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関連する概念動画

Bioequivalence: Overview01:16

Bioequivalence: Overview

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Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
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Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

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Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
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Compartment Models: Single-Compartment Model01:14

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The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
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Drug Regulation01:25

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Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
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薬の開発と製造のためのシミュレーションベースのコンテンツ統一工学

Kevin T Chu1, Remus Osan2, Nicole Tin2

  • 1Velexi Corporation, Burlingame, CA 94010, USA.

International journal of pharmaceutics
|September 3, 2025
PubMed
まとめ
この要約は機械生成です。

ストキャスティックモデルとモンテカルロシミュレーションでは,内容の均一性 (CU) のリスクを評価します. この研究は,プロセス化学者に粒子サイズ分布 (PSD) を設計し,医薬品製造におけるCUリスクを管理するためのツールを提供します.

キーワード:
内容の統一性モンテカルロシミュレーション粒子の大きさの分布

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科学分野:

  • 医薬品科学
  • コンピュータ化学
  • プロセスエンジニアリング

背景:

  • ストキャスティックモデルとモンテカルロ (MC) シミュレーションは,医薬品製造における内容均一性 (CU) リスクの評価に不可欠であり,広範な実験の必要性を軽減します.
  • これらのシミュレーションの正確さと適切な適用は,運用作業の流れにおけるその有用性にとって極めて重要です.

研究 の 目的:

  • 薬剤活性成分 (API) の粒子のサイズ分布 (PSD) に基づく投与レジムの定量的な特徴化のための錠剤形成のストキャスティックモデルを分析し,早期のCUリスクガイドラインを提供すること.
  • 製造プロセスと安全限界を考慮してMCシミュレーションにおける上部粒子の切断直径の重要性を検証する.
  • PSDエンジニアリングとCUリスク評価のためのシミュレーションベースのツールを実証し,一般的な医薬品開発ワークフローに統合します.

主な方法:

  • API PSDに関連した量的な用量管理の特徴を導き出すために,ストカスティックな錠剤形成モデルの分析.
  • 粒子のサイズカットオフの影響を評価するためのストキャスティックタブレット形成モデルのモンテカルロ (MC) シミュレーション.
  • PSDエンジニアリングとCUリスク評価のためのプロセス化学者と製剤のためのシミュレーションベースのツールの開発.

主要な成果:

  • API PSDに基づく用量管理の定量的な特徴が開発され,早期のUCリスク指標が提供されました.
  • MCシミュレーションで適切な上部粒子の切断直径を選択することの重要性,製造プロセスと安全性の考慮を組み込むことが検証されました.
  • 初期段階のPSD目標指針,米国薬典 (USP) <905>の合格率の予測,低リスクのAPIPSDパラメータと用量強度の特定のためのシミュレーションベースのツールが実証されました.

結論:

  • ストキャスティックモデルとMCシミュレーションは,医薬品開発におけるCUリスクの評価と管理のための強力で検証されたツールを提供します.
  • シミュレーションベースのアプローチは,積極的なPSDエンジニアリングとリスク評価を可能にし,医薬品製造プロセスを最適化します.
  • 開発されたツールは,プロセス化学者と製剤メーカーにとって情報に基づいた意思決定を容易にし,薬物製品開発の効率と信頼性を高めます.