To evaluate whether meaningful differentiation is feasible at the high serum concentration, we conducted the 100 % serum experiment using the spectrometer setup (Figure ). We observed responses in the range of -1 % to 7 %, with lower standard errors compared to the measurement obtained from the barcode reader (Figure ). We again performed an LDA on this data set, revealing an already good agreement between measured and predicted levodopa concentrations using one single sensor ((GA)15-SWCNT, Figure ). By using the complete barcode pattern, we were able to enhance the prediction precision, achieving 100 % classification for a levodopa concentration of 1 µM (Figure ). The total error decreased from 46.7 % to 20 %, when utilizing the full barcode (Figure ). These results demonstrate the potential for reliably detecting levodopa even at 100 % serum concentrations. It also highlights that multiplexing and thus the very flexible SWCNT biosensor platform improves the analytical performance.