Academic literature on the topic 'Food spoilage detection'

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Journal articles on the topic "Food spoilage detection"

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Joshi, Atharva, Abhishek Bokil, Ashish Chhajed, Tejas Choudhari, and Atharva Kalamkar. "Food Spoilage Detection System using ESP-8266." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (December 31, 2022): 1013–16. http://dx.doi.org/10.22214/ijraset.2022.48087.

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Abstract: In the modern era of technology and with increasing dependency on smart techniques like mobile phone, there is requirement of solving daily life tasks in a quick and easy ways. The smart technology is becoming the need of hour to take control over the different tasks at home and industries. This paper is based on food detection system using Arduino. The system proposed is based on detection and recognition algorithms The main function of the algorithm is to automatically detect the smell and generates message to user that the food is spoiled. The paper deals with the technologies that use Arduino which employs the programming and sensors. The key feature of computer vision is Arduino for reasons like marketability & lawabiding apps. and secondly after lot of research the accessibility of practical technologies. This area of research finds an important place among different type of researchers and scientists like computer, food & different organizations. The microcontroller panel has the capability to perform functions which include interpreting inputs and outputs and make the sensor to activate. Generally, food is stored in the refrigerator that lowers down the bacteria rate of production. Certain items which are perishable or not used for long term storage are to be detected and informed to the user. This paper is basically discussed to solve the food spoilage through sensors by continuously sensing the signals from the food and also sending the alert message to the registered mobile phone.
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Leite, Liliana, Inês Boticas, Miguel Navarro, Luís Nobre, João Bessa, Fernando Cunha, Pedro Neves, and Raúl Fangueiro. "Halochromic Inks Applied on Cardboard for Food Spoilage Monitorization." Materials 15, no. 18 (September 16, 2022): 6431. http://dx.doi.org/10.3390/ma15186431.

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Control of food spoilage is a critical concern in the current world scenario, not only to ensure the quality and safety of food but also to avoid the generation of food waste. This paper evaluates a dual-sensor strategy using six different pH indicators stamped on cardboard for the detection of spoilage in three different foods: beef, salmon, and strawberries. After function validation and formulation optimizations in the laboratory, the halochromic sensors methyl orange and bromocresol purple 2% (w/v) were stamped on cardboard and, in contact with the previously mentioned foods, were able to produce an easily perceptible signal for spoilage by changing color. Additionally, when it comes to mechanical characterization the inks showed high abrasion (>100 cycles) and adhesion resistance (>91%).
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Genovese, Maria E., Sinoj Abraham, Gianvito Caputo, Gabriele Nanni, Surjith K. Kumaran, Carlo D. Montemagno, Athanassia Athanassiou, and Despina Fragouli. "Photochromic Paper Indicators for Acidic Food Spoilage Detection." ACS Omega 3, no. 10 (October 18, 2018): 13484–93. http://dx.doi.org/10.1021/acsomega.8b02570.

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Dainty, R. H. "Chemical/biochemical detection of spoilage." International Journal of Food Microbiology 33, no. 1 (November 1996): 19–33. http://dx.doi.org/10.1016/0168-1605(96)01137-3.

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AMMOR, MOHAMMED SALIM, CHRISTOS MICHAELIDIS, and GEORGE-JOHN E. NYCHAS. "Insights into the Role of Quorum Sensing in Food Spoilage." Journal of Food Protection 71, no. 7 (July 1, 2008): 1510–25. http://dx.doi.org/10.4315/0362-028x-71.7.1510.

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Food spoilage is a consequence of the degrading enzymatic activity of some food-associated bacteria. Several proteolytic, lipolytic, chitinolytic, and pectinolytic activities associated with the deterioration of goods are regulated by quorum sensing, suggesting a potential role of such cell-to-cell communication in food spoilage. Here we review quorum sensing signaling molecules and methods of their detection and quantification, and we provide insights into the role of quorum sensing in food spoilage and address potential quorum sensing inhibitors that might be used as biopreservatives.
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Ham, Mirim, Soohyun Kim, Wonmok Lee, and Hyunjung Lee. "Fabrication of Printable Colorimetric Food Sensor Based on Hydrogel for Low-Concentration Detection of Ammonia." Biosensors 13, no. 1 (December 23, 2022): 18. http://dx.doi.org/10.3390/bios13010018.

