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Large Sample Capacity, High Throughput Automated Tender - 108127389

The TRINITY COLLEGE DUBLIN THE UNIVERSITY OF DUBLIN_336 has issued a Tender notice for the procurement of a Large Sample Capacity, High Throughput Automated Solid Phase Extraction (Spe) Robotic Sampler Interfaced to a Quadrupole Time of Flight Mass Spectrometer (Lc-Qtof) in the Ireland. This Tender notice was published on 04 Oct 2024 and is scheduled to close on 04 Nov 2024, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 108127389, while the tender notice number is 4426967 and Registering on the platform.

Expired Tender

Procurement Summary

Country: Ireland

Summary: Large Sample Capacity, High Throughput Automated Solid Phase Extraction (Spe) Robotic Sampler Interfaced to a Quadrupole Time of Flight Mass Spectrometer (Lc-Qtof)

Deadline: 04 Nov 2024

Posting Date: 04 Oct 2024

Other Information

Notice Type: Tender

TOT Ref.No.: 108127389

Document Ref. No.: 4426967

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

CPV Classification

38433100 - Mass spectrometer
38433000 - Spectrometers

Purchaser's Detail

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Tender Details

Tenders are sought for the supply, installation, and commissioning of a large sample capacity, high throughput automated solid phase extraction (SPE) robotic sampler interfaced to a Quadrupole Time of Flight mass spectrometer Quadrupole Time-of-Flight (LC-qTOF). The sample preparation MUST be automated, integrated, sequential, online SPE followed couple with online QTOF in order to Integrated sample preparation will maximize throughput, reduce sample loss and streamline unattended operation. The system needs to have the ability to handle 96-well, 384-well or 1536-well plates with storage for over 138, 240 samples. This is because well plates will conform to industry standards and be optimal for high throughput sample analysis and allows for weekend runs. The system MUST be fully controlled by a single PC and have a long proven track record as evidenced by extensive peer reviewed scientific publications.
Procedure : Open

Publication Date : 04/11/2024

Deadline : 04/11/2024 14:00:00

Documents

 Tender Notice


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