Dissertations / Theses on the topic 'Food odour'
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Solina, Marica, University of Western Sydney, of Science Technology and Environment College, and Centre for Advanced Food Research. "Investigations on aroma development in wheat and soy extrudates." THESIS_CSTE_CAFR_Solina_M.xml, 2001. http://handle.uws.edu.au:8081/1959.7/525.
Full textDoctor of Philosophy (PhD)
Sörensen, Ida. "Meerkats (Suricata suricatta) are able to detect hidden food using olfactory cues." Thesis, Linköpings universitet, Biologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-151238.
Full textSolina, Marica. "Investigations on aroma development in wheat and soy extrudates." Thesis, View thesis, 2001. http://handle.uws.edu.au:8081/1959.7/525.
Full textMarshall, Joanna. "The microbial ecology of the human foot." Thesis, University of Leeds, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328884.
Full textSingleton-Jones, Nicola. "A fundamental study into odour in footwear." Thesis, Nottingham Trent University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389685.
Full textYiin, Yeh-Min 1975. "Acquisition of odor-cued fasting-anticipatory satiety in rats." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29489.
Full textMahony, Amy. "Effect of color on the odor, flavor, and acceptance properties of foods and beverages." Kansas State University, 2011. http://hdl.handle.net/2097/9188.
Full textFood Science Institute -- Human Nutrition
Koushik Adhikari
A significant increase in the number of products carried in supermarkets has lead manufacturers to use food color as a way to differentiate their products from competitor’s products or as a form of communication. This report’s overall objective was to review the impact of color on sensory properties of foods and beverages and help product developers understand the multiple sensory properties within a food or beverage that may potentially change by manipulating color. The effect of color on flavor or odor identification, basic taste perception, flavor or odor intensity, quality and refreshment, and consumer acceptance has been extensively researched. Research to date has shown inconsistent findings, although key themes are consistent. Some colors are more appropriate for certain foods and beverages, and product color can be directly linked to palatability. Color cues can be used for flavor identification within a food or beverage, and the presence of certain colors evoke flavor associations within a product. Perceived intensities of basic taste or flavor attributes have increased or decreased merely with color addition. Consumers use color cues to determine quality, therefore color can ultimately affect product acceptance.
Carreira, Laura Regula Eustáquio. "Influência do odor de alimentos no proteoma salivar: o caso particular do odor do pão." Master's thesis, Universidade de Évora, 2019. http://hdl.handle.net/10174/27215.
Full textKendal-Reed, Martin Stuart. "Human infant olfaction : responses to food odours measured by brain electrical activity mapping (B.E.A.M.)." Thesis, University of Warwick, 1990. http://wrap.warwick.ac.uk/91144/.
Full textWhite, Peter Richard. "The responses of the saw-toothed grain beetle Oryzaephilus surinamensis to pheromones and food odours." Thesis, University of Oxford, 1987. http://ora.ox.ac.uk/objects/uuid:9b87541d-76a9-4d7d-bf59-9c852cf86708.
Full textLi, Zhenfeng 1968 Oct 9. "Aroma detection and control in passive and dynamic food systems for superior product." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=115879.
Full textPassive aroma detection of unprocessed foods and dynamic aroma detection during food processing was undertaken using a fast GC analyzer -- zNose. During the study on the passive aroma detection, the aroma of Chinese spirits (Fenjiu) and mango (Mangifera indica L.) fruits, (i.e., liquid and solid states, respectively) was analyzed. In the study of Chinese spirits, aroma profiles of Fenjiu liquor samples of different quality levels were acquired and used for quality classification and prediction. Measurements of dielectric properties of the samples were also conducted to estimate alcohol concentration. In the study of mango fruits, aroma changes of mango samples were monitored during their shelf life and used to evaluate mango quality. Ripening and rots were detected with 80% and 93% accuracy, respectively.
During the study of dynamic aroma detection, a real-time aroma monitoring and control system was developed for use during microwave drying. Aroma signals of a processed food item were detected with zNose and analyzed with a fuzzy logic algorithm to determine the optimal food drying temperature. Phase control was used to adjust the microwave power level to meet temperature requirements. Carrot (Daucus carota L.) and apple (Malus domestica Borkh) were selected as representatives of vegetables and fruits. In carrot drying, samples could be dried in a short time at high temperatures but the interior of some sample cubes was burnt. Drying at a lower temperature extended the drying process, but led to a great loss of aroma in the finished product.' The best results were obtained at 60°C. Based on these results, a fuzzy logic controller was designed and employed to control the drying process according to carrot aroma changes. To investigate the possibility of aroma improvement without zNose assistance, a linear control method was developed whereby a temperature control profile imitated the fuzzy logic control, but aroma control was not included. With these new control strategies, the carrot color and flavour were significantly improved and less time and power were consumed. Similar results were achieved when apple was microwave-dried. Apple aroma was monitored online during microwave drying processes and controlled with similar fuzzy and linear control strategies. Apple color, aroma, and overall appearance remained intact with the new strategies and less time and power were consumed. In contrast to the carrot drying, a different linear temperature profile was required for apple drying in terms of aroma retention.
Pratama, Filli, of Western Sydney Hawkesbury University, Faculty of Science and Technology, and School of Food Science. "Imparting aromas into raw milled rice: an experimental study." THESIS_FST_SFH_Pratam_F.xml, 2000. http://handle.uws.edu.au:8081/1959.7/478.
Full textDoctor of Philosophy (PhD)
Hu, Xiaohuan. "Controlling the Production of Off-odor Guaiacol by Alicyclobacillus acidoterrestris in Apple juice or a Microbiological Medium." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461151403.
Full textPatton, Kathleen A. "Storage stability of freeze dried raspberry and blackberry juices." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65392.
Full textLam, Siu-ping, and 林少萍. "Aroma profiles of soy sauces." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31221105.
