Evidence map›Paper›PMID 37431052›Full record

ArticleFoods (Basel, Switzerland)2022

Response Surface Modeling and Optimization of Enzymolysis Parameters for the In Vitro Antidiabetic Activities of Peanut Protein Hydrolysates Prepared Using Two Proteases.

Wedad Q Al-Bukhaiti, Sam Al-Dalali, Anwar Noman, Silin Qiu, Sherif M Abed, Sheng-Xiang Qiu

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

6 authors at 3 institutions in 3 countries.

Wedad Q Al-BukhaitiProgram of Natural Product Medicinal Chemistry, Key Laboratory of Plant Resources Conservation and Sustainable Utilization, Plant Research Center, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Sam Al-DalaliDepartment of Food Science and Technology, Faculty of Agriculture and Food Science, Ibb University, Ibb 70270, Yemen.ORCID 0000-0002-2173-1916
Anwar NomanDepartment of Agricultural Engineering, Faculty of Agriculture, Foods and Environment, Sana'a University, Sana'a 13060, Yemen.ORCID 0000-0002-1096-6277
Silin QiuProgram of Natural Product Medicinal Chemistry, Key Laboratory of Plant Resources Conservation and Sustainable Utilization, Plant Research Center, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Sherif M AbedFood and Dairy Science and Technology Department, Faculty of Environmental Agricultural Science, Arish University, North Sinai 45511, Egypt.
Sheng-Xiang QiuProgram of Natural Product Medicinal Chemistry, Key Laboratory of Plant Resources Conservation and Sustainable Utilization, Plant Research Center, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China.
Beijing Botanical Garden · CNIbb University · YESana'a University · YE

Funding

National Natural Science Foundation of China 82073733Science and Technology Service Network Initiative of the Chinese Academy of Sciences (CAS) KFJ-STS-QYZD-2021-03-002
6 · The paper itself

Abstract

Optimization of the enzymolysis process for preparing peanut protein hydrolysates using alcalase and trypsin was performed by employing the central composite design (CCD) of response surface methodology (RSM). The independent variables were solid-to-liquid ratio (S/L), enzyme-to-substrate ratio (E/S), pH, and reaction temperature, while the response variables were degree of hydrolysate (DH),

Indexed as

antidiabetic activityhydrolysis optimizationpeanut hydrolysatesα-amylaseα-glucosidase

Identifiers

PMID37431052
PMCPMC9602261
OpenAlexW4307372944

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.