Towards the non-invasive assessment of staling in bovine hides with hyperspectral imaging

Yang, Liu; Dixit, Yash; Reis, Marlon M.; Prabakar, Sujay

doi:10.1016/j.saa.2022.122220

Cited by 5 publications

(5 citation statements)

References 35 publications

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“…HSI is an efficient and non-destructive detection method that can obtain complete spectral and spatial information of the sample and enable visual analysis of various components in the sample. The use of HSI allows for pixel-level monitoring of marinade concentrations [14], and comparison of this result with data obtained from simulations in COMSOL can indicate the feasibility of the Gaidao solution.…”

Section: Hyperspectral Imaging Systemsmentioning

confidence: 99%

“…Hyperspectral images contain hundreds of continuous bands of images, which contain not only the spectral information of the sample, but also a lot of useless background spectral information, making the spectral images large in data and redundant in information [14]. After acquiring the spectral information of a sample, different pre-processing methods are used to correct the full spectrum in time to eliminate scattering effects and useless high-frequency noise interference during the shooting process and to highlight the characteristic peaks in the spectral information [22].…”

Section: Spectroscopic Data Analysismentioning

confidence: 99%

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Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology

Li,

Shi,

Huang

et al. 2024

Foods

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As a traditional Chinese dish cutting technology process, Gaidao artificially create cuts embedded in the food surface by cutting through it with knife, a process that currently plays an important role in the beef marinating process. And different Gaidao processes directly affect the beef marination flavour and marination efficiency. This study is the first to propose the use of Hyperspectral imaging technology (HSI) combined with finite element analysis to investigate the effect of Gaidao process on the quality of marinated beef. The study was carried out by collecting spectral information of beef marinated with different sucrose concentrations and combining various pre-processing methods and algorithms such as PLS, BiPLS, iPLS, and SiPLS to establish a quantitative model of sucrose concentration in beef, and finally optimizing parameters such as the length, position and number of Gaidao by Finite Element Analysis (FEA), which showed that when marinated with 1.0 mol/m³ sucrose solution, the concentration of sucrose in all tissues in the Gaidao steak reached 0.8 mol/m³ and above, which greatly improved the diffusion effect of the marinade. This work provides new ideas and methods to optimize the beef marinade Gaidao process, which has important practical value and research significance.

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Section: Hyperspectral Imaging Systemsmentioning

confidence: 99%

Section: Spectroscopic Data Analysismentioning

confidence: 99%

Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology

Li,

Shi,

Huang

et al. 2024

Foods

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“…The hyperspectral images were classified using the Spectral Angle Mapper (SAM) image processing algorithm. Multiple linear regression [13] [207] and partial least squares (PLS) [13] [15][68] [74][75] [207] in HSI involve modeling the relationship between multiple spectral bands and a specific target variable, such as chemical composition or material properties. By considering the linear combinations of spectral bands and exploiting latent variables, PLS enhances the predictive power, making it a valuable tool for quantitative analysis in hyperspectral remote sensing.…”

Section: A Algorithms Usedmentioning

confidence: 99%

“…In [74], the study investigates the use of HSI to predict microbial contamination in stored bovine hide samples by predicting aerobic plate counts (APC). HSI, combined with partial least squares regression, showed good accuracy in predicting APC levels, indicating its potential as a non-invasive tool for real-time grading of hides and improving efficiency in leather processing.…”

Section: E Industrial Manufacturing Management and Conservationmentioning

confidence: 99%

Hyperspectral Imaging Algorithms and Applications: A Review

Akewar,

Chandak

2023

Preprint

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<p>The paper covers topics ranging from hyperspectral imaging applications to innovative algorithms that have enhanced the analysis of hyperspectral data. We delve into the practical applications, including Agriculture, Food Quality and Safety, Earth Sciences, Exploration and Monitoring, Healthcare, Pharmaceuticals, Medical Imaging, Industrial Manufacturing, Management, Conservation, Safety and Security. Our goal is to provide a holistic understanding of how hyperspectral imaging is transforming these fields and driving new possibilities. We also discussed detailed algorithmic development in Hyperspectral Imaging including Supervised and Unsupervised algorithms. We reviewed algorithmic development from the early 1980’s to recent developments including Artificial Intelligence involving algorithms from Machine Learning to Deep Learning. We believe our paper will be of particular interest to your readers for those who wish to study algorithm development from simple image processing procedures to AI based approaches and how these algorithms are used in diverse applications to make intelligent decisions for increasing productivity and efficiency in Agriculture, Exploration and Management and identification of diseases and natural resources. Our paper is well organized into various sections as per algorithms and applications. We reviewed more than 250 papers with proper citations and authors' research work.</p>

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“…Over the years, near infrared (NIR) spectroscopy combined with chemometric techniques has been showcased due to its potential to monitor product quality and ensure food safety in different fields [ 27 , 28 , 29 , 30 ]. NIR spectroscopy combined with chemometric techniques has been employed to determine the total viable counts and other microbial parameters in a diverse set of food samples (e.g., beef and pig meat, and fish) [ 31 , 32 , 33 , 34 , 35 ]. However, to date no research has been reported on the utilization of NIR spectroscopy to predict yeast or mould counts in BSFL.…”

Section: Introductionmentioning

confidence: 99%

Near Infrared Spectroscopy for Prediction of Yeast and Mould Counts in Black Soldier Fly Larvae, Feed and Frass: A Proof of Concept

Alagappan

Dong

Mikkelsen

et al. 2023

Sensors

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The use of black soldier fly larvae (BSFL) grown on different organic waste streams as a source of feed ingredient is becoming very popular in several regions across the globe. However, information about the easy-to-use methods to monitor the safety of BSFL is a major step limiting the commercialization of this source of protein. This study investigated the ability of near infrared (NIR) spectroscopy combined with chemometrics to predict yeast and mould counts (YMC) in the feed, larvae, and the residual frass. Partial least squares (PLS) regression was employed to predict the YMC in the feed, frass, and BSFL samples analyzed using NIR spectroscopy. The coefficient of determination in cross validation (R2CV) and the standard error in cross validation (SECV) obtained for the prediction of YMC for feed were (R2cv: 0.98 and SECV: 0.20), frass (R2cv: 0.81 and SECV: 0.90), larvae (R2cv: 0.91 and SECV: 0.27), and the combined set (R2cv: 0.74 and SECV: 0.82). However, the standard error of prediction (SEP) was considered moderate (range from 0.45 to 1.03). This study suggested that NIR spectroscopy could be utilized in commercial BSFL production facilities to monitor YMC in the feed and assist in the selection of suitable processing methods and control systems for either feed or larvae quality control.

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Towards the non-invasive assessment of staling in bovine hides with hyperspectral imaging

Cited by 5 publications

References 35 publications

Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology

Study on the Diffusion and Optimization of Sucrose in Gaido Seak Based on Finite Element Analysis and Hyperspectral Imaging Technology

Hyperspectral Imaging Algorithms and Applications: A Review

Near Infrared Spectroscopy for Prediction of Yeast and Mould Counts in Black Soldier Fly Larvae, Feed and Frass: A Proof of Concept

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