Effect of Heating on Qualitative and Microbiological Properties of White Cheese That Retailed in Basrah Markets

Al-Asady, Amal K. G.; A.Al-Imarah, Eman; Al-Shatty, Sabah M. H.

doi:10.33762/bagrs.2007.56531

Cited by 2 publications

(4 citation statements)

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“…Dry matter contents of cheeses with added mTG enzyme increased during storage; however, only the increase in DM content of MHC60 sample was found significant ( P < 0.05). The continuous increase in the dry matter value might be due to the increase in the acidity of the cheese during maturation and the less water retention of the casein (Karaca and Güven 2014). As cheese ferments and matures, lactic acid‐producing bacteria convert lactose into lactic acid.…”

Section: Resultsmentioning

confidence: 99%

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Cross‐linking duration impacts on Hatay cheeses with microbial transglutaminase enzyme

Güzeler,

Özbek,

Mert

2024

Int J of Dairy Tech

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The study aimed to enhance Hatay cheese texture using microbial transglutaminase enzyme (mTG). Cheeses were manufactured using milk treated with mTG for different durations (30, 45 and 60 min) and assessed over 60 days. Longer treatment increased yield (18.79–20.81%) and hardness but reduced springiness. Composition, proteolysis and adhesiveness remained unaffected. Electrophoresis showed β‐casein and αs1‐casein declines during storage, with minor changes in αs1‐casein's breakdown product. Microbial transglutaminase enzyme created a denser protein network, visible in SEM, resulting in a compact structure. Sensory analysis favoured the 60‐min treatment. Overall, mTG improved Hatay cheese quality by modifying texture without major compositional changes.

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Section: Resultsmentioning

confidence: 99%

“…The continuous increase in the dry matter value might be due to the increase in the acidity of the cheese during maturation and the less water retention of the casein (Karaca and Güven 2014). As cheese ferments and matures, lactic acidproducing bacteria convert lactose into lactic acid.…”

Section: Physicochemical Properties Of Hatay Cheesementioning

confidence: 99%

Cross‐linking duration impacts on Hatay cheeses with microbial transglutaminase enzyme

Güzeler,

Özbek,

Mert

2024

Int J of Dairy Tech

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“…This research has implications in the field of healthcare and can lead to improved diagnostics and treatment approaches for these conditions. In [21] introduces an innovative method for landslide susceptibility modeling. The study integrates machine learning feature transformation techniques to enhance the accuracy of landslide susceptibility models, which can aid in disaster risk assessment and mitigation efforts.…”

Section: Introductionmentioning

confidence: 99%

“…[20] Multivariate statistical and data mining for identifying biomarkers related to hearing loss Identification of biomarkers related to sensorineural hearing loss, tinnitus, and vestibular dysfunction Generalization of findings to a broader population may be limited; further validation and clinical studies may be necessary. [21] Integration of machine learning feature transformation in landslide susceptibility modeling Enhanced accuracy of landslide susceptibility models for improved disaster risk assessment Applicability of the method to diverse geographical and geological conditions needs further exploration; model sensitivity to input data quality. [22] Strategic decision support system for urban logistics with a focus on sustainable transport Optimization of urban logistics operations with reduced environmental impacts Integration challenges with existing logistics systems; potential resistance to adopting sustainable transport methods.…”

Section: Introductionmentioning

confidence: 99%

Research on the Development of Modern Design Through Data Mining Technology

Meng

2024

IJCAI

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Logistics operations heavily rely on efficient route planning and optimization to ensure the smooth flow of goods and services. To enhance these processes, the simulation of logistics frequent path data mining based on statistical density offers valuable insights. By analyzing vast amounts of historical transportation data, statistical density-based methods can identify frequent paths and patterns in logistics networks. With the data mining process, the statistical density of the logistics in China is computed. The model uses the Fuzzy Associative Monte Carlo (FAMC). The proposed FAMC model estimates the associative rules in the fuzzy model for the computation of the frequent pattern for the estimation of the logistics in the data mining process. Through FAMC model statistical density is computed with an estimation of the logistics path to compute the statistical density model. The logistics path routes are estimated based on the computation of the statistical density for the computation of the data mining-based approach in logistics management. The proposed FAMC model effectively computes the path in the logistics in China with a significant density analysis in a statistical manner.Povzetek: V članku je opisano sodobno oblikovanje z uporabo rudarjenja podatkov, osredotočeno na optimizacijo logističnih poti preko statistične gostote in Fuzzy Associative Monte Carlo modela.

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Effect of Heating on Qualitative and Microbiological Properties of White Cheese That Retailed in Basrah Markets

Cited by 2 publications

References 0 publications

Cross‐linking duration impacts on Hatay cheeses with microbial transglutaminase enzyme

Cross‐linking duration impacts on Hatay cheeses with microbial transglutaminase enzyme

Research on the Development of Modern Design Through Data Mining Technology

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