Optical measurement systems in the food packaging sector and research for the non-destructive evaluation of product quality

Dold, Jasmin; Langowski, Horst‐Christian

doi:10.1016/j.fpsl.2022.100814

Cited by 7 publications

(3 citation statements)

References 74 publications

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“…Another possibility would be the use of hyperspectral imaging. All of these are useable as non-destructive methods for already packed products as well [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

“…Another big advantage is that the measurements are non-destructive in most cases and can therefore be used for the quality evaluation of already packed foodstuffs. There are systems available over a wide range of the optical spectrum, with several advantages and disadvantages, as we already discussed in Dold and Langowski (2022) [ 12 ]. In our work shown here, we used measurement systems based on fluorescence quenching and infrared (IR) spectroscopy.…”

Section: Introductionmentioning

confidence: 99%

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Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage

Dold

Kehr

Hollmann

et al. 2022

Foods

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As poultry is known to be a perishable food, the use-by date is set in such a way that food safety is guaranteed even with a higher initial bacterial count. This means, however, that some products are wasted, even if they are still safe to eat. Therefore, non-destructive measurement devices might be a good opportunity for individual shelf-life prediction, e.g., in retail. The aim of this study was therefore to use non-destructive measurement devices based on fluorescence quenching (oxygen detection) and mid-infrared laser spectroscopy (carbon dioxide detection) for the monitoring of high-oxygen-packed poultry in different storage conditions. During 15 days of storage, the gas composition of the headspace was assessed (non-destructively and destructively), while total plate count was monitored and a comprehensive sensory evaluation was performed by a trained panel. We were able to demonstrate that in most cases, non-destructive devices have comparable precision to destructive devices. For both storage conditions, the sensory attribute slime was correlated with reaching the critical microbiological value of 107 CFU/g; the attribute buttery was also useful for the prediction of regularly stored poultry. The change in the gas atmosphere as a sign of premature spoilage, however, was only possible for samples stored in irregular conditions.

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“…Another possibility would be the use of hyperspectral imaging. All of these are useable as non-destructive methods for already packed products as well [ 12 ].…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage

Dold

Kehr

Hollmann

et al. 2022

Foods

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similarly, the use of nondestructive techniques for evaluating different food quality attributes has grown over the years and has proved to be rapid and accurate in estimating food quality. These include near-infrared spectroscopy, Fourier transform infrared spectroscopy, color and visual spectroscopy, electronic nose and tongue, computer vision (image analysis), ultrasound, X-ray, CT, and magnetic resonance imaging (Jha, 2010;Amoriello et al, 2019;Pu et al, 2019;Wang et al, 2019;Dold and Langowski, 2022;Malvandi et al, 2022). While nondestructive methods are beneficial for quality testing, their implementation necessitates expertise, skill, and experience; besides, data processing can be computationally expensive (Abasi et al, 2018).…”

Section: Food Quality Evaluationmentioning

confidence: 99%

Artificial intelligence in postharvest agriculture: mapping a research agenda

Fadiji,

Bokaba,

Fawole

et al. 2023

Front. Sustain. Food Syst.

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IntroductionThe implementation of artificial intelligence (AI) in postharvest agriculture has significantly improved in recent decades, thanks to extensive scientific research. The study aimed to identify research gaps and hotspots for future research based on keyword co-occurrence and clustering analyses, as well as to discuss the results and highlight the research trends.MethodsThis study analyses research trends in AI application in postharvest agriculture using novel scientometric tools such as the Bibliometrix R package, biblioshiny, and VosViewer. The research analysed 586 published papers on AI application in postharvest agriculture research between 1994 and September 2022, retrieved from the Scopus database.Results and discussionThe results showed that publications on AI applications in postharvest agriculture research have been increasing for almost 30 years, with significant growth in the subject area in the last decade. China, the USA, and India were found to be the top three most productive countries, accounting for 52.4%, 22%, and 18.6% of the total selected publications, respectively. The analysis also revealed that topics such as the Internet of Things, cold chain logistics, big data, decision-making, and real-time monitoring have low development degrees in the knowledge domain. This study demonstrated increased research on AI applications in postharvest agriculture, aiming to reduce postharvest losses, enhance food nutrition and quality, and mitigate food insecurity. It also provides valuable scientific references on AI applications in postharvest agriculture research for researchers and scholars. By identifying research gaps and hotspots, this study can guide future research in AI applications in postharvest agriculture to further improve the industry.

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Antimicrobial and drug delivery aspect of environment-friendly polymer nanocomposites

Šišková¹,

Andicsová²,

Duale³

et al. 2023

Nanocomposites-Advanced Materials for Energy and Environmental Aspects

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Optical measurement systems in the food packaging sector and research for the non-destructive evaluation of product quality

Cited by 7 publications

References 74 publications

Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage

Non-Destructive Measuring Systems for the Evaluation of High Oxygen Stored Poultry: Development of Headspace Gas Composition, Sensory and Microbiological Spoilage

Artificial intelligence in postharvest agriculture: mapping a research agenda

Antimicrobial and drug delivery aspect of environment-friendly polymer nanocomposites

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