{"id":8075,"date":"2024-08-11T18:57:11","date_gmt":"2024-08-11T18:57:11","guid":{"rendered":"https:\/\/longchangextracts.com\/?p=8075"},"modified":"2024-08-11T18:57:11","modified_gmt":"2024-08-11T18:57:11","slug":"natural-product-structures","status":"publish","type":"post","link":"https:\/\/longchangextracts.com\/tr\/natural-product-structures\/","title":{"rendered":"Do\u011fal \u00dcr\u00fcn Yap\u0131lar\u0131n\u0131n \u0130ncelenmesinde K\u00fctle Spektrometresi Molek\u00fcler A\u011flar\u0131n\u0131n Uygulanmas\u0131"},"content":{"rendered":"<p>Do\u011fal \u00dcr\u00fcn Yap\u0131lar\u0131n\u0131n \u0130ncelenmesinde K\u00fctle Spektrometresi Molek\u00fcler A\u011flar\u0131n\u0131n Uygulanmas\u0131<br \/>\nBile\u015fiklerin yap\u0131sal analizi, \u00f6zellikle nadir veya de\u011ferli \u00c7in t\u0131bbi malzemelerinin maddi temelini ortaya \u00e7\u0131karmak i\u00e7in do\u011fal \u00fcr\u00fcnlerin ke\u015ffi i\u00e7in \u00e7ok \u00f6nemlidir. Bununla birlikte, \u00e7ok \u00e7e\u015fitli bile\u015fik yap\u0131lar\u0131n\u0131n analizi, do\u011fal \u00fcr\u00fcnlerin karakterize edilmesindeki en b\u00fcy\u00fck zorluklardan biri olan \u00f6nemli miktarda zaman ve insan g\u00fcc\u00fc gerektirir. Bu nedenle, k\u00fctle spektrometresi molek\u00fcler a\u011f teknolojisi do\u011fal \u00fcr\u00fcnlerin yap\u0131sal ara\u015ft\u0131rmalar\u0131na uygulanmaktad\u0131r.<\/p>\n<p>S\u0131v\u0131 kromatografi tandem k\u00fctle spektrometrisi (LC-MS\/MS) metabolomik alan\u0131nda en yayg\u0131n kullan\u0131lan analitik y\u00f6ntemlerden biridir, ancak bu karma\u015f\u0131k verilerin yorumlanmas\u0131 do\u011fal \u00fcr\u00fcn ara\u015ft\u0131rmalar\u0131nda b\u00fcy\u00fck bir zorluktur. Son y\u0131llarda, molek\u00fcler a\u011flar gibi yeni biyoinformatik y\u00f6ntemlerin ortaya \u00e7\u0131kmas\u0131, karma\u015f\u0131k matrislerde bilinen bile\u015fiklerin tan\u0131nmas\u0131 i\u00e7in yeni fikirler ve perspektifler sa\u011flam\u0131\u015ft\u0131r. K\u00fcresel Do\u011fal \u00dcr\u00fcnler Sosyal Molek\u00fcler A\u011f\u0131 (GNPS), tandem k\u00fctle spektrometresi verilerinin a\u00e7\u0131k bir veritaban\u0131d\u0131r ve \u015fu anda molek\u00fcler a\u011flar\u0131 uygulayabilen ve LC-MS\/MS taraf\u0131ndan olu\u015fturulan veri k\u00fcmelerini analiz edebilen tek halka a\u00e7\u0131k temel platformdur. GNPS'deki molek\u00fcler a\u011flar\u0131n g\u00f6rselle\u015ftirilmesi, her spektrumu bir d\u00fc\u011f\u00fcm olarak temsil eder ve spektrumlar\u0131n spektrumlara g\u00f6re d\u00fczenlenmesi, d\u00fc\u011f\u00fcmler aras\u0131ndaki ba\u011flant\u0131lar\u0131 temsil eder. \u0130lgili molek\u00fcler spektrumlar, GNPS'de \u00e7evrimi\u00e7i molek\u00fcler a\u011flar olarak g\u00f6rselle\u015ftirilebilir. GNPS toplam 235850 spektrum ve 22644 bile\u015fikten olu\u015fmaktad\u0131r. GNPS sadece bilinen bile\u015fiklerin, analoglar\u0131n tan\u0131mlanmas\u0131n\u0131 ve molek\u00fcler a\u011flardaki bile\u015fiklerin otomatik analizini sa\u011flamakla kalmaz, ayn\u0131 zamanda birden fazla kaynaktan ikincil k\u00fctle spektrometresi verilerini \u00e7o\u011faltma, ba\u011flama ve saklama yetene\u011fine de sahiptir.