Full textFreiberger, Eliza Brito. "Nanocápsulas de poli (L-ácido lático) contendo óleo de café torrado." Universidade Tecnológica Federal do Paraná, 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/1079.
Full textO aroma de café é constituído por uma mistura de componentes voláteis, os quais podem ser encontrados no óleo obtido na torração do café. O café solúvel, em função das condições de processamento, perde parte do seu aroma que, a princípio, poderia ser reincorporado ao produto pela adição do óleo de café diretamente sobre o produto final. Contudo, alguns trabalhos apontam para dificuldades de se obter bons resultados quando se trabalha com o óleo in natura devido à sua volatilidade e à degradação dos aromas. A incorporação de nanocápsulas contendo o óleo de café pode ser uma alternativa para minimizar estas perdas, pois o polímero encapsulante pode agir como barreira de proteção e promover sua liberação de forma controlada. A proposta do trabalho é a obtenção de nanocápsulas de poli(L-ácido lático)(PLLA), contendo o óleo de café torrado pela técnica de miniemulsificação/evaporação do solvente e validar o método para quantificação do óleo de café por espectrofotometria UV-Vis. Os estudos de validação possibilitaram garantir a qualidade dos resultados obtidos. Formulações com diferentes concentrações de PLLA, óleo e tipos de surfactantes foram valiadas quanto ao tamanho e índice de polidispersão frente à recuperação de óleo. Todas as formulações testadas apresentaram valores de recuperação de óleo acima de 80% mostrando que a técnica é adequada e pode ser considerada uma alternativa promissora para produzir nanocápsulas contendo óleo de café. As análises da composição do aroma das nanocápsulas, que indica a qualidade da porção de óleo encapsulada, mostraram que as nanocápsulas contêm frações de todos os compostos encontrados no óleo.
Coffee flavor is a mixture of volatile components found in the oil obtained from the roasted coffee. Soluble coffee loses part of its aroma due to processing conditions which could be reintroduced to the product by the direct addition of the coffee oil. However, some studies point out difficulties in obtaining good results when working with in natura oil because of the high volatility and the flavor degradation. The incorporation of nanocapsules containing coffee oil could be an alternative to minimize these losses, because the encapsulating polymer could act as a protecting barrier and promote its controlled release. The aim of this work is obtain PLLA nanocapsules containing roasted coffee oil by the miniemulsification/solvent evaporation technique. The spectrophometric UV- Vis method used to quantify the coffee oil was validated. Formulations with different PLLA and oil concentrations and kind of surfactant were evaluated in respect to the average nanocapsules size and polydispersion index and oil recovery. All formulations demonstrated oil recovery values above 80 % demonstrating that the technique is adequate and can be consider a promising alternative to coffee oil nanocapsules production. Flavor analysis nanocapsules composition, which indicates the quality of the encapsulated oil, showed that the nanocapsules contain fractions of all the substances found on the in natura oil.
Pratama, Filli. "Imparting aromas into raw milled rice: an experimental study." Thesis, View thesis, 2000. http://handle.uws.edu.au:8081/1959.7/478.
Full textMarcello, Gregory James. "The Effects of Predation and Supplemental Food on Foraging and Abundance of White-Footed Mice (Peromyscus Leucopus) in Relation to Forest Patch Size." Oxford, Ohio : Miami University, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1123179821.
Full textAineslahti, Emmi. "Training of spider monkeys in a food-rewarded two-choice olfactory discrimination paradigm and assessment of olfactory learning and memory performance." Thesis, Linköpings universitet, Biologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157124.
Full textVan, Eeden Petrus Rabe. "Chemical, sensory and consumer analysis of cork taint in South African wines." Thesis, Stellenbosch : University of Stellenbosch, 2009. http://hdl.handle.net/10019.1/2092.
Full textThis study focused on a serious quality-related problem in the global wine industry, including the South African Wine Industry, namely cork taint in wine. Annually, large financial losses are incurred by cork suppliers and wine producers, as a result of cork-tainted wine. Although contaminated new unused corks are frequently implicated as the origin of this taint, contaminated cellar equipment and water can also be the source of the problem. An explorative investigation into the incidence of cork taint in South African wines showed that 3.8% of the 133 wines tested, contained 2,4,6-trichloroanisole (TCA) concentrations of 3.5 ng/L and higher, as determined by gas chromatography coupled with electron capture detection (GC-ECD). TCA concentrations higher than 1 ng/L were found in 18% of the wines tested. All affected wines were sealed with solid or agglomerate cork stoppers. These wines were sourced from various wineries in the Western Cape region, South Africa and were of different cultivars. None of the wines sealed with synthetic closures had any detectable TCA, 2,4,6-tribromoanisole (TBA) or pentachloroanisole (PCA) levels and only very low 2,3,4,6- tetrachloroanisole (TeCA) levels (1 ng/L or less). Another group of 28 wines that were rejected by the official South African wine regulatory body on the basis of the presence of mouldy taint during wine certification, was also included in this study. GC-ECD analysis showed that 30% of the wines in this group contained TCA at concentrations of 3.5 ng/L and higher. These results pointed to a relative high incidence of TCA in the wines investigated, especially