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Record W2900359557 · doi:10.1039/c8an01770k

Electrical detection of trace zinc ions with an extended gate-AlGaN/GaN high electron mobility sensor

2018· article· en· W2900359557 on OpenAlexaff
Le Gu, Shuai Yang, Bin Miao, Zhiqi Gu, Jin Wang, Wei Sun, Dongmin Wu, Jiadong Li

Bibliographic record

VenueThe Analyst · 2018
Typearticle
Languageen
FieldChemical Engineering
TopicAnalytical Chemistry and Sensors
Canadian institutionsL'Alliance Boviteq
FundersYouth Innovation Promotion AssociationYouth Innovation Promotion Association of the Chinese Academy of SciencesNational Natural Science Foundation of China
KeywordsTRACE (psycholinguistics)ZincOptoelectronicsMaterials scienceIonWide-bandgap semiconductorElectronHigh-electron-mobility transistorChemistryElectrical engineeringPhysicsTransistorVoltageEngineeringMetallurgy

Abstract

fetched live from OpenAlex

In this report, we have developed a high sensitivity zinc ion (Zn2+) detection method based on a Schiff base functionalized extended gate (EG)-AlGaN/GaN high electron mobility (HEMT) sensor. The complexation reaction between the Schiff base and the zinc ions would cause surface potential change on the extended gate, and achieve the purpose of zinc ion detection. Compared with conventional methods, the Schiff base functionalized EG-AlGaN/GaN high electron mobility sensor showed a rapid response (less than 10 seconds) and the limit of detection (LOD) was 1 fM. At the same time, the real-time detection of zinc ion concentration ranging from 1 fM to 1 μM showed good linearity (R2 = 0.9962). These results indicated that it provides a promising real-time detection method for trace-free zinc ion trace detection.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.067
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 teacher head, 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

Citations35
Published2018
Admission routes1
Has abstractyes

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