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With the increasing market share of ready-to-cook foods, accurate determination of the food freshness and thus food safety has emerged as a concern. To commercialize and popularize food sensing technologies, food sensors with diverse functionalities, low cost, and facile use must be developed. This paper proposes printable sensors based on a hydrogel-containing pH indicator to detect ammonia gas. The sensors were composed of biocompatible polymers such as 2-hydroxyethyl methacrylate (HEMA) and [2-(methacryloyloxy)ethyl] trimethylammonium chloride (MAETC). The p(HEMA-MAETC) hydrogel sensor with bromothymol blue (BTB) demonstrated visible color change as a function of ammonia concentration during food spoilage. Furthermore, polyacrylonitrile (PAN) was added to improve transport speed of ammonium ions as the matrix in the sensors and optimized the viscosity to enable successful printing. The color changed within 3 min at ammonia concentration of 300 ppb and 1 ppm, respectively. The sensor exhibited reproducibility over 10 cycles and selective exposure to various gases generated during the food spoilage process. In an experiment involving pork spoilage, the color change was significant before and after exposure to ammonia gas within 8 h in ambient conditions. The proposed sensor can be integrated in bar codes and QR codes that are easily mass produced.
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Skandamis, Panagiotis N., and George-John E. Nychas. "Quorum Sensing in the Context of Food Microbiology." Applied and Environmental Microbiology 78, no. 16 (June 15, 2012): 5473–82. http://dx.doi.org/10.1128/aem.00468-12.

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ABSTRACTFood spoilage may be defined as a process that renders a product undesirable or unacceptable for consumption and is the outcome of the biochemical activity of a microbial community that eventually dominates according to the prevailing ecological determinants. Although limited information are reported, this activity has been attributed to quorum sensing (QS). Consequently, the potential role of cell-to-cell communication in food spoilage and food safety should be more extensively elucidated. Such information would be helpful in designing approaches for manipulating these communication systems, thereby reducing or preventing, for instance, spoilage reactions or even controlling the expression of virulence factors. Due to the many reports in the literature on the fundamental features of QS, e.g., chemistry and definitions of QS compounds, in this minireview, we only allude to the types and chemistry of QS signaling moleculesper seand to the (bioassay-based) methods of their detection and quantification, avoiding extensive documentation. Conversely, we attempt to provide insights into (i) the role of QS in food spoilage, (ii) the factors that may quench the activity of QS in foods and review the potential QS inhibitors that might “mislead” the bacterial coordination of spoilage activities and thus may be used as biopreservatives, and (iii) the future experimental approaches that need to be undertaken in order to explore the “gray” or “black” areas of QS, increase our understanding of how QS affects microbial behavior in foods, and assist in finding answers as to how we can exploit QS for the benefit of food preservation and food safety.
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Kim, Hongki, Ba Thong Trinh, Kyung Ho Kim, Jeong Moon, Hyunju Kang, Kwanghyeon Jo, Rashida Akter, et al. "Au@ZIF-8 SERS paper for food spoilage detection." Biosensors and Bioelectronics 179 (May 2021): 113063. http://dx.doi.org/10.1016/j.bios.2021.113063.

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GARCÍA, TERESA, BELÉN MAYORAL, ISABEL GONZÁLEZ, INÉS LÓPEZ-CALLEJA, AMANDA SANZ, PABLO E. HERNÁNDEZ, and ROSARIO MARTÍN. "Enumeration of Yeasts in Dairy Products: A Comparison of Immunological and Genetic Techniques." Journal of Food Protection 67, no. 2 (February 1, 2004): 357–64. http://dx.doi.org/10.4315/0362-028x-67.2.357.

