Similar to meaningful population-based metabolome research, also exposomics requires large-scale studies for exposome-wide association studies to draw reliable conclusions. The suggested mean sample size for male fertility was estimated to be 2700 men . Hence, high throughput methods are urgently needed as time is a limiting factor in large-scale epidemiological investigations. In metabolomics, efforts to increase time efficiency are a current priority . For example, the usefulness of a dual column approach to gain more information about the metabolome and lipidome within a short runtime was described by . Nevertheless, micro-and nano-flow LC-MS have increased in popularity due to an increased sensitivity despite longer run times .