Prediction of the antioxidant capacity of maize (Zea mays) hybrids using mass fingerprinting and data mining-Reference-Cited by-同舟云学术

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Prediction of the antioxidant capacity of maize (Zea mays) hybrids using mass fingerprinting and data mining

Published:2020-10 Issue: Volume:37 Page:100647
ISSN:2212-4292
Container-title:Food Bioscience
language:en
Short-container-title:Food Bioscience

Author:

Montero-Vargas Josaphat Miguel,Ortíz-Islas Sofia,Ramírez-Sánchez Obed,García-Lara Silverio,Winkler Robert

Funder

MasAgro-CIMMYT

Consejo Nacional de Ciencia y Tecnología (CONACyT) Mexico

bilateral

Publisher

Elsevier BV

Subject

Biochemistry,Food Science

Reference54 articles.

1. Approved methods of the AACC;AACC,2000

2. Antioxidant activity of grains;Adom;Journal of Agricultural and Food Chemistry,2002

3. The reconstruction of a modern Mexican peasantry;Barkin;Journal of Peasant Studies,2002

4. Teosinte and the origin of maize;Beadle;Journal of Heredity,1939

5. Relevance, structure and analysis of ferulic acid in maize cell walls;Bento-Silva;Food Chemistry,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Genetic mapping of maize metabolites using high-throughput mass profiling;Plant Science;2023-01

2. Novel Combination of the Biophysical, Nutritional, and Nutraceutical Properties in Subtropical Pigmented Maize Hybrids;Plants;2022-11-24

3. Non-Targeted LC-MS Metabolomics Approach towards an Authentication of the Geographical Origin of Grain Maize (Zea mays L.) Samples;Foods;2021-09-13

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