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Enzyme-linked immunosorbent assay (ELISA) and PCR techniques have been developed for the detection of spoilage yeast species in dairy products. Polyclonal antibodies against live yeast cells (AY) were raised in rabbits by inoculation of a mixture of 10 yeast species frequently associated with dairy products spoilage. AY antibodies were used for the development of two ELISA formats (indirect and double-antibody sandwich ELISA) for the detection of yeast species in milk and yogurt. A PCR assay was also developed for yeast detection in dairy products, using primers designed to amplify a conserved 250-base pair fragment of the 18S rRNA of the yeast species. The results obtained in this work show that ELISA techniques using polyclonal antibodies against viable yeast cells are of limited value for the detection and enumeration of spoilage yeast species in dairy products. On the contrary, PCR amplification of a conserved region of the 18S rRNA of the yeast species allows the homogeneous detection of all the yeast species tested and, combined with an overnight enrichment of samples, could be used for the detection of low levels of viable spoilage yeast species in dairy products.
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VENKITANARAYANAN, K. S., M. I. KHAN, C. FAUSTMAN, and B. W. BERRY. "Detection of Meat Spoilage Bacteria by Using the Polymerase Chain Reaction." Journal of Food Protection 59, no. 8 (August 1, 1996): 845–48. http://dx.doi.org/10.4315/0362-028x-59.8.845.

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The growth of spoilage bacteria results in a shorter shelf life of meat, causing economic losses to the meat industry. Based on 23S rDNA sequence data of Pseudomonas aeruginosa, two primers designated as PF (23 bases) and PR (20 bases) were synthesized for use in the polymerase chain reaction. A unique 207-base-pair DNA product from nine different bacteria typically associated with meat spoilage was amplified by the primers. Dot blot analysis with the internal DNA probe specific for the amplified products confirmed that the amplified DNA sequence is specific for the spoilage bacteria studied.
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Dissertations / Theses on the topic "Food spoilage detection"

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Chang, Su-Sen. "Guaiacol producing Alicyclobacillus spp. differentiation, detection, and control /." Pullman, Wash. : Washington State University, 2008. http://www.dissertations.wsu.edu/Dissertations/Fall2008/S_Chang_090208.pdf.

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Hobday, Duncan Stuart. "Development of polyaniline as a sensor for food quality and spoilage detection." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4482.

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This thesis describes the research that has been completed for the application of polyaniline as a food quality indicator. It has been reported by WRAP (Waste and Resources Action Programme) that in the UK alone, a third of all purchased food items are thrown away regardless of the quality or condition. It has also been reported by DEFRA (Department for Environment Food and Rural Affairs) that the food manufacturing and processing industry is one of the UK’s largest producers of land filled waste. At present, the available technology for food freshness determination is largely based on use-by dates which are often recognised as unreliable - or qualitative time temperature indicators (TTIs); which can be costly and do not give an actual measurement of bacterial activity. It is anticipated that the technology produced from this research will give a viable and low cost solution to help minimize preventable food waste from consumers - as well as improving food industry process efficiency, especially in the field of food supply chain management. The sensors being developed employ a conducting polymer film as a sensor which reacts with volatiles evolving from selected food products (salmon and herring). As food biochemically degrades, the concentrations and volumes of these gases change, and this has been studied by analytical techniques such as gas chromatography and SIFT-MS. Food spoilage has also been followed by the growth and identification of specific spoilage bacteria. The sensor exhibits a number of quantifiable physical changes when exposed to differing volatile mixtures produced by the food stuffs. These physical properties include colour and conductivity changes which are distinctive and easily measurable. Correlations have been shown between increases in microbial activity and the change in conductivity of the films. These sensors will be able to inform consumers more reliably when the food is safe to consume as well as providing the food industry with more information on traceability and stock conditions of fresh meat and fish. In the context of the catering industry, these sensors will also aid in the decreasing the number of reported cases of food poisoning by observing - in real-time - the condition and safety of food.
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Kershri, G. "Novel food applications of electronic nose technology for detection of spoilage fungi." Thesis, Cranfield University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392743.

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Bester, Linka. "Detection and identification of wine spoilage microbes using PCR-based DGGE analysis." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/1558.