those sealed with cork stoppers. Although no general conclusions should be made on the incidence of cork taint in the wider wine industry based on the results found within this explorative investigation, these findings confirmed the presence of cork taint in South African wines. Detection threshold values were determined for TCA, TeCA, TBA and PCA in three wine cultivars using the standard ASTM method. Results indicate that factors relating to the wine cultivar seemed to affect threshold values considerably. Our research proposes a detection range rather than an average detection threshold. Detection ranges established for TCA, TeCA, TBA and PCA in Chenin blanc, Pinotage and Shiraz coincide with reported values in literature. This result can be regarded as a valuable expansion of the existing knowledge of detection threshold values. Descriptive sensory analysis indicated significant (P 0.05) changes in the aroma profile of Chenin blanc, Pinotage and Shiraz after TCA, TeCA, TBA or PCA was added to the respective base wines that contained no detectable levels of the haloanisoles. The mouldy taint induced by these haloanisoles were described as mouldy, mouldy-chemical, mouldychlorine, as well as mouldy-acidic. In Chenin blanc, additions of TCA, in the concentration range 1 to 17 ng/L, resulted in a marked increase in the mouldy aroma and was accompanied by an immediate decrease in fruitiness. This change was already evident at added TCA concentrations of 1 ng/L. Similar trends were observed in Pinotage, while the addition of low levels of TCA to Shiraz (2 ng/L) resulted in a significant (P 0.05) decrease in the herbaceous character of the wine. The aroma changes observed were prominent enough to render the wine totally unacceptable in comparison to its original character. Consumers’ degree of liking did not seem to be affected by very low concentration levels of TCA in Chenin blanc, Pinotage or Shiraz, but rejection increased as the concentration increased beyond detection threshold level. A slight gender effect was also noticed. Female consumers appeared to be more sensitive to increasing levels of TCA, whereas male consumers did not respond as negatively to higher concentration levels of TCA. This study makes an important contribution towards understanding the sensory impact of especially TCA contamination in wine, through the establishment of concentration ranges at which these compounds exert a noticeable detrimental effect on the aroma profile of wine. Additional insight into cork taint in wine is provided by the consumer preference studies, where the effects of the taint on the product acceptance by consumers are demonstrated. The development of a modus operandi to ensure that sensory panels provide reliable data, can be regarded as an important contribution to wine-related research. This study is one of the first where advanced sensometric techniques were applied in sensory studies on cork tainted wines.
Akpolat, Hacer. "The Effect of pH and Temperature on Cabbage Volatiles during Storage." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1427734475.
Full textLeobet, Elenir Lila. "Influência dos parâmetros de processo na formação do aroma e sabor indesejado de cereal em café aglomerado." Universidade Tecnológica Federal do Paraná, 2013. http://repositorio.utfpr.edu.br/jspui/handle/1/785.
Full textThe agglomerated instant coffee is the product of the powder instant coffee agglomeration. Its production involves stages of processes whose thermal variations change qualitatively and quantitatively the volatile compounds fractions responsible for the aroma and flavor of the finished product. The coffee beverage industry considers the cereal like flavor and aroma as a fault in the production of the agglomerated instant coffee. In this way, this study had as the aim to apply experimental plan to evaluate the parameters of the processes of the agglomerated instant coffee production on an industrial scale. The effects of those parameters in the coffee volatile components and in the intensity of the cereal taste were evaluated through the fractional 24-1 with resolution IV. The independent variables studied were the burner temperature (BT), the process air flow (AF), the temperature of the fluidized bed hot section (LT) and the steam pressure (SP). The results of the experimental plan were made by the use of sensory analysis performed by a trained team for the detection of the undesired aroma and flavor. Additionally, the volatile compounds were extracted by solid-phase microextractiontechniquewithsampling in theheadspace (HS-SPME), identified and quantified by gas chromatography coupled to mass spectrometry (GC-MS). The effect of the factors studied was evaluated by variance analysis (ANOVA) with significance level of 90% and the results showed by Pareto charts. The principal components analysis (PCA) was made with the aim to identify, among several compounds, those that implies on more cereal flavor and aroma, those which major contribution and which ideal process conditions could be used to reduce the cereal flavor and aroma development. According to PCA, it was found that pyridine, 2-metoxi-4-vinylphenol, 2,3-dimethylpyrazine, 2,5-dimetylpyrazine, 2,6-dimethylpyrazine, 4-methyltiazol, pyrazine, 2-methoxyphenol, 4,5-dimethylthiazol contribute to the development of the cereal flavor and aroma. It was also found that the agglomeration must be according to TQ = 215°C, AF=250 rpm, LT=120°C and EPV = 1,2 x 100 KPa.
Ferreira, Maresa Custodio Molinari. "Aplicação de técnicas analíticas instrumentais e físio-químicas com quimioterapia para avaliação da qualidade e discriminação de óleos vegetais e azeites de oliva extra virgem." Universidade Tecnológica Federal do Paraná, 2016. http://repositorio.utfpr.edu.br/jspui/handle/1/2193.
