Evidence map›Paper›PMID 32055426›Full record

ArticleJournal of advanced research2020

Nanoscale chemical and mechanical heterogeneity of human dentin characterized by AFM-IR and bimodal AFM.

Lijia Huang, Xiaoyue Zhang, Jian Shao, Ziyu Zhou, Yanan Chen, Xiaoli Hu

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 29 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Lijia HuangDepartment of Operative Dentistry and Endodontics, Guanghua School of Stomatology, SunYat-sen University, Guangzhou 510000, China.
Xiaoyue ZhangState Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Jian ShaoState Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China.
Ziyu ZhouDepartment of Operative Dentistry and Endodontics, Guanghua School of Stomatology, SunYat-sen University, Guangzhou 510000, China.
Yanan ChenDepartment of Operative Dentistry and Endodontics, Guanghua School of Stomatology, SunYat-sen University, Guangzhou 510000, China.
Xiaoli HuDepartment of Operative Dentistry and Endodontics, Guanghua School of Stomatology, SunYat-sen University, Guangzhou 510000, China.
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human dentin, as an important calcified tissue in the body, plays significant roles in withstanding masticatory forces and has a complex hierarchical organization. Understanding the composition and ultrastructure of dentin is critical for elucidating mechanisms of biomineralization under healthy and pathological states. Here, atomic force microscope infrared spectroscopy (AFM-IR) and AFM-based amplitude modulation-frequency modulation (AM-FM) techniques were utilized to detect the heterogeneity in chemical composition and mechanical properties between peritubular and intertubular dentin at the nanoscale. AFM-IR spectra collected from peritubular and intertubular dentin contained similar vibrational bands in the amide regions (I, II and III), suggesting that collagen may exist in both structures. A distinctive band at 1336 cm

Indexed as

Amplitude modulationAtomic force microscopyFrequency modulationHuman dentinInfrared spectroscopyYoung’s modulus

Identifiers

PMID32055426
PMCPMC7005426
OpenAlexW2998382633

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.