Non-destructive and rapid determination of TVB-N content for freshness evaluation of grass carp (Ctenopharyngodon idella) by hyperspectral imaging
By Jun‐Hu Cheng, Da‐Wen Sun, Xin‐an Zeng, Hongbin Pu. 2014
126 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biomedical Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/13a3e8799561a5ea5fa62c8f0dae93ab63f8c881
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In Analytical Chemistry
In Biomedical Engineering
In Industrial and Manufacturing Engineering
Citations in the corpus
- Enhancing Visible and Near-Infrared Hyperspectral Imaging Prediction of TVB-N Level for Fish Fillet Freshness Evaluation by Filtering Optimal Variables (2017, methodology): “Although these studies (Chen et al. 2013; Huang et al. 2015; Cheng et al. 2014a, b, c) have confirmed the potential and success of using hyperspectral imagingwith chemometric analysis for prediction of TVB-N level, the accuracies and reliabilities of these reported models are still low and it is…”
- Rapid Quantification Analysis and Visualization of Escherichia coli Loads in Grass Carp Fish Flesh by Hyperspectral Imaging Method (2015, methodology): “The system consisted of an imaging spectrograph, a chargecoupled device (CCD) camera, an illumination system and a computer control system, and the detailed description of the system is available in the literature (Cheng et al. 2014b).”