4.8 Article

SPR Biosensing in Crude Serum Using Ultralow Fouling Binary Patterned Peptide SAM

Journal

ANALYTICAL CHEMISTRY
Volume 82, Issue 9, Pages 3699-3706

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac100035s

Keywords

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Funding

  1. NanoQuebec
  2. Canadian Space Agency
  3. Canada Foundation for Innovation (CFI)
  4. National Sciences and Engineering Research Council of Canada (NSERC)
  5. Fonds Quebecois de la Recherche sur la Nature et les Technologies (FQRNT)

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Near-zero fouling monolayers based on binary patterned peptides allow low nanomolar detection of the matrix metalloproteinase-3 (MMP-3) directly in crude bovine serum, without sample pretreatment, secondary antibody detection or signal amplification. The peptide 3-MPA-HHHDD-OH (3-MPA, 3-mercaptopropionic acid) was found optimal compared to other binary patterned peptides based on 3-MPA-A(x)-B-y-OH, where 0 <= x, y <= 5, and x + y = 5, and compared to PEG. In this study, amino acid A was His, Asp, Ser, or Leu, and amino acid B was His, Asp, or Ser. Zwitterionic peptides and other peptides exhibited excellent resistance to nonspecific adsorption. Binary patterned peptides were capped with 3-MPA on the N-terminus providing a monolayer with the C-terminus carboxylic acid available to subsequently immobilize antibodies. Thereby, an IgG biosensor demonstrated the efficiency of binary patterned peptides in SPR biosensing with a detection limit of 1-10 pM in PBS, similar to other optical or electrochemical techniques. This protocol was applied to establish a calibration curve for MMP-3, an analyte of clinical interest for many pathologies and a potential indicator of cancer. Me LOD for MMP-3 was 0.14 nM in PBS, with a linearity of up to 50 nM. With the use of PBS calibration, MMP-3 was quantified at low nanomolar in undiluted bovine serum. The SPR response in serum was statistically the same as in PBS. A sensor exposed to blank serum exhibited negligible nonspecific adsorption. Hence, binary patterned peptides are suitable for biosensing directly in complex biological matrixes.

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