Implementation of Multispectral Imaging (MSI) for Microbiological Quality Assessment of Poultry Products

The aim of this study was to investigate on an industrial scale the potential of multispectral imaging (MSI) in the assessment of the quality of different poultry products. Therefore, samples of chicken breast fillets, thigh fillets, marinated souvlaki and burger were subjected to MSI analysis during production together with microbiological analysis for the enumeration of Total Viable Counts (TVC) and Pseudomonas spp. Partial Least Squares Regression (PLS-R) models were developed based on the spectral data acquired to predict the “time from slaughter” parameter for each product type. Results showed that PLS-R models could predict effectively the time from slaughter in all products, while the food matrix and variations within and between batches were identified as significant factors affecting the performance of the models. The chicken thigh model showed the lowest RMSE value (0.160) and an acceptable correlation coefficient (r = 0.859), followed by the chicken burger model where RMSE and r values were 0.285 and 0.778, respectively. Additionally, for the chicken breast fillet model the calculated r and RMSE values were 0.886 and 0.383 respectively, whereas for chicken marinated souvlaki, the respective values were 0.934 and 0.348. Further improvement of the provided models is recommended in order to develop efficient models estimating time from slaughter.

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Quest of Intelligent Research Tools for Rapid Evaluation of Fish Quality: FTIR Spectroscopy and Multispectral Imaging Versus Microbiological Analysis

Foods ◽

10.3390/foods10020264 ◽

2021 ◽

Vol 10 (2) ◽

pp. 264

Author(s):

Maria Govari ◽

Paschalitsa Tryfinopoulou ◽

Foteini F. Parlapani ◽

Ioannis S. Boziaris ◽

Efstathios Z. Panagou ◽

...

Keyword(s):

Ftir Spectroscopy ◽

Spectral Data ◽

Multispectral Imaging ◽

Storage Temperature ◽

Microbiological Quality ◽

Sea Bass ◽

Microbiological Analysis ◽

Pseudomonas Spp ◽

Fish Samples

The aim of the present study was to assess the microbiological quality of farmed sea bass (Dicentrarchus labrax) fillets stored under aerobic conditions and modified atmosphere packaging (MAP) (31% CO2, 23% O2, 46% Ν2,) at 0, 4, 8, and 12 °C using Fourier transform infrared (FTIR) spectroscopy and multispectral imaging (MSI) in tandem with data analytics, taking into account the results of conventional microbiological analysis. Fish samples were subjected to microbiological analysis (total viable counts (TVC), Pseudomonas spp., H2S producing bacteria, Brochothrix thermosphacta, lactic acid bacteria (LAB), Enterobacteriaceae, and yeasts) and sensory evaluation, together with FTIR and MSI spectral data acquisition. Pseudomonas spp. and H2S-producing bacteria were enumerated at higher population levels compared to other microorganisms, regardless of storage temperature and packaging condition. The developed partial least squares regression (PLS-R) models based on the FTIR spectra of fish stored aerobically and under MAP exhibited satisfactory performance in the estimation of TVC, with coefficients of determination (R2) at 0.78 and 0.99, respectively. In contrast, the performances of PLS-R models based on MSI spectral data were less accurate, with R2 values of 0.44 and 0.62 for fish samples stored aerobically and under MAP, respectively. FTIR spectroscopy is a promising tool to assess the microbiological quality of sea bass fillets stored in air and under MAP that could be effectively employed in the future as an alternative method to conventional microbiological analysis.

