Simultaneously calibrating and detecting multiple analytes is a powerful strategy to enhance analytical accuracy and reliability. This approach allows researchers to account for the interference of co-existing reagents and mitigate the impact of environmental fluctuations, which often compromise measurement precision. By employing advanced sensing techniques, such as multiplexed biosensors, chemometric modeling, or signal normalization methods, laboratories can achieve higher sensitivity and selectivity. This not only improves data reproducibility but also reduces errors in complex sample matrices. Ultimately, such integrated calibration-detection systems provide robust, real-time monitoring capabilities essential for applications in healthcare, environmental analysis, food safety, and industrial quality control.
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