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Thesis (Msc Food Sc (Food Science))--University of Stellenbosch, 2009.
Grape juice is transformed into wine through the complex processes of alcoholic and malolactic fermentation that is performed by yeasts, lactic acid bacteria and acetic acid bacteria. However, the microbes involved in these processes do not only take part in ensuring the successful production of wine, but also cause spoilage of the wine if their growth is not controlled. Conventional, culture-dependent methods of microbiology have been used as the main technique in detecting and identifying these spoilage microbes. Cultureindependent techniques of molecular biology have recently become more popular in detecting possible spoilage microbes present in must and wine, since it allows the detection and identification of viable, but non-culturable microbes and are not as timeconsuming as conventional microbiological methods. The aim of this study was to investigate the sustainability of polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) analysis in detecting wine spoilage microbes inoculated into sterile saline solution (SSS) (0.85% (m/v) NaCl) and sterile white wine and red wine as single microbial species and as part of mixed microbial populations. Three methods of DNA isolation from SSS, sterile white wine and sterile red wine inoculated with reference microbial strains were compared in terms of DNA concentration and purity, as well as simplicity of the technique. These three DNA isolation methods were the TZ-method, the proteinase K-method and the phenol extraction method. DNA could not successfully be isolated from red wine using any of the three DNA isolation methods. The TZ-method was the method of choice for the isolation of DNA from inoculated SSS and sterile white wine as this technique gave the best results in terms of simplicity, DNA concentration and purity. PCR and DGGE conditions were optimised for the universal primer pair, HDA1-GC and HDA2, the wine-bacteria specific primer pair, WBAC1-GC and WBAC2, and the yeast specific primer pair, NL1-GC and LS2. DNA from Acetobacter pasteurianus, Lactobacillus plantarum, Pediococcus pentosaceus, Oenococcus oeni, Brettanomyces bruxellensis and Saccharomyces cerevisiae were amplified with the appropriate primers and successfully resolved with DGGE analysis. PCR and DGGE detection limits were successfully determined when 106 cfu.ml-1 of the reference microbes, A. pasteurianus, Lb. plantarum, Pd. pentosaceus and B. bruxellensis were separately inoculated into SSS and sterile white wine. It was possible to detect low concentrations (101 cfu.ml-1) with PCR for A. pasteurianus, Lb. plantarum, Grape juice is transformed into wine through the complex processes of alcoholic and malolactic fermentation that is performed by yeasts, lactic acid bacteria and acetic acid bacteria. However, the microbes involved in these processes do not only take part in ensuring the successful production of wine, but also cause spoilage of the wine if their growth is not controlled. Conventional, culture-dependent methods of microbiology have been used as the main technique in detecting and identifying these spoilage microbes. Cultureindependent techniques of molecular biology have recently become more popular in detecting possible spoilage microbes present in must and wine, since it allows the detection and identification of viable, but non-culturable microbes and are not as timeconsuming as conventional microbiological methods. The aim of this study was to investigate the sustainability of polymerase chain reaction (PCR)-based denaturing gradient gel electrophoresis (DGGE) analysis in detecting wine spoilage microbes inoculated into sterile saline solution (SSS) (0.85% (m/v) NaCl) and sterile white wine and red wine as single microbial species and as part of mixed microbial populations. Three methods of DNA isolation from SSS, sterile white wine and sterile red wine inoculated with reference microbial strains were compared in terms of DNA concentration and purity, as well as simplicity of the technique. These three DNA isolation methods were the TZ-method, the proteinase K-method and the phenol extraction method. DNA could not successfully be isolated from red wine using any of the three DNA isolation methods. The TZ-method was the method of choice for the isolation of DNA from inoculated SSS and sterile white wine as this technique gave the best results in terms of simplicity, DNA concentration and purity. PCR and DGGE conditions were optimised for the universal primer pair, HDA1-GC and HDA2, the wine-bacteria specific primer pair, WBAC1-GC and WBAC2, and the yeast specific primer pair, NL1-GC and LS2. DNA from Acetobacter pasteurianus, Lactobacillus plantarum, Pediococcus pentosaceus, Oenococcus oeni, Brettanomyces bruxellensis and Saccharomyces cerevisiae were amplified with the appropriate primers and successfully resolved with DGGE analysis. PCR and DGGE detection limits were successfully determined when 106 cfu.ml-1 of the reference microbes, A. pasteurianus, Lb. plantarum, Pd. pentosaceus and B. bruxellensis were separately inoculated into SSS and sterile white wine. It was possible to detect low concentrations (101 cfu.ml-1) with PCR for A. pasteurianus, Lb. plantarum, iv Pd. pentosaceus, and B. bruxellensis in SSS when amplified with the HDA1-GC and HDA2 primer pair. A PCR detection limit of 102 cfu.ml-1 was determined in sterile white wine for Pd. pentosaceus and 103 cfu.ml-1 for B. bruxellensis using this primer pair. The results obtained from the PCR amplification with the WBAC1-GC and WBAC2 primer pair compared well with the results of the HDA1-GC and HDA2 primer pair. The results from the DGGE detection limits indicated that it was possible to detect lower concentrations (101 – 102 cfu.ml-1) of A. pasteurianus, Lb. plantarum and Pd. pentosaceus with the HDA1-GC and HDA2 primer pair than the WBAC-GC and WBAC2 primer pair (102 – 104 cfu.ml-1). Lower detection limits were also determined for B. bruxellensis amplified with the HDA1-GC and HDA2 primer pair (103 – 104 cfu.ml-1) than with the NL1-GC and LS2 primer pair (105 cfu.ml-1). PCR and DGGE detection limits for the inoculation of A. pasteurianus, Lb. plantarum and B. bruxellensis at an inoculum of 108 cfu.ml-1 as part of mixed populations in SSS and sterile white wine compared well with the results obtained from the reference microbes inoculated as single microbial species. PCR detection limits of 101 cfu.ml-1 were determined for all three reference microbes inoculated as part of mixed populations when amplified with the HDA1-GC and HDA2 and the WBAC1-GC and WBAC2 primer pairs. It was observed that similar or higher DGGE detection limits were obtained for the reference microbes inoculated in sterile white wine (101 – 107 cfu.ml-1) than when inoculated into SSS (101 – 105 cfu.ml-1). PCR-based DGGE analysis proved to be a technique that could be used successfully with the universal, wine-bacteria and yeast specific primer pairs for the detection of A. pasteurianus, Lb. plantarum, Pd. pentosaceus and B. bruxellensis. The culture-independent technique makes the early detection of possible spoilage microbes at low concentrations in wine possible.
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Xiao, Linlin. "Detection of Viable Foodborne Pathogens and Spoilage Microorganisms by Nucleic Acid Amplification Based Platforms." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308284180.