Full textGarantir a qualidade de produtos alimentícios como óleos vegetais é de grande importância para indústrias e pesquisas relacionadas à área de alimentos. Óleos vegetais podem ter sua composição adulterada ou suspeita devido à presença de outros óleos de menor valor comercial. Além disso, problemas relacionados à conservação durante o armazenamento, como, o desenvolvimento de ácidos graxos de cadeia curta e ácidos graxos livres, podem ser desencadeados por processos de degradação. Alterações na composição de óleos podem ser detectadas a partir do uso de cromatografia, enquanto técnicas titulométricas como índice de acidez e saponificação auxiliam na verificação da estabilidade durante a cadeia de distribuição e consumo. Essas técnicas aliadas à espectroscopia e a métodos de análise estatística multivariada permitem, portanto, determinar a qualidade e realizar a discriminação de óleos vegetais. Foram utilizadas 38 amostras de óleos vegetais sendo: 10 de óleo de soja, 6 de milho, 6 de girassol, 6 de canola, 9 azeites de oliva extra virgem e 1 óleo misto de soja e canola. Foram obtidas as composições em ácidos graxos utilizando-se cromatografia gasosa com detector de ionização de chama, índice de acidez, índice de saponificação e índice de iodo de acordo com as metodologias propostas pela Amerian Oil Chemists Society e foram obtidos os espectros na região do infravermelho médio utilizando-se a espectroscopia no infravermelho com transformada de Fourier. A partir dessas análises obteve-se, portanto, três tabelas de dados (cromatográficos, físico-químicos e espectroscópicos) que, por sua vez, foram submetidos à análise estatística. Análise de componentes comuns e pesos específicos foi aplicada às tabelas de dados para discriminação e avaliação da qualidade das amostras. Amostras apresentaram índice de acidez e saponificação elevado em relação a outros estudos. Óleos de soja, milho e girassol possuem maior teor de ácidos graxos polinsaturados, principalmente ácido linoleico em sua composição, enquanto óleos de canola e azeites de oliva extra virgens apresentam maior teor de ácidos graxos monoinsaturados como ácido oleico. A espectroscopia no infravermelho médio permitiu observar a presença de bandas intensas de absorção demonstrando a presença de grupamentos específicos de ácidos orgânicos como estiramento de carbonos unidos por ligações duplas como isômeros cis, metil e metileno, bandas relacionadas à carbonilas dos triacilgliceróis e ausência de ácidos graxos trans por não apresentarem absorções em 3025 e 968 cm-1. A partir da análise de componentes comuns e pesos específicos foi possível separar os dados em três dimensões comuns contendo 56,44, 34,74 e 8,77% da variância dos dados, as quais foram influenciadas majoritariamente pelas análises cromatográficas, físico-químicas e espectroscópicas, respectivamente. De acordo com o perfil de agrupamento das amostras foi possível realizar a discriminação das amostras em relação às matrizes de extração e observado ausência de adulterações. Cromatografia gasosa foi essencial na discriminação das amostras, análises físico-químicas na avaliação da qualidade enquanto os dados espectroscópicos apresentaram baixa influência nos dados, não colaborando efetivamente para a discriminação das amostras. Por fim, análise de componentes comuns e pesos específicos pode ser aplicada de forma eficaz na discriminação de óleos vegetais.
Ensure the quality of food products such as vegetable oils have great importance to industry and researches related to food. Vegetable oils can have their composition adulterated or suspected due to the presence of other oils with lower commercially value. In addition, problems related to preservation during storage as the development of short chain and free fatty acids can be initiated by degradation processes like rancidity. Alterations in composition can be detected by the use of chromatography while titrimetric techniques assists in the verification of stability during storage. These techniques combined to spectrocopy and multivariate statistical methods allow determine the quality and realize the discrimination of vegetable oils. 38 samples of vegetable oils were used being: 10 soybean, 6 corn, 6 sunflower, 6 canola, 9 extra virgin olive oil and 1 mixed canola and soybean oil. It was obtained the fatty acid composition using gas chromatography (GC-FID), acid, saponification and iodine value according to American Oil Chemists Society methods and the spectra in the mid-infrared region were obtained using Fourier transform infrared spectroscopy. From these analyses it was obtained three data tables (chromatographic, physicochemical and spectrocopic) that, in its turn, were submitted to statistical analysis. Common components and specific weights analysis were applied to the data tables to discrimination and evaluation of the quality of samples. Samples presented acid and saponification values high in relation to other studies. Soybean, corn and sunflower oil have higher contend in polyunsaturated fatty acid, mainly linoleic acid in their composition while canola and extra virgin olive oils presented higher amount of monounsaturated fatty acids as oleic acid. The mid-infrared spectrocopy permitted observe the presence of intense absorption bands demonstrating the presence of specific groups of organic acids like carbon stretch united by double bonds with cis isomers, methyl and methylene, bands related to carbonyls of triacylglycerols and the absence of trans isomers by not present absorptions in 3025 and 968 cm-1. From common components and specific weights analysis was possible separate data in three common dimensions containing 56,44, 34,74 and 8,77% of the data variance which were influenced mainly by chromatographic, physicochemical and spectroscopy analyses, respectivetly. According to the cluster profile of the samples was possible to realize the discrimination of the samples in relation to the extraction matrices and it was observed the absence of adulterations. Gas chromatography was essential to the discrimination and physicochemical analyses to the evaluation of the quality of the samples while the spectrocopic data presented low influence to the data, not contributing effectively to the discrimination of the samples. At last, common components and specific weichts analysis can be applyed efficiently to discrimination of vegetable oils.
Mignot, Coralie. "Modulation des activations cérébrales par des odeurs subliminales : une étude en IRM fonctionnelle." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAJ023/document.
Full textSome studies showed that subliminal odours – odours of very low intensity which activate the olfactory system but are not consciously perceived – can impact food behaviours. However, the sensory and cognitive mechanisms involved in subliminal odours processing remain poorly known. This work aims exploring cerebral activity induced by subliminal odours by the means of functional Magnetic Resonance Imaging. During MRI acquisitions, participants were unknowingly exposed to two odours presented at subliminal intensity and then at supraliminal intensity. Four cerebral networks highlighted by Independent Component Analysis (ICA) prove to be specific to the subliminal condition. These networks are not particular to olfactory processing and seem to be linked to attentional and executive control processes. The modulation of their activity by subliminal odours brings new elements to understand the impact of these odours on behaviour, and suggests possible applications for using these odours to regulate food behaviour
Oldfield, Anthony Charles. "Food odour preference behaviour in three Australian Pteropus species (Chiroptera: Pteropodidae)." Phd thesis, 1996. http://hdl.handle.net/1885/109270.
Full textGupta, Rajni. "Effect of cyclodextrins on the flavour of goat milk and its yoghurt." 2004. http://hdl.handle.net/10292/426.
Full textLin, Chun-Yu, and 林純伃. "The Study of Low Odor Food Waste Composting process." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/06270287978914933388.
