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<p>Myocardial infarction (MI) is a life-threatening disease that affects a large number of people worldwide. To improve the chances of survival of patients suffering from MI, reliable diagnosis and identification tests are required. Surface-enhanced Raman spectroscopy (SERS) is a commonly used technique in disease detection because it can differentiate between spectral information from healthy and diseased patients. In this research, blood serum samples were taken from the MI clinically diagnosed patients followed by centrifugation by using 50&#xa0;kDa centrifugal devices for the separation of lower molecular weight proteins fraction (LMWFs) usually considered as biomarkers of the disease. This helps overcome hindrances from higher molecular weight protein fraction (HMWFs) in studying biochemical changes in lower molecular weight proteins in MI patients. The biomarkers that are expected to be detected in the filtrate portions of blood serum samples acquired using 50&#xa0;kDa centrifugal devices that have a weight less than 50&#xa0;kDa are cardiac troponin I (cTnI), cardiac troponin T (cTnT), and CK-MB. These filtrate portions of the patients’ blood serum samples are analyzed using SERS analysis in order to identify SERS spectrum characteristics that may be connected to these MI biomarkers. The spectral data are then examined using multivariate data analysis techniques including partial least square regression analysis (PLSR) and principal component analysis (PCA). In this regard, the PLSR model is useful as indicated by coefficient of determination value (<i>R</i><sup>2</sup>) for this model which is found to be 0.99 and RMSEC value (1.39), indicating the validity of the model.</p> Graphical Abstract <p></p>

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SERS Spectral Monitoring of Low Molecular Weight Fractions of Blood Serum Samples of Myocardial Infarction Patients Using a 50 kDa Device Along with Multivariate Data Analysis Techniques

  • 期刊论文

  • 发表日期：

    2025年3月14日

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  • Amina Parveen,
  • Muhammad Usman,
  • Muhammad Irfan Majeed,
  • Haq Nawaz,
  • Nosheen Rashid,
  • Abeer S. Altowyan,
  • Arslan Ali,
  • Nasir Mehmood,
  • Rashid Ali,
  • Kalsoom Akhtar,
  • Muhammad Ali,
  • Muhammad Kashif,
  • Muhammad Imran

摘要

Myocardial infarction (MI) is a life-threatening disease that affects a large number of people worldwide. To improve the chances of survival of patients suffering from MI, reliable diagnosis and identification tests are required. Surface-enhanced Raman spectroscopy (SERS) is a commonly used technique in disease detection because it can differentiate between spectral information from healthy and diseased patients. In this research, blood serum samples were taken from the MI clinically diagnosed patients followed by centrifugation by using 50 kDa centrifugal devices for the separation of lower molecular weight proteins fraction (LMWFs) usually considered as biomarkers of the disease. This helps overcome hindrances from higher molecular weight protein fraction (HMWFs) in studying biochemical changes in lower molecular weight proteins in MI patients. The biomarkers that are expected to be detected in the filtrate portions of blood serum samples acquired using 50 kDa centrifugal devices that have a weight less than 50 kDa are cardiac troponin I (cTnI), cardiac troponin T (cTnT), and CK-MB. These filtrate portions of the patients’ blood serum samples are analyzed using SERS analysis in order to identify SERS spectrum characteristics that may be connected to these MI biomarkers. The spectral data are then examined using multivariate data analysis techniques including partial least square regression analysis (PLSR) and principal component analysis (PCA). In this regard, the PLSR model is useful as indicated by coefficient of determination value (R2) for this model which is found to be 0.99 and RMSEC value (1.39), indicating the validity of the model.

Graphical Abstract