AI Article Synopsis

  • The study focuses on creating hydrangea-like networks using copper and tannic acid, designed for efficiently separating histidine-rich proteins from complex biological samples, crucial for disease diagnosis.
  • The resulting structures have a high surface area and excellent adsorption capacity, successfully purifying bovine hemoglobin from whole blood while maintaining selectivity.
  • These networks are also cost-effective, easy to produce, and can be reused multiple times without needing fresh solutions, highlighting their potential for sustainable use in protein purification.

Article Abstract

Highly selective separation and purification of histidine-rich (His-rich) proteins from complex biological samples is crucial for disease diagnosis, but it still remains a challenge. In this work, hydrangea-like Cu-tannic acid (TA) networks were fabricated one-step assembly of Cu and natural polyphenol for separation and purification of bovine hemoglobin (BHb) from complex biosamples. The preparation procedure was simple, fast and cost-effective. Interestingly, hydrangea-like morphology was obtained by the cross-linked assembly of Cu-TA nanosheets and resulted in a hierarchically porous structure. Benefiting from the large surface area and highly abundant Cu, hydrangea-like Cu-TA networks exhibited exceptional adsorption performance towards BHb including ultra-high adsorption capacity (25 116.6 mg g) and excellent selectivity. Moreover, hydrangea-like Cu-TA networks possessed good reusability for five adsorption-desorption cycles without the need for regeneration in fresh reaction solution. In addition, hydrangea-like Cu-TA networks were successfully adopted for highly selective separation and purification of BHb from a complex biosample (bovine whole blood). In a word, this work demonstrated that hydrangea-like Cu-TA networks could act as a cost-effective and sustainable adsorbent with exceptional performance, which showed great potential in separation and purification of His-rich proteins for the omics analysis and disease diagnosis.

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Source
http://dx.doi.org/10.1039/d4ay02276aDOI Listing

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