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Record W4392456407 · doi:10.37188/cjl.20230282

High-efficiency Luminescence Detection of Nitroaromatics by Platinum(Ⅱ) Complex with Aggregation-induced Emission

2024· article· en· W4392456407 on OpenAlexaff
Cao Qingsong, Xin Zeng, Xiaoli Wang, Jiaming Liu, Guosheng YAN, Guanghui Wang, Yuhao Zhang, Ling DI, Jianghua Ling

Bibliographic record

VenueChinese Journal of Luminescence · 2024
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Nanomaterials in Catalysis
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsMaterials scienceLuminescencePlatinumAggregation-induced emissionPhotochemistryNanotechnologyChemical engineeringOptoelectronicsOpticsOrganic chemistryFluorescencePhysicsChemistry

Abstract

fetched live from OpenAlex

合成了一例三苯胺基团修饰的铂(Ⅱ)配合物PtppyTPA,并详细地表征了其结构及光物理性质。研究表明,三苯胺基团可有效激活PtppyTPA的聚集诱导发光(AIE)性能,使其在含水量为50%的乙腈中呈现显著的发光增强。以AIE活性的PtppyTPA为发光探针实现了对4种硝基芳烃包括硝苯地平(Nifedipine,NFD)、5⁃氯⁃2⁃硝基三氟甲苯(5⁃chloro⁃2⁃nitrotrifluorotoluene,ClNTFT)、4⁃溴⁃1⁃氟⁃2⁃硝基苯(4⁃bromo⁃1⁃fluoro⁃2⁃nitrobenzene,BrFNBz)及3⁃硝基三氟甲苯(3⁃nitrotrifluorotoluene, NTFT)的发光检测,利用Stern⁃Volmer方程拟合检测数据并计算了检测效率及检测限。PtppyTPA对上述硝基芳烃的检测效率分别为11.12,0.27,0.25,0.21 L/mmol;检测限分别为7.1,291.0,314.3,374.2 μmol/L。PtppyTPA对NFD具有最高的检测效率和最低的检测限。前线轨道能级及光谱交叠实验表明,PtppyTPA对NFD、ClNTFT、BrFNBz及NTFT的检测机理为电子转移。

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.259
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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