015flar\u0131, \u015fu anda \u00c7in'in g\u0131da ve i\u00e7ecek end\u00fcstrisinde raf \u00f6mr\u00fcn\u00fcn belirlenmesinin \u00e7o\u011funlukla referans y\u00f6ntemine, yani ampirik de\u011fer belirlemeye dayand\u0131\u011f\u0131n\u0131 ve bilimsel ve standart test y\u00f6ntemlerinden yoksun oldu\u011funu g\u00f6stermi\u015ftir. Q10 modeli, \u00c7in'de y\u0131k\u0131c\u0131 testlerin h\u0131zland\u0131r\u0131lmas\u0131 i\u00e7in yayg\u0131n olarak kullan\u0131lan bir y\u00f6ntemdir ve esas olarak depolama s\u0131ras\u0131nda s\u0131cakl\u0131\u011f\u0131n \u00fcr\u00fcn kalitesi \u00fczerindeki etkisini inceler.<br \/>\nRen Yani ve arkada\u015flar\u0131 yumu\u015fak ekme\u011fin raf \u00f6mr\u00fcn\u00fc tahmin etmek i\u00e7in ASLT y\u00f6ntemini kullanm\u0131\u015ft\u0131r. Deneysel s\u0131cakl\u0131klar normal s\u0131cakl\u0131k olan 20\u00b0C, 37\u00b0C ve 47\u00b0C'ye ayarlanm\u0131\u015f ve ba\u011f\u0131l nem 60% olarak belirlenmi\u015ftir. Yazarlar, \u00fcr\u00fcnlerin asit de\u011ferini, peroksit de\u011ferini ve mikrobiyal indekslerini (toplam koloni say\u0131s\u0131, k\u00fcf ve Escherichia coli) 37\u00b0C ve 47\u00b0C'de test ederek, duyusal de\u011ferlendirme sonu\u00e7lar\u0131 ve Q10 modeli ile birlikte testlerin sonu\u00e7lar\u0131n\u0131 analiz etmi\u015flerdir. Yumu\u015fak ekme\u011fin raf \u00f6mr\u00fc normal s\u0131cakl\u0131kta depolama ko\u015fullar\u0131nda hesaplanm\u0131\u015ft\u0131r.<br \/>\nSon y\u0131llarda, baz\u0131 kinetik modeller ve mikrobiyal b\u00fcy\u00fcme modelleri \u00c7in'de \u00fcr\u00fcn raf \u00f6mr\u00fc tahminine kademeli olarak uygulanmaktad\u0131r. Hu Yunfeng ve arkada\u015flar\u0131, farkl\u0131 depolama s\u0131cakl\u0131klar\u0131nda taze ve \u0131slak pirin\u00e7 ununun kalite de\u011fi\u015fiminin dinamik modelini incelemi\u015f ve raf \u00f6mr\u00fcn\u00fc tahmin etmek i\u00e7in Arrhenius modelini uygulam\u0131\u015ft\u0131r. Sonu\u00e7lar, taze ve \u0131slak pirin\u00e7 ununun klasik mavi de\u011ferinin uyum katsay\u0131s\u0131n\u0131n y\u00fcksek oldu\u011funu ve tahmin hedefi olarak klasik mavi de\u011fere dayanan modelin k\u00fc\u00e7\u00fck bir ampirik hataya sahip oldu\u011funu g\u00f6stermektedir.<br \/>\nCheng Xiaofeng ve arkada\u015flar\u0131 s\u0131k\u0131\u015ft\u0131r\u0131lm\u0131\u015f bisk\u00fcvilerin raf \u00f6mr\u00fc tahminini incelemi\u015f ve tahmin i\u00e7in Arrhenius modeli ile birle\u015ftirilmi\u015f ASLT y\u00f6ntemini se\u00e7mi\u015ftir. H\u0131zland\u0131r\u0131lm\u0131\u015f depolama s\u0131cakl\u0131\u011f\u0131 ko\u015fulu alt\u0131nda, s\u0131k\u0131\u015ft\u0131r\u0131lm\u0131\u015f bisk\u00fcvilerin asit de\u011ferindeki de\u011fi\u015fim belirlenmi\u015ftir. Asit de\u011ferindeki de\u011fi\u015fimin birinci dereceden kinetik modele uygun olarak belirgin oldu\u011fu g\u00f6r\u00fclm\u00fc\u015ft\u00fcr. S\u0131k\u0131\u015ft\u0131r\u0131lm\u0131\u015f bisk\u00fcvilerin raf \u00f6mr\u00fc tahmin denklemi olu\u015fturuldu ve \u00fcr\u00fcnlerin 45 \u2103'deki raf \u00f6mr\u00fc hesapland\u0131.