<\/p>\n<p>Molek\u00fcler a\u011f (MN), MS\/MS verilerini d\u00fczenlemek ve g\u00f6rselle\u015ftirmek i\u00e7in kullan\u0131lan bir platformdur. Her k\u00fctle spektrumu bir vekt\u00f6r olarak kabul edilir ve kosin\u00fcs benzerli\u011fi kullan\u0131larak di\u011fer t\u00fcm k\u00fctle spektrumlar\u0131yla kar\u015f\u0131la\u015ft\u0131r\u0131l\u0131r. \u0130ki k\u00fctle spektrumu aras\u0131ndaki benzerlik bir e\u015fi\u011fi a\u015ft\u0131\u011f\u0131nda, bunlar molek\u00fcler a\u011fda birbirine ba\u011flan\u0131r. 2012 y\u0131l\u0131nda Profes\u00f6r Pieter ilk kez molek\u00fcler a\u011f teknolojisini \u00f6nerdi. K\u00fctle spektrometresi molek\u00fcler a\u011f\u0131, \u00e7e\u015fitli do\u011fal \u00fcr\u00fcnlerin analizi i\u00e7in uygun olan tandem k\u00fctle spektrometresi analizine (MS\/MS) dayal\u0131 bir y\u00f6ntemdir. Amac\u0131, bilinen bile\u015fikleri h\u0131zl\u0131 bir \u015fekilde tan\u0131mlamak ve bilinmeyen \u00e7e\u015fitli do\u011fal \u00fcr\u00fcnleri belirlemektir. K\u0131sacas\u0131, bu y\u00f6ntem tandem k\u00fctle spektrometresi verilerinin toplanmas\u0131n\u0131 ve par\u00e7a benzerli\u011fine dayal\u0131 bir a\u011f olu\u015fturulmas\u0131n\u0131 i\u00e7erir. Bu teknoloji do\u011fal \u00fcr\u00fcnler, metabolomik ve ila\u00e7 ke\u015ffi gibi alanlarda yayg\u0131n olarak uygulanmaktad\u0131r.<\/p>\n<p>\u015eu anda, Trivella ve arkada\u015flar\u0131 ile Fox Ramos ve arkada\u015flar\u0131, MN'nin karma\u015f\u0131k kar\u0131\u015f\u0131mlardaki do\u011fal \u00fcr\u00fcnleri h\u0131zl\u0131 bir \u015fekilde tan\u0131mlamak ve yeni do\u011fal \u00fcr\u00fcnlerin ke\u015ffine yard\u0131mc\u0131 olmak i\u00e7in olduk\u00e7a etkili bir ara\u00e7 oldu\u011funun kan\u0131tland\u0131\u011f\u0131n\u0131 bildirmi\u015ftir; Nothias Esposito ve arkada\u015flar\u0131, MN'nin k\u00fctle spektrometrisine dayal\u0131 metabolomiklerde bitkilerde spesifik metabolitlerin olu\u015fumunu karakterize etmek i\u00e7in etkili bir ara\u00e7 oldu\u011funu bildirmi\u015ftir; Kang ve arkada\u015flar\u0131, ikincil metabolitleri benzer k\u00fcmelere s\u0131n\u0131fland\u0131rmak i\u00e7in MN'yi kullanm\u0131\u015f ve bu da do\u011fal \u00fcr\u00fcn ara\u015ft\u0131rmalar\u0131nda hedefleri taramak ve izole etmek i\u00e7in kullan\u0131lm\u0131\u015ft\u0131r; Lei ve ark. MN kullanarak i\u015flenmemi\u015f ve i\u015flenmi\u015f akonit i\u00e7eri\u011findeki farkl\u0131l\u0131klar\u0131 g\u00f6zlemlemi\u015ftir; Ayr\u0131ca Tian ve ark. MN'nin farkl\u0131 \u00e7e\u015fit ve k\u00f6kenlerden gelen \u00e7ay\u0131n kimyasal bile\u015fimindeki farkl\u0131l\u0131klar\u0131 a\u00e7\u0131k\u00e7a g\u00f6zlemleyebildi\u011fini, b\u00f6ylece \u00e7ay\u0131n kalitatif ve kantitatif de\u011ferlendirmesini m\u00fcmk\u00fcn k\u0131ld\u0131\u011f\u0131n\u0131 bildirmi\u015ftir; Fragman iyonlar\u0131n\u0131n t\u00fcrlerini ve fragman iyonlar\u0131n\u0131n g\u00f6receli i\u00e7erik de\u011fi\u015fikliklerini analiz ederek, do\u011fal \u00fcr\u00fcnlerin molek\u00fcler yap\u0131s\u0131ndaki de\u011fi\u015fiklikler ve fonksiyonel gruplar\u0131n\u0131n d\u00f6n\u00fc\u015f\u00fcm\u00fc, do\u011fal \u00fcr\u00fcnlerin \u00fcretilip \u00fcretilmedi\u011fini veya d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcp d\u00f6n\u00fc\u015ft\u00fcr\u00fclmedi\u011fini belirlemek i\u00e7in \u00e7\u0131kar\u0131labilir.