250262 - Contract for Supply, Delivery, Installation & Commissioning of a Surface Plasmon Resonance (SPR) System.

{
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    "name": "Queen\u0027s University Belfast"
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  "date": "2025-10-27T10:26:17Z",
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        "name": "Shauna Ryan"
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    "description": "The Future Medicines Institute (FMI) requires a Surface Plasmon Resonance (SPR) system with advanced capabilities for real-time, label-free analysis of biomolecular interactions.\n(Maximum budget available for Equipment inclusive of 3 years extended warranty \u0026 annual preventative maintenance is is \u00a3330,000).\nThe primary objective of procuring an SPR device is to enhance FMI\u2019s capacity to characterise binding kinetics, affinity, and specificity of biomolecular interactions, thereby strengthening its protein science and drug discovery workflows.\nThe proposed system must:\n\u2022\tProvide precise kinetic and affinity measurements for a wide range of biomolecular interactions, including protein\u2013protein, protein\u2013antibody, and protein\u2013small molecule binding.\n\u2022\tDeliver high sensitivity and reproducibility to ensure reliable and quantitative data across experiments.\n\u2022\tSupport automation and high-throughput analysis, enabling efficient screening of large sample sets.\n\u2022\tInclude robust data analysis software for comprehensive kinetic modelling and data interpretation.\n\u2022\tOffer versatile assay configurations, supporting various experimental formats and immobilisation chemistries.\n\u2022\tIntegrate seamlessly with upstream and downstream workflows, including protein purification and structural analysis.\nThe procurement of a high-performance SPR system directly supports FMI\u2019s broader goals of:\n\u2022\tAccelerating drug discovery through rapid identification and characterisation of therapeutic candidates.\n\u2022\tEnhancing biopharmaceutical research by enabling detailed analysis of binding mechanisms critical to biologics development.\n\u2022\tFacilitating translational research by bridging fundamental molecular interaction studies with clinical and therapeutic applications.\nThis procurement will provide direct benefit to research scientists by:\n\u2022\tReducing manual intervention and experimental variability through automation and streamlined workflows.\n\u2022\tEnhancing data quality with high-resolution detection and advanced signal processing for accurate kinetic profiling.\n\u2022\tPlease note: - The execution of this tender \u0026 contract will be solely dependent on grant funding being received, which is estimated to be confirmed in November 2025. \n\u2022\tNo award will be made, or orders issued until the grant funding has been confirmed. If grant funding is not secured, the market will be notified, and this procurement exercise will be stood down.",
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    "riskDetails": "QUB recognises that certain risks associated with the procurement and operation of an SPR System are not fully quantifiable at the time of tender. These \u2018known unknowns\u2019 include, but are not limited to, supplier failure and switching costs, technology evolution, integration challenges, data security, regulatory changes, user training \u0026 turnover, warranty \u0026 service coverage, supply chain disruptions, and software lifecycle changes, increased value or scope due to demand requirements. Suppliers are expected to identify any foreseeable risks, propose mitigation strategies, and demonstrate flexibility in addressing emerging issues throughout the contract lifecycle.\nWhilst it is not possible at this stage to fully anticipate the nature or extent of future developments or integration requirements, nor to determine their potential impact on contract performance, QUB recognises that such changes may arise over the course of the contract. Accordingly, it is acknowledged that these circumstances may necessitate a modification of the contract to appropriately address and accommodate any emerging risks or requirements.",
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    "title": "250262 - Contract for Supply, Delivery, Installation \u0026 Commissioning of a Surface Plasmon Resonance (SPR) System.",
    "value": {
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