Evidence map›Paper›PMID 39652288›Full record

ArticleAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2025

Quality control of corn silk extract using IR spectroscopy along with statistical methods.

Aiko Sano, Yutaka Inoue, Yuji Higuchi, Ken-Ichi Akao, Ryuichiro Suzuki

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Article in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 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. Analytical sensing based on electrochemiluminescence.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    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.

Aiko SanoFaculty of Pharmacy and Pharmaceutical Sciences, Josai University, 1-1 Keyakidai, Sakado, Saitama, 3500295, Japan.
Yutaka InoueFaculty of Pharmacy and Pharmaceutical Sciences, Josai University, 1-1 Keyakidai, Sakado, Saitama, 3500295, Japan.
Yuji HiguchiApplicative Solution Lab, JASCO Corporation, 2967-5 Ishikawa-machi, Hachioji, Tokyo, 1928537, Japan.
Ken-Ichi AkaoApplicative Solution Lab, JASCO Corporation, 2967-5 Ishikawa-machi, Hachioji, Tokyo, 1928537, Japan.
Ryuichiro SuzukiFaculty of Pharmacy and Pharmaceutical Sciences, Josai University, 1-1 Keyakidai, Sakado, Saitama, 3500295, Japan. ryu_suzu@josai.ac.jp.ORCID http://orcid.org/0000-0002-3492-1671

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aqueous extracts of corn silk exhibit glycation-inhibitory activity. Lignin is the active component of these extracts. As corn silk is highly nutritious and has medicinal value, it can be used as a functional food and cosmetics. However, to achieve this goal, it is necessary to evaluate its quality. As lignin, which could be used as a marker compound for quality control, is a macromolecule, HPLC cannot be employed for the quality control of the aqueous extracts of corn silk. We here develop a method to evaluate the anti-glycation activity of the aqueous extracts of corn silk using attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy along with multivariate statistical analysis. The inhibitory activity was evaluated using two multivariate calibrations: principal component regression (PCR) and partial least square regression (PLSR). The spectral areas of the PCR model were 633.5-880.3, 1191.8-1359.6, 1423.1-1492.6, and 2572.6-2974.7 cm

Indexed as

Plant ExtractsSilkZea maysLeast-Squares AnalysisMultivariate AnalysisPrincipal Component AnalysisQuality ControlSpectroscopy, Fourier Transform InfraredPlant ExtractsSilkCorn silkFT-IRGlycation-inhibitory activityMultivariate calibration

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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 OpenQuestion graph.