Evaluation of baking performance by means of mid-infrared imaging

Takacs, R.; Jovičić, Vojislav; Zbogar-Rasic, Ana; Geier, Dominik; Delgado, Antonio; Becker, Thomas

doi:10.1016/j.ifset.2020.102327

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…The signal generated contains information that can be detected at a tissue depth [ 5 ]. Unlike optical tomography, the integration of near-infrared spectroscopy with ultrasound detection eliminates wave scattering issues [ 6 ]. By simultaneously utilizing the capabilities of the integrated systems, hybrid imaging techniques make it possible to improve the quality of the resulting images compared to what each system alone can produce.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology

Salih

ALWAN²,

Opulencia

et al. 2023

BioMed Research International

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One of the primary indicators of plaque vulnerability is the lipid composition of atherosclerotic plaques. Therefore, the medical industry requires a method to evaluate necrotic nuclei in atherosclerosis imaging with sensitivity. In this regard, photoacoustic imaging is a plaque detection method that provides chemical information on lipids and cholesterol thickness in the arterial walls of the patient. This aspect aims to increase the low-frequency axial resolution by developing a new photoacoustic-based system. A photoacoustic system has been developed to detect the cholesterol thickness of the blood vessels to observe the progression of plaque in the heart’s blood vessels. The application of the coherent photoacoustic discontinuous correlation tomography technique, which is based on a novel signal processing, significantly increased the cholesterol oleate’s sensitivity to plaque necrosis. By enhancing the quality of thickness detection, the system for measuring the thickness of cholesterol in blood vessels has been reduced to approximately 23 microns. The results show that the phase spectrum peaked at 100 Hz at 58.66 degrees, and at 400 Hz, the phase spectrum was 46.37 degrees. The minimum amplitude is 1.95 at 100 Hz and 17.67 at 400 Hz. In conclusion, it can be stated that photoacoustic imaging as a method based on new technologies is of great importance in medical research, which is based on the use of nonionizing radiation to perform diagnostic processes and measure different types of body tissues.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology

Salih

ALWAN²,

Opulencia

et al. 2023

BioMed Research International

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“…The results demonstrated the feasibility of pulsed thermography to discriminate between bruised and healthy blueberries. Most recently, in the food processing sector, a study conducted by [183] indicated the possibility of monitoring and evaluating ovens systems through MIR imaging. Where this study aims to demonstrate the applicability of thermal imaging with image processing for the real-time evaluation of oven systems.…”

Section: Mid and Far Infrared Imagingmentioning

confidence: 99%

Thoughts for Foods: Imaging Technology Opportunities for Monitoring and Measuring Food Quality

Eissa¹,

Helyes²,

Romano³

et al. 2022

A Glance at Food Processing Applications

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In recent decades, the quality and safety of fruits, vegetables, cereals, meats, milk, and their derivatives from processed foods have become a serious issue for consumers in developed as well as developing countries. Undoubtedly, the traditional methods of inspecting and ensuring quality that depends on the human factor, some mechanical and chemical methods, have proven beyond any doubt their inability to achieve food quality and safety, and thus a failure to achieve food security. With growing attention on human health, the standards of food safety and quality are continuously being improved through advanced technology applications that depend on artificial intelligence tools to monitor the quality and safety of food. One of the most important of these applications is imaging technology. A brief discussion in this chapter on the utilize of multiple imaging systems based on all different bands of the electromagnetic spectrum as a principal source of various imaging systems. As well as methods of analyzing and reading images to build intelligence and non-destructive systems for monitoring and measuring the quality of foods.

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“…In addition, sensors have been used to measure and optimise the performance of unit operations that have a large carbon footprint (Pereira et al, 2016). A particular focus on the use of sensors within food and drink manufacturing is for monitoring the key quality parameters of products (e.g., Takacs et al, 2020). Although these measurements are primarily used for safety and quality control, this also impacts on the sustainability of the process as any product deemed to be of unacceptable quality is often sent to waste or reworked into another product, requiring the use of additional resources.…”

Section: Online Sensorsmentioning

confidence: 99%

Intelligent Sensors for Sustainable Food and Drink Manufacturing

Watson

Bowler

Rady

et al. 2021

Front. Sustain. Food Syst.

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Food and drink is the largest manufacturing sector worldwide and has significant environmental impact in terms of resource use, emissions, and waste. However, food and drink manufacturers are restricted in addressing these issues due to the tight profit margins they operate within. The advances of two industrial digital technologies, sensors and machine learning, present manufacturers with affordable methods to collect and analyse manufacturing data and enable enhanced, evidence-based decision making. These technologies will enable manufacturers to reduce their environmental impact by making processes more flexible and efficient in terms of how they manage their resources. In this article, a methodology is proposed that combines online sensors and machine learning to provide a unified framework for the development of intelligent sensors that work to improve food and drink manufacturers' resource efficiency problems. The methodology is then applied to four food and drink manufacturing case studies to demonstrate its capabilities for a diverse range of applications within the sector. The case studies included the monitoring of mixing, cleaning and fermentation processes in addition to predicting key quality parameter of crops. For all case studies, the methodology was successfully applied and predictive models with accuracies ranging from 95 to 100% were achieved. The case studies also highlight challenges and considerations which still remain when applying the methodology, including efficient data acquisition and labelling, feature engineering, and model selection. This paper concludes by discussing the future work necessary around the topics of new online sensors, infrastructure, data acquisition and trust to enable the widespread adoption of intelligent sensors within the food and drink sector.

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Evaluation of baking performance by means of mid-infrared imaging

Cited by 7 publications

References 15 publications

[Retracted] Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology

[Retracted] Evaluation of Cholesterol Thickness of Blood Vessels Using Photoacoustic Technology

Thoughts for Foods: Imaging Technology Opportunities for Monitoring and Measuring Food Quality

Intelligent Sensors for Sustainable Food and Drink Manufacturing

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