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  • 青岛科技大学

罗细亮 教授

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Rapid pattern recognition of different types of sulphur-containing species as well as serum and bacteria discrimination using Au NCs-Cu~(2+) complexes

发布时间:2021-03-15 点击次数:

  • 关键字:Sulfur-containing species; Gold nanoclusters; Sensor array; Fluorescence; Bacteria discrimination; Serum discrimination
  • 摘要:Discrimination of different types of sulfur-containing species not only helps us to deeply understand how sulfur affects cellular signaling,but also contribute to the early diagnosis of diseases.However,the current investigation about sulfur-containing species discrimination is mainly concentrated in biothiols,which is relatively limited for practical application.Toward circumventing this limitation,herein,a convenient sensor array consisting of three kinds of Au NCs-Cu~(2+) for simultaneous and rapid identification of different types of sulfur-containing species is reported.Based on the fingerprint-like fluorescence responses generated by competitive binding between Au NCs-Cu~(2+) and different sulfurcontaining species,not only ten different types of sulfur-containing species separately but also their binary or ternary randomly selected mixtures can be well discriminated even in human urine and serum samples.It is worth noting that it only takes 2 min to obtain the best response signals for sulfurcontaining species discrimination.Most importantly,serums from cancer patients(such as liver cancer and breast cancer) and healthy people as well as sulfur-oxidizing bacteria(SOB) and sulfur-free bacteria can be both effectively and rapidly identified within 2 min,respectively,making it a promising approach for point-of-care disease diagnostic.
  • 卷号:v.31
  • 期号:09
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