Recent Applications of Host-Guest Inclusion in Fluorescence-Based Trace Analysis
Bibliographic record
Abstract
Host-guest inclusion complexes represent the simplest example of a supramolecular system, in which a small “guest” molecule becomes included within the interior cavity of a larger, cage-like “host” molecule. This inclusion can have a number of significant effects on the physical and spectroscopic properties of the guest. One particularly useful effect is the significant enhancement of the guest fluorescence, which occurs for a wide range of guests, for a variety of reasons. If the guest is an analyte of interest, then this inclusion-induced fluorescence enhancement provides a simple, convenient means to significantly increase the sensitivity of its fluorescence-based trace analysis. This article will provide a comprehensive review of the recent application of host-guest inclusion to the spectrofluorimetric trace analysis of a wide range of guests of interest, including pharmaceutical and environmentally important compounds, in a variety of hosts, including cyclodextrins and calixarenes. Keywords: Fluorescence enhancement, Trace analysis, Host-guest inclusion, Cyclodextrins, Cucurbiturils, Calixarenes
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".