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Botha, Janita J. "Sensory, chemical and consumer analysis of Brettanomyces spoilage in South African wines." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/4141.

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Thesis (MSc Food Sc (Food Science))--University of Stellenbosch, 2010.
ENGLISH ABSTRACT: This study focussed on the sensory effects of the main volatile compounds produced by Brettanomyces yeast causing spoilage in wine. This research firstly aimed to determine the detection thresholds of eight Brett-related spoilage compounds in wine. The second aim was to determine the sensory effect of the four most important Brett-related compounds when present individually in wine. The third aim was to determine the sensory effects of these four compounds when present in wine in a range of combinations, and to further investigate their effect on consumer liking. Finally, this project aimed to investigate the incidence of these compounds in a small range of South African wines. The sensory detection thresholds of 4-ethylphenol, 4-ethylguaiacol, 4-ethylcatechol, 4- vinylphenol, 4-vinylguaiacol, isovaleric acid, isobutyric acid and acetic acid were determined. Apart from 4-ethylcatechol, these values generally agreed well with recent literature where values determined in wine are available. However, the discrepancies highlighted the importance of the effect of the medium (wine) when determining sensory detection thresholds. The use of the median as alternative calculation method was also investigated, and it was found that this method gives more insightful results than the standard American Society of Testing Materials (ASTM E679-04) method. Four compounds, namely 4-ethylphenol, 4-ethylguaiacol, 4-ethylcatechol and isovaleric acid were profiled individually in wine using a trained sensory panel. It was found that all four compounds caused a suppression of the natural berry-like character in the wine, which induced a sick-sweet character. 4-ethylphenol contributed Elastoplast™ and leather aromas in the wine, both of which are commonly associated with Brettanomyces taint. 4-ethylguaiacol added a medicinal aroma to the wine, and 4-ethylcatechol and isovaleric acid were responsible for savoury and pungent aromas, respectively. 4-ethylphenol, 4-ethylguaiacol, 4-ethylcatechol and isovaleric acid were also profiled in combination according to the central composite design. Several univariate and multivariate methods were applied to the dataset obtained. PARAFAC, a multiway method not widely utilized regarding sensory data, was applied to the data, the results of which were complementary to those obtained during univariate and multivariate analyses. It was found that there is a great deal of interaction between the four compounds profiled in terms of sensory effects. The most notable was the Elastoplast™ attribute, the intensity of which was affected by all four compounds. The pungent attribute was also affected by the 4-ethylphenol concentration. Consumer analysis revealed that some of the samples spiked with Brettanomyces-spoilage compounds were preferred to the unspiked (control sample). However, no further relationship could be found between consumer liking and either chemical composition or sensory profile. It is therefore speculated that consumer liking of Brettanomyces infected wine is driven by more complex sensory or socio-demographic factors. Finally, the concentration of 4-ethylphenol, 4-ethylguaiacol, 4-ethylcatechol, 4-vinylphenol, 4- vinylguaiacol, isovaleric acid, isobutyric acid and acetic acid was determined in a small set of South African wines, selected to contain a high proportion of wines spoiled by Brettanomyces. Significant correlations were found between 4-ethylphenol and 4-ethylguaiacol, as well as 4- ethylphenol and isovaleric acid. However, no correlation could be found between 4-ethylphenol and 4-ethylcatechol. It is speculated that this lack of relationship is due to the different precursor profiles present in the analysed wines. This study paved the way for future investigations on the sensory effects of Brettanomyces spoilage in Pinotage red wine.