<br \/>\n\u00c7in'de raf \u00f6mr\u00fc \u00e7al\u0131\u015fmalar\u0131nda kar\u015f\u0131la\u015f\u0131lan sorunlar ve \u00f6neriler<br \/>\n1. Mevcut raf \u00f6mr\u00fc ara\u015ft\u0131rmas\u0131, \u00e7o\u011funlukla haz\u0131r g\u0131dalar olmak \u00fczere az say\u0131da \u00fcr\u00fcn t\u00fcr\u00fcn\u00fc kapsamaktad\u0131r;<br \/>\n2. Mevcut standartlardaki bir\u00e7ok yerli \u00fcr\u00fcn t\u00fcr\u00fc, \u00f6zellikle g\u0131da g\u00fcvenli\u011fi d\u0131\u015f\u0131 g\u00f6stergeler (sa\u011fl\u0131k g\u00f6stergeleri) olmak \u00fczere \u00fcr\u00fcn kalitesi tasar\u0131m\u0131ndan yoksundur, ancak mallar\u0131n fiili dola\u015f\u0131m\u0131nda, \u00fcr\u00fcn kalitesi genellikle g\u0131da g\u00fcvenli\u011fi g\u00f6stergelerinden \u00f6nce de\u011fi\u015fir ve bu da \u00fcr\u00fcn\u00fcn raf \u00f6mr\u00fcn\u00fcn sonunu belirlemenin zor olmas\u0131na neden olur.<br \/>\n\u00d6rne\u011fin, f\u0131nd\u0131k bar \u00fcr\u00fcnlerinin raf \u00f6mr\u00fc deneyini ger\u00e7ekle\u015ftirirken, f\u0131nd\u0131k bar \u00fcr\u00fcnlerinin deney \u015femas\u0131, T\/CNFIA 001-2017 G\u0131da Raf \u00d6mr\u00fc Genel K\u0131lavuzu Ek B'deki s\u0131cakl\u0131k ko\u015fullar\u0131na dayal\u0131 raf \u00f6mr\u00fc stabilitesi deney \u015femas\u0131na at\u0131fta bulunularak tasarlanm\u0131\u015ft\u0131r. Referans verilere g\u00f6re h\u0131zland\u0131r\u0131lm\u0131\u015f deney, oda s\u0131cakl\u0131\u011f\u0131 numuneleri (25 \u2103), h\u0131zland\u0131r\u0131lm\u0131\u015f numuneler (35 ve 45 \u2103 depolama ko\u015fullar\u0131, 75%RH) ve kontrol numuneleri (4 \u2103 depolama ko\u015fullar\u0131) kullan\u0131larak Q10=4'e g\u00f6re tasarlanm\u0131\u015ft\u0131r. \u00dcr\u00fcn, GB 7099-2015 \"G\u0131da G\u00fcvenli\u011fi Ulusal Standart pasta ve ekmek\" standard\u0131n\u0131n ilgili gerekliliklerine g\u00f6re ger\u00e7ekle\u015ftirilmi\u015ftir. Fizikokimyasal (asit de\u011feri, peroksit de\u011feri), mikrobiyolojik (toplam koloni say\u0131s\u0131, k\u00fcf say\u0131s\u0131, koliform say\u0131s\u0131), duyusal (fark testi, t\u00fcketici kabul testi) indeksler kar\u015f\u0131la\u015ft\u0131r\u0131lm\u0131\u015f ve de\u011ferlendirilmi\u015ftir.