Preparation and Identification of Antioxidant Peptides in Quinoa.

Qian Zhang, Qian Du, Hui Li, Jing Yuan, Jie Zhao, Fengmei Sun

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.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qian ZhangCollege of Agriculture, Forestry and Technology, Hebei North University, Zhangjiakou 075000, China.ORCID 0009-0005-5016-9132

Qian DuCollege of Agriculture, Forestry and Technology, Hebei North University, Zhangjiakou 075000, China.

Hui LiCollege of Agriculture, Forestry and Technology, Hebei North University, Zhangjiakou 075000, China.

Jing YuanCollege of Agriculture, Forestry and Technology, Hebei North University, Zhangjiakou 075000, China.

Jie ZhaoInstitute of Quality Standard and Testing Technology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.ORCID 0000-0002-6443-6458

Fengmei SunCollege of Agriculture, Forestry and Technology, Hebei North University, Zhangjiakou 075000, China.ORCID 0009-0001-3552-8679

Funding

Basic Research and Talent Training Program Project of Zhangjiakou No. 2311001A

6 · The paper itself

Abstract

This study used locally sourced black, red, and white quinoa from Zhangjiakou as experimental materials to optimize the preparation process of quinoa antioxidant peptides and identify their sequence characteristics. Protein was extracted using the alkali-soluble acid precipitation method. The optimal hydrolytic enzyme was selected by comparing the hydrolysis effects of eight proteases. Enzymatic hydrolysis conditions were optimized using single-factor experiments and response surface methodology. After purification by Sephadex G-15 gel filtration chromatography, peptide sequences were identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with De novo sequencing technology. The results showed that black quinoa and alcalase were identified as the optimal raw material and hydrolytic enzyme, respectively. The optimal enzymatic hydrolysis conditions were an enzyme dosage of 4000 U·g

Indexed as

antioxidant peptidesoptimization of enzymatic hydrolysispeptide sequence identificationprotease screeningquinoa protein

Identifiers

PMID42737366

DOI10.3390/foods15173124

PMCPMC13565606

What OpenQuestion holds

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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.