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Laboratory Accreditation
Instrumental Analysis
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Laboratory Operations

This comprehensive course for laboratory management systems provides you with practical training to help you ensure that your laboratories meet quality management system requirements and demonstrate the required levels of technical competency.

This course gives participants the opportunity to develop professional skills for career enhancement, while helping their organization to gain a competitive advantage through meeting and exceeding customer requirements.

ISO/IEC 17025, ‘General requirements for the competence of testing and calibration laboratories’ is the current international standard for the accreditation of testing and calibration laboratories. The standard provides an internationally recognised basis for laboratories to ensure and demonstrate the quality of their results. For laboratories to implement the standard effectively, staff need to have an understanding of the need for accreditation and of the main requirements of the standard.

This training provides an introduction to Laboratory Management Systems (LMS) based on the principles of ISO/IEC 17025. We help you understand the quality management system requirements that are relevant for testing and calibration services and technical competence.
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The data generated using analytical methods is essential for many of the critical decisions made in the chemical industry. To be confident in the reliability of this data it is crucial that the methods are fit for purpose. Analytical method validation is the process of demonstrating that a method is suitable for its intended use. This course provides a detailed explanation of how analytical methods are validated, enabling a full understanding of method performance characteristics and associated statistics, and how they are applied to the techniques used for analysing drug related samples.

The approach of this course is to focus on the principles of validation thereby enabling the application to different types of samples and analytical techniques. Case studies are employed to enable the application to real life scenarios.

This course is ideal for anyone who needs to understand how methods are validated, either to design and carry out the investigation or to interpret the data generated. The course also provides a practical approach to evaluating uncertainty in testing laboratories which is in line with the ISO principles for uncertainty estimation and current accreditation requirements. Utmost importance is given to the quality assurance of laboratory data generated during the daily operation of the laboratory.

Method validation is the process that provides evidence that a test method is capable of providing data that are suitable for a particular application. It is a requirement of the ISO/IEC 17025 laboratory accreditation standard and many other sectoral regulations and directives.

Method validation should always be a planned activity.

The evaluation of the uncertainty associated with measurement results is a requirement for testing laboratories accredited to ISO/IEC 17025.

Knowledge of the uncertainty associated with measurement results allows a judgement to be made as to whether the data are likely to be ‘fit for purpose’. If comparisons of results are being made, for example when determining whether a limit has been exceeded, a meaningful interpretation of the results can only be achieved if the uncertainty is known.
This interactive course is designed to develop the delegates’ skills in quality assurance and control and give them the best practices they require to implement different types of quality programs, including Total Quality Management (TQM), within their organization. Quality assurance and control are integral components of a quality management system that ensures that the product or service being delivered meets the customer’s expectations.

Quality assurance of laboratory data provides guidance on principles, methods, and best practices for laboratories to strive for accurate results and excellence in everything they do. Laboratory quality management is a leadership practice that has a positive impact on the entire organization. Effective laboratory leaders build a solid foundation that allows them to develop truly committed analysts with high morale and improved performance, providing analysts with opportunities for problem solving and teamwork.

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Ensuring the quality of analytical data is a vital aspect of the work of an analytical scientist. The effective planning of experiments and evaluation of data requires an understanding of statistics. Knowledge of statistics is also needed to carry out method validation and evaluate measurement uncertainty.
Data analysis is often facilitated by using Excel. Excel may be used to carry out the statistical analysis of data, automate the production of results and aid data trackability. The effective use of Excel for the evaluation of data requires an understanding of its functions and the correct use of statistics.
 
This course is aimed at analysts and covers the statistics most commonly applied to analytical data as well as the main Excel functions commonly applied to data analysis. The course includes hands-on workshops using laptops to facilitate the application of theory.

Topic areas to be discussed include, but are not limited to:
  • Basic statistical terminology including simple statistics as well as geometric (e.g. means, standard deviations) transformations needed to effectively communicate and understand your data results
  • The statistical testing (one sided, two sided, nonparametric, sample size, and power considerations) essentials required to initiate a research investigation (i.e., research questions in statistical terms)
  • Concepts of Accuracy (Trueness and Precision) in measurement analysis to ensure appropriate conclusions in experimental results including between and within laboratory variation results
  • Discussion of statistical techniques to compare experimental approaches with respect to specificity, sensitivity and linearity
  • Association studies including correlation and regression analysis with laboratory applications
  • Analysis of robustness and ruggedness
  • Method comparison using more accurate alternatives to correlate analysis and other pair-wise comparisons
  • Outliers, limit of detection and limit of quantitation
  • Statistical quality control for process stability and capability
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ISO/IEC 17025 and Quality Management System Standards require the establishment of an effective system for the control of inspection and measuring equipment.
 
Our workshop is designed to provide delegates with the skills necessary to establish systems for the control of inspection and measuring equipment whilst considering their practicality and cost effectiveness. They will learn to develop and document a calibration and measurement assurance program and assess measurement capabilities.


This interactive and practical workshop will provide the latest information, knowledge and skills for identifying the elements of an effective calibration system; understanding the requirements for those supplying calibration services; preparing for compliance and improving and utilising measurement data focusing on continuous improvement and cost reduction
 
This training course covers the integration of the requirements of the laboratory accreditation standard, ISO/IEC 17025 within laboratory business processes and covers the processes involved in undertaking an internal audit.
 
The course is run on an interactive basis and provides an opportunity for delegates to perform an internal audit through role-play.

The course will help you (1) understand how the business processes of your laboratory can be combined effectively with the requirements of ISO/IEC 17025, (2) understand the internal audit process and its value, (3) gain hands-on experience of the auditing process.

This two-day course introduces the fundamentally important concepts associated with GC and HPLC analysis including hardware basics, modes of analysis, basic troubleshooting, column chemistry, principles of ionisation and more.

Basics of the chromatographic process, sample preparation, inlet systems, column and detector selection are important topics covered to give the participant a thorough grounding in the GC/HPLC techniques.

Instrument hardware is also covered with basic troubleshooting and maintenance tips as well as an introduction to chromatographic optimisation.


This comprehensive two-day course is designed to increase expertise and optimise results for all users of ICP-MS and understand sample introduction and optimisation of instrument performance. 



Interactive Training sessions and tutorial exercises are used to re-enforce key learning points. Course delivery can be tailored to suit your application area and maximise course applicability.


The course will provide exposure to the advances in the field of ICP-MS to the experienced analyst and both basics and practical aspects to beginners. Wide coverage is given to fundamental concepts of laboratory operations in a lucid manner so that both the novice and expert will find the program as a useful reference for the day to day laboratory operation.