<br \/>\nDeneysel sonu\u00e7lar, 35 \u2103 ve 45 \u2103 h\u0131zland\u0131r\u0131lm\u0131\u015f ko\u015fullar alt\u0131nda, asit de\u011feri ve peroksit de\u011ferinin normal s\u0131cakl\u0131kta depolama g\u00fcnlerinin d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesinden sonraki 320 g\u00fcn i\u00e7inde standart s\u0131n\u0131r de\u011ferini a\u015fmad\u0131\u011f\u0131n\u0131 ve mikrobiyal test sonu\u00e7lar\u0131n\u0131n da standarttaki s\u0131n\u0131r gerekliliklerinden \u00e7ok daha d\u00fc\u015f\u00fck olan nitelikli oldu\u011funu g\u00f6stermi\u015ftir. Bu nedenle, \u00fcr\u00fcn\u00fcn Q10 de\u011feri asit de\u011feri veya peroksit de\u011feri testi ile belirlenemez ve \u00fcr\u00fcn\u00fcn raf \u00f6mr\u00fc asit de\u011feri veya peroksit de\u011feri ile de\u011ferlendirilebilir.<br \/>\n\u00dc\u00e7 noktal\u0131 duyusal de\u011ferlendirme testinin deneysel sonu\u00e7lar\u0131na g\u00f6re, P\u22640,05 g\u00fcven aral\u0131\u011f\u0131nda, 35 \u2103 h\u0131zland\u0131rma ko\u015fulu alt\u0131ndaki \u00fcr\u00fcn, depolama g\u00fcnleri normal s\u0131cakl\u0131kta 270 g\u00fcne ula\u015ft\u0131\u011f\u0131nda kontrol numunesi ile \u00fcr\u00fcn aras\u0131nda en belirgin farka sahipti, ancak kontrol numunesinin \u00f6nemli bir fark\u0131 yoktu ve s\u00fcrekli depolamadaki \u00fcr\u00fcn ile kontrol numunesi aras\u0131ndaki fark geni\u015flemedi. Oda s\u0131cakl\u0131\u011f\u0131nda depolama g\u00fcnleri 45 \u2103 h\u0131zland\u0131r\u0131lm\u0131\u015f ko\u015ful alt\u0131nda 270 g\u00fcne ula\u015ft\u0131\u011f\u0131nda, numune ile kontrol numunesi aras\u0131nda \u00f6nemli bir fark vard\u0131. Bu deneye g\u00f6re, \u00fcr\u00fcn\u00fcn oda s\u0131cakl\u0131\u011f\u0131ndaki raf \u00f6mr\u00fc yakla\u015f\u0131k 270 g\u00fcn (9 ay) olmal\u0131d\u0131r.<br \/>\nDuyusal kabul de\u011ferlendirmesinin sonu\u00e7lar\u0131, 35 \u2103 h\u0131zland\u0131r\u0131lm\u0131\u015f ko\u015ful alt\u0131nda, test s\u00fcresi boyunca (normal s\u0131cakl\u0131kta 320 g\u00fcnl\u00fck depolamaya d\u00f6n\u00fc\u015ft\u00fcr\u00fclm\u00fc\u015f) hi\u00e7bir indeksin minimum kabul gereksinimi olan 3,5 puan\u0131 kar\u015f\u0131layamad\u0131\u011f\u0131n\u0131 g\u00f6stermi\u015ftir. 45 \u2103 h\u0131zlanma ko\u015fulu alt\u0131nda, oda s\u0131cakl\u0131\u011f\u0131nda 450 g\u00fcn depolanan \u00fcr\u00fcnler, yap\u0131\u015fma indeksi d\u0131\u015f\u0131nda minimum kabul gereksinimi olan 3,5 puana ula\u015famaz. Bu deneye g\u00f6re, \u00fcr\u00fcn\u00fcn oda s\u0131cakl\u0131\u011f\u0131ndaki raf \u00f6mr\u00fc yakla\u015f\u0131k 450 g\u00fcn (15 ay) olmal\u0131d\u0131r.<br \/>\n\u00dc\u00e7 farkl\u0131 deneysel y\u00f6ntem tamamen farkl\u0131 raf \u00f6mr\u00fc test sonu\u00e7lar\u0131 elde etmi\u015ftir ve fiziksel ve kimyasal g\u00f6stergeler a\u015f\u0131lmam\u0131\u015f, duyusal kabul edilemez bir puan ortaya \u00e7\u0131km\u0131\u015ft\u0131r.