{"doi":"10.1002/smsc.202300154","title":"Robust Synthesis of Targeting Glyco‐Nanoparticles for Surface Enhanced Resonance Raman Based Image‐Guided Tumor Surgery","abstract":"Surface Enhanced Resonance Raman (SERS) is a powerful optical technique, which can help enhance the sensitivity of Raman spectroscopy aided by noble metal nanoparticles (NPs). However, current SERS-NPs are often suboptimal, which can aggregate under physiological conditions with much reduced SERS enhancement. Herein, a robust one-pot method has been developed to synthesize SERS-NPs with more uniform core diameters of 50 nm, which is applicable to both non-resonant and resonant Raman dyes. The resulting SERS-NPs are colloidally stable and bright, enabling NP detection with low-femtomolar sensitivity. An algorithm has been established, which can accurately unmix multiple types of SERS-NPs enabling potential multiplex detection. Furthermore, a new liposome-based approach has been developed to install a targeting carbohydrate ligand, i.e., hyaluronan, onto the SERS-NPs bestowing significantly enhanced binding affinity to its biological receptor CD44 overexpressed on tumor cell surface. The liposomal HA-SERS-NPs enabled visualization of spontaneously developed breast cancer in mice in real time guiding complete surgical removal of the tumor, highlighting the translational potential of these new glyco-SERS-NPs.","journal":"Small Science","year":2024,"id":441957,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9401,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1254982,"name":"A. K. M. Atique Ullah","orcid":"0000-0002-4545-2663","position":1,"is_corresponding":false},{"id":933092,"name":"Aniwat Juhong","orcid":"0000-0002-9115-9767","position":2,"is_corresponding":false},{"id":933089,"name":"Chia‐Wei Yang","orcid":"0000-0002-0950-5510","position":3,"is_corresponding":false},{"id":933090,"name":"Cheng‐You Yao","orcid":"0000-0002-6045-8676","position":4,"is_corresponding":false},{"id":1254983,"name":"Xiaoyan Li","orcid":"0000-0002-2649-7575","position":5,"is_corresponding":false},{"id":1063420,"name":"Harvey L. Bumpers","orcid":"0000-0001-6165-9261","position":6,"is_corresponding":false},{"id":933093,"name":"Zhen Qiu","orcid":"0000-0001-8790-8481","position":7,"is_corresponding":false},{"id":308597,"name":"Xuefei Huang","orcid":"0000-0002-6468-5526","position":8,"is_corresponding":false},{"id":776934,"name":"Kunli Liu","orcid":"0000-0003-1954-9776","position":0,"is_corresponding":true}],"reference_count":73,"raw_metadata":null,"created_at":"2026-07-19T02:01:11.152920Z","pmid":"39185268","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}