Full text國立高雄海洋科技大學
海洋環境工程研究所
99
This research is aiming to minimize odor emission during the food waste composting processes via the method of pH control. During the food waste composting process, nitrogen element will convert into NH3 or CH3NH2 in an anaerobic condition, thus cause the odor emission problems. It is known that NH3 is a base material, can be neutralized by the organic acid during the initial stage of the composting processes. As the pH increasing during the composting processes, the neutralization capability decreased as well. When the pH is approaching the neutral condition (pH=7), the NH3 will not be soluble in the water content of the compost, and will emit freely as NH3 gas, thus cause the odor problem. Our creative approach is to use organic acid (such as acetic acid) to adjust the compost pH to maintain at the pH5, pH6, pH7 level; and to compare which situation is the best for NH3 odor emission control. And to select the best pH turning point for setting up the future odor control standard operation procedure (SOP). Also to optimize the organic acid usage amount to evaluate the most feasible approach. During the study, total accumulated amount of NH3 emitted will monitored via the NH3 automatic monitoring instrument and via NH3 dragger tube. During the experiment period, the pH, temperature, ammonia and moisture content of each pile were continually monitored. The result showed: (1) increase mature compost quantity are more, the initial of pH value is higher; The NH3 gas produces early, so the NH3 had the time also early to finish; When pH<6, NH3 not yet Obvious emission, therefore detect the NH3 value not to be high; When pH rise to between 6~7, NH3 starts to emission obviously; when pH>7, NH3 emission to increase suddenly; When pH>8.0, the NH3 emission achieves the peak, this time is odor most serious stage in compost system ; Then NH3 emission has to drop, when compost complete mature, NH3 no longer produces, the pH value also returns drops to between 7.0~7.5. May judge change of the pH value be possible initially to do is the NH3 stink emissions against system the optimal parameter. (2) the fficiency of NH3 control eexperiment knowing, has not increased comparison of the acetic acid to pile, gauges NH3 early, and NH3 presents the crest value to need the date number to be few, the NH3 emission is also high. After that increases (the fat pile of pH value according to the fat pile of increase acetic acid content to be low), NH3 presents density of the crest value to be low, and presents time of the crest value also to postpone. The entire journey ammonia delivers the total quantity respectively is in order pH5 (9,732ppm) < pH6 (17,007ppm) < pH7 (22,493 ppm) < has not adjusted control of the pH value to pile (28,102 ppm). NH3 has the decrement result respectively is when pH5 reduce NH3 enission 65%, pH6 reduce NH3 enission 40%, and when pH7 reduce NH3 enission 20%. If our proposed ideal is to be supported for practical application, we still have to make sure that the added organic acid or mineral acid should not affect on the bioactivity of the compost degradation bacteria; thus, a complete stabilization of the compost can be approached. If this approach can be approved, the absorbed NH3 will indeed enhance the N fixation rate, thus, increase the N fertilization content. And this expectation can be easily proved by total N analysis of the final compost products. Finally, if the proposed ideal can be proved, we can not only minimize the NH3 odor emission problems, but also increase the compost fertilization. This will become a perfect win-win solution to the food waste composting industry.
Lopetcharat, Kannapon. "Sub-threshold effects on the perceived intensity of recognizable odorants : the roles of functional groups and carbon chain lengths." Thesis, 2002. http://hdl.handle.net/1957/27222.
Full textGraduation date: 2003
Vignovich, Martin Nicholas. "Integration of Taste and Odor in Agranular Insular Cortex." Thesis, 2019. https://doi.org/10.7916/d8-qdv7-q834.
Full textSalvatore, Liliana. "Instrumental and sensory analysis of volatile organic compounds in porcine adipose tissue." Thesis, 2003. https://vuir.vu.edu.au/30248/.
Full textKe, Chih-hua, and 柯志樺. "Ozonation of waste gas from food-cooking operations for odor removal." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/40962089375268355318.
Full text國立中山大學
環境工程研究所
104
Characteristics of fumes and odorous compounds emitted from commercial cooking operations depend mainly on the types of cooked food and used seasoning materials, edible oil, as well as cooking operations. An oxidation-reduction-in-series scrubbing process using an aqueous solution containing hypochlorous acid as an oxidant and an aqueous alkaline solution containing hydrogen peroxide as a reductant or oxidant has been developed and successfully applied to the removal of odorants in gases emitted from commercial cooking operations. However, studies on using ozone and/or H2O2 as an oxidant or oxidants to the odorant reduction were limited. In the present study, an oxidation-oxidation-in-series scrubbing process using ozone and aqueous alkaline H2O2 solutions as oxidants was tried to the removal of cooking-gas odorants. Waste gas samples for test were collected from the vent hole of an oven which contains heated samples of food materials (sausage and shrimps) with high odor intensities when heated. Results indicate that with no ozone addition to the odorous gas, no apparent odor removal occurred with a solution of less than 2,000 mg/L hydrogen peroxide at pH > 12. With ozone concentrations of 1 and 2 ppm, hydrogen peroxide was the major oxidant for the odor removal. With ozone of 5 and 20 ppm and hydrogen peroxide of 330-660 mg/L, both ozone and hydrogen peroxide were responsible for the odor removal. Laboratory data indicate that for the effective removal of odors and THCs (total hydrocarbons) form 1,000 m3 of the test gases, the total chemicals were estimated to cost NT $ 48-66. With an optimal condition of 20 ppm ozone and 660 mg/L H2O2, odor concentration (dilution ratio to the odor threshold) of the influent gas could be reduced from 5500 to 550.
Lohe, Adrienne. "The role of two anatomically separate olfactory bulbs in shark food odor tracking." Thesis, 2017. https://hdl.handle.net/2144/20706.
Full textWayne-Chen and 陳文川. "The study to establish an innovative odor removaldevice for food waste compost facility." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/90941046444228934113.