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Relationships of Microbial Quality of Retail Meat Samples and Sanitary Conditions1

Journal of Food Protection ◽

10.4315/0362-028x-43.5.385 ◽

1980 ◽

Vol 43 (5) ◽

pp. 385-389 ◽

Cited By ~ 24

Author(s):

C. JANE WYATT ◽

V. GUY

Keyword(s):

Bacterial Load ◽

Microbiological Quality ◽

Plate Count ◽

Microbiological Analysis ◽

Food Stores ◽

Aerobic Plate Count ◽

Quality Of Products ◽

Meat Samples ◽

Sanitary Conditions

A sanitation profile scoring form for evaluating sanitation in retail food stores was designed. The profile was tested in 10 Oregon retail markets to evaluate its ability to reflect sanitary conditions. At the time of inspection, samples of meat processed in-store were purchased for microbiological analysis to explore the feasibility of bacterial quality as a measurement of sanitary conditions. Microbiological tests performed included total aerobic plate count (A PC), coliform, Escherichia coli, Staphylococcus aureus, Clostridium perfringens, and Salmonella. Certain deficiencies were noted in the profile designed; however, it provides a means for objective, uniform measurement of sanitary conditions. Data show no correlation exists between microbiological quality of products processed in the store and total store profile sanitary conditions. Fifty percent of the products sampled exceeded bacterial load guidelines currently enforced in Oregon. These “high” counts appear to be directly related to poor temperature control.

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Online Feature Selection for Robust Classification of the Microbiological Quality of Traditional Vanilla Cream by Means of Multispectral Imaging

Sensors ◽

10.3390/s19194071 ◽

2019 ◽

Vol 19 (19) ◽

pp. 4071 ◽

Cited By ~ 1

Author(s):

Alexandra Lianou ◽

Arianna Mencattini ◽

Alexandro Catini ◽

Corrado Di Natale ◽

George-John E. Nychas ◽

...

Keyword(s):

Feature Selection ◽

Multispectral Imaging ◽

Dairy Product ◽

Real Life ◽

Microbiological Quality ◽

Support Vector ◽

Isothermal Conditions ◽

Online Feature Selection ◽

Model Training

The performance of an Unsupervised Online feature Selection (UOS) algorithm was investigated for the selection of training features of multispectral images acquired from a dairy product (vanilla cream) stored under isothermal conditions. The selected features were further used as input in a support vector machine (SVM) model with linear kernel for the determination of the microbiological quality of vanilla cream. Model training (n = 65) was based on two batches of cream samples provided directly by the manufacturer and stored at different isothermal conditions (4, 8, 12, and 15 °C), whereas model testing (n = 132) and validation (n = 48) were based on real life conditions by analyzing samples from different retail outlets as well as expired samples from the market. Qualitative analysis was performed for the discrimination of cream samples in two microbiological quality classes based on the values of total viable counts [TVC ≤ 2.0 log CFU/g (fresh samples) and TVC ≥ 6.0 log CFU/g (spoiled samples)]. Results exhibited good performance with an overall accuracy of classification for the two classes of 91.7% for model validation. Further on, the model was extended to include the samples in the TVC range 2–6 log CFU/g, using 1 log step to define the microbiological quality of classes in order to assess the potential of the model to estimate increasing microbial populations. Results demonstrated that high rates of correct classification could be obtained in the range of 2–5 log CFU/g, whereas the percentage of erroneous classification increased in the TVC class (5,6) that was close to the spoilage level of the product. Overall, the results of this study demonstrated that the UOS algorithm in tandem with spectral data acquired from multispectral imaging could be a promising method for real-time assessment of the microbiological quality of vanilla cream samples.

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Influence of cutting room temperature on the microbiological quality of chicken breast meat

Arquivo Brasileiro de Medicina Veterinária e Zootecnia ◽

10.1590/1678-4162-8153 ◽

2016 ◽

Vol 68 (3) ◽

pp. 814-820 ◽

Cited By ~ 1

Author(s):

A.P.R. Cintra ◽

M.C.G. Andrade ◽

M.M. Lazarini ◽

D.C.S. Assis ◽

G.R. Silva ◽

...