AFRIKAANSE OPSOMMING: Hierdie studie het gefokus op die sensoriese invloed van die belangrikste vlugtige komponente wat deur die Brettanomyces gis geproduseer word en bederf veroorsaak in wyn. Eerstens is gefokus op die bepaling van die deteksiedrempelwaardes van agt Brett-verwante bederwende komponente. Die tweede doelwit was om die sensoriese invloed van vier van die mees belangrike Brett-komponente te bepaal wanneer hulle individueel in wyn voorkom. Die derde doelwit was om die sensoriese invloed van hierdie vier komponente te bepaal wanneer hulle in verskillende kombinasies in wyn voorkom, asook die effek daarvan op verbruikervoorkeur. Laastens is gepoog om die voorkoms van hierdie komponente in ‘n klein seleksie van Suid- Afrikaanse wyne te bepaal. Die sensoriese deteksiedrempelwaardes vir 4-etielfenol, 4-etielguaiacol, 4-etielcatechol, 4- vinielfenol, 4-vinielguaiacol, isovaleraatsuur, isobuteraatsuur en asynsuur is bepaal. Met die uitsondering van 4-etielcatechol het die waardes oor die algemeen goed ooreengestem met waardes wat onlangs in die wetenskaplike literatuur gepubliseer is. Die uitsonderings het egter die belangrikheid van die medium (wyn) gedurende die bepaling van sensoriese deteksiedrempelwaardes uitgelig. Die gebruik van die mediaan as ‘n alternatiewe berekeningsmetode is ook ondersoek en daar is gevind dat hierdie metode meer insiggewende resultate lewer as die standaard American Society of Testing Materials (ASTM E679-04) metode. Vier komponente naamlik 4-etielfenol, 4-etielguaiacol, 4-etielcatechol en isovaleraatsuur is individueel in wyn geprofileer met behulp van ‘n opgeleide sensoriese paneel. Daar is gevind dat al vier die komponente die natuurlike bessiekarakter in die wyn onderdruk terwyl dit aanleiding gee tot ‘n onnatuurlike soet karakter. 4-etielfenol is gekenmerk aan Elastoplast™ en leeragtige aromas in die wyn en beide van hulle word algemeen geassosieer met Brettanomyces bederf. 4-etielguaiacol het ‘n medisinale aroma tot die wyn toegevoeg en 4- etielcatechol en isovaleraatsuur het respektiewelik souterige (“savoury”) en sterk (“pungent”) aromas tot gevolg gehad. 4-etielfenol, 4-etielguaiacol, 4-etielcatechol en isovaleraatsuur is ook in verskeie kombinasies geprofileer volgens die sentrale saamgestelde ontwerp (“central composite design”). Verskeie enkelveranderlike en meerveranderlike statistiese analisemetodes is ook op die datastel uitgevoer. PARAFAC, ‘n meerrigtingsmetode wat nie normaalweg vir sensoriese analise data gebruik word nie, is ook uitgevoer op die data en die resultate was komplimentêr tot die van die enkelveranderlike en meerveranderlike analisemetodes. Daar is gevind dat, met betrekking tot sensoriese effekte, daar noemenswaardige interaksie tussen die vier komponente plaasvind. Die mees opmerklike hiervan was die Elastoplast™ aroma, waarvan die intensiteit deur al vier die ander komponente geaffekteer is. Verder is die sterk (“pungent”) aroma beïnvloed deur die 4-etielfenol konsentrasie. Verbruikersvoorkeur-analise het aangedui dat sommige van die monsters waarby Brettanomyces bederwende komponente gevoeg is, verkies word bó die kontrole-wyn. Daar kon egter geen verdere verband gevind word tussen die verbruiker se voorkeur en, nog die chemise komposisie of sensoriese profiele, van die wyn nie. Daar kan dus gespekuleer word dat verbruiker voorkeur van Brettanomyces bederfde wyn gedryf word deur meer komplekse en sosio-demografiese faktore. Laastens is die konsentrasies van 4-etielfenol, 4-etielguaiacol, 4-etielcatechol, 4-vinielfenol, 4- vinielguaiacol, isovaleraatsuur, isobuteraatsuur en asynsuur in ‘n seleksie van Suid-Afrikaanse wyne bepaal. Dié wyne is spesifiek so gekies sodat ‘n aansienlike aantal van hulle met Brettanomyces bederf was. Betekenisvolle korrelasies is gevind tussen 4-etielfenol and 4- etielguaiacol, sowel as 4-etielfenol en isovaleraatsuur. Daar is egter geen korrelasie tussen 4- etielfenol and 4-etielcatechol gevind nie. Daar word vermoed dat hierdie gebrek aan korrelasie te wyte is aan die voorloperkomponent profiele teenwoordig in die wyne. Hierdie studie het die weg gebaan vir verdere ondersoeke na die sensoriese effekte van Brettanomyces bederf in Pinotage rooi wyn.
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Raut, Nilesh G. "BIOSENSING SYSTEMS FOR THE DETECTION OF BACTERIAL QUORUM SENSING MOLECULES: A TOOL FOR INVESTIGATING BACTERIA-RELATED DISORDERS AND FOOD SPOILAGE PREVENTION." UKnowledge, 2012. http://uknowledge.uky.edu/chemistry_etds/13.

