Latest Listicles

Gas chromatography (GC) is a technique that enables the separation of compounds of interest present in a gaseous or vaporized sample. Download this listicle to learn about various types of detectors including flame ionization detectors, electron capture detectors and thermal conductivity detectors.

Due to its broad-based applicability to detect compounds with a wide range of masses, along with its high sensitivity, mass spectrometry (MS) has been used extensively in a range of omics analyses and applications. In this listicle, we explore the use of MS-based data in a variety of clinical omics settings.

With growing concerns over a multitude of food risks, accurate and sensitive analytical tools are needed to ensure food safety. Liquid chromatography-mass spectrometry (LC-MS) has become an indispensable method for food safety testing and quality control, capable of detecting and quantifying even trace amounts of numerous contaminants and harmful species in food.

A number of pollutants found in the air we breathe are known to have harmful effects on human health and the environment. Consequently, correct monitoring of air quality is of great importance.

Since the earliest microscopy efforts in the 1600s, cell imaging has significantly modernized and become a ubiquitous tool in cell biology laboratories. Here, we cover five key advances in cell microscopy to help you understand how the field is progressing.

Microbes have many beneficial properties and for many years, humans, animals and plants have exploited them for their own benefit. We discuss some of the many and varied uses to which microbes are being applied.

Download this listicle to learn about the importance of data integrity in research, data integrity in the digital age and improving data integrity.

Download this listicle to learn about the importance of reproducibility, why problems in reproducibility persist and steps you can take to improve reproducibility.

Download this listicle to learn about the wine analysis techniques used in the vineyard, after harvest, for contaminant detection and to determine authenticity.

This listicle explores data-dependent acquisition (DDA) and data-independent acquisition (DIA) approaches in proteomic analysis, including their characteristics, advantages and disadvantages.