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Record W4385071905 · doi:10.1093/micmic/ozad067.629

The Characterization of Hydroxyapatite and Octa-calcium Phosphate with Electron Energy Loss Spectroscopy

2023· article· en· W4385071905 on OpenAlexaff
Ya-Hsiang Hsu, Asra Hassan, Amanda H. Trout, John D. Bartlett, Charles E. Smith, James P. Simmer, David W. McComb

Bibliographic record

VenueMicroscopy and Microanalysis · 2023
Typearticle
Languageen
FieldMaterials Science
TopicCorrosion Behavior and Inhibition
Canadian institutionsMcGill University
Fundersnot available
KeywordsCharacterization (materials science)Electron energy loss spectroscopyCalciumMaterials scienceSpectroscopyPhosphateEnergy-dispersive X-ray spectroscopyChemistryNanotechnologyScanning electron microscopeComposite materialMetallurgyBiochemistryPhysics

Abstract

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Hydroxyapatite (HA, Ca10(PO4)6(OH)2) is the major mineral component in most organisms. The study of the formation of bones and teeth revolves around the phase transformation of HA [1–3]. Octacalcium phosphate (OCP, Ca8H2(PO4)6) is considered a metastable phase and the precursor for the formation of HA [4–6]. In 2018, Simon et al. observed the presence of OCP binding with osteocalcin in the formation of bone [7] Exposing phase transformation from OCP to HA would largely help the understanding of mineral formation in animals, and further help the design and repairment of artificial bones and teeth. However, the detection and differentiation of OCP and HA remain challenging because of their similar compositions and crystal structures. In 2018, a large portion of OCP was detected in the matrix metalloproteinase-20 (MMP20) knocked-out teeth by Yamazaki with Raman microspectroscopy [8]. Recently, our group discovered that the hypomineralized teeth induced by the lack of MMP20, and the major component of the enamel crystals was similar to OCP instead of HA based on the selected area diffraction pattern (SADP) images [9]. However, with Raman microspectroscopy, the detection of OCP lacks spatial information. With the SADP images, although we verified the crystal structure of the hypomineralized enamel crystals was consistent with the one from OCP, it was not clear whether the crystals were directly from OCP. In this research, electron energy loss spectroscopy (EELS) analysis was used to distinguish the HA and OCP crystals. EELS provides not only information on chemical bonding but also quantification of chemical composition. In addition, STEM- EELS offers an improved spatial resolution. Commercial HA and synthesized OCP were first characterized as the reference materials for the EELS analysis. As shown in Figure 1A, the synthesized OCP was initially impure, but after heating in distilled water at 80°C for 16 hours, the impure minerals transformed into OCP. The reference HA and OCP could be easily distinguished by the difference in microstructures (Figure 1B). For the EELS results from the Phosphorus-L2,3 and Calcium-L2,3 edges, the spectrums were similar (Figure 1C and D). The shoulder peaks at 142 eV were regarded as the transition to the empty orbitals in calcium, indicating the detected phosphate groups bonded to calcium [10]. In the Oxygen-K edge spectrums (Figure 1E), a slight difference was observed between the two spectrums. Aside from the difference in the energy loss near-edge structure, the EELS quantification of the Ca/P ratio for the sphere and the plate particles was approximately 1.6 and 1.3, respectively. The quantification results were close to the Ca/P ratios of HA and OCP, which are 1.66 and 1.33, respectively. Based on this difference, the minerals of immature mouse teeth were characterized. The TEM specimens from wild-type (WT) mice were prepared by focused ion beam-scanning electron microscopy (FIB-SEM). The bright field TEM images and the EELS from corresponding regions were shown in Figure 2. For the P-L2,3 and Ca-L2,3 edges, except for the spectrum from the spaces of Weber (SW), all spectrums were similar and have the shoulder peak at 142 eV, indicating the lack of P and Ca in the SW region and the presence of calcium phosphate components in the other regions. In the O-K edge, the spectrums from dentin and enamel were similar to the two-peak featured HA spectrum, and the one from SW was too noisy to identify. In this work, the reference EELS of HA and OCP is established and discussed. Based on these results, the minerals in the immature mouse teeth were identified as HA instead of OCP. The quantification study with additional biological specimens will be carried out in the future. This research can not only help to further understand the phase transformation and formation of teeth, but also explore the potential of EELS as a great tool for dental material identification. (A) X-ray diffraction (XRD) patterns of the synthesized OCP with and without post treatments. The peaks labeled red stars fit the pattern of dicalcium phosphate dihydrate and the ones labeled red circle fit the pattern of HA. (B) TEM bright field images: the spheres are HA; the plate is OCP. (C to E) The EELS results from phosphorus-L2,3 (C), calcium-L2,3 (D), and oxygen-K edge (E). (A and B) Bright field TEM images from the wild-type (WT) immature mouse incisor. (C to E) EELS results of the phosphorus-L2,3 (C), calcium-L2,3 (D), and oxygen-K edge (E) from the corresponding regions labeled in (A) and (B).

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 score0.004
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.242
Teacher spread0.235 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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