Full text國立高雄海洋科技大學
海洋環境工程研究所
98
Main objective of this research is to establish a cost effective odor removal device using ammonia as a probe for study. The established odor removal device was designed based on a cyclone impacting theory. Absorbing fluid utilized was water (or pH controlled water). The cycling turbulence was created via a vacuum pump. With proper impacting design, numerous tiny water droplets were created in the high speed cycling movement. Parameters such as absorbing fluid pH, gas flow rate, operating temperature, electricity consumption, as well as inlet and outlet ammonia concentration were monitored.
Su, He-Cheng, and 蘇合成. "Food odor preference and slug mucus trailing behavior of Taiwan slug snake, Pareas formosensis." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/72010737506911541290.
Full text國立臺灣師範大學
生命科學研究所
93
Food searching is an common and important behavior in snakes. Taiwan slug snake (Pareas formosensis), an endemic species in Taiwan, is a specialist, which prey on slugs and snails. In this study, I checked the preference of the snakes to prey orders, and tested whether they could follow the mucus-trail of a slug. The snakes preferred the chemical scents of slugs which were smeared on the cotton swabs. The correct trailing rates of snakes to slug’s venter mucus in Y-maze were significantly higher than the rate of random (50%). The correct trailing rates in dark condition were not significantly different from that of dim (1-2 lux) condition. This suggested that, the snakes might utilize the chemical but not visual cues from mucus to trail the prey. The snakes could trail the mucus both in straight and curved shape. The correctly trailing rates of snakes to mucus of slug’s venter which has been ventilated at 50% RH, 20 ± 2C for 15 or 30 mins were significantly lower than fresh mucus. However, there was no significant difference of trailing slugs’ backside mucus among different ventilation times.
Wetherwax, Peter B. "Scent-making by nectar collecting honey bees." Thesis, 1993. http://hdl.handle.net/1957/35698.
Full textGraduation date: 1994
Karyadi, Kenny. "The effects of alcohol odor cues on food and alcohol attentional bias, cravings, and consumption." Thesis, 2015. http://hdl.handle.net/1805/7986.
Full textIn order to elucidate the role of classical conditioning in food and alcohol co-consumption, the present study examined: (1) the effects of alcohol odor cues on alcohol and food cravings and attentional bias (bias in selective attention toward either food or alcohol pictures relative to neutral pictures); and (2) the role of alcohol odor cue elicited cravings and attentional biases on subsequent consumption. Participants (n = 77; mean age = 30.84, SD = 9.46; 51.9% female, 83.1% Caucasian) first completed the lab portion of the study. In this portion, they were exposed to alcohol and neutral odorants, after which their food and alcohol cravings and attentional bias were assessed. Participants then received an online survey the next day, on which they reported their level of food and alcohol consumption following the lab portion of the study. Using repeated measures analysis of covariance, alcohol odor cues were differentially effective in increasing food and alcohol attentional bias and cravings (Fs= 0.06 to 2.72, ps= 0.03 to 0.81). Using logistic and multiple regressions, alcohol odor cue elicited alcohol attentional bias, food attentional bias, and food cravings were associated with later alcohol consumption, but not with later food consumption or concurrent consumption (βs = -0.28 to 0.48, ps = 0.02 to 0.99; Exp(B)s = 0.95 to 1.83, ps = 0.33 to 0.91). Overall, alcohol odor cues can become conditioned stimuli that elicit conditioned food-related and alcohol-related responses, both of which persist long enough to motivate later alcohol consumption; however, these conditioned responses might not persist long enough to motivate later food or concurrent consumption. These findings serve as a first step in clarifying the role of classical conditioning in concurrent consumption. In particular, they suggest that additional empirical investigations are needed to: (1) clarify the classical conditioning mechanisms underlying concurrent consumption; and (2) examine whether interventions targeting classical conditioning mechanisms are effective for reducing alcohol use.
Lee, Shi-Jing, and 李世經. "Study of Chemical Scrubber Technology for Removal of Toluene and Odor Emissions from Food and Cooking Processes." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/68656436700098576017.
Full text國立雲林科技大學
環境與安全工程系碩士班
93
Odor emissions from cooking processes are one of the air pollutants which will come under the control of the Air Pollution Control Ordinance in the near future. It is necessary for owners and operators of restaurants and food business to take appropriate measures to minimize these emissions and prevent causing any objectionable odor noticeable at any sensitive receptor in the vicinity or creating other forms of pollution. Chemical oxidation and air washers have a better performance in odor control than electrostatic precipitators but neither one of them alone can effectively reduce odor to an acceptable level. It is now an innovative design to couple these two kinds of technologies together as chemical scrubber that can give a reasonable performance in odor control. The optimum design and operation parameters of chemical scrubber are developed in treating odor problem from cooking processes. This study developed chemical scrubber technology to remove toluene gas using plate column and to control odorous emission from food and cooking processes using packed column. The plate column consisted of a scrubber column ( 220 cm H × 20 cm L × 5 cm W) and a oxidation column ( 200 cm H × 15 cm-dia. ). The study included semi-batch and pilot-plant continuous operations. The packed column consisted of a lampblack pro-treated device ( 45 cm H × 20 cm L × 20 cm W ), a scrubber ( 150 cm H × 30 cm-dia. ) and a oxidation tank ( 60 cm H × 80 cm L × 60 cm W ). The kinetic constant in various combinations such as blank, ozone and UV/ O3 process are conducted individual to better understand the removal efficiency of each mechanism. The field study of the odor problem at six different restaurants was investigated. Four of them were Chinese style restaurants, one of them was Japanese style restaurant, and the last one was a fast food restaurant. The results of field investigation indicated that the species of odor included H2S、DMS、DMDS、NH3、and R-NH2 etc. The species and their concentration ranges at the Chinese style restaurants were THC (4.4 - 7.2 ppm), H2S (0.9 - 8.9 ppm), NH3 (0.3 - 8.5 ppm) and R-NH2 (0.5 - 5 ppm). The content and their concentration at the Japanese style restaurants were THC: (28 ppm), NH3 (2.4 ppm), and R-NH2 (2 ppm). The snack bar was THC (9.2 ppm) and NH3 (0.1 ppm). The fast food restaurant was THC (5.1 ppm), H2S (8.9 ppb), NH3 (0.3 ppm) and R-NH2 (0.4 ppm). THC is used as indicator of pollution. The result of the THC concentration from the Japanese style restaurant is the highest and the Chinese style restaurant has the highest amine emission. Toluene is used as the target pollutant to evaluate the performance of chemical scrubber. The order of toluene removal in semi-batch study were UV/O3, O3, stripping, and UV. All those removal followed the first-order reaction and had the following order KOH > KO3 > KUV. According to mass balance estimation, the removal of 1 g of toluene requires 4.5 g ozone in the ozone process whereas the removal of 1 g of toluene using a combination of UV and ozone need 1.5 g ozone. he toluene removal efficiency in the pilot-scale ozone chemical scrubber were about 90% under the following conditions: gas flow rate of 50 L/min, toluene concentration range of 500 ~ 800 ppm, liquid and air ration (L/G) of 100 L/m3 and ozone dosage of 5.5 g/hr. No others toxic derivatives found in the composition analysis of wastewater. According to regression analysis. The results showed that suitable operational conditions for odor removal in the oxidation tower are L/G = 8.3 L/m3 ( 25 LPM / 3 CMM ), ozone dose = 1.5 g/hr, and height of the packed section = 120 cm. The odorous removal efficiency achieved about 80% and the THC concentration in the food and cooking process could be reduced to below 1-2 ppm. The operating cost fore 12 operation period were NT$ 25 or NT$ 6.9/(1000 m3 waste gas).
