Texture Profile Analysis of Sliced Cheese in relation to Chemical Composition and Storage Temperature

The quantitative relationships among chemical composition, storage temperature, and texture of cheese were not fully understood. In this study, the effects of composition and temperature on textural properties of eight common varieties of sliced cheese were examined. The textural properties of sliced cheeses, including firmness, cohesiveness, adhesiveness, springiness, chewiness, and resilience, were measured by texture profile analysis after storage at 4 and 25 ∘ C for 4 h. Multivariate logistic regression models were established to describe the quantitative relationships of textural properties (dependent variables) to chemical composition and storage temperature (independent variables) of sliced cheeses. Results showed that protein, fat, moisture, and sodium chloride contents as well as storage temperature significantly affected the texture of sliced cheeses ( < 0.05). In particular, fat in the dry matter and moisture in the nonfat substances were negatively correlated with firmness of sliced cheeses ( < 0.05). As storage temperature rose from 4 to 25 ∘ C, the average values of firmness, chewiness, and resilience substantially declined by 42%, 45%, and 17%, respectively ( < 0.05). This study provided reference data for adjusting chemical composition and storage temperature of common cheese products to obtain favorable texture for Chinese consumers, which thereby facilitated the localization of cheese industry in Chinese market

Texture Profile Analysis of Sliced Cheese in relation to Chemical Composition and Storage Temperature

The quantitative relationships among chemical composition, storage temperature, and texture of cheese were not fully understood. In this study, the effects of composition and temperature on textural properties of eight common varieties of sliced cheese were examined. The textural properties of sliced cheeses, including firmness, cohesiveness, adhesiveness, springiness, chewiness, and resilience, were measured by texture profile analysis after storage at 4 and 25°C for 4 h. Multivariate logistic regression models were established to describe the quantitative relationships of textural properties (dependent variables) to chemical composition and storage temperature (independent variables) of sliced cheeses. Results showed that protein, fat, moisture, and sodium chloride contents as well as storage temperature significantly affected the texture of sliced cheeses (P<0.05). In particular, fat in the dry matter and moisture in the nonfat substances were negatively correlated with firmness of sliced cheeses (P<0.05). As storage temperature rose from 4 to 25°C, the average values of firmness, chewiness, and resilience substantially declined by 42%, 45%, and 17%, respectively (P<0.05). This study provided reference data for adjusting chemical composition and storage temperature of common cheese products to obtain favorable texture for Chinese consumers, which thereby facilitated the localization of cheese industry in Chinese market

Characterization of Chitosan Films Incorporated with Different Substances of Konjac Glucomannan, Cassava Starch, Maltodextrin and Gelatin, and Application in Mongolian Cheese Packaging

Four kinds of edible composite films based on chitosan combined with additional substances (konjac glucomannan, cassava starch, maltodextrin and gelatin) and the addition of lysozyme were prepared and used as packaging materials for Mongolian cheese. The prepared composite films were evaluated using scanning electron microscopy and Fourier transform infrared spectroscopy. The physicochemical properties of all chitosan composite films, including thickness, viscosity, opacity, color, moisture content, water vapor permeability, tensile strength and elongation at break, were measured. The results show that Konjac glucomannan&ndash;chitosan composite film presented the strongest mechanical property and highest transparency. The cassava starch&ndash;chitosan composite film presented the highest water barrier property. The study on the storage characteristics of Mongolian cheese was evaluated at 4 &deg;C. The results show that the cheese packaging by cassava starch&ndash;chitosan composite film presented better treatment performance in maintaining the quality, reducing weight loss and delayering microbial growth

40-Deoxy-40(S)-iodorapamycin

The title compound, C51H78INO12, contains a 29-membered ring incorporating amide, lactone and ester groups. It contains a total of 15 stereogenic centres. In the crystal, molecules are linked by O&amp;#8212;H...O hydrogen bonds, forming C(8) chains propagating in [100]. A weak intramolecular O&amp;#8212;H...O interaction also occurs

