Method Development System

Automatic Optimization of Gradient Conditions with AI Algorithm

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LabSolutions MD

提升整體方法開發流程的效率

Method Scouting

LabSolutions™ MD 以 分析品質設計的理念，來提升整體方法開發的效率。這套軟體能透過實驗設計法自動產生分析排程，並利用資料分析功能繪製設計空間與預測層析圖，藉此有效率地建立高可靠性、高穩定性的分析方法。

LabSolutions MD 不僅支援液相層析（LC）偵測器，如 UV 偵測器、PDA 偵測器，也支援單四極桿質譜（LC/MS）偵測器。透過 LC/MS 偵測器優異的定性能力，能更準確地辨識化合物，協助開發出更具可靠性的分析方法。 此外，除了 LC/MS 偵測器外，同時也支持SFC和SFC/LC切換。

LabSolutions MD

 

workflow of AQbD approach

特色

  • 分析方法最佳化
    分析方法最佳化
    智慧化的 DoE 設計(Design of Experiments) 不必跑所有可能的組合（full factorial），就能得到可靠的數據，減少分析次數與數據取得量。
  • 梯度條件的自動最佳化
    梯度條件的自動最佳化
    LabSolutions MD 具備獨家的 AI 演算法，可自動進行梯度條件的最佳化。只要設定分離度的標準，即可自動搜尋符合條件的梯度參數組合。
  • 自動切換管柱與流動相
    自動切換管柱與流動相
    除了可自動切換多種流動相與多支管柱外，流動相混合功能也能自動化配製流動相，減少人工操作。
    LabSolutions MD 與 Nexera 系列及 i-Series 系統相容。
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影片

  • Method development and Identification of Triacylglycerols species with SFC

    • 液相層析儀
    • SFC

    Analyzing Triacylglycerols (TAGs) is essential to evaluate the quality and functionality of oils and fats. Chromatographic separation by typical methods that include GC and HPLC might be challenging due to a large number of TAGs species. Supercritical Fluid Chromatography (SFC) is one chromatography method that uses supercritical fluid (i.e. supercritical carbon dioxide) as a mobile phase. Here, we introduce the workflow of method scouting of SFC using Method Scouting Solutions and how to establish the optimized analytical method for TAGs species in natural oils and fats.

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環境友善永續措舉

  • Good health and well-being

    3 Good health and well-being