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XPR automatisk våg

XPR automatisk våg

XPR automatisk våg är en mycket noggrann våg som automatiskt kan dosera pulver och vätskor i en mängd olika behållare. Förmågan att dosera med en USP-minimivikt på 4 mg är oöverträffad av manuella förfaranden. XPR automatisk våg är perfekt för prov- och standardberedning, kapselfyllning samt beredning av lösningar och utspädning. Automatisk dosering ökar användarsäkerheten, sparar tid och minimerar slöseri med dyra och sällsynta ämnen.

1H qNMR Purity Analyses and the Implications of ISO 24583

1H qNMR Purity Analyses and the Implications of ISO 24583

Discover a fast and easy way to test for impurities in your products with 1H qNMR using METTLER TOLEDO’s microbalances.

Safe Powder Dispensing

Safe Powder Dispensing

This note explains how using the XPR Automatic Balance for automated dispensing can reduce exposure risk and provide safety benefits to a researcher.

Full compliance for 21 CFR part 11 and EU Annex 11

Full compliance for 21 CFR part 11 and EU Annex 11

Compliance for 21 CFR of FDA part 11 and EU Annex 11 regulations on electronic record submission is supported by LabX.

Robotic Preparation of Standards for Chromatographic Analysis

Robotic Preparation of Standards for Chromatographic Analysis

This application note presents a fully automated robotic workflow to prepare accurate samples and standards for HPLC and other chromatographic analyse...

How can automated weighing improve peptide sample preparation?

Automated gravimetric dispensing reduces manual handling, improves dosing accuracy, minimizes material loss, supports reproducible peptide preparation workflows, accelerates automated peptide weighing and dosing.

Why are GLP-1 and peptide materials challenging to weigh?

GLP-1 compounds and other peptides are often moisture-sensitive, expensive, and dispensed in very small quantities, requiring highly accurate weighing methods, while maintaining high throughput.

What are the benefits of gravimetric dispensing for peptide research?

Benefits include higher throughput, improved reproducibility, reduced operator variability, better data integrity, and lower material waste.

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