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JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES

JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES

色譜雜志B-生物醫學和生命科學中的分析技術

期刊周期:Semimonthly
研究方向:醫學
影響因子:2.813
通訊地址:ELSEVIER SCIENCE BV, PO BOX 211, AMSTERDAM, NETHERLANDS, 1000 AE
官網:http://www.elsevier.com/wps/find/journaldescription.cws_home/643040/description#description
投稿地址:http://ees.elsevier.com/chromb/
審稿速度:約2.7個月

  JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES期刊中文簡介

《色譜學雜志B》發表了與生物學和生物醫學研究有關的分離科學發展的論文,包括基本進展和應用。可以考慮的分析技術包括色譜、電泳和相關方法的各個方面、親和力和免疫親和力為基礎的方法、連字符技術和其他多維技術以及微分析方法。該雜志還考慮了報告樣品制備、包括質譜分析在內的檢測技術以及數據處理和分析進展的文章。與分離純化生物系統成分的制備分離相關的進展可能會公布,包括色譜和電泳方法、親和分離、場流分離和其他制備方法。當分析科學包含一個重要的新穎性元素時,將考慮生物系統和樣品分析的應用,例如化合物分離的新方法、分析技術的新組合或顯著改進的分析性能。需要考慮的領域包括:包括蛋白質、單克隆抗體、肽及其翻譯后修飾以及核酸和聚糖在內的生物聚合物的定性和定量分析;利用蛋白質組學、基因組學、代謝組學、脂質組學和其他“組學”方法對生物系統進行比較分析;臨床分析、代謝、治療藥物監測、毒理學分析、興奮劑分析、獸醫應用、生物系統環境污染物分析;體液、組織、細胞、生物基質和系統的篩選和分析、內源性化合物、生物標志物;新生物活性化合物的鑒定。使用已出版的或商業化的分析性或準備性協議而很少或沒有修改的應用,或應用結果而不是分析方法構成手稿新穎性的主要因素的應用,應定向到更專業的期刊。在性能顯著改善的情況下,可以考慮對先前發布的方法進行修改,以便進行簡短的溝通。關于藥物開發早期化合物分析方法的報告往往缺乏普遍興趣,除非作者能夠證明所涉及方法的更廣泛意義,否則不會發表。散裝藥物、天然產品或小分子藥物制劑的質量控制分析不在范圍內。

  JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES期刊英文簡介

The Journal of Chromatography B publishes papers on developments in separation science relevant to biology and biomedical research including both fundamental advances and applications. Analytical techniques which may be considered include the various facets of chromatography, electrophoresis and related methods, affinity and immunoaffinity-based methodologies, hyphenated and other multi-dimensional techniques, and microanalytical approaches. The journal also considers articles reporting developments in sample preparation, detection techniques including mass spectrometry, and data handling and analysis.Developments related to preparative separations for the isolation and purification of components of biological systems may be published, including chromatographic and electrophoretic methods, affinity separations, field flow fractionation and other preparative approaches.Applications to the analysis of biological systems and samples will be considered when the analytical science contains a significant element of novelty, e.g. a new approach to the separation of a compound, novel combination of analytical techniques, or significantly improved analytical performance. Areas to be considered include:The qualitative and quantitative analysis of biopolymers including proteins, monoclonal antibodies, peptides and their post-translational modifications as well as nucleic acids and glycansThe comparative analysis of biological systems using proteomics, genomics, metabolomics, lipidomics and other "omics" approachesClinical analysis, metabolism, therapeutic drug monitoring, toxicological analysis, doping analysis, veterinary applications, analysis of environmental contaminants in biological systemsThe screening and profiling of body fluids, tissues, cells, biological matrices and systems, analysis of endogenous compounds, biomarkersIdentification of new bioactive compoundsApplications which utilize published or commercial analytical or preparative protocols with little or no modification or where the results of the application rather than the analytical methodology comprise the major element of novelty of the manuscript should be directed to more specialized journals. Modifications to a previously published method may be considered for a short communication in cases where the improvement in performance is significant. Reports of analytical methods for compounds in early pharmaceutical development often lack general interest and will not be published unless the authors can demonstrate the broader significance of the methodology involved. Quality control analyses of bulk drugs, natural products or pharmaceutical formulations of small molecules are not within scope.

  JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES近年期刊影響因子趨勢圖

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