Rapid and non-invasive detection of fish microbial spoilage by visible and near infrared hyperspectral imaging and multivariate analysis
By Jun‐Hu Cheng, Da‐Wen Sun. 2015
140 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Animal Science and Zoology, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/1c914fcae4429ad274266574d4aada54191f845b
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In Analytical Chemistry
In Animal Science and Zoology
In Biomedical Engineering
Citations in the corpus
- Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, methodology): “Previous studies have indicated that SPA is a very good algorithm for variable selection and can be used in combination with different multivariate calibration methods such as PLS, MLR (Liu et al., 2009), and LS-SVM (Cheng and Sun, 2015) to build the linear and nonlinear models in spectral analysis.”
- Essential oils for antimicrobial and antioxidant applications in fish and other seafood products (2017, methodology): “…microbial growth parameters such as total viable counts (TVC), mesophilic aerobic 119 counts (MAC), and aerobic plate count (APC) have been used to gives a quantitative idea 120 about the presence of microorganisms in the investigated sample (Cheng & Sun, 2015; 121 Rodrigues et al., 2016).”