An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI

Quantitative and accurate urban land information on regional and global scales is urgently required for studying socioeconomic and eco-environmental problems. The spatial distribution of urban land is a significant part of urban development planning, which is vital for optimizing land use patterns and promoting sustainable urban development. Composite nighttime light (NTL) data from the Defense Meteorological Program Operational Line-Scan System (DMSP-OLS) have been proven to be effective for extracting urban land. However, the saturation and blooming within the DMSP-OLS NTL hinder its capacity to provide accurate urban information. This paper proposes an optimized approach that combines NTL with multiple index data to overcome the limitations of extracting urban land based only on NTL data. We combined three sources of data, the DMSP-OLS, the normalized difference vegetation index (NDVI), and the normalized difference water index (NDWI), to establish a novel approach called the vegetation–water-adjusted NTL urban index (VWANUI), which is used to rapidly extract urban land areas on regional and global scales. The results show that the proposed approach reduces the saturation of DMSP-OLS and essentially eliminates blooming effects. Next, we developed regression models based on the normalized DMSP-OLS, the human settlement index (HSI), the vegetation-adjusted NTL urban index (VANUI), and the VWANUI to analyze and estimate urban land areas. The results show that the VWANUI regression model provides the highest performance of all the models tested. To summarize, the VWANUI reduces saturation and blooming, and improves the accuracy with which urban areas are extracted, thereby providing valuable support and decision-making references for designing sustainable urban development

Spatiotemporal Evolution Characteristics of Urbanization in the Xiamen Special Economic Zone Based on Nighttime-Light Data from 1992 to 2020

In China and elsewhere, urban expansion is directly related to the important issues of social development, economic development, and the sustainable development of the ecological environment. Traditional statistical methods based on administrative regions lack geospatial information, which makes it difficult to analyze and explore in detail the development status and spatial differences of cities. In real time, nighttime light (NTL) remote sensing can reveal the spatial expansion change information of urban built-up areas (UB) on different scales, thus allowing for the analysis of urban spatial patterns and variations in urban development. Based on the long-time sequence NTL data from 1992 to 2020, this work studies the Xiamen Special Economic Zone by using the vegetation-water-adjusted NTL urban index (VWANUI) to extract the urban built-up areas and study the UB expansion patterns, the migration of the urban center of gravity, and intra-city differences. The result is a qualitative and quantitative temporal and spatial evaluation of Xiamen&rsquo;s economic development characteristics. The results show that the UB of Xiamen expanded 349.219 km2 from 1995 to 2020, mainly concentrated in the period 2005&ndash;2020, during which time 79.44% of the expansion of the whole study period occurred. Throughout the study period, the urban center of gravity of Xiamen city shifts 8757.15 m to the northeast at the rate of 350.29 m/year in the direction of 74.88&deg; (the urban center of gravity shifted from the inner island to the outer island). The total brightness of nighttime lights in Xiamen is gradually increasing, indicating that the level of urban economic development continuously improved over the measurement period, that human social activities have strengthened, and that the cross-island development strategy has produced certain results. These results provide data that describe urban development and policy formulation in Xiamen

Insights into characteristic metabolites and potential bioactive peptides profiles of fresh cheese fermented with three novel probiotics based metabolomics and peptidomics

The metabolite and peptide profiles of fresh cheese fermented by three novel probiotics, Lacticaseibacillus rhamnosus B6, Limosylactobacillus fermentum B44 and Lacticaseibacillus rhamnosus KF7, were investigated using LC-MS/MS-based metabolomics and peptidomics. The multivariate analysis revealed significant differences in metabolite composition between the probiotic fresh cheese and the control sample. The differential metabolites were primarily lipids and lipid-like molecules and organic oxygen compounds, which were associated with fatty acid and carbohydrate-related pathways. Among three probiotics, L. rhamnosus KF7 showed the highest effectiveness in sucrose decomposition. 147 potential bioactive peptides, mainly derived from casein, were identified in probiotic fresh cheese. Furthermore, 112 bioactive peptides were significantly up-regulated in probiotic fresh cheese. Molecular docking analysis indicated that two short peptides (LVYPFPGPIP and YPQRDMPIQ) in the B44 and KF7 groups exhibited low estimated binding energy values (−9.9 and −6.9 kcal/mol) with ACE. These findings provide a theoretical basis for developing novel probiotic-enriched fresh cheese