ArticleFrontiers in plant science2023
Oil content analysis of corn seeds using a hand-held Raman spectrometer and spectral peak decomposition algorithm.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 7 citations in OpenAlex.
- Mung bean seed classification based on multimodal features and Kepler-optimized stacking ensemble learning model.PloS one · 2026Article
- Raman analysis of lipids in cells: Current applications and future prospects.Journal of pharmaceutical analysis · 2025Review
- Correlative Quantitative Raman Chemical Imaging and MCR-ALS in Mouse NASH Model Reveals Direct Relationships between Diet and Resultant Liver Pathology.Chemical & biomedical imaging · 2024Article
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5 authors at 2 institutions in 1 country.
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Abstract
Rapid, non-destructive and reliable detection of the oil content of corn seeds is important for development of high-oil corn. However, determination of the oil content is difficult using traditional methods for seed composition analysis. In this study, a hand-held Raman spectrometer was used with a spectral peak decomposition algorithm to determine the oil contents of corn seeds. Mature and waxy Zhengdan 958 corn seeds and mature Jingke 968 corn seeds were analyzed. Raman spectra were obtained in four regions of interest in the embryo of the seed. After analysis of the spectra, a characteristic spectral peak for the oil content was identified. A Gaussian curve fitting spectral peak decomposition algorithm was used to decompose the characteristic spectral peak of oil at 1657 cm
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