<br \/>\n3. Benzer tah\u0131l \u00fcr\u00fcnleri (pirin\u00e7, eri\u015fte vb.) ve di\u011fer birincil i\u015flenmi\u015f tar\u0131m \u00fcr\u00fcnleri i\u00e7in, ara \u00fcr\u00fcnlerin kalite bozulmas\u0131na ili\u015fkin g\u00f6sterge niteli\u011finde g\u00f6stergelerin (fiziksel ve kimyasal, mikrobiyal) veya g\u00f6sterge niteli\u011finde g\u00f6stergelerin (ya\u011f asidi de\u011feri gibi) bulunmamas\u0131 nedeniyle \u00fcr\u00fcn\u00fcn raf \u00f6mr\u00fc zay\u0131ft\u0131r.<br \/>\nYukar\u0131daki sorunlar ve bir\u00e7ok yerli g\u0131da kategorisi g\u00f6z \u00f6n\u00fcne al\u0131nd\u0131\u011f\u0131nda, raf \u00f6mr\u00fc test s\u00fcresi uzundur ve farkl\u0131 g\u0131da kategorilerinin raf \u00f6mr\u00fc tahmin verileri g\u00fc\u00e7l\u00fc de\u011fildir. Farkl\u0131 g\u0131da ve birincil i\u015flenmi\u015f tar\u0131m \u00fcr\u00fcnlerinin raf \u00f6mr\u00fc tahminine ili\u015fkin ara\u015ft\u0131rmalar\u0131n art\u0131r\u0131lmas\u0131, ilgili kalite bozulma g\u00f6stergelerine ili\u015fkin ara\u015ft\u0131rmalar\u0131n g\u00fc\u00e7lendirilmesi ve raf \u00f6mr\u00fc tahmin verilerinin istikrar\u0131n\u0131n ve referans al\u0131nabilirli\u011finin iyile\u015ftirilmesi \u00f6nerilmektedir. Ayn\u0131 zamanda, ASLT modeli ile birlikte, Q10 \u00e7oklu s\u0131cakl\u0131k testi ile elde edildikten sonra raf \u00f6mr\u00fc \u00f6l\u00e7\u00fcl\u00fcr ve raf \u00f6mr\u00fc tahmininin do\u011frulu\u011fu art\u0131r\u0131l\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"<p>G\u0131da raf \u00f6mr\u00fc tahmininin yayg\u0131n modelleri ve uygulama durumlar\u0131 nelerdir? G\u0131dan\u0131n raf \u00f6mr\u00fc sadece t\u00fcketicilerin duyusal zevkini etkilemekle kalmaz, ayn\u0131 zamanda t\u00fcketicilerin sa\u011fl\u0131\u011f\u0131 ve g\u00fcvenli\u011fi ile de ilgilidir ve g\u0131da \u00fcreticilerinin itibar\u0131, markas\u0131 ve ekonomik faydalar\u0131 ile ilgilidir. Raf \u00f6mr\u00fcn\u00fcn do\u011fru bir \u015fekilde tahmin edilmesi ve hesaplanmas\u0131 [...]<\/p>","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What are the common models and application cases of food shelf life prediction? - China Chemical Manufacturer<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/longchangextracts.com\/tr\/food-shelf-life-prediction\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What are the common models and application cases of food shelf life prediction? - China Chemical Manufacturer\" \/>\n<meta property=\"og:description\" content=\"What are the common models and application cases of food shelf life prediction? 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