Brana-Varela, Diego. "Technologies to reduce nutrient excretion and odor production in swine /." 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3242798.
Full textSource: Dissertation Abstracts International, Volume: 67-11, Section: B, page: 6121. Adviser: Peter James Garlick. Includes bibliographical references (leaves 72-89) Available on microfilm from Pro Quest Information and Learning.
Reddy, Vijaya P. "The identification of the precursor of off odor causing compounds, produced during storage of ground pearl millet (Pennisetum americanum (L) Leeke)." 1985. http://hdl.handle.net/2097/27539.
Full text"Identification of odorous compounds in commercial chaw tofu and evaluation of the quality of model broths during fermentation." 2005. http://library.cuhk.edu.hk/record=b5892345.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (leaves 140-150).
Abstracts in English and Chinese.
ABSTRACT --- p.i
ACKNOWLEDGEMENTS --- p.vi
LIST OF FIGURES --- p.xiii
LIST OF TABLES --- p.xv
Chapter CHAPTER 1 --- LITERATURE REVIEW --- p.1
Chapter 1.1 --- Introduction --- p.2
Chapter 1.2 --- Soybeans --- p.3
Chapter 1.2.1 --- Chemistry and nutritional value of soybeans --- p.3
Chapter 1.2.2 --- Protein composition of soybeans --- p.4
Chapter 1.2.3 --- Volatile compounds in soybeans --- p.4
Chapter 1.3 --- Food fermentation --- p.5
Chapter 1.4 --- Chaw tofu --- p.6
Chapter 1.4.1 --- Preparation of tofu --- p.7
Chapter 1.4.2 --- Preparation of chaw tofu --- p.7
Chapter 1.4.3 --- Microorganisms involved in fermentation of chaw tofu --- p.8
Chapter 1.4.4 --- Volatile components in chaw tofu --- p.11
Chapter 1.4.5 --- Proteolytic activity of chaw tofu --- p.12
Chapter 1.5 --- Stinky brine broth --- p.13
Chapter 1.5.1 --- The pH value of stinky brine broth --- p.13
Chapter 1.5.2 --- The salt percentage of stinky brine broth --- p.14
Chapter 1.5.3 --- Volatile components of stinky brine broth --- p.14
Chapter 1.5.4 --- Parameters affecting ammonia production of stinky brine --- p.15
Chapter 1.6 --- Other fermented soy products --- p.16
Chapter 1.6.1 --- Microorganisms involved in the fermentation --- p.16
Chapter 1.6.1.1 --- Fermentation of soybean by bacteria --- p.17
Chapter 1.6.1.1.1 --- Natto --- p.17
Chapter 1.6.1.1.2 --- Kinema --- p.18
Chapter 1.6.1.1.3 --- Soy daddawa --- p.19
Chapter 1.6.1.1.4 --- Hawaijar --- p.20
Chapter 1.6.1.1.5 --- Thua nao --- p.21
Chapter 1.6.1.2 --- Fermentation of soybean by moulds --- p.21
Chapter 1.6.1.2.1 --- Tempe --- p.21
Chapter 1.6.1.2.2 --- Sufu --- p.22
Chapter 1.6.1.2.3 --- Soy sauce --- p.22
Chapter 1.6.1.2.4 --- Soy paste --- p.23
Chapter 1.6.2 --- Formation of volatile compounds during Bacillus fermentation --- p.24
Chapter 1.6.3 --- Biochemical changes during fermentation --- p.21
Chapter 1.7 --- Methods of flavor analysis --- p.30
Chapter 1.7.1 --- Headspace Analysis --- p.31
Chapter 1.7.2 --- Aroma characterization --- p.32
Chapter CHAPTER 2 --- IDENTIFICATION OF ODOROUS COMPOUNDS IN COMMERCIAL CHAW TOFU BASED ON ODOR ACTIVITY EVALUATION --- p.42
Chapter 2.1 --- Introduction --- p.43
Chapter 2.2 --- Materials & Methods --- p.46
Chapter 2.2.1 --- Experimental samples --- p.46
Chapter 2.2.2 --- Headspace-Gas Chromatography-Mass Spectrometry (GC-MS) --- p.46
Chapter 2.2.3 --- Conditions of the Gas Chromatography-Mass Spectrometry (GC-MS) --- p.47
Chapter 2.2.4 --- Compound identifications --- p.48
Chapter 2.2.5 --- Quantification of compounds --- p.48
Chapter 2.2.6 --- Statistical analysis --- p.48
Chapter 2.2.7 --- Calculation of odor activity value (OAV) --- p.49
Chapter 2.3 --- Results & Discussion --- p.50
Chapter 2.3.1 --- Odor activity value (OAV) --- p.51
Chapter 2.3.2 --- Volatile compounds in fresh samples --- p.51
Chapter 2.3.2.1 --- Comparison of odorous compounds in fresh samples among different locations --- p.52
Chapter 2.3.3 --- Volatile compounds in deep-fat fried samples --- p.53
