| Download | - View final version: Quantitative paper-based SERS method for the rapid determination of sulfur amino acid residues in Pisum sativum (PDF, 2.3 MiB)
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| DOI | Resolve DOI: https://doi.org/10.1016/j.meafoo.2025.100240 |
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| Author | Search for: Findlay, Catherine Rui Jin1ORCID identifier: https://orcid.org/0000-0002-9304-1033; Search for: Ukoji, Obasi Ukpai1; Search for: Mundhada, Sristi1; Search for: Polley, Brittany2; Search for: Ko, Alex Chun-Te3; Search for: Bhowmik, Pankaj2ORCID identifier: https://orcid.org/0000-0002-9420-2791; Search for: Paliwal, Jitendra1, 4ORCID identifier: https://orcid.org/0000-0002-1665-3626 |
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| Affiliation | - University of Manitoba
- National Research Council Canada. Aquatic and Crop Resource Development
- National Research Council Canada. Office of Facilities Renewal Management
- The University of Winnipeg
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| Funder | Search for: Mitacs; Search for: Saskatchewan Pulse Growers; Search for: Natural Sciences and Engineering Research Council of Canada; Search for: National Research Council Canada |
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| Format | Text, Article |
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| Subject | sulfur amino acids; plant-based protein; cysteine; surface-enhanced Raman spectroscopy (SERS); self-assembled monolayer (SAM) |
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| Abstract | It is known that peas, a sustainable ingredient in plant-based meat analogs and other proteinaceous food products, contain low levels of sulfur amino acid (SAA) residues. Developing additional inexpensive and rapid methods for determining SAA residues in protein is key to alleviating or resolving any concerns of possible micronutrient deficiencies associated with pea protein. This study evaluated surface-enhanced Raman spectroscopy (SERS) and the quantification of nascent signals stemming from cysteine residues in complex sample matrix solutions with low concentrations of analytes chemisorbed to silver using timed exposures. Silver nanoparticle printed SERS (Ag P-SERS) substrates showed a dynamic range of 1–9 ppm for cysteine and 0–42,000 ppm for bovine serum albumin (BSA). A distinct peak at 667 cm-1 in the SERS spectra of pea extracts corresponded to the ν(C-S) stretching mode of cysteine residues. The results demonstrate that low levels of Cys could be rapidly quantified with SERS and used to differentiate pea flour from 10 cultivars. This scientific development could have a far-reaching impact on the development of plant-based protein sources with nutritional profiles that rival those of animal proteins. |
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| Publication date | 2025-07-06 |
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| Publisher | Elsevier Ltd. |
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| Copyright statement | |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 9f862dd6-f44d-45d1-a5ca-78f813381882 |
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| Record created | 2026-02-27 |
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| Record modified | 2026-02-27 |
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