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Surface-enhanced Raman scattering-based detection of plasmin activity by specific peptide substrate
Nazife Nur Yazgan1, Tugba Bulat1, Ali Topcu1
1Department of Food Engineering, Faculty of Engineering, Hacettepe University, Beytepe 06800, Ankara, Turkey.
Food Chemistry
|October 8, 2021
Summary
A new surface-enhanced Raman scattering (SERS) method detects plasmin activity using peptide substrates. This sensitive technique accurately quantifies plasmin in milk samples, offering reliable enzyme detection.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Spectroscopy
Background:
- Plasmin is a key enzyme in various biological processes, including food spoilage.
- Accurate detection of plasmin activity is crucial for quality control in the dairy industry.
- Existing methods for plasmin detection may lack sensitivity or require complex procedures.
Purpose of the Study:
- To develop a novel surface-enhanced Raman scattering (SERS)-based method for sensitive plasmin activity detection.
- To optimize SERS substrates using specific peptide sequences for plasmin.
- To validate the method's performance for plasmin detection in real-world samples like milk.
Main Methods:
- Screening of plasmin-specific peptide sequences for SERS substrate preparation.
- Utilizing Raman spectroscopy to monitor the reduction of a DTNB band (1331 cm⁻¹) indicative of plasmin activity.
- Correlating changes in SERS intensity with varying plasmin concentrations.
Main Results:
- The developed SERS method demonstrated a limit of detection (LOD) of 2.14 U/mL and a limit of quantification (LOQ) of 6.42 U/mL.
- Excellent repeatability was observed with intra-day and inter-day relative standard deviations (RSD) of 1.45% and 1.47%, respectively.
- Successful recovery of plasmin activity was achieved in spiked milk samples, indicating method robustness.
Conclusions:
- The proposed SERS-based method provides a sensitive and reliable approach for detecting plasmin activity.
- The method shows significant potential for application in the quality control of dairy products.
- This technique offers a valuable tool for enzyme activity monitoring in complex biological matrices.

