Flow-through analytical systems and microsystems with electrochemical detection for monitoring of biologically active species (IUPAC Technical Report)
Bibliographic record
Abstract
Abstract Requirements for cost and labor-effective quality control chemical analysis, which is friendly to environment and human health according to principles of green and white analytical chemistry, lead to challenges in instrumentations, their setup and testing methods. Low-cost and effective electrochemical detection platforms and procedures in flowing systems such as injection analysis, liquid chromatography, capillary electrophoresis, lab-on-a-chip and other devices have emerged as a simple and robust alternative to conventional tests. The technical report aims to address both current trends and future potential in this field for the development of new methods as well as fabrication and commercialization of the devices including miniaturization and portable assays realization under on-site, point-of-care, in-place, and field analyses. To achieve it, optimization and standardization of the flow-through systems and establishment of standardized testing protocols are of importance. Real application examples demonstrate the benefits of these systems developed with user-friendly interfaces for application in monitoring of biologically active species in biomedical diagnostics, and treatment, environmental protection, and food quality control.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".