{"doi":"10.1002/smtd.202400122","title":"Single Side‐Chain‐Modulatory of Hemicyanine for Optimized Fluorescence and Photoacoustic Dual‐Modality Imaging of H<sub>2</sub>S In Vivo","abstract":"Abstract Near‐infrared fluorescence (NIRF)/photoacoustic (PA) dual‐modality imaging integrated high‐sensitivity fluorescence imaging with deep‐penetration PA imaging has been recognized as a reliable tool for disease detection and diagnosis. However, it remains an immense challenge for a molecule probe to achieve the optimal NIRF and PA imaging by adjusting the energy allocation between radiative transition and nonradiative transition. Herein, a simple but effective strategy is reported to engineer a NIRF/PA dual‐modality probe (Cl‐HDN 3 ) based on the near‐infrared hemicyanine scaffold to optimize the energy allocation between radiative and nonradiative transition. Upon activation by H 2 S, the Cl‐HDN 3 shows a 3.6‐fold enhancement in the PA signal and a 4.3‐fold enhancement in the fluorescence signal. To achieve the sensitive and selective detection of H 2 S in vivo, the Cl‐HDN 3 is encapsulated within an amphiphilic lipid (DSPE‐PEG 2000 ) to form the Cl‐HDN 3 ‐LP, which can successfully map the changes of H 2 S in a tumor‐bearing mouse model with the NIRF/PA dual‐modality imaging. This work presents a promising strategy for optimizing fluorescence and PA effects in a molecule probe, which may be extended to the NIRF/PA dual‐modality imaging of other disease‐relevant biomarkers.","journal":"Small Methods","year":2024,"id":460875,"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":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9516,"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":1288974,"name":"Xipeng Li","orcid":"0000-0002-8016-5395","position":1,"is_corresponding":false},{"id":1289452,"name":"Zhiheng Luo","orcid":null,"position":2,"is_corresponding":false},{"id":1288975,"name":"Jiajun Li","orcid":"0000-0002-3986-9315","position":3,"is_corresponding":false},{"id":1289453,"name":"Sihua Yang","orcid":null,"position":4,"is_corresponding":false},{"id":634893,"name":"Tao Zhang","orcid":"0000-0001-6855-0162","position":5,"is_corresponding":false},{"id":1288973,"name":"Juntao Xu","orcid":"0000-0002-6361-2501","position":0,"is_corresponding":true}],"reference_count":53,"raw_metadata":null,"created_at":"2026-07-19T02:04:07.925246Z","pmid":"38564786","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":[]}