One of the key observations in our previous study is that the structural information of glycans can be enriched by integrating the spectra obtained from 4MBA and 1TBA. The collective Raman spectra could increase the accuracy of glycan classification and quantification. This discovery offers a strategy to improve the sensor performance by using an array of BA receptors. Here, we developed a glycan sensor containing up to 8 different BA receptors to directly analyze the complex biological samples without glycan purification steps, including whole milk and intact glycoproteins. Because SERS is a nearfield phenomenon, the resulting Raman signals primarily originate from BA-glycan reaction complexes that are directly adsorbed on metallic nanoparticles. The influences of the background matrices were minimal. As expected, the collective spectra from different BA receptors achieved a remarkable 100% accuracy for classifying the milk oligosaccharides in the commercial dairy products.