Validation of Pharmaceutical Water Systems

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Thorough and proper validation of pharmaceutical water systems is highly essential for ensuring that the pharmaceutical unit uses the right quality of water. This is very important, because water is not only the source of life for humans; it enjoys the same importance in pharmaceuticals.

A very important reason for which validation of pharmaceutical water systems is necessary is that water is not only the most widely used raw material or substance in pharmaceuticals; it is also put to a number of uses in the pharmaceutical industry, such as Quality Control, process, production and formulation. Further, water comes with its own set of unique chemical properties that are obtained because of the hydrogen bonds present in it and its polarity. This makes water versatile, since it allows the dissolution, absorption, adsorption or suspension of various different compounds.

Process for pharmaceutical water systems validationvalidation-of-pharmaceutical-water-systems

Validation of pharmaceutical water systems is carried out in three phases:

Phase I, which is the investigational phase

Phase II, the short term control phase, and

Phase III, which is the long-term control phase

Pharmaceutical water systems are validated through these three steps or stages to demonstrate and ensure that the facility using pharmaceutical water systems has water under its control and is on the right track for production of the right quality and quantity of water in the short, medium and long terms.

Validation through commissioning and qualificationPharmaceutical water systems validation is carried out through two important steps, namely commissioning and qualification. Commissioning is about putting the validation of pharmaceutical water systems through the required phases using the prerequisite methods of documentation. This documentation is a core part of pharmaceutical water systems validation because it allows for different personnel in the organization to not only keep track of the processes involved, but also make changes when necessary.

Qualification as part of pharmaceutical water systems validationQualification is the next important stage of pharmaceutical water systems validation. Here, before a pharmaceutical water systems validation process is started, the pharmaceutical facility should implement the following important steps:

  • Design qualification (DQ)
  • Installation qualification (IQ) and
  • Operational qualification (OQ)

Phase I:In Phase I, the pharmaceuticals facility samples and tests water sampling for anywhere between two and four weeks for monitoring the water system. If the water system is free of failure during this phase, it is considered a successful phase of pharmaceutical water systems validation.

Phase II:In this phase of pharmaceutical water systems validation too, the water system sample is tested intensively for two to four weeks, during which the water sample should show that it is producing the right quantity of water under conditions of stated SOP.

Phase III:Phase III of pharmaceutical water systems validation is the longest and most arduous period, running to one year after completion of Phase I and Phase II. When the water sample passes through this phase, it is said to have completed the process of pharmaceutical water systems validation and is considered fit for pharmaceutical use.

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Applied statistics for scientists and engineers

Applied statistics for scientists and engineers is necessary for a number of reasons. 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries specify the application of statistical methods for these functions:

o  Setting validation criteria and specifications

o  Performing Measurement Systems Analysis (MSA)

o  Conducting stability analysis

o  Using Design of Experiment (DOE) for process development and validation

o  Developing process control charts, and

o  Determining process capability indices.

Since scientists and engineers are at the heart of these functions, they need to have a thorough knowledge of how to use applied statistics. Each of these particular applications requires different and specified statistical methods. The common tools used for setting acceptance criteria and specifications are data and tolerance intervals, while for setting expiries and conducting stability analysis studies; simple linear regression and analysis-of-covariance (ANCOVA) are used.

For analyzing designed experiment for process development and validation studies, two-sample hypothesis tests, analysis-of-variance (ANOVA), regression, and ANCOVA are methods used, while for developing process control charts and developing process capability indices; descriptive statistics (distribution, summary statistics), run charts, and probability (distributions) are used.

Explaining the importance of applied statistics for scientists and engineers

A seminar that is being organized by GlobalCompliancePanel, a leading provider of professional trainings for the areas of regulatory compliance, will explain the importance of applied statistics for scientists and engineers.

In the course of making the importance of applied statistics for scientists and engineers known; the Director at this seminar, Heath Rushing, who is the cofounder of Adsurgo and author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP, and has been an invited speaker on applicability of statistics for national and international conferences, will provide instruction on applied statistics for scientists and engineers and statistical methods for data analysis of applications related to the pharmaceutical, biopharmaceutical, and medical device industries.

To enroll for this highly valuable and practical course on applied statistics for scientists and engineers, just register by visiting http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900790?wordpress_SEO .

The course “Applied Statistics for Scientists and Engineers” has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

The tools that help an understanding of applied statistics for scientists and engineers

This course on applied statistics for scientists and engineers will offer thorough instruction on how scientists and engineers need to apply the appropriate statistical approaches: descriptive statistics, data intervals, hypothesis testing, ANOVA, regression, ANCOVA, and model building. The Director will present the ways of establishing competence in each of these areas and industry-specific applications.

The application of statistical methods across the product quality lifecycle is specified in the 21 CFR and guidance documents for the pharmaceutical, biopharmaceutical, and medical device industries. There are many statistical methods that may be applied to satisfy this portion of the QSR. Yet, some commonly accepted methods can and should be used by all companies to:

o  Develop acceptance criteria

o  Ensure accurate and precise measurement systems

o  Fully characterize manufacturing processes

o  Monitor and control process results and

o  To select an appropriate number of samples.

At this seminar on applied statistics for scientists and engineers, Rushing will provide instruction on all these. He will cover the following areas over the two days of this seminar:

o  Describe and analyze the distribution of data

o  Develop summary statistics

o  Generate and analyze statistical intervals and hypothesis tests to make data-driven decisions

o  Describe the relationship between and among two or more factors or responses

o  Understand issues related to sampling and calculate appropriate sample sizes

o  Use statistical intervals to setting specifications/develop acceptance criteria

o  Use Measurement Systems Analysis (MSA) to estimate variance associated with: repeatability, intermediate precision, and reproducibility

o  Ensure your process is in (statistical) control and capable