{"id":"https://openalex.org/W7225117485","doi":"https://doi.org/10.1021/acs.analchem.6c04918","title":"DWSA: Dynamic-Weighting and Self-Attention Intelligent Framework Enables High-Sensitivity SERS Discrimination of Ultratrace Volatile Organic Compounds","display_name":"DWSA: Dynamic-Weighting and Self-Attention Intelligent Framework Enables High-Sensitivity SERS Discrimination of Ultratrace Volatile Organic Compounds","publication_year":2026,"publication_date":"2026-11-02","ids":{"openalex":"https://openalex.org/W7225117485","doi":"https://doi.org/10.1021/acs.analchem.6c04918"},"language":"en","primary_location":{"id":"doi:10.1021/acs.analchem.6c04918","doi":"https://doi.org/10.1021/acs.analchem.6c04918","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.analchem.6c04918","pdf_url":null,"source":{"id":"https://openalex.org/S191963794","display_name":"Analytical Chemistry","issn_l":"0003-2700","issn":["0003-2700","1520-6882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Analytical Chemistry","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160330434","display_name":"Cheng Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["Hefei University of Technology , , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology , , ,","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160371005","display_name":"Ning Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["Hefei University of Technology , , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology , , ,","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160026441","display_name":"Guangping Li","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangping Li","raw_affiliation_strings":["Hefei University of Technology , , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology , , ,","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160359606","display_name":"Yaguang Yin","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguang Yin","raw_affiliation_strings":["Hefei University of Technology , , ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei University of Technology , , ,","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051380367","display_name":"Honglin Liu","orcid":"https://orcid.org/0000-0003-0910-2444","observed_orcids":["https://orcid.org/0000-0003-0910-2444","https://orcid.org/0000-0002-1254-3163","https://orcid.org/0000-0003-2473-9056","https://orcid.org/0000-0002-7985-3799"]},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honglin Liu","raw_affiliation_strings":["Hefei University of Technology , , ,"],"raw_orcid":"https://orcid.org/0000-0003-0910-2444","affiliations":[{"raw_affiliation_string":"Hefei University of Technology , , ,","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051380367"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":{"value":4500,"currency":"USD","value_usd":4500},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64812814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10131","display_name":"Gold and Silver Nanoparticles Synthesis and Applications","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10131","display_name":"Gold and Silver Nanoparticles Synthesis and Applications","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/surface-enhanced-raman-scattering","display_name":"surface-enhanced Raman scattering","score":0.9789999723434448},{"id":"https://openalex.org/keywords/volatile-organic-compounds","display_name":"volatile organic compounds","score":0.9160000085830688},{"id":"https://openalex.org/keywords/dynamic-weighting","display_name":"dynamic weighting","score":0.6850000023841858},{"id":"https://openalex.org/keywords/self-attention","display_name":"self-attention","score":0.9679999947547913},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.6600000262260437},{"id":"https://openalex.org/keywords/3d-porous-materials","display_name":"3D porous materials","score":0.9589999914169312},{"id":"https://openalex.org/keywords/environmental-monitoring","display_name":"environmental monitoring","score":0.7070000171661377}],"concepts":[{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.7276999950408936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42100000381469727},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4140999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4104999899864197},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.40610000491142273},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.35440000891685486},{"id":"https://openalex.org/C169573571","wikidata":"https://www.wikidata.org/wiki/Q466824","display_name":"Raman scattering","level":3,"score":0.3499000072479248},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.3138999938964844},{"id":"https://openalex.org/C150394285","wikidata":"https://www.wikidata.org/wiki/Q180254","display_name":"Adsorption","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.30329999327659607},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25870001316070557},{"id":"https://openalex.org/C179366358","wikidata":"https://www.wikidata.org/wiki/Q909212","display_name":"Metal-organic framework","level":3,"score":0.25780001282691956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1021/acs.analchem.6c04918","doi":"https://doi.org/10.1021/acs.analchem.6c04918","is_oa":false,"landing_page_url":"https://doi.org/10.1021/acs.analchem.6c04918","pdf_url":null,"source":{"id":"https://openalex.org/S191963794","display_name":"Analytical