<\/p>\n<p>&nbsp;<\/p>\n<p>Ge\u00e7ti\u011fimiz birka\u00e7 y\u0131l i\u00e7inde MN, do\u011fal \u00fcr\u00fcnlerin yap\u0131sal ara\u015ft\u0131rmas\u0131n\u0131 basitle\u015ftirmek i\u00e7in yeni bir ara\u00e7 olarak \u00f6nerilmi\u015f ve do\u011fal \u00fcr\u00fcnlerdeki kimyasal ve aktif bile\u015fenlerin ke\u015ffi, ayr\u0131lmas\u0131, haz\u0131rlanmas\u0131, yap\u0131sal tan\u0131mlanmas\u0131 ve kantitatif analizine ba\u015far\u0131yla uygulanm\u0131\u015ft\u0131r. MN, farmakolojik madde temellerini ve metabolik s\u00fcre\u00e7lerini daha iyi ayd\u0131nlatabilen do\u011fal \u00fcr\u00fcnlerin in vivo bile\u015fimini ve metabolitlerini incelemek i\u00e7in uygundur.<\/p>\n<p>Karakteristik fragman iyonlar\u0131n\u0131 kar\u015f\u0131la\u015ft\u0131rmak ve t\u00fcrlerini ve g\u00f6receli i\u00e7erik de\u011fi\u015fikliklerini analiz etmek i\u00e7in MN kullanarak, do\u011fal \u00fcr\u00fcnlerin biyosentetik yollar\u0131n\u0131 \u00e7\u0131karmak i\u00e7in kullan\u0131labilecek do\u011fal \u00fcr\u00fcnlerin molek\u00fcler yap\u0131 de\u011fi\u015fikliklerini ve fonksiyonel grup d\u00f6n\u00fc\u015f\u00fcmlerini \u00e7\u0131karabiliriz. Bununla birlikte, literat\u00fcr ara\u015ft\u0131rmas\u0131, MN'nin do\u011fal \u00fcr\u00fcn ara\u015ft\u0131rmalar\u0131nda kullan\u0131lmas\u0131 i\u00e7in yeni bir y\u00f6n olabilecek yurti\u00e7i ve yurtd\u0131\u015f\u0131nda \u00e7ok fazla ilgili rapor bulunmad\u0131\u011f\u0131n\u0131 ortaya koymu\u015ftur.<\/p>\n<p>\u00d6zetle, \u015fimdiye kadar MN esas olarak do\u011fal \u00fcr\u00fcnlerin yap\u0131sal tan\u0131mlanmas\u0131nda uygulanm\u0131\u015ft\u0131r. Di\u011fer teknolojilerle birle\u015ftirildi\u011finde, \u00f6zellikle yeni yap\u0131lar\u0131n ve aktif bile\u015fenlerin ke\u015ffi i\u00e7in do\u011fal \u00fcr\u00fcnlerin yap\u0131sal ara\u015ft\u0131rmas\u0131 i\u00e7in verimli ve h\u0131zl\u0131 bir y\u00f6ntemdir. V\u00fccuttaki metabolizma, kantitatif analiz ve biyosentetik yollar \u00fczerine nispeten az ara\u015ft\u0131rma vard\u0131r ve bu, ara\u015ft\u0131rmac\u0131lar\u0131n gelecekte odaklanabilece\u011fi bir y\u00f6nd\u00fcr.<\/p>","protected":false},"excerpt":{"rendered":"<p>Do\u011fal \u00dcr\u00fcn Yap\u0131lar\u0131n\u0131n \u0130ncelenmesinde K\u00fctle Spektrometresi Molek\u00fcler A\u011flar\u0131n\u0131n Uygulanmas\u0131 Bile\u015fiklerin yap\u0131sal analizi, \u00f6zellikle nadir veya de\u011ferli \u00c7in t\u0131bbi malzemelerinin maddi temelini ortaya \u00e7\u0131karmak i\u00e7in do\u011fal \u00fcr\u00fcnlerin ke\u015ffi i\u00e7in \u00e7ok \u00f6nemlidir. Bununla birlikte, \u00e7ok \u00e7e\u015fitli bile\u015fik yap\u0131lar\u0131n\u0131n analizi \u00f6nemli miktarda zaman ve insan g\u00fcc\u00fc gerektirir, [...]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Application of Mass Spectrometry Molecular Networks in the Study of Natural Product Structures - 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\/natural-product-structures\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Application of Mass Spectrometry Molecular Networks in the Study of Natural Product Structures - China Chemical Manufacturer\" \/>\n<meta property=\"og:description\" content=\"Application of Mass Spectrometry Molecular Networks in the Study of Natural Product Structures The structural analysis of compounds is crucial for the discovery of natural products, especially for revealing the material basis of rare or precious Chinese medicinal materials. 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