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Record W1970332099 · doi:10.1117/1.jbo.18.12.127003

Rapid and nondestructive method for evaluation of embryo culture media using drop coating deposition Raman spectroscopy

2013· article· en· W1970332099 on OpenAlexaff
Zufang Huang, Yan Sun, Jing Wang, Shengrong Du, Yongzeng Li, Juqiang Lin, Shangyuan Feng, Jinping Lei, Hongxin Lin, Rong Chen, Haishan Zeng

Bibliographic record

VenueJournal of Biomedical Optics · 2013
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsBC Cancer Agency
FundersProgram for Changjiang Scholars and Innovative Research Team in UniversityNatural Science Foundation of Fujian ProvinceNational Natural Science Foundation of China
KeywordsRaman spectroscopyMaterials scienceScanning electron microscopeCoatingDrop (telecommunication)Analytical Chemistry (journal)SpectroscopyMacromoleculeSample preparationChemical engineeringNanotechnologyChromatographyChemistryOpticsComposite materialBiochemistry

Abstract

fetched live from OpenAlex

In this study, a rapid and simple method which combines drop coating deposition and Raman spectroscopy (DCDR) was developed to characterize the dry embryo culture media (ECM) droplet. We demonstrated that Raman spectra obtained from the droplet edge presented useful and characteristic signatures for protein and amino acids assessment. Using a different analytical method, scanning electron microscopy coupled with energy dispersive X-ray analysis, we further confirmed that Na, K, and Cl were mainly detected in the central area of the dry ECM droplet while sulphur, an indicative of the presence of macromolecules such as proteins, was mainly found at the periphery of the droplet. In addition, to reduce sample preparation time, different temperatures for drying the droplets were tested. The results showed that drying temperature at 50°C can effectively reduce the sample preparation time to 6 min (as compared to 50 min for drying at room temperature, ∼25°C) without inducing thermal damage to the proteins. This work demonstrated that DCDR has potential for rapid and reliable metabolomic profiling of ECM in clinical applications.

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)0.003
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
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 science0.0000.000
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 head0.033
GPT teacher head0.353
Teacher spread0.320 · 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
GenreMethods

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

Citations11
Published2013
Admission routes1
Has abstractyes

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