Chemistry","issn_l":"0003-2700","issn":["0003-2700","1520-6882"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320006","host_organization_name":"American Chemical Society","host_organization_lineage":["https://openalex.org/P4310320006"],"host_organization_lineage_names":["American Chemical Society"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Analytical Chemistry","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1837560931","https://openalex.org/W2030978587","https://openalex.org/W2441797228","https://openalex.org/W2742406094","https://openalex.org/W2771902832","https://openalex.org/W2891537154","https://openalex.org/W2940242941","https://openalex.org/W2973731563","https://openalex.org/W3004746258","https://openalex.org/W3019180497","https://openalex.org/W3046511218","https://openalex.org/W3089020942","https://openalex.org/W3105170313","https://openalex.org/W3159430209","https://openalex.org/W3164935905","https://openalex.org/W3183590937","https://openalex.org/W3199974991","https://openalex.org/W3201414681","https://openalex.org/W3203776797","https://openalex.org/W3211285657","https://openalex.org/W4224006404","https://openalex.org/W4284703563","https://openalex.org/W4360600460","https://openalex.org/W4383498172","https://openalex.org/W4387035806","https://openalex.org/W4388625889","https://openalex.org/W4390955692","https://openalex.org/W4392142507","https://openalex.org/W4395008828","https://openalex.org/W4398160552","https://openalex.org/W4399644716","https://openalex.org/W4399698022","https://openalex.org/W4399848847","https://openalex.org/W4400737929","https://openalex.org/W4402421724","https://openalex.org/W4406932340","https://openalex.org/W4408593546","https://openalex.org/W4408663649","https://openalex.org/W4409784486","https://openalex.org/W4410083362","https://openalex.org/W4410552375","https://openalex.org/W4412112427","https://openalex.org/W4412736389","https://openalex.org/W4413940043","https://openalex.org/W4414090368","https://openalex.org/W4414171626","https://openalex.org/W4415495079","https://openalex.org/W4417158385","https://openalex.org/W7116551261","https://openalex.org/W7116694989","https://openalex.org/W7125142696","https://openalex.org/W7131085947","https://openalex.org/W7131431758","https://openalex.org/W7154490718","https://openalex.org/W7163988116"],"related_works":["https://openalex.org/W4386392674","https://openalex.org/W4393972705","https://openalex.org/W7119031161","https://openalex.org/W7162668098","https://openalex.org/W7166701960","https://openalex.org/W4391229738","https://openalex.org/W4400493559","https://openalex.org/W2056293081","https://openalex.org/W3123196880","https://openalex.org/W4200413322"],"abstract_inverted_index":{"Abstract":[0],"Real-time":[1],"on-site":[2,181],"discrimination":[3],"of":[4,25,88,108,177,193],"ultratrace":[5],"volatile":[6],"organic":[7],"compounds":[8],"(VOCs)":[9],"via":[10],"surface-enhanced":[11],"Raman":[12],"scattering":[13],"(SERS)":[14],"is":[15,122],"fundamentally":[16],"challenged":[17],"by":[18,124,184],"spectral":[19,164],"complexity":[20],"and":[21,49,61,143,168],"the":[22,86,106,174,191],"limited":[23],"generalization":[24],"single":[26],"models.":[27],"Here,":[28],"we":[29,56,151],"develop":[30],"a":[31,42,58,98,125,153,194],"high-performance":[32],"3D":[33],"porous":[34],"material":[35,54],"(PM)":[36],"based":[37,111],"on":[38,112,135,147],"biopolymer-silver":[39],"nanocomposites,":[40],"providing":[41],"reliable":[43],"platform":[44],"for":[45,158],"trace":[46],"gas":[47,187],"enrichment":[48],"signal":[50],"enhancement.":[51],"Moving":[52],"beyond":[53],"optimization,":[55],"pioneer":[57],"novel":[59,195],"dynamic-weighting":[60],"self-attention":[62,126],"intelligent":[63,166,196],"framework":[64],"(DWSA)":[65],"to":[66,133],"integrate":[67],"convolutional":[68],"neural":[69],"network":[70],"(CNN)-based":[71],"global":[72],"feature":[73,131],"extraction":[74],"with":[75,156,190],"k-nearest":[76],"neighbors":[77],"(KNN)-based":[78],"local":[79],"similarity":[80],"reasoning.":[81],"The":[82],"hybrid":[83,149],"algorithm":[84],"overcomes":[85],"bottlenecks":[87],"traditional":[89],"static":[90],"ensemble":[91],"methods;":[92],"its":[93],"core":[94],"innovation":[95],"lies":[96],"in":[97,180],"confidence-driven":[99],"dynamic":[100],"weighting":[101],"strategy,":[102],"which":[103],"adaptively":[104,129],"balances":[105],"contributions":[107],"both":[109],"models":[110],"prediction":[113],"reliability":[114],"rather":[115],"than":[116],"fixed":[117],"ratios.":[118],"This":[119,171],"underlying":[120],"mechanism":[121],"augmented":[123],"module":[127],"that":[128],"recalibrates":[130],"weights":[132],"focus":[134],"key":[136],"molecular":[137],"vibrational":[138],"fingerprints,":[139],"effectively":[140],"filtering":[141],"noise":[142],"enhancing":[144],"interpretability.":[145],"Based":[146],"this":[148],"framework,":[150],"propose":[152],"detection":[154],"strategy":[155],"potential":[157],"portable":[159],"SERS":[160,178],"applications,":[161],"featuring":[162],"rapid":[163],"acquisition,":[165],"identification,":[167],"QR-code-based":[169],"traceability.":[170],"study":[172],"promotes":[173],"practical":[175],"application":[176],"technology":[179],"environmental":[182],"monitoring":[183],"integrating":[185],"ultra-high":[186],"adsorption":[188],"efficiency":[189],"development":[192],"algorithm.":[197]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-11-03T00:00:00"}
