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應(yīng)用的篩選條件
本應(yīng)用簡(jiǎn)報(bào)介紹了一種經(jīng)驗(yàn)證的 GC/MS/MS 方法，采用氫氣作為載氣，用于定量分析尿液中的 14 種內(nèi)源性合成類固醇。
創(chuàng)新技術(shù)和新版 MassHunter 軟件平臺(tái)相結(jié)合，使 Agilent 7900 成為更強(qiáng)大、自動(dòng)化程度更高的四極桿 ICP-MS
Agilent MassHunter 軟件專為應(yīng)對(duì)日常挑戰(zhàn)而設(shè)計(jì)，它提供了可定制的特性和功能，可以支持各種應(yīng)用。
用于 LC/Q-TOF 的 Agilent MassHunter Explorer 軟件專為簡(jiǎn)化非靶向數(shù)據(jù)分析而設(shè)計(jì)。這些工具整合在一款易于使用的應(yīng)用程序中，可幫助您快速、可靠地分析數(shù)據(jù)，從而提高研究效率。
無論從哪個(gè)方面，都有“拯救環(huán)境”的工作要做，但從哪里開始呢？對(duì) Imma Ferrer 博士和 Michael Thurman 博士而言，答案就像山澗中流淌的水一樣清晰。
This white paper is a resource for users of Agilent Networked Workstation for GC/MS systems whose organizations must comply with Title 21 CFR Part 11 and Annex 11 compliance.
Analysis of human malodor compounds, volatile organic acids by SPME and column backflushing
LC/MS based characterization workflow of the GLP-1 therapeutic peptide liraglutide and its impurities using the 1290 Infinity II LC and 6545XT AdvanceBio LC/Q-TOF.
Here we present a methodology that provides a spectrally deconvoluted accurate mass assignment for oligonucleotide sequences using an easily accessible unit resolution LC/MS system.
This application note demonstrates a workflow using artificial intelligence (AI) during the data analysis process for phthalates.
This guide provides licensing and installation instructions for MassHunter Explorer.
This workbook provides an introduction to the MassHunter Explorer 1.0 workflow.
MPP is a comprehensive analysis and visualization tool for Mass Spectometry data.
MassHunter VistaFlux software for qualitative flux analysis finds targeted stable isotope labeled metabolites and visualizes results on pathways.
| 韓語 (朝鮮) | 完整版（PDF） |
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This technical overview serves as a comprehensive guide for Agilent GC/MS users conducting phthalate analysis to demonstrate the process of training and utilizing the AI peak integration model effectively.
ASMS 2023 - Streamlining HRMS Data Interpretation for Wastewater Impact on Water Quality?
ASMS 2023 Poster - This method shows ChemVista supports compound and spectral data from the Agilent PCDL format and multiple open-source formats.
ASMS 2023 - Automating GC/MS peak integration using Machine Learning Modelling for maximizing throughput, quality and enhancing consistency.
ASMS 2023 - We present the development of a new user-generated, E/L application-focused database that greatly expands the commercial Agilent E/L database (released in 2018 with 1003 compounds) to well over 5000 compounds.