About

Albert Schulte is a pioneering electroanalytical chemist whose career has been defined by the innovative fusion of robotics, automation, and electrochemical sensing to solve real-world analytical challenges. Best known for developing sophisticated robotic electrochemical platforms, Schulte has systematically advanced high-throughput voltammetric analysis across an impressive range of applications — from environmental monitoring to pharmaceutical science and food chemistry. His most celebrated contributions include the development of automated microtiter plate-based electrochemical systems that enable rapid, reliable detection of trace heavy metals such as lead and cadmium (35 citations), as well as pioneering robotic screening of metalloporphyrin libraries for nitric oxide biosensors (33 citations). Schulte has also made significant strides in food science, crafting automated assays for ascorbic acid quantification (28 citations) and free radical scavenger screening in dietary samples (25 citations). His work on enzyme biosensors using pencil lead electrodes and carbon nanotube-modified sensors further demonstrates his commitment to accessible, practical analytical solutions. With publications spanning drug release monitoring, corrosion analysis of shape memory alloys, and antimicrobial trace detection, Schulte's interdisciplinary impact is both broad and enduring — making him an essential reference for researchers pursuing miniaturized, automated electroanalytical methodologies.

Research Focus

Key Achievements

8
H-Index
9
Papers
188
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Robotic heavy metal anodic stripping voltammetry: ease and efficacy for trace lead and cadmium electroanalysis
35 citations · 2013
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Suranaree University of Technology, Ruhr University Bochum, Vidyasirimedhi Institute of Science and Technology, Nakhon Ratchasima Rajabhat University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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