Genuine Mexican cheeses: technological processes and manufacturing parameters

2020 ◽  
Vol 13 (11) ◽  
Author(s):  
Mónica Andrea Celeste Centeno-Rodríguez ◽  
Mónica Giovanna Gutiérrez-Cárdenas ◽  
Mariana Jaime-Patlán ◽  
Ezequiel Francisco Meza-Plaza ◽  
Karen Estefanía Montecillos-Ramírez ◽  
...  
Keyword(s):  
Moisture Content ◽  
Shelf Life ◽  
Large Scale ◽  
Global Market ◽  
Current Situation ◽  
Manufacturing Processes ◽  
Processing Conditions ◽  
Soft Or ◽  
Manufacturing Parameters

Objective: To give an overview of the current situation of Mexican genuine cheeses (MGCs), their characteristics and their production processing conditions (milk origin, coagulation agent, type of ripening and maturation). Methodology: Information on about twenty MGCs available in scientific articles, databases, and Internet pages was collected, analyzed, and classified. Results: The main classification of MGCs is made with respect to their moisture content (soft or fresh, semi-soft or semi-hard, and hard). Most MGCs are not matured, thus limiting their shelf life and large-scale commercialization. Matured MGCs use their own microbiota, developing characteristic textures and flavors. Limitations: There is little research on the MGC manufacturing processes and their impact on the physical and sensory properties of the final product. Furthermore, no MGC has a designation of origin, which is a disadvantage on the global market. Conclusions: Most MGCs are produced manually and only few of them are produced on a (semi)industrial scale. Standardizing their production would allow their producers to make improvements and innovations on MGCs and increase their shelf life.

scholarly journals Development of Polyhouse Solar Dryer for Drying Granular Jaggery

2021 ◽  
Vol 12 (5) ◽  
pp. 564-569
Author(s):  
P. Sreedevi ◽  
◽  
K. Veerabhadrarao ◽  
P. Jamuna ◽  
P. V. K. Jaganadha Rao ◽  
...  
Keyword(s):  
Moisture Content ◽  
Shelf Life ◽  
Large Scale ◽  
Agricultural Research ◽  
Quality Parameters ◽  
Research Station ◽  
Renewable Energy Resources ◽  
Ambient Conditions ◽  
Solar Dryer ◽  
Hygienic Conditions

Jaggery is a traditional Indian sweetener prepared from sugarcane juice through evaporation process and is considered as medicinal sugar due to its nutritional and thereupatic properties. To improve the shelf-life of solid jaggery , making jaggery in the form of granules with moisture content of 1–2% was recommended. A Polyhouse solar dryer for drying granular jaggery with a capacity of 200 kg was developed at Regional Agricultural Research Station, Anakapalle, Andhra Pradesh, India. Traditionally, granular jaggery was dried in openyard resulting in contamination with dust, insects, birds and rain. A comparative study was carried for drying granular jaggery with initial moisture of 9.3 to 10.5% (db) in both polyhouse solar dryer and in an open yard during the month of March– April, 2019. The study revealed that the rate of drying was faster in poly house compared to open yard drying. The temperature inside the polyhouse dryer was 59% higher than the ambient conditions. The percent saving in time for drying of granular jaggery in poly house dryer was 38% to attain optimum moisture content of 1.7% for stable shelf life besides maintaining hygienic conditions. The quality parameters of jaggery in terms of sucrose and reducing sugars percentage showed insignificant changes in both methods. However, the color of the granular jaggery was well retained in polyhouse dryer compared to open yard drying. Hence, this study will be helpful for small and micro entrepreneurs for large scale drying of granular jaggery under hygienic conditions utilizing renewable energy resources.

scholarly journals Analisis Umur Simpan Bubuk Kakao dalam Kemasan Plastik Standing Pounch Menggunakan Pendekatan Model Arrhenius

2017 ◽  
Vol 1 (1) ◽  
pp. 43
Author(s):  
Iman Sabarisman ◽  
Satria Bhirawa Anoraga ◽  
Ika Restu Revulaningtyas
Keyword(s):  
Moisture Content ◽  
Shelf Life ◽  
Peroxide Value ◽  
Large Scale ◽  
Initial Moisture Content ◽  
Gravimetric Method ◽  
Storage Period ◽  
Raw Material ◽  
Scale Production ◽  
Cocoa Powder

