135 research outputs found

    Rapid and High Throughput Detection of Pathogenic Bacteria in Food Samples

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    Author Institution: Department of Food Science and Technology, The Ohio State Universit

    Monitoring Turkish white cheese ripening by portable FT-IR spectroscopy

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    The biochemical metabolism during cheese ripening plays an active role in producing amino acids, organic acids, and fatty acids. Our objective was to evaluate the unique fingerprint-like infrared spectra of the soluble fractions in different solvents (water-based, methanol, and ethanol) of Turkish white cheese for rapid monitoring of cheese composition during ripening. Turkish white cheese samples were produced in a pilot plant scale using a mesophilic culture (Lactococcus lactis subsp. lactis, Lactococcus lactis subsp. cremoris), ripened for 100 days and samples were collected at 20-day intervals for analysis. Three extraction solvents (water, methanol, and ethanol) were selected to obtain soluble cheese fractions. Reference methods included gas chromatography (amino acids and fatty acid profiles), and liquid chromatography (organic acids) were used to obtain the reference results. FT-IR spectra were correlated with chromatographic data using pattern recognition analysis to develop regression and classification predictive models. All models showed a good fit (RPre ≥ 0.91) for predicting the target compounds during cheese ripening. Individual free fatty acids were predicted better in ethanol extracts (0.99 ≥ RPre ≥ 0.93, 1.95 ≥ SEP ≥ 0.38), while organic acids (0.98 ≥ RPre ≥ 0.97, 10.51 ≥ SEP ≥ 0.57) and total free amino acids (RPre = 0.99, SEP = 0.0037) were predicted better by using water-based extracts. Moreover, cheese compounds extracted with methanol provided the best SIMCA classification results in discriminating the different stages of cheese ripening. By using a simple methanolic extraction and collecting spectra with a portable FT-IR device provided a fast, simple, and cost-effective technique to monitor the ripening of white cheese and predict the levels of key compounds that play an important role in the biochemical metabolism of Turkish white cheese

    Raman Spectroscopy for Food Quality: Assessment Uncovering Adulteration and Ensuring Authenticity

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    The globalization of the food market, the prevalence of economically motivated adulteration, and the scarcity of high-value food sources have posed significant challenges to ensuring food authenticity in the industry. The assessment of food authenticity has now become a matter of utmost importance, necessitating the adoption of rapid and robust methods. While well-established techniques are available for analysis, many are not always feasible because of the need for high-priced instrumentation and proficient operators, excessive time requirements, and the destructive nature of the methods. However, Raman spectroscopy has been positioned as an attractive technology offering high-speed and nondestructive fingerprinting capabilities to monitor sample characteristics of foods. Improvements in optical technology and portable instruments have allowed field-deployable devices and have made it practical to detect adulteration from production to the market. An extensive literature has demonstrated the convenience and efficacy of these instruments in fulfilling the needs of the food industry. This chapter highlights the recent advancements in research studies focusing on the utilization of Raman spectroscopy for the rapid determination of food adulteration and authentication. These developments showcase the potential of Raman spectroscopy as a valuable tool in addressing the challenges posed by food fraud. The ongoing progress in Raman spectroscopy and its applications in food authenticity assessment represents a significant step forward in combating adulteration and ensuring the integrity of our food supply. Further research and technological advancements in this field will enhance the capabilities of Raman spectroscopy, providing the industry with increasingly reliable, efficient, and practical methods to combat food adulteration and authenticate the foods we consume

    Advanced spectroscopy-based phenotyping offers a potential solution to the ash dieback epidemic

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    Natural and urban forests worldwide are increasingly threatened by global change resulting from human-mediated factors, including invasions by lethal exotic pathogens. Ash dieback (ADB), incited by the alien invasive fungus Hymenoscyphus fraxineus, has caused large-scale population decline of European ash (Fraxinus excelsior) across Europe, and is threatening to functionally extirpate this tree species. Genetically controlled host resistance is a key element to ensure European ash survival and to restore this keystone species where it has been decimated. We know that a low proportion of the natural population of European ash expresses heritable, quantitative resistance that is stable across environments. To exploit this resource for breeding and restoration efforts, tools that allow for effective and efficient, rapid identification and deployment of superior genotypes are now sorely needed. Here we show that Fourier-transform infrared (FT-IR) spectroscopy of phenolic extracts from uninfected bark tissue, coupled with a model based on soft independent modelling of class analogy (SIMCA), can robustly discriminate between ADB-resistant and susceptible European ash. The model was validated with populations of European ash grown across six European countries. Our work demonstrates that this approach can efficiently advance the effort to save such fundamental forest resource in Europe and elsewhere
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