How to Improve Sample Preparation Accuracy, Reproducibility, and Lab-to-Lab Variation with Automation

Article

The Column

ColumnThe Column-05-17-2013
Volume 9
Issue 9

By implementing automation, a laboratory can instantly increase throughput, improve accuracy, reproducibility, and lab-to-lab consistency.

Sample preparation has historically been a time-consuming challenge in high performance liquid chromatography(HPLC) and gas chromatography (GC) analysis, consisting of up to 60% of total analysis time. Automated platformsare now able to perform sample preparation techniques including solid-phase extraction (SPE) and proteinprecipitation. By implementing automation, a laboratory can instantly increase throughput, improve accuracy,reproducibility, and lab-to-lab consistency.

Click here for the full article in The Column

Articles in this issue
Grapes-813514-1408538386875.jpg
Wine aroma markers
Automated MAb Workflow: From Harvest Cell Culture to Intact Mass Analysis of Variants
Automated MAb Workflow: From Harvest Cell Culture to Intact Mass Analysis of Variants
Tomato-813517-1408538382828.jpg
Improving the taste of tomatoes using GC-MS
How to Improve Sample Preparation Accuracy, Reproducibility, and Lab-to-Lab Variation with Automation
How to Improve Sample Preparation Accuracy, Reproducibility, and Lab-to-Lab Variation with Automation
Agilent-Singapore-813513-1408538388489.jpg
Agilent opens Asia Glycomics Education Center
Illegal Migration from Packaging
Illegal Migration from Packaging
Desert Island Data Systems
Desert Island Data Systems
Ice age appetite
Recent Videos
Related Content
Researchers in protective workwear standing in the laboratory and analyzing liquid samples at ion chromatography equipment | Image Credit: © BGStock72 - stock.adobe.com

Monitoring Environmental PFAS Using Combustion Ion Chromatography

Aaron Acevedo
December 2nd 2024
Article

During EAS 2024, Jay Sheffer, a Product Specialist at Metrohm USA, discussed how combustion ion chromatography (CIC) can help address PFAS’ impact on the environment.

Ep. 31: Clarifying the Meaning of Chemometrics, Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks (NNs)

Ep. 31: Clarifying the Meaning of Chemometrics, Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks (NNs)

December 2nd 2024
Podcast
Image | adobe.stock/EKKAPON

AOAC INTERNATIONAL’s ISO 17043 Accreditation Expanded to Cannabis and Hemp Oil Proficiency Testing

Erin McEvoy
December 2nd 2024
Article

Accredited by A2LA, the scope of accreditation to ISO/IEC 17043 now includes six cannabis and hemp oil proficiency testing programs.

Ep. 30: The Potential of Generative Artificial Intelligence as a Research Assistant for Measurement Science

Ep. 30: The Potential of Generative Artificial Intelligence as a Research Assistant for Measurement Science

November 1st 2024
Podcast
RAFA 2024: Rudolf Krska Discusses Quantifying Mycotoxins and Secondary Metabolites in Plants and Foods

RAFA 2024: Rudolf Krska Discusses Quantifying Mycotoxins and Secondary Metabolites in Plants and Foods

Alasdair Matheson
November 29th 2024
Article

As part of our RAFA 2024 coverage, we interviewed Rudolf Krska of BOKU University about his research on food safety, specifically regarding using analytical methods to mycotoxins and other secondary metabolites in plants and foods.

RAFA 2024: Michel Suman Discusses Food Safety And Authenticity Research

RAFA 2024: Michel Suman Discusses Food Safety And Authenticity Research

Alasdair Matheson
November 28th 2024
Article

During RAFA 2024, Michel Suman of Barilla Spa and Catholic University Sacred Heart talked with us about his food safety and authenticity research, focusing on contaminants, adulterants, and authenticity markers in food processing.