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Acceptable Intake (AI) and Permitted Daily Exposure (PDE) Data Sharing Project for Pharmaceutical Impurities.

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Initiated in 2017 and using Lhasa’s Vitic Nexus platform, the AI/PDE project brings together top pharmaceutical organisations to share and harmonise Acceptable Intake (AI) and Permitted Daily Exposure (PDE) data.

The calculation of compound specific AIs/PDEs are required in regulatory submission under various guidelines including ICH M7 and ICH Q3A/B/C. This process is often time consuming, with the potential for duplicate or non-equivalent assessments across pharmaceutical organisations worldwide.

AI/PDE data sharing can enhance the safety of drug substances and streamline the risk assessment workflow by allowing organisations to rapidly access a harmonised and agreed-upon series of AIs/PDEs for commonly used reagents and solvents.


General Approach


The approach of the consortium is to share and harmonise AI/PDE safety assessment data. The project will include:

  1. Identification of a series of high-value AIs/PDEs for common impurities in APIs.
  2. Generation of a harmonised, industry-accepted approach to safety assessment and AI/PDE derivation.
  3. Storage and retrieval of agreed AI/PDE data from a structure searchable database.



Time & Cost Savings – AI and PDE assessments take time to put together and rarely make use of proprietary data. The sharing of data in this context will save an organisation significant time, effort and money without disclosing sensitive information.

Avoid duplication of effort – As a requirement of regulatory guidelines, all pharmaceutical organisations are required to submit AI and PDE assessments for certain impurities, with the high possibility that organisations are submitting reports for the same compounds. Sharing and harmonising the data in an easily searchable database avoids the need to duplicate work that has already been done.

Standardisation – As different data or safety factors can be applied when generating an AI/PDE, it is plausible that regulators could be presented with inconsistent AI/PDE values for the same chemical. Working collaboratively to harmonise the AI/PDE data shared will allow for a degree of consistency in regulatory submission.  


Why choose Lhasa?

Lhasa Limited - an honest broker and trusted holder of data

Lhasa is a not-for-profit organisation and we believe that shared knowledge can lead to shared progress. Recognised as the original honest broker, Lhasa Limited has repeatedly been trusted with proprietary data and this can be seen with our involvement in other collaborative data sharing projects. These include:

  • Aromatic Amines - Aims to improve the understanding and predictability of the Ames test outcome for primary aromatic amines. 
  • Elemental Impurities - Shares analytical data on the levels of trace metals within batches of excipients and aims to increase understanding of the level of risk posed by elemental impurities.
  • iPiE - Aims to develop frameworks to support the environmental testing of new pharmaceuticals and to help prioritise testing of legacy APIs.
  • Vitic Excipients - Shares data on the effects of pharmaceutical excipients and aims to refine experiments and contribute towards a reduction of animal numbers required for testing.
  • Vitic Intermediates - Shares data resulting from Ames mutagenicity assays performed on common Intermediates and compounds containing functional groups of interest.


Get involved

To find out more about data sharing opportunities at Lhasa Limited, please get in touch.




© 2017 Lhasa Limited | Registered office: Granary Wharf House, 2 Canal Wharf, Leeds, LS11 5PS, UK Tel: +44 (0)113 394 6020
VAT number 396 8737 77 | Lhasa Limited is registered as a charity (290866)| Company Registration Number 01765239 (England and Wales).

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