Comparison of phenolics, flavonoids, and cellular antioxidant activities in ear sections of sweet corn (<i>Zea mays</i>
 L. <i>saccharata</i>
 Sturt)

Yang, Tianran; Hu, Jisheng; Yu, Yongtao; Li, Gaoke; Guo, Xinbo; Li, Tong; Liu, Rui Hai

doi:10.1111/jfpp.13855

Cited by 27 publications

(21 citation statements)

References 30 publications

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“…YT28 has higher sweetness, thin peels and bright yellow colour, the new and widely planting variety in Southern China. To be notice, the phenolic and antioxidant ability of ear sections of YT28 including corn bracts, juice, resident, cob and silk were investigated by our laboratory (Yang et al, 2019). Ferulic acid, p-coumaric acid and gallic acid were the principal phytochemicals in all ear sections tested, and YT28 exhibited abundant phenolic composition and excellent antioxidant activities.…”

Section: Introductionmentioning

confidence: 99%

Accumulation of phenolics, antioxidant and antiproliferative activity of sweet corn (Zea mays L.) during kernel maturation

Liu

et al. 2020

Int J of Food Sci Tech

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Phenolic profiles and gene expression pattern in their synthetic pathway, total antioxidant activities and antiproliferative activities in two genotypes of sweet corn (YT16 and YT28) during kernel maturation were analysed. Results showed that increasing trends of phenolics and flavonoids in the two genotypes of kernels from 10 to 30 days after pollination (DAP). Gallic acid, chlorogenic acid, p-coumaric acid and ferulic acid were identified and quantified as the main phenolic compounds in both genotypes of kernels. High expressing levels of C4O and PAL resulted in the increasing phenolic contents. Higher expressing levels of CHS in YT28 led to higher flavonoid contents than that in YT16. The phenolic contents, antioxidant capacities and antiproliferative abilities of the two genotypes of sweet corn were competitive comparing to many fruits and vegetables. In addition, the maturation process of sweet corn could raise the kernel's bioactive ability as well as nutritional values.

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Section: Introductionmentioning

confidence: 99%

Accumulation of phenolics, antioxidant and antiproliferative activity of sweet corn (Zea mays L.) during kernel maturation

Liu

et al. 2020

Int J of Food Sci Tech

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“…The study associated the antioxidant properties of corn silk extract to high amount of flavonoid and phenolic compounds detected in the extract. In another study, ferrulic acid was implicated as the main bioactive phytochemical in the corn silk that correlated strongly with the potent cellular antioxidant activity (Yang et al, 2019). Corn silk has been used successfully in the traditional management of diseases that are associated with oxidative stress mainly diabetes and diabetic complications such as diabetic nephropathy (Wang and Zhao, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…It is therefore noteworthy that MCSE and ACSE are potent enough to attenuate or normalise the oxidative damage that characterize delayed wound healing. Although MCSE showed greater potency and could be that methanol extracted more antioxidant phytochemicals from corn silk than water (Thoudam et al, 2011;Yang et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Corn silk methanolic extract improves oxidative stress and inflammatory responses in rats’ excision wound model

Oyabambi

Nafiu²,

Okesina³

et al. 2021

Ceylon J. Sci.

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Anti-inflammatory and antioxidant activities of corn silk (Stigma maydis of Zea mays L.) extract were investigated in excision wound model. Twenty male Wistar rats (130-150g) were grouped into four (n=5/group): Control rats received 0.5 mL distilled water, the experimental groups received distilled water (0.5 mL), aqueous corn-silk extract (ACSE; 500 mg/kg) and methanolic corn-silk extract (MCSE; 500 mg/kg), twice/day orally, three weeks before and three weeks after they had 1.5 × 1.0 cm excision wound. Rats were sacrificed and blood was collected. Serum was separated while wound tissues were removed, homogenised and supernatant was stored. Antioxidant enzymes, malondialdehyde, hydroxyproline, cyclooxygenase-2 and NO were measured in wound tissues colorimetrically, while serum cytokines were measured using enzyme linked immunosorbent assay. MCSE significantly (p˂0.05) increased glutathione peroxidase, superoxide dismutase, catalase, hydroxyproline and total protein content but decreased significantly (p˂0.05) malondialdehyde, cyclooxygenase-2, IL-1β, TNF-α, and IFN-γ when compared with untreated wound. ACSE increased significantly (p<0.05) glutathione peroxidase and superoxide dismutase but decreased significantly (p<0.05) malondialdehyde and cyclooxygenase-2. However, it produced no significant effect on catalase, IL-1β, TNF-α, and IFN-γ when compared with untreated wound. MCSE attenuated oxidative and inflammatory responses in excision wound rat model.

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“…Sweet corn ( Zea mays L. saccharata ) is a vegetable crop with high nutritional and edible value as it is rich in sugar, various amino acids, vitamins, minerals, and dietary fiber [ 1 , 2 , 3 ]. Sweet corn has many varieties and they are favored by consumers all over the world, more so than common corn [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

Cui

Cheng

et al. 2020

Sensors

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Vigor identification in sweet corn seeds is important for seed germination, crop yield, and quality. In this study, hyperspectral image (HSI) technology integrated with germination tests was applied for feature association analysis and germination performance prediction of sweet corn seeds. In this study, 89 sweet corn seeds (73 for training and the other 16 for testing) were studied and hyperspectral imaging at the spectral range of 400–1000 nm was applied as a nondestructive and accurate technique to identify seed vigor. The root length and seedling length which represent the seed vigor were measured, and principal component regression (PCR), partial least squares (PLS), and kernel principal component regression (KPCR) were used to establish the regression relationship between the hyperspectral feature of seeds and the germination results. Specifically, the relevant characteristic band associated with seed vigor based on the highest correlation coefficient (HCC) was constructed for optimal wavelength selection. The hyperspectral data features were selected by genetic algorithm (GA), successive projections algorithm (SPA), and HCC. The results indicated that the hyperspectral data features obtained based on the HCC method have better prediction results on the seedling length and root length than SPA and GA. By comparing the regression results of KPCR, PCR, and PLS, it can be concluded that the hyperspectral method can predict the root length with a correlation coefficient of 0.7805. The prediction results of different feature selection and regression algorithms for the seedling length were up to 0.6074. The results indicated that, based on hyperspectral technology, the prediction of seedling root length was better than that of seed length.

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Comparison of phenolics, flavonoids, and cellular antioxidant activities in ear sections of sweet corn (Zea mays L. saccharata Sturt)

Cited by 27 publications

References 30 publications

Accumulation of phenolics, antioxidant and antiproliferative activity of sweet corn (Zea mays L.) during kernel maturation

Accumulation of phenolics, antioxidant and antiproliferative activity of sweet corn (Zea mays L.) during kernel maturation

Corn silk methanolic extract improves oxidative stress and inflammatory responses in rats’ excision wound model

Prediction of Sweet Corn Seed Germination Based on Hyperspectral Image Technology and Multivariate Data Regression

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