Evidence map›Paper›PMID 29719781›Full record

ArticleActa pharmaceutica Sinica. B2018

A novel quantified bitterness evaluation model for traditional Chinese herbs based on an animal ethology principle.

Xue Han, Hong Jiang, Li Han, Xi Xiong, Yanan He, Chaomei Fu, Runchun Xu, Dingkun Zhang, Junzhi Lin, Ming Yang

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. 20(Acta pharmaceutica Sinica. B · 2020
    Article
  10. Article
  11. Deep learning forActa pharmaceutica Sinica. B · 2019
    Article
  12. Spectrum-Effect Relationship between UPLC Fingerprints and Antilung Cancer Effect of Si Jun Zi Tang.Evidence-based complementary and alternative medicine : eCAM · 2019
    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

10 authors.

Xue HanCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Hong JiangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Li HanCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xi XiongCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yanan HeCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Chaomei FuCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Runchun XuCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Dingkun ZhangCollege of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Junzhi LinAffiliated Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu 610072, China.
Ming YangKey Laboratory of Modern Preparation of TCM, Ministry of Education, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional Chinese herbs (TCH) are currently gaining attention in disease prevention and health care plans. However, their general bitter taste hinders their use. Despite the development of a variety of taste evaluation methods, it is still a major challenge to establish a quantitative detection technique that is objective, authentic and sensitive. Based on the two-bottle preference test (TBP), we proposed a novel quantitative strategy using a standardized animal test and a unified quantitative benchmark. To reduce the difference of results, the methodology of TBP was optimized. The relationship between the concentration of quinine and animal preference index (PI) was obtained. Then the PI of TCH was measured through TBP, and bitterness results were converted into a unified numerical system using the relationship of concentration and PI. To verify the authenticity and sensitivity of quantified results, human sensory testing and electronic tongue testing were applied. The quantified results showed a good discrimination ability. For example, the bitterness of Coptidis Rhizoma was equal to 0.0579 mg/mL quinine, and Nelumbinis Folium was equal to 0.0001 mg/mL. The validation results proved that the new assessment method for TCH was objective and reliable. In conclusion, this study provides an option for the quantification of bitterness and the evaluation of taste masking effects.

Indexed as

BitterElectronic tongueHuman sensory evaluationQuantificationQuinineTwo-bottle preference test

Identifiers

PMID29719781
PMCPMC5925219

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.