ArticleChinese medicine2018
Application of delayed luminescence method on measuring of the processing of Chinese herbal materials.
Article in Chinese medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Biophoton emission promotes the modern scientific utilization of medicinal plants: from theoretical integration to research applications.Frontiers in chemistry · 2025Review
- Differential concentrations of NaCl and KFrontiers in plant science · 2025Article
- Article
- Application of digital-intelligence technology in the processing of Chinese materia medica.Frontiers in pharmacology · 2023Review
- Applications of Delayed Luminescence for tomato fruit quality assessment across varied Sicilian cultivation zones.PloS one · 2023Article
- Integrated assessment of medicinal rhubarb by combination of delayed luminescence and HPLC fingerprint with emphasized on bioactivities based quality control.Chinese medicine · 2020Article
- A comparative study of aged and contemporary Chinese herbal materials by using delayed luminescence technique.Chinese medicine · 2020Article
- Application of delayed luminescence measurements for the identification of herbal materials: a step toward rapid quality control.Chinese medicine · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBased on the principle of tradition Chinese medicine, the processing refers to various techniques that alter the overall properties of herbal materials to meet the requirements of therapeutic applications. However, the standards of quality control and scientific standard operation protocol for processing manufacturing are largely unknown and there is a huge demand for the development of scientific tools for evaluating the quality during and after the processing. The key challenge in evidence-based medicine is to characterize the processing of herbal materials from system-based perspective.
methodsDelayed luminescence (DL) as a rapid, direct, systemic tool was used to characterize the properties of raw and processed materials of Rehmanniae radix and Ginseng radix et rhizome. Hyperbolic function was used to extract four parameters from DL curves of herbal materials. Statistical tools, including one-way analysis of variance and principal component analysis, were used to differentiate raw and processed herbal materials.
resultsOur results showed DL properties were able to reliably identify raw and processed materials of Rehmanniae radix and Ginseng radix et rhizoma, respectively. In addition, the results indicated that after four cycles of processing for Rehmanniae radix, there was no much significant change in DL parameters which resembles the results obtained from chemical analyses (after five cycles) using
conclusionDL may serve as a fast, robust and sensitive tool for evaluating processing on herbs and may be used as part of a comprehensive platform for assessing the quality of herbal materials.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.