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Quorum sensing enables bacteria to communicate with bacteria of the same or different species, and to modulate their behavior in a cell-density dependent manner. Communication occurs by means of small quorum sensing signaling molecules (QSMs) whose concentration is proportional to the population size. When a QSM threshold concentration is reached, certain genes are expressed, thus allowing control of several processes, such as, virulence factor production, antibiotic production, and biofilm formation. Not only many pathogenic bacteria are known to produce QSMs, but also QSMs have been identified in some bacteria-related disorders. Therefore, quantitative detection of QSMs present in clinical samples may be a useful tool in the investigation and monitoring of bacteria-related diseases, thus prompting the use of QSMs as biomarkers of disease. Herein, we have developed and utilized whole-cell biosensing systems and protein based biosensing systems to detect QSMs in clinical samples, such as, saliva, stool, and bowel secretions. Additionally, since bacteria are responsible for food spoilage, we employed the developed biosensing systems to detect QSMs in food samples and demonstrated their applicability for early identification of food contamination. Furthermore, we have utilized these biosensing systems to screen antibacterial compounds employed for food preservation, namely, generally regarded as safe (GRAS) compounds, for their effect on quorum sensing.
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Book chapters on the topic "Food spoilage detection"

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Fathima, Aksa, Tafadzwa Justin Chiome, Archer Ann Catherine, Chukwuebuka Egbuna, Raghu Ram Achar, and Asha Srinivasan. "Smart Use of Nanomaterials as Sensors for Detection and Monitoring of Food Spoilage." In Application of Nanotechnology in Food Science, Processing and Packaging, 169–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98820-3_11.