Chapter 2.3.3.1 --- Comparison of odorous compounds in deep-fat fried samples among different locations --- p.54
Chapter 2.3.4 --- Comparison between fresh and deep-fat fried samples --- p.55
Chapter 2.3.5 --- Odorous compounds of chaw tofu based on OAVs --- p.56
Chapter 2.3.6 --- Possible ways for formation of odorous compounds --- p.58
Chapter 2.3.6.1 --- Protein degradation --- p.58
Chapter 2.3.6.2 --- Lipid degradation --- p.59
Chapter 2.3.7 --- Comparison between volatile compounds in chaw tofu and others fermented soybean products --- p.60
Chapter 2.4 --- Conclusion --- p.61
Chapter CHAPTER 3 --- IDENTIFICATION OF ODOROUS COMPOUNDS IN COMMERCIAL CHAW TOFU BASED ON GAS CHROMATOGRAPHY-OLFACTOMETRY --- p.67
Chapter 3.1 --- Introduction --- p.68
Chapter 3.2 --- Materials & Methods --- p.71
Chapter 3.2.1 --- Experimental samples --- p.71
Chapter 3.2.2 --- Gas Chromatography-Mass Spectrometry-Flame Ionization Detection-Olfactometry (GC-MS-FID-O) --- p.71
Chapter 3.2.3 --- Conditions of the Gas Chromatography-Mass Spectrometry --- p.72
Chapter 3.2.4 --- Detection of odor active compounds --- p.73
Chapter 3.2.5 --- Compound identifications --- p.73
Chapter 3.3 --- Results & Discussion --- p.74
Chapter 3.3.1 --- "Fecal, rancid and putrid odor" --- p.74
Chapter 3.3.2 --- "Cabbages, sulfurous and meaty odor" --- p.76
Chapter 3.3.3 --- Green odor --- p.77
Chapter 3.3.4 --- Other odor contributing compounds --- p.77
Chapter 3.3.5 --- Odor generate during deep-fat frying --- p.78
Chapter 3.3.6 --- Comparison between GC-O and OAVs --- p.79
Chapter 3.3.7 --- Comparison between volatile compounds in chaw tofu and others fermented soybean products --- p.80
Chapter 3.4 --- Conclusion --- p.82
Chapter CHAPTER 4 --- EVALUATION OF CHAW TOFU MODEL FERMENTATION BROTH --- p.86
Chapter 4.1 --- Introduction --- p.87
Chapter 4.2 --- Materials & Methods --- p.90
Chapter 4.2.1 --- Model fermentation broth preparation --- p.90
Chapter 4.2.2 --- Tofu sample preparation --- p.91
Chapter 4.2.3 --- Gas Chromatography-Mass Spectrometry --- p.91
Chapter 4.2.3.1 --- Conditions of Gas Chromatography-Mass Spectrometry (GC-MS) --- p.92
Chapter 4.2.3.2 --- Compound identification --- p.93
Chapter 4.2.3.3 --- Quantification of compounds --- p.93
Chapter 4.2.4 --- Viable cell counts --- p.93
Chapter 4.2.5 --- pH value and soluble content --- p.94
Chapter 4.2.6 --- Proteolytic activity --- p.94
Chapter 4.2.7 --- Statistical analysis --- p.95
Chapter 4.3 --- Results & Discussion --- p.96
Chapter 4.3.1 --- Headspaces analysis --- p.96
Chapter 4.3.1.1 --- Changes in volatile composition in model fermentation broths --- p.97
Chapter 4.3.1.2 --- Comparison of volatile compositions between the broths --- p.98
Chapter 4.3.1.3 --- Comparison of volatile compositions among the three deep-fat fried fermented tofu with different broths --- p.101
Chapter 4.3.1.4 --- Comparison of volatile compositions of deep fat fried fermented tofu with that of the commercial chaw tofu --- p.102
Chapter 4.3.2 --- Liquid samples analysis --- p.104
Chapter 4.3.2.1 --- "Changes in viable cell counts, pH values, protease activities and soluble solid contents within model fermentation broths during fermentation" --- p.106
Chapter 4.3.2.2 --- Viable cell counts --- p.107
Chapter 4.3.2.3 --- Soluble solid content --- p.108
Chapter 4.3.2.4 --- Proteolytic activity --- p.106
Chapter 4.3.2.5 --- pH value --- p.110
Chapter 4.4 --- Conclusion --- p.112
Chapter CHAPTER 5 --- GENERAL CONCLUSION --- p.127
APPENDIX --- p.130
IDENTIFICATION OF MICROORGANISMS PRESENTED IN THE MODEL CHAW TOFU FERMENTATION BROTHS BY MICROBIAL IDENTIFICATION SYSTEM (MIDI) --- p.130
Materials & Methods --- p.130
Model fermentation broth preparation --- p.130
Viable cell counts --- p.131
Microbial Identification System (MIDI) --- p.131
Results --- p.133
Suggestion on further investigation --- p.134
REFERNECES --- p.141