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有人知道PARADISe吗

气质联用(GCMS)

  • 看到一篇文章里提到的,应该是一款数据处理软件或仪器自带数据处理系统吧。全网找不到此类信息。GCMS data was processed using PARADISe (PARAFAC2 based Deconvolution and Identification System) to extract deconvoluted peak areas and mass spectra for identification.
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  • GRANT

    第1楼2019/11/12

    应助达人

    PARADISe (PARAFAC2 based Deconvolution and Identification System) --------------
    这个PARADISe 应该是类似于AMDIS 解积卷系统软件的功能的一个软件应用程序

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  • 蓝大熊

    第2楼2019/11/12

    应该是,但是没见过。。

    GRANT(fatinsect) 发表:PARADISe (PARAFAC2 based Deconvolution and Identification System) --------------
    这个PARADISe 应该是类似于AMDIS 解积卷系统软件的功能的一个软件应用程序

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  • GRANT

    第3楼2019/11/12

    应助达人

    看看朱老师有无见过?

    蓝大熊(m3141543) 发表: 应该是,但是没见过。。

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  • symmacros

    第4楼2019/11/12

    应助达人

    Evaluation of gc–MS data may be challenging due to the high complexity of data including overlapped, embedded, retention time shifted and low S/N ratio peaks. In this work, we demonstrate a new approach, PARAFAC2 based Deconvolution and Identification System (PARADISe), for processing raw gc–MS data. PARADISe is a computer platform independent freely available software incorporating a number of newly developed algorithms in a coherent framework. It offers a solution for analysts dealing with complex chromatographic data. It allows extraction of chemical/metabolite information directly from the raw data. Using PARADISe requires only few inputs from the analyst to process gc–MS data and subsequently converts raw netCDF data files into a compiled peak table. Furthermore, the method is generally robust towards minor variations in the input parameters. The method automatically performs peak identification, deconvoluted mass spectra and retention index using integrated NIST search engine and generates an identification report. In this paper, we compare PARADISe with AMDIS and ChromaTOF in terms of peak quantification and show that PARADISe is more robust to user-defined settings and that these are easier (and much fewer) to set. PARADISe is based on non-proprietary scientifically evaluated approaches and we here show that we can handle more overlapping signals, lower signal-to-noise peaks and do so in a manner that requires only about an hours worth of work regardless of the number of samples. We also show that there are no non-detects in PARADISe, meaning that all compounds are quantified in all samples.

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  • symmacros

    第5楼2019/11/12

    应助达人

    http://www.models.life.ku.dk/GCparadise

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  • symmacros

    第6楼2019/11/12

    应助达人

    paradise manual

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  • GRANT

    第7楼2019/11/15

    应助达人

    知识面很广

    symmacros(jimzhu) 发表:paradise manual

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  • symmacros

    第8楼2019/11/16

    应助达人

    似乎国内用的人不多。

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  • 蓝大熊

    第9楼2019/11/19

    多谢朱老师

    symmacros(jimzhu) 发表:paradise manual

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  • symmacros

    第10楼2019/11/19

    应助达人

    如果楼主用了的话,到时候也来分享一下。

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