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Prathyusha, A. M. V. N., Harish Annavarapu, and Pallaval Veera Bramhachari. "Methods for the Detection and Quantification of Quorum-Sensing Signals in Food Spoilage." In Implication of Quorum Sensing and Biofilm Formation in Medicine, Agriculture and Food Industry, 251–67. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9409-7_16.

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Dantas Vanetti, Maria Cristina, and Solimar Gonçalves Machado. "Spoilage Detection." In Handbook of Dairy Foods Analysis, 699–711. 2nd ed. Second edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780429342967-38.

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Kurtzman, C. "Detection, identification and enumeration methods for spoilage yeasts." In Food spoilage microorganisms. CRC Press, 2006. http://dx.doi.org/10.1201/9781439824573.ch2.

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Cousin, M. "Detection, enumeration and identification methods for spoilage molds." In Food spoilage microorganisms. CRC Press, 2006. http://dx.doi.org/10.1201/9781439824573.ch3.

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Goodacre, R., and D. Ellis. "Quantitative detection and identification methods for microbial spoilage." In Food spoilage microorganisms. CRC Press, 2006. http://dx.doi.org/10.1201/9781439824573.pt1.

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Kurtzman, C. P. "Detection, identification and enumeration methods for spoilage yeasts." In Food Spoilage Microorganisms, 28–54. Elsevier, 2006. http://dx.doi.org/10.1533/9781845691417.1.28.

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Ellis, D. I., and R. Goodacre. "Quantitative detection and identification methods for microbial spoilage." In Food Spoilage Microorganisms, 3–27. Elsevier, 2006. http://dx.doi.org/10.1533/9781845691417.1.3.

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Cousin, M. A. "Detection, enumeration and identification methods for spoilage molds." In Food Spoilage Microorganisms, 55–85. Elsevier, 2006. http://dx.doi.org/10.1533/9781845691417.1.55.

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"Detection and Enumeration." In Handbook of Food Spoilage Yeasts, Second Edition, 203–20. CRC Press, 2007. http://dx.doi.org/10.1201/9781420044942.ch8.

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Conference papers on the topic "Food spoilage detection"

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Fang, Sun. "Design of Intelligent Detection System for Food Spoilage." In 2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2018. http://dx.doi.org/10.1109/icicta.2018.00050.

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Paul, Rinika, Sanketh B. Prabhu, and Sudha Yadav. "FPGA based Intelligent Food Spoilage Detection for Commercial Storage." In 2022 International Conference on Edge Computing and Applications (ICECAA). IEEE, 2022. http://dx.doi.org/10.1109/icecaa55415.2022.9936415.

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Megalingam, Rajesh Kannan, Gadde Sakhita Sree, Gunnam Monika Reddy, Inti Rohith Sri Krishna, and L. U. Suriya. "Food Spoilage Detection Using Convolutional Neural Networks and K Means Clustering." In 2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE). IEEE, 2019. http://dx.doi.org/10.1109/rdcape47089.2019.8979114.

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Nadeem, F., J. Mandon, S. M. Cristescu, and F. J. M. Harren. "External Cavity-Quantum Cascade Laser for Sensitive Detection of Volatiles Emitted During Food Spoilage." In Laser Applications to Chemical, Security and Environmental Analysis. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/lacsea.2016.lm4g.5.

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Arampongpun, R., P. Ounsawatdipong, K. Trakoontiwakorn, C. Thanachayanont, and P. Pungetmongkol. "Modified Co-doped ZnO nanostructures on SPCE for Xanthine detection in early food spoilage." In 2022 IEEE 22nd International Conference on Nanotechnology (NANO). IEEE, 2022. http://dx.doi.org/10.1109/nano54668.2022.9928589.

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