Unlocking the full potential of voltammetric data analysis: A novel peak recognition approach for (bio)analytical applications

Bridging the gap between complex signal data output and clear interpretation by non-expert end-users is a major challenge many scientists face when converting their scientific technology into real-life application. Currently, pattern recognition algorithms are most frequently encountered to close this gap, not in least because of straight-forward implementation via convenient software packages. Paradoxically, just so straight-forward, it becomes cumbersome integrate expert's domain-specific knowledge. In work, novel approach presented that uses knowledge as its fundament, thereby fully exploiting unique expertise scientist. The new applies preprocessing an innovative way transcends usual purpose easy translate Multiple case studies illustrate application approach. Ultimately, highly suited for integration various (bio)analytical applications require data.