Skip to main content

Advertisement

Log in

Extraction, Optimization, Characterization, and Antioxidant Activities of Chinese Wild Rice Nanoparticles

  • Research
  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

Plant-derived extra-cellular vesicles are a new food resource, rich in functional factors. However, the extraction rate of nanoparticles is low. Therefore, in this experiment, single-factor experiments were carried out using Chinese wild rice as the raw material, and the vesicle-like nanoparticles were successfully extracted from Chinese wild rice. The optimization of Chinese wild rice nanoparticle (WRNP) extraction process was conducted based on the response surface method. When the extraction time was 1 hour (h), and the ratio of material to liquid was 1:8.48 (w/v), the protein concentration of WRNPs was 10.28 ± 0.31 mg/mL after repeated extraction for five times. The obtained WRNPs were characterized, and its stability, antioxidant activity, and cytotoxicity assays were also evaluated. The particle size and zeta potential were 150.40 ± 3.11 nm and −8.95 ± 0.11 mV, respectively. The molecular weight of protein was mainly between 25 and 37 kDa, and the β-folds were the main content in the secondary structure of protein. The nanoparticles remained stable for 22 days at 4 °C, and nanoparticles could be digested by the human body. In addition, the antioxidant activity of WRNPs with a protein concentration of 1.6 mg/mL was not significantly different from that of vitamin C. Finally, nanoparticles have no significant toxic effect. The current study can provide a more perfect method for water frying and a reference for the development of natural antioxidant plant nanoparticles.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Data Availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

Download references

Funding

This work was supported by the National Natural Science Foundation of China No. 31800284. This work was supported by the Joint Innovative, Scientific and Technological Research Program for Yangzhou City and Yangzhou University No. YZ2020267. This work was supported by the Research Project of Key Laboratory of Culture and Tourism from Jiangsu Province No. 203560133.

Author information

Authors and Affiliations

Authors

Contributions

Chunmei Li and Meng Yuan: investigation, methodology, data curation, software, formal analysis, writing the entire manuscript, and validation. Qin Hou: supervision, validation, and review and editing. Jiamin Su and Yu Zhou: review and editing and validation. Yansong Chen: data curation. Haifeng Zhang: conceptualization, funding acquisition, supervision, review, and editing.

Corresponding author

Correspondence to Zhang Haifeng.

Ethics declarations

Compliance with Ethics Requirements

This article does not contain any studies with human or animal subject.

Conflict of Interest

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Yuan, M., Hou, Q. et al. Extraction, Optimization, Characterization, and Antioxidant Activities of Chinese Wild Rice Nanoparticles. Food Anal. Methods 17, 33–46 (2024). https://doi.org/10.1007/s12161-023-02542-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-023-02542-0

Keywords

Navigation