ArticleFoods (Basel, Switzerland)2023
Rapid and Non-Invasive Assessment of Texture Profile Analysis of Common Carp (
Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- A Deep Learning-Based System for Prawn Hepatopancreas Identification Based on Image Classification with Interpretability.Foods (Basel, Switzerland) · 2026Article
- Predicting the Freshness of Starch-Coated Snakehead Fish Fillets During Storage Using Hyperspectral Imaging Combined with Transfer Learning.Foods (Basel, Switzerland) · 2026Article
- Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan.Foods (Basel, Switzerland) · 2026Article
- Authentication of Linderae Radix through plant metabolomics coupled with a machine learning-enhancedJournal of pharmaceutical analysis · 2026Article
- Quantitative analysis and visualization of live spotted seabass (Food chemistry: X · 2026Article
- A systematic review of data and models for predicting food flavor and texture.Current research in food science · 2025Review
- Effects of Lysozyme-Supplemented Diets on Muscle Texture and Metabolite Profiles in Yellowfin Seabream (Aquaculture nutrition · 2025Article
- Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturated fatty acids contents in fish.Current research in food science · 2024Article
- Fast Nondestructive Detection Technology and Equipment for Food Quality and Safety.Foods (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Hyperspectral imaging (HSI) has been applied to assess the texture profile analysis (TPA) of processed meat. However, whether the texture profiles of live fish muscle could be assessed using HSI has not been determined. In this study, we evaluated the texture profile of four muscle regions of live common carp by scanning the corresponding skin regions using HSI. We collected skin hyperspectral information from four regions of 387 scaled and live common carp. Eight texture indicators of the muscle corresponding to each skin region were measured. With the skin HSI of live common carp, six machine learning (ML) models were used to predict the muscle texture indicators. Backpropagation artificial neural network (BP-ANN), partial least-square regression (PLSR), and least-square support vector machine (LS-SVM) were identified as the optimal models for predicting the texture parameters of the dorsal (coefficients of determination for prediction (
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.