Ultrasensitive, high-throughput and multiple cancer biomarkers simultaneous detection in serum based on graphene oxide quantum dots integrated microfluidic biosensing platform

Biomarkers play an important role in disease diagnosis and prognosis, which demand reliable, sensitive, rapid, and economic detection platform to conduct simultaneous multiple-biomarkers analysis in serum or body liquid. Here, we developed a universal biosensing platform through integrating the advantages of unique nanostructure and biochemistry properties of graphene oxide quantum dots and high throughput and low cost of microfluidic chip for reliable and simultaneous detection of multiple cancer antigen and antibody biomarkers. The performance of the proposed biosensing platform is validated through the representative cancer biomarkers including carcino-embryonic antigen (CEA), carbohydrate antigen 125 (CA125), alpha-fetoprotein (AFP), carbohydrate antigen 199 (CA199) and carbohydrate antigen 153 (CA153). It has a large linear quantification detection regime of 5-6 orders of magnitude and an ultralow detection limit of 1 pg/mL or 0.01 U/mL. Moreover, the proposed biosensing chip is capable of conducting 5-20 kinds of biomarkers from at least 60 persons simultaneously in 40 min with only 2 mu L serum of each patient, which essentially reduces the detection cost and time to at least 1/60 of current popular methods. Clinical breast cancer and healthy samples detection results indicated its promising perspective in practical applications including cancer early diagnosis, prognosis, and disease pathogenesis study. (C) 2021 Elsevier B.V. All rights reserved.

Automated summary

The developed universal biosensing platform combines the unique nanostructure and biochemistry properties of graphene oxide quantum dots with the high throughput and low cost of microfluidic chips, enabling reliable and simultaneous detection of multiple cancer biomarkers. This platform has a wide linear quantification range and ultra-low detection limits, allowing for simultaneous detection of multiple biomarkers from multiple individuals in a short time, significantly reducing detection costs and time.