Keyword(s):

Environmental Contamination ◽

Room Temperature ◽

Microbiological Quality ◽

Chicken Breast ◽

Breast Meat ◽

Salmonella Spp ◽

Staphylococcal Enterotoxins ◽

Staphylococcus Spp ◽

Chicken Breast Meat

ABSTRACT The temperature control in the processing room is one of the major factors associated with the production of safe food with a satisfactory microbiological quality. A total of 288 samples of skinless chicken breast meat were placed in a cutting room, subjected to four different temperatures (12ºC, 14ºC, 16ºC and 18ºC) and collected to evaluate the influence of the room temperature on the microbiological quality during the cutting and boning of chicken breasts. Aerobic mesophilic microorganisms were counted to evaluate the environmental contamination. In addition, coliforms at 35ºC and 45ºC and Staphylococcus spp. were counted, and an analysis for the presence of staphylococcal enterotoxins and Salmonella spp. was performed to determine the microbiological quality of the meat. The results showed an increase in environmental contamination (P=0.01) with an increase in room temperature. However, no significant differences (P˃0.05) were observed in the meat cuts regarding the counts of coliforms at 35ºC and 45ºC, the count of Staphylococcus spp. and the presence of Salmonella spp. Moreover, no staphylococcal enterotoxins were detected in the samples analyzed. Thus, despite increasing the environmental contamination, the increase in the cutting room temperature did not affect the microbiological quality of the final product.

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COMPARISON OF MICROBIOLOGICAL QUALITY OF MILK PRODUCTS FROM ORGANIC AND CONVENTIONAL PRODUCTION

Annals of the Polish Association of Agricultural and Agribusiness Economists ◽

10.5604/01.3001.0012.7744 ◽

2018 ◽

Vol XX (6) ◽

pp. 147-153

Author(s):

Anita Kukułowicz

Keyword(s):

Escherichia Coli ◽

Staphylococcus Aureus ◽

Dairy Product ◽

Microbiological Quality ◽

Organic Production ◽

Microbiological Analysis ◽

Milk Products ◽

Significant Difference ◽

Conventional Production

The aim of the research was to compare the microbiological quality of dairy products derived from organic and conventional farming. The test material consisted of milk and milk products (natural yoghurt, cream, curd cheese, rennet ripening cheese, milk). Investigated products were subjected to microbiological analysis and marked for the number of Enterococcus sp., Staphylococcus aureus, yeast and moulds, Escherichia coli as well as to state the presence of Salmonella sp. in them. All samples were free of Salmonella sp. Escherichia coli occurred in 2 samples of curd cheese from organic production. Products derived from organic and conventional production didn’t differ in the average number of microorganisms depending on the type of dairy product, with the exception of ripening rennet cheese, which showed a significant difference in the amount of Staphylococcus aureus.

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Microbiological Analysis of Pharmaceutical Non Injectable Drugs Produced in Dhaka, Bangladesh

Open Access Journal of Microbiology & Biotechnology ◽

10.23880/oajmb-16000160 ◽

2020 ◽

Vol 5 (2) ◽

pp. 1-9

Author(s):

Ahmed T

Keyword(s):

Antibacterial Activity ◽

Microbiological Quality ◽

Bacterial Count ◽

Microbiological Analysis ◽

Pharmaceutical Drugs ◽

Injectable Drugs ◽

Three Samples ◽

Fungal Load ◽

States Pharmacopeia

Pharmaceutical drugs are applied and consumed by the patients with weak immune system and for this reason these products must be of good quality and within the required microbiological limit. Present study attempted to determine the microbiological quality of pharmaceutical non injectable oral and topical drugs as well as their antibacterial activity. A total of sixty samples were studied from different categories of medicine including syrup, tablet & capsule and ointments. Microbiological analysis was done after serial dilution. Antibacterial activity of the samples was also determined by Kirby-Bauer method. The total viable bacterial count of 9 syrups, 7 tablet & capsules and 13 ointments samples exceeded the microbial limit ˂102cfu/ml or cfu/gm recommended by USP (United States Pharmacopeia) and BP (British Pharmacopeia). Regarding to the presence of specific bacteria, about six, six and three samples from syrup, tablet & capsule and ointment samples were of good quality respectively out of twenty samples each. Some drug prevailed good activity towards few bacteria and no activity at all to some others. As the drugs possess antibacterial activity, the contaminants might represent some other species of the same genera of bacteria having some mechanisms to prohibit such activities towards them. More than 50% of the drugs contain higher bacterial and fungal load rendering the quality at risk and not recommended to use by the patients to whom these products will impart most harm as these patients are already immune compromised.

