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Business

Business & Education Professional Development

Do Scientists Really Need Another Twitter?

| James Strachan | 2 min read

Are global communications platforms like X a net positive for scientists?

Fields & Applications Environmental

Musings from The Power List: Emma Schymanski

| 6 min read

Emma Schymanski shares her insights on prioritizing actions in a chemically complex world

Business & Education Business

Demystifying PFAS Testing

| Tarun Anumol | 7 min read

Here’s how to stay up to date with evolving PFAS regulations and analytical developments

Techniques & Tools Data Analysis

LIMS: Don’t Chance Your Arm

| Tareq Al-Najjar | 6 min read

With Battery Passport regulations on the horizon and supply chain traceability fast becoming a priority for manufacturers, is LIMS essential?

Fields & Applications Environmental

Three Innovation Lessons Learned: With Michael Gonsior

| Michael Gonsior | 4 min read

What lessons can environmental science take from astrophysics and microbiology to break down silos and create a more open, fast-moving culture?

Fields & Applications Clinical

Musings from The Power List: Jürgen Popp

| 8 min read

From Raman spectroscopy to personalized therapies: Jürgen Popp shares his vision for the future of optical health

Fields & Applications Clinical

Musings from The Power List: Michal Holčapek

| 4 min read

Learn how lipidomics and AI-driven data analysis could pave the way for early cancer detection and personalized medicine

Business & Education Education

Most Read Articles of 2024

| James Strachan | 3 min read

What were The Analytical Scientist’s most popular online articles in 2024? Here are our top 10 most read…

Business & Education Business

Could AI Ever Replace The Analytical Scientist?

| James Strachan

Working closely with an ever-expanding network of experts helps keep our content relevant. And keeps artificial intelligence at bay, right?!

Techniques & Tools Data Analysis

Green is Digital

| Anne Marie Smith | 4 min read

Software tools can optimize resource management, streamline workflow processes, predict outcomes, and optimize experimental conditions


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