Investigation and Rapid Determination of Storage-Induced Multidimensional Quality Deterioration of Wenyujin Rhizoma Concisum.

Haihui Liu, Tianze Xie, Jiaru Wang, Chuning Wei, Chenxiaoning Meng, Zhimin Wang, Jingjing Zhu

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Haihui LiuNational Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

Tianze XieNational Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

Jiaru WangInstitute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

Chuning WeiXUTELI School, Beijing Institute of Technology, Beijing 100081, China.

Chenxiaoning MengNational Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

Zhimin WangNational Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

Jingjing ZhuNational Engineering Laboratory for Quality Control Technology of Chinese Herbal Medicine, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, No. 16, Nanxiaojie, Dongzhimennei, Beijing 100700, China.

Funding

National Key Research and Development Program of China 2023YFC3504003National Key Research and Development Program of China 2024YFC3506600National Natural Science Foundation of China 82474076National Natural Science Foundation of China U24A20792

6 · The paper itself

Abstract

Prolonged storage degrades the quality of Wenyujin Rhizoma Concisum (PJH), a functional food ingredient rich in volatile bioactive terpenes, calling for an investigation and a rapid non-destructive identification method. This study adopts a holistic "bioactivity-composition-sensory" approach to evaluate PJH over time, combining cell assays, high-performance liquid chromatography, electronic nose, and hyperspectral imaging. Results show that extended storage leads to marked declines in anti-inflammatory and antioxidant activities, along with reductions in key volatile terpenes, weakened aroma, and color fading. A machine learning model was subsequently constructed based on hyperspectral data for storage year discrimination with 100% accuracy. These findings systematically reveal the multidimensional quality deterioration of PJH and establish a scientific basis for determining its shelf life. This holistic perspective and hyperspectral machine learning approach in this study offer a paradigm applicable to quality monitoring and stability research of other volatile-rich functional ingredients.

Indexed as

bioactivityfunctional foodhyperspectral imagingmachine learningsensorystorageWenyujin Rhizoma Concisum

Identifiers

PMID41596873

DOI10.3390/foods15020274

PMCPMC12839892

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

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.