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Microbial Diversity of Betula Trees: Pollen, Catkins, Leaves Relatively of Flowering

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis ◽

10.11118/actaun201664020527 ◽

2016 ◽

Vol 64 (2) ◽

pp. 527-534

Author(s):

Tetiana V. Shevtsova ◽

Jana Petrová ◽

Ján Brindza ◽

Kateryna G. Garkava ◽

Miroslava Kačániová

Keyword(s):

Microbiological Quality ◽

Pollen Grains ◽

Quality Parameters ◽

Coliform Bacteria ◽

Microbiological Analysis ◽

Mesophilic Bacteria ◽

Acceptable Quality ◽

Plating Method ◽

Betula Verrucosa

Quantitative microbiological analysis by dilution plating method of pollen and additional male and female catkins, leaves of Betula verrucosa Ehrh. and its two cultivars: ‘Purpurea’ and ‘Youngii’ relatively of flowering period of Betula has been realized with the aim to provide new knowledge of the microbiological quality of anemophilous pollen for processing and its further application. Qualitative microbiological analysis with MALDI-TOF MS Biotyper was used in the identification of aerobic, anaerobic mesophilic bacteria and coliforms. Mixed microbiota was determined, consisting of aerobic (4.68–4.89 log cfu/g) and anaerobic (3.30–3.48 log cfu/g) mesophilic bacteria, lactobacilli (0–3.48 log cfu/g), coliform bacteria (0–4.57 log cfu/g), fungi and yeast (3.78–3.95 log cfu/g) on the pollen grains, that indicates acceptable quality in comparison with the microbiological quality parameters for bee pollen. Pantoea agglomerans was found associated with pollen of Betula verrucosa Ehrh. Recommendations on the collection of anemophilous pollen were established.

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Microbiological quality study of Apis mellifera honey produced in the Cerrado - MT

Revista Brasileira de Pesquisa em Alimentos ◽

10.14685/rebrapa.v1i1.5 ◽

2010 ◽

Vol 1 (1) ◽

pp. 25

Author(s):

Dayane Aparecida dos Santos ◽

Angela Kwiatkowski ◽

Marcos Vieira da Silva ◽

Dalany Menezes ◽

Lucimar Peres de Moura Pontara

Keyword(s):

Ph Value ◽

Microbiological Quality ◽

Soluble Solids ◽

Most Probable Number ◽

Microbiological Analysis ◽

Mato Grosso ◽

Probable Number ◽

Physical And Chemical ◽

The Town

Monitoring the microbiology of honey is necessary to ensure its final quality. The microbial contamination is a danger to public health, a major concern for the surveillance agency. The objective of this study was to evaluate the microbiological quality of honey produced in the cerrado region, Mato Grosso State. The apiary was installed in the town of Conquista D'Oeste city, a total of 30 boxes of honey covered with asbestos tile and exposed to the sun. The honey was collected in November of 2008. The physical and chemical analysis were carried out: moisture, total soluble solids (TSS) and pH. Microbiological analysis were: mesophilic bacteria facultative aerobic, yeast and mold, Staphylococcus, the most probable number (MPN) of coliforms at 35ºC and 45ºC, and the presence of Salmonella sp. The methods used followed the directions of the Normative Instruction no. 62, August 23, 2003 of Ministério da Agricultura, Pecuária e Abastecimento - MAPA. The pH value resulted in 3.80, SST at 81.5 and humidity at 17 %. Microbiological analysis showed no presence of Salmonella, Staphylococcus and yeast. The count of facultative aerobic bacteria was 5.0 x 101, the two groups of coliforms in NMP was <3.0, and 3.0 x 101 mold. The samples of honey studied showed appropriate microbiological quality. DOI: <a href="http://dx.doi.org/10.14685/rebrapa.v4i1.102">http://dx.doi.org/10.14685/rebrapa.v1i1.5</a>