Cocoa powder is usually used to be a raw material in the chocolate products. In the large scale production, cocoa powder must be stored at specific time period before it was used. The quality of cocoa powder can decrease during storage period hence shelf life analysis of cocoa powder is needed. The aim of this study was to determine the shelf life of cocoa powder by Accelerated Shelf Life Testing (ASLT) Method with Arrhenius Model Approach. Cocoa powder was stored at different temperature (30, 40, and 50oC) and different packaging type (plastic with zipper and paper craft with zipper) to simul atedacceleration of damage as a result of temperature increase. Cocoa powder contained high level of fat so it more easily gone rancid. Moisture content and peroxide value were observed periodically that shown the quality parameters of cocoa powder. Initial moisture content and fat content of cocoa powder were analyzed by gravimetric method. Degree of rancidity which was shown with peroxide value was analyzed by iodometric titration method. According to the change of peroxide value, the shelf life of cocoa powder can be estimated.

PENGARUH VIRGIN COCONUT OIL (VCO) TERHADAP KARAKTERISTIK DAN UMUR SIMPAN ROTI MANIS

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Aulia Alfi
Keyword(s):  
Moisture Content ◽  
Shelf Life ◽  
Coconut Oil ◽  
Temperature Treatment ◽  
Ash Content ◽  
Virgin Coconut Oil ◽  
Food Ingredients ◽  
Life Analysis ◽  
Antibacterial And Antifungal ◽  
Physical And Chemical

Virgin Coconut Oil (VCO) adalah bahan alami yang memiliki sifat antimikroba (antivirus, antibakteri, dan antijamur). Sehingga VCO dapat memberikan efek pengawet pada bahan makanan, salah satunya adalah roti manis. Penelitian ini dilakukan untuk mengevaluasi pengaruh VCO terhadap karakteristik (fisik dan kimia) dan umur simpan roti manis. Roti manis dianalisis secara fisik (tekstur dan porositas) dan kimia (kadar air, kadar abu, kadar lemak, kadar protein, dan kandungan karbohidrat), dan analisis umur simpan dengan FFA, uji organoleptik dan jamur setiap dua hari selama delapan hari penyimpanan di suhu ruang. Variasi perlakuan roti manis adalah dari rasio konsentrasi VCO: margarin: mentega, K (0%: 8%: 8%); A (4%: 6%: 6%); B (8%: 4%: 4%), C (12%: 2%: 2%); D (16%: 0%: 0%). Hasil penelitian menunjukkan bahwa VCO tidak memiliki pengaruh yang signifikan terhadap karakteristik fisik dan karakteristik kimia roti manis. Namun, VCO berpengaruh signifikan terhadap kadar air roti manis yang dihasilkan, roti manis K memiliki kadar air tertinggi (22,36%) dan berbeda dengan sampel roti manis lainnya. VCO secara efektif menghambat pertumbuhan jamur di roti manis pada konsentrasi 8%, 12%, dan 16%. Roti manis K dan A memiliki masa simpan 4 hari, sedangkan roti manis B, C, dan D memiliki masa simpan 6 hari.Kata kunci: VCO, roti manis, karakteristik, umur simpanABSTRACTVirgin Coconut Oil (VCO) is a natural ingredient that has antimicrobial (antiviral, antibacterial, and antifungal) properties. So that VCO can provide a preservative effect on food ingredients, one of which is sweet bread. This research was conducted to evaluate the effect of VCO on characteristics (physical and chemical) and shelf life of sweet bread. Sweet bread was analyzed physically (texture and porosity) and chemistry (moisture content, ash content, fat content, protein content, and carbohydrate content), and shelf life analysis with FFA, organoleptic and mold tests every two days for eight days of storage at ambient temperature. Treatment variations of sweet breads is from the ratio of the concentration of VCO: margarine: butter, K (0%: 8%: 8%); A (4%: 6%: 6%); B (8%: 4%: 4%), C (12%: 2%: 2%); D (16%: 0%: 0%). The results showed that VCO did not have a significant effect on the physical characteristics and chemical characteristics of sweet bread. However, the VCO has a significant effect on the water content of the sweet bread produced, sweet bread K has the highest moisture content (22,36%) and it is different from other sweet bread samples. VCO effectively inhibits the growth of sweet bread mold at concentrations of 8%, 12%, and 16%. K and A sweet bread has a shelf life of 4 days, while sweet breads B, C, and D have a shelf life of 6 days.Keywords: VCO, sweet bread, characteristics, shelf life

Classification of woody-shrub vegetation of the forest-steppe complex of Privolzhskaya Upland

2009 ◽  
pp. 27-53
Author(s):  
A. Yu. Kudryavtsev
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Dominant Species ◽  
Large Scale ◽  
Nature Reserve ◽  
Vegetation Mapping ◽  
Vegetation Classification ◽  
Forest Steppe ◽  
Mapping Data

Diversity of plant communities in the nature reserve “Privolzhskaya Forest-Steppe”, Ostrovtsovsky area, is analyzed on the basis of the large-scale vegetation mapping data from 2000. The plant community classi­fication based on the Russian ecologic-phytocoenotic approach is carried out. 12 plant formations and 21 associations are distinguished according to dominant species and a combination of ecologic-phytocoenotic groups of species. A list of vegetation classification units as well as the characteristics of theshrub and woody communities are given in this paper.

Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam

1996 ◽  
pp. 64-67 ◽  
Author(s):  
Nguen Nghia Thin ◽  
Nguen Ba Thu ◽  
Tran Van Thuy
Keyword(s):  
National Park ◽  
Large Scale ◽  
Satellite Images ◽  
Field Work ◽  
Aerial Photographs ◽  
Vegetation Map ◽  
Dense Forest ◽  
Broad Leaved Forest ◽  
Leaved Forest

The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. In the classification presented a number of different level vegetation units have been identified: formation classes (3), formation sub-classes (3), formation groups (3), formations (4), subformations (10) and communities (19). Communities have been taken as mapping units. So in the vegetation map of the National Park 19 vegetation categories has been shown altogether, among them 13 are natural primary communities, and 6 are the secondary, anthropogenic ones. The secondary succession goes through 3 main stages: grassland herbaceous xerophytic vegetation, xerophytic scrub, dense forest.

The Swiss Prison Study (SWIPS): Protocol for Establishing a Public Health Registry of Prisoners in Switzerland (Preprint)

2020 ◽  
Author(s):  
Thomas Gaisl ◽  
Naser Musli ◽  
Patrick Baumgartner ◽  
Marc Meier ◽  
Silvana K Rampini ◽  
...  
Keyword(s):  
Public Health ◽  
Medical History ◽  
Large Scale ◽  
International Classification Of Diseases ◽  
Disease Prevalence ◽  
Vulnerable Population ◽  
International Classification ◽  
Classification Of Diseases ◽  
Health Registry

BACKGROUND The health aspects, disease frequencies, and specific health interests of prisoners and refugees are poorly understood. Importantly, access to the health care system is limited for this vulnerable population. There has been no systematic investigation to understand the health issues of inmates in Switzerland. Furthermore, little is known on how recent migration flows in Europe may have affected the health conditions of inmates. OBJECTIVE The Swiss Prison Study (SWIPS) is a large-scale observational study with the aim of establishing a public health registry in northern-central Switzerland. The primary objective is to establish a central database to assess disease prevalence (ie, International Classification of Diseases-10 codes [German modification]) among prisoners. The secondary objectives include the following: (1) to compare the 2015 versus 2020 disease prevalence among inmates against a representative sample from the local resident population, (2) to assess longitudinal changes in disease prevalence from 2015 to 2020 by using cross-sectional medical records from all inmates at the Police Prison Zurich, Switzerland, and (3) to identify unrecognized health problems to prepare successful public health strategies. METHODS Demographic and health-related data such as age, sex, country of origin, duration of imprisonment, medication (including the drug name, brand, dosage, and release), and medical history (including the International Classification of Diseases-10 codes [German modification] for all diagnoses and external results that are part of the medical history in the prison) have been deposited in a central register over a span of 5 years (January 2015 to August 2020). The final cohort is expected to comprise approximately 50,000 to 60,000 prisoners from the Police Prison Zurich, Switzerland. RESULTS This study was approved on August 5, 2019 by the ethical committee of the Canton of Zurich with the registration code KEK-ZH No. 2019-01055 and funded in August 2020 by the “Walter and Gertrud Siegenthaler” foundation and the “Theodor and Ida Herzog-Egli” foundation. This study is registered with the International Standard Randomized Controlled Trial Number registry. Data collection started in August 2019 and results are expected to be published in 2021. Findings will be disseminated through scientific papers as well as presentations and public events. CONCLUSIONS This study will construct a valuable database of information regarding the health of inmates and refugees in Swiss prisons and will act as groundwork for future interventions in this vulnerable population. CLINICALTRIAL ISRCTN registry ISRCTN11714665; http://www.isrctn.com/ISRCTN11714665 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/23973

“Community Interests” and the Role of International Law in the Creation of a Global Market for Agricultural Land

