Evidence map›Paper›PMID 41516594›Full record

ArticleSensors (Basel, Switzerland)2025

A High-Regularity Porous SERS Substrate Prepared by Two-Step Mild and Hard Anodization for Sorbic Acid Detection.

Chin-An Ku, Cheng-Hao Chiu, Chung-Yu Yu, Chuan-Yi Yang, Chen-Kuei Chung

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Chin-An KuDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-3180-7443
Cheng-Hao ChiuDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan.
Chung-Yu YuDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-6880-7340
Chuan-Yi YangDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0009-0005-0625-2705
Chen-Kuei ChungDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0003-4068-5713

Funding

National Science and Technology Council (NSTC), Taiwan NSTC112-2221-E006-172-MY3
6 · The paper itself

Abstract

Traditional colloid SERS substrates are mostly based on metal nanoparticles (MNPs), which have complex and time-consuming fabrication processes, poor structural control, and are susceptible to oxidation. As a result, solid-state SERS substrates have emerged as an effective alternative. Here, we propose using two-step mild and hard anodization to fabricate ordered anodic aluminum oxide (AAO) substrates with high total pore circumference for SERS detection. Hybrid pulse anodization (HPA) enables the fabrication of AAO at room temperature using 40 V in the first step and 40, 110, and 120 V in the second step of anodization. The different voltages applied in the second step effectively control the pore diameter, thereby achieving various nanostructures. The enhancement mechanism primarily originates from the high total pore circumference of nanostructures, which generates abundant hot spots around the pore peripherals, thereby significantly amplifying the SERS signal. Sorbic acid is a common preservative widely used in food products and employed as a test substance on high regularity AAO substrates at concentrations of 1000 ppm to 10 ppb. The resulting SERS spectra exhibited distinct characteristic peaks at 1640-1645 cm

Indexed as

AAOanodic aluminum oxidehigh regularitySERSsorbic acidsurface-enhanced Raman scattering

Identifiers

PMID41516594
PMCPMC12787714

What Socratic holds

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Registered trials

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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 Socratic graph.