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Microbiological evaluation of certain fruits and vegetables marketed in the city of Kenitra-Morocco

E3S Web of Conferences ◽

10.1051/e3sconf/202131901112 ◽

2021 ◽

Vol 319 ◽

pp. 01112

Author(s):

Rahma Erahioui ◽

Sultana Inekach ◽

Hassna Jaber ◽

Khadija Atfaoui ◽

Noureddine Rhaim ◽

...

Keyword(s):

Fruits And Vegetables ◽

Microbiological Quality ◽

Fecal Coliforms ◽

Microbiological Analysis ◽

Microbial Quality ◽

Total Absence ◽

Nutritional Qualities ◽

Raw Foods ◽

The City

Fruits and vegetables are essential for human health due to their nutritional qualities, but the consumption of raw foods leads to food safety problems as they are recognized as sources of transmission of infectious diseases. The objective of this work is to assess the microbiological quality of some fruits and vegetables marketed in the Kenitra city. The samples were purchased at the fruit and vegetable markets during the period from April to July 2018.The detection of microorganisms in the samples requires several steps which are weighing, dilution, isolation, enumeration and 'identification. The results of the microbiological analysis of fruits and vegetables studied show significant concentrations of the total aerobic mesophilic flora varies between 2.25 and 8.48 log10 CFU / ml, Concerning total coliforms the contamination rates vary between 1.92 and 8.42 log10UFC / ml, as well as the presence of fecal coliforms between 1.13 and 8.05 log10UFC / ml, in the same samples analyzed, strains such as: Escherichia coli, staphylococcus aureus and a total absence of salmonella and shegilla. In order to improve the safety and hygienic quality of fruits and vegetables, the application of good hygienic practices as well as continuous microbial quality control is necessary to protect the health of consumers.

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Optimal Wavelength Selection for Hyperspectral Imaging Evaluation on Vegetable Soybean Moisture Content during Drying

Applied Sciences ◽

10.3390/app9020331 ◽

2019 ◽

Vol 9 (2) ◽

pp. 331

Author(s):

Peng Yu ◽

Min Huang ◽

Min Zhang ◽

Bao Yang

Keyword(s):

Hyperspectral Imaging ◽

Multispectral Imaging ◽

Imaging System ◽

Hyperspectral Images ◽

Least Squares Regression ◽

Wavelength Selection ◽

Successive Projections Algorithm ◽

Imaging Evaluation ◽

Optimal Wavelength

Hyperspectral imaging technology is a promising technique for nondestructive quality evaluation of dried products. In order to realize real-time, online inspection of quality of dried products, it is necessary to determine a few important wavelengths from hyperspectral images for developing a multispectral imaging system. This study presents a binary firework algorithm (BFWA) for selecting the optimal wavelengths from hyperspectral images for moisture evaluation of dried soybean. Hyperspectral images over the spectral region 400–1000 nm, were acquired for 270 dried soybean samples, and mean reflectance was calculated from hyperspectral images for each wavelength. After selecting 12 important wavelengths using BFWA, a moisture prediction model was developed using partial least squares regression (PLSR). The PLSR model with BFWA achieved a prediction accuracy of R p = 0.966 and R M S E P = 5.105 % , which is better than those of successive projections algorithm ( R p = 0.932 and R M S E P = 7.329 % ), and the uninformative viable elimination algorithm ( R p = 0.928 and R M S E P = 7.416 % ). The results obtained by BFWA were more stable, with a smaller standard deviation of R p and R M S E P than those of the genetic algorithm. The BFWA method provides an effective mean for optimal wavelength selection to predict the quality of soybeans during drying.

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