In summary, the combination of SERS, BA receptors, and ML-driven chemometrics offers a rapid and efficient approach for comparative glycan detection. This study demonstrated this sensing platform could directly analyze unprocessed biological samples and intact glycoproteins without glycan purification steps. We also demonstrate that the detection accuracy can be improved by using multiple BA receptors. This sensor can serve as a rapid, low-cost, and valuable tool for routine glycosylation analysis in standard laboratories.