2018 ◽  
Author(s):  
Jochen von Bernstorff
Keyword(s):  
International Law ◽  
Large Scale ◽  
Agricultural Land ◽  
Food Sovereignty ◽  
Global Market ◽  
Negative Consequences ◽  
Cultural Rights ◽  
Land Grab ◽  
Large Scale Land ◽  
The One

The chapter explores the notion of “community interests” with regard to the global “land-grab” phenomenon. Over the last decade, a dramatic increase of foreign investment in agricultural land could be observed. Bilateral investment treaties protect around 75 per cent of these large-scale land acquisitions, many of which came with associated social problems, such as displaced local populations and negative consequences for food security in Third World countries receiving these large-scale foreign investments. Hence, two potentially conflicting areas of international law are relevant in this context: Economic, social, and cultural rights and the principles of permanent sovereignty over natural resources and “food sovereignty” challenging large-scale investments on the one hand, and specific norms of international economic law stabilizing them on the other. The contribution discusses the usefulness of the concept of “community interests” in cases where the two colliding sets of norms are both considered to protect such interests.

Deep Learning-Based Classification of Large-Scale Airborne LiDAR Point Cloud

2021 ◽  
pp. 1-15
Author(s):  
Mathieu Turgeon-Pelchat ◽  
Samuel Foucher ◽  
Yacine Bouroubi
Keyword(s):  
Deep Learning ◽  
Point Cloud ◽  
Large Scale ◽  
Airborne Lidar

scholarly journals Urban Policies and Large Projects in Central City Areas: The Example of Madrid (Spain)

Urban Science ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 42
Author(s):  
Dolores Brandis García
Keyword(s):  
Urban Planning ◽  
20Th Century ◽  
Large Scale ◽  
Central City ◽  
Global Market ◽  
Late 20Th Century ◽  
Public And Private ◽  
Urban Policies ◽  
Starting Point ◽  
The City

Since the late 20th century major, European cities have exhibited large projects driven by neoliberal urban planning policies whose aim is to enhance their position on the global market. By locating these projects in central city areas, they also heighten and reinforce their privileged situation within the city as a whole, thus contributing to deepening the centre–periphery rift. The starting point for this study is the significance and scope of large projects in metropolitan cities’ urban planning agendas since the final decade of the 20th century. The aim of this article is to demonstrate the correlation between the various opposing conservative and progressive urban policies, and the projects put forward, for the city of Madrid. A study of documentary sources and the strategies deployed by public and private agents are interpreted in the light of a process during which the city has had a succession of alternating governments defending opposing urban development models. This analysis allows us to conclude that the predominant large-scale projects proposed under conservative policies have contributed to deepening the centre–periphery rift appreciated in the city.

scholarly journals Uncertainty-Aware Deep Learning-Based Cardiac Arrhythmias Classification Model of Electrocardiogram Signals

Computers ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 82
Author(s):  
Ahmad O. Aseeri
Keyword(s):  
Deep Learning ◽  
Cardiac Arrhythmias ◽  
Large Scale ◽  
Clinical Decision Making ◽  
Probabilistic Approach ◽  
Classification Model ◽  
Gating Mechanism ◽  
Uncertainty Estimates ◽  
Wide Range

Deep Learning-based methods have emerged to be one of the most effective and practical solutions in a wide range of medical problems, including the diagnosis of cardiac arrhythmias. A critical step to a precocious diagnosis in many heart dysfunctions diseases starts with the accurate detection and classification of cardiac arrhythmias, which can be achieved via electrocardiograms (ECGs). Motivated by the desire to enhance conventional clinical methods in diagnosing cardiac arrhythmias, we introduce an uncertainty-aware deep learning-based predictive model design for accurate large-scale classification of cardiac arrhythmias successfully trained and evaluated using three benchmark medical datasets. In addition, considering that the quantification of uncertainty estimates is vital for clinical decision-making, our method incorporates a probabilistic approach to capture the model’s uncertainty using a Bayesian-based approximation method without introducing additional parameters or significant changes to the network’s architecture. Although many arrhythmias classification solutions with various ECG feature engineering techniques have been reported in the literature, the introduced AI-based probabilistic-enabled method in this paper outperforms the results of existing methods in outstanding multiclass classification results that manifest F1 scores of 98.62% and 96.73% with (MIT-BIH) dataset of 20 annotations, and 99.23% and 96.94% with (INCART) dataset of eight annotations, and 97.25% and 96.73% with (BIDMC) dataset of six annotations, for the deep ensemble and probabilistic mode, respectively. We demonstrate our method’s high-performing and statistical reliability results in numerical experiments on the language modeling using the gating mechanism of Recurrent Neural Networks.

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