Literature DB >> 15862659

Validation in pharmaceutical analysis. Part II: Central importance of precision to establish acceptance criteria and for verifying and improving the quality of analytical data.

Joachim Ermer1, Hans-Joachim Ploss.   

Abstract

Validation of analytical procedures is a vital aspect not just for regulatory purposes, but also for their efficient and reliable long-term application. In order to address the performance of the analytical procedure adequately, the analyst is responsible to identify the relevant parameters, to design the experimental validation studies accordingly and to define appropriate acceptance criteria. Establishing an acceptable analytical variability for the given application is of central importance as many other acceptance criteria can be derived from such a precision. Acceptable precision ranges for types of control tests and/or analytes can be obtained from validation, but also related activities such as transfer, control charts, or extracted from routine applications such as batch release or stability studies (data mining). Apart from compiling a database for general benchmarking, during such an information-building process, the reliability of the analytical variability of the specific procedure is more and more increased. This is important as a reliable target variability facilitates to detect or investigate atypical or out-of specification behaviour of analytical data in a routine application, thus improving the data quality and reliability. According to the life-cycle concept of validation, measures should be taken to maintain and control the validated status of analytical procedures during long-term routine application, such as monitoring relevant performance parameters (system suitability tests), control charts, etc. If the analytical system is demonstrated to be stable, i.e. under statistical control, a major variability contribution in LC originating from the standard preparation and analysis can be reduced. A concept of quantification by pre-determined calibration parameters instead of the classical approach of simultaneous calibration is described.

Mesh:

Year:  2005        PMID: 15862659     DOI: 10.1016/j.jpba.2004.06.018

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  5 in total

1.  Preparation of Drug-Loaded PLGA-PEG Nanoparticles by Membrane-Assisted Nanoprecipitation.

Authors:  Airama Albisa; Emma Piacentini; Victor Sebastian; Manuel Arruebo; Jesus Santamaria; Lidietta Giorno
Journal:  Pharm Res       Date:  2017-03-24       Impact factor: 4.200

2.  Uncertainty estimates of purity measurements based on current information: toward a "live validation" of purity methods.

Authors:  Izydor Apostol; Drew Kelner; Xinzhao Grace Jiang; Gang Huang; Jette Wypych; Xin Zhang; Jessica Gastwirt; Kenneth Chen; Szilan Fodor; Suminda Hapuarachchi; Dave Meriage; Frank Ye; Leszek Poppe; Wojciech Szpankowski
Journal:  Pharm Res       Date:  2012-08-15       Impact factor: 4.200

3.  Validation and uncertainty estimation of an ecofriendly and stability-indicating HPLC method for determination of diltiazem in pharmaceutical preparations.

Authors:  Fahimeh Sadeghi; Latifeh Navidpour; Sima Bayat; Minoo Afshar
Journal:  J Anal Methods Chem       Date:  2013-09-17       Impact factor: 2.193

4.  Validation of a Stability-Indicating RP-HPLC Method for Determination of l-Carnitine in Tablets.

Authors:  Roghaieh Khoshkam; Minoo Afshar
Journal:  Int Sch Res Notices       Date:  2014-10-22

5.  Thermodynamics of clay-drug complex dispersions: Isothermal titration calorimetry and high-performance liquid chromatography.

Authors:  Ana-Maria Totea; Juan Sabin; Irina Dorin; Karl Hemming; Peter R Laity; Barbara R Conway; Laura Waters; Kofi Asare-Addo
Journal:  J Pharm Anal       Date:  2019-12-05
  5 in total

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