Instrumental Analysis Experiment: Direct Surface Analysis of Personal Protective Equipment
Bibliographic record
Abstract
An advanced instrumental analysis experiment was designed for senior undergraduate and first-year graduate students for the evaluation of surface compositions of personal protective equipment (PPE), with attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) and direct analysis in real time high-resolution mass spectrometry (DART-HRMS). Both techniques are capable of analyzing surfaces in seconds without sampling or sample pretreatments. Students performed direct tests on common PPE products such as facial masks, gloves, and protective clothing fabrics. ATR-FTIR obtained structural characteristics of the polymeric materials, and DART-MS detected additives and residual chemicals including toxic and hazards substances. Different PPE samples showed distinctive spectroscopic profiles in both ATR-FTIR and DART-HRMS. Multivariate data analysis was implemented to demonstrate the differences among the PPE groups. Through this experiment, students can better understand the unique features of different advanced level instruments, improve their capability for in-depth data analysis, and cultivate their ability to critically evaluate the different aspects of chemicals used in real life.
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 | 0.001 |
| 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".