A Combined Near-Infrared and Mid-Infrared Spectroscopic Approach for the Detection and Quantification of Glycine in Human Serum

Research output: Contribution to journalArticlepeer-review

6 Citations (SciVal)

Abstract

Serum is an important candidate in proteomics analysis as it potentially carries key markers on health status and disease progression. However, several important diagnostic markers found in the circulatory proteome and the low-molecular-weight (LMW) peptidome have become analytically challenging due to the high dynamic concentration range of the constituent protein/peptide species in serum. Herein, we propose a novel approach to improve the limit of detection (LoD) of LMW amino acids by combining mid-IR (MIR) and near-IR spectroscopic data using glycine as a model LMW analyte. This is the first example of near-IR spectroscopy applied to elucidate the detection limit of LMW components in serum; moreover, it is the first study of its kind to combine mid-infrared (25–2.5 µm) and near-infrared (2500–800 nm) to detect an analyte in serum. First, we evaluated the prediction model performance individually with MIR (ATR-FTIR) and NIR spectroscopic methods using partial least squares regression (PLS-R) analysis. The LoD was found to be 0.26 mg/mL with ATR spectroscopy and 0.22 mg/mL with NIR spectroscopy. Secondly, we examined the ability of combined spectral regions to enhance the detection limit of serum-based LMW amino acids. Supervised extended wavelength PLS-R resulted in a root mean square error of prediction (RMSEP) value of 0.303 mg/mL and R2 value of 0.999 over a concentration range of 0-50 mg/mL for glycine spiked in whole serum. The LoD improved to 0.17 mg/mL from 0.26 mg/mL. Thus, the combination of NIR and mid-IR spectroscopy can improve the limit of detection for an LMW compound in a complex serum matrix.

Original languageEnglish
Article number4528
JournalSensors
Volume22
Issue number12
DOIs
Publication statusPublished - 15 Jun 2022

Bibliographical note

Funding Information:
Funding: This work was funded by an Australian Research Council (ARC) Discovery Project Grant DP180103484. This research was supported by the Monash—Bath global PhD programme. Furthermore, we would like to acknowledge the Australian Institute of Nuclear Science and Engineering (AINSE)’s post-graduate research award (PGRA) 2021.

Funding Information:
This work was funded by an Australian Research Council (ARC) Discovery Project Grant DP180103484. This research was supported by the Monash—Bath global PhD programme. Further-more, we would like to acknowledge the Australian Institute of Nuclear Science and Engineering (AINSE)’s post-graduate research award (PGRA) 2021. Acknowledgments: We would like to thank Finaly Shanks for technical expertise.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy
  • chemometrics
  • glycine
  • multimodal data fusion
  • near-infrared spectroscopy
  • serum proteomics

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A Combined Near-Infrared and Mid-Infrared Spectroscopic Approach for the Detection and Quantification of Glycine in Human Serum'. Together they form a unique fingerprint.

Cite this