Thermochromic Polymeric Films for Applications in Active Intelligent Packaging—An Overview

The need for passive sensors to monitor changes in temperature has been critical in several packaging related applications. Most of these applications involve the use of bar codes, inks and equipment that involve constant complex electronic manipulation. The objective of this paper is to explore solutions to temperature measurements that not only provide product information but also the condition of the product in real time, specifically shelf-life. The study will explore previously proposed solutions as well as plans for modified approaches that involve the use of smart polymers as temperature sensors.

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Real-Time predicting internal temperature of heat generating cylinder from surrounding coolant temperature measurements using neural network

Thermal Science and Engineering Progress ◽

10.1016/j.tsep.2021.100910 ◽

2021 ◽

pp. 100910

Author(s):

Sandeep Patil ◽

Siddarth Chintamani ◽

Brian H. Dennis ◽

Ratan Kumar

Keyword(s):

Neural Network ◽

Real Time ◽

Temperature Measurements ◽

Coolant Temperature ◽

Internal Temperature

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Real-time occupancy detection with physics-informed pattern-recognition machines based on limited CO2 and temperature sensors

Energy and Buildings ◽

10.1016/j.enbuild.2021.110863 ◽

2021 ◽

pp. 110863

Author(s):

Styliani I. Kampezidou ◽

Archana Tikayat Ray ◽

Scott Duncan ◽

Michael G. Balchanos ◽

Dimitri N. Mavris

Keyword(s):

Pattern Recognition ◽

Real Time ◽

Temperature Sensors ◽

Occupancy Detection

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A Multi-Model Approach to Implement a Dynamic Shelf Life Criterion in Meat Supply Chains

Foods ◽

10.3390/foods10112740 ◽

2021 ◽

Vol 10 (11) ◽

pp. 2740

Author(s):

Antonia Albrecht ◽

Maureen Mittler ◽

Martin Hebel ◽

Claudia Waldhans ◽

Ulrike Herbert ◽

...

Keyword(s):

Shelf Life ◽

Real Time ◽

Ph Value ◽

Gompertz Model ◽

Quality Parameters ◽

Viable Count ◽

Short Sales ◽

Time Dynamic ◽

Sensory Data ◽

Model Approach

The high perishability of fresh meat results in short sales and consumption periods, which can lead to high amounts of food waste, especially when a fixed best-before date is stated. Thus, the aim of this study was the development of a real-time dynamic shelf-life criterion (DSLC) for fresh pork filets based on a multi-model approach combining predictive microbiology and sensory modeling. Therefore, 647 samples of ma-packed pork loin were investigated in isothermal and non-isothermal storage trials. For the identification of the most suitable spoilage predictors, typical meat quality parameters (pH-value, color, texture, and sensory characteristics) as well as microbial contamination (total viable count, Pseudomonas spp., lactic acid bacteria, Brochothrix thermosphacta, Enterobacteriaceae) were analyzed at specific investigation points. Dynamic modeling was conducted using a combination of the modified Gompertz model (microbial data) or a linear approach (sensory data) and the Arrhenius model. Based on these models, a four-point scale grading system for the DSLC was developed to predict the product status and shelf-life as a function of temperature data in the supply chain. The applicability of the DSLC was validated in a pilot study under real chain conditions and showed an accurate real-time prediction of the product status.

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Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia

International Journal of Mechanical Engineering Technologies and Applications ◽

10.21776/mechta.2021.002.01.7 ◽

2021 ◽

Vol 2 (1) ◽

pp. 47

Author(s):

Ratna Ekawati ◽

Yandra Arkeman ◽

Suprihatin Suprihatin ◽

Titi Candra Sunarti

Keyword(s):

Supply Chain ◽

Real Time ◽

Information Flow ◽

Value Chain ◽

Distribution Systems ◽

Product Information ◽

Information Support ◽

Main Process ◽

Time Data ◽

Analysis And Design

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.

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Growth optimization during III-nitride multiwafer MOVPE using real-time curvature, reflectance and true temperature measurements

Journal of Crystal Growth ◽

10.1016/j.jcrysgro.2006.10.186 ◽

2007 ◽

Vol 298 ◽

pp. 202-206 ◽

Cited By ~ 31

Author(s):

F. Brunner ◽

V. Hoffmann ◽

A. Knauer ◽

E. Steimetz ◽

T. Schenk ◽

...

Keyword(s):

Real Time ◽

Temperature Measurements ◽

True Temperature ◽

Growth Optimization

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Shelf Life of Food Products: From Open Labeling to Real-Time Measurements

Annual Review of Food Science and Technology ◽

10.1146/annurev-food-030117-012433 ◽

2018 ◽

Vol 9 (1) ◽

pp. 251-269 ◽

Cited By ~ 15

Author(s):

Maria G. Corradini

Keyword(s):

Shelf Life ◽

Real Time ◽

Food Products

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A network of low-cost temperature sensors for real-time monitoring of combined sewer overflow

10.5194/egusphere-egu21-16386 ◽

2021 ◽

Author(s):

Mathias Riechel ◽

Oriol Gutierrez ◽

Silvia Busquets ◽

Neus Amela ◽

Valentina Dimova ◽

...

Keyword(s):

Real Time ◽

Low Cost ◽

Temperature Sensors ◽

Sensor Technology ◽

Detection Accuracy ◽

Combined Sewer Overflow ◽

Monitoring Equipment ◽

Flow Monitoring ◽

Combined Sewer ◽

Sewer Overflow

The H2020 innovation project digital-water.city (DWC) aims at boosting the integrated management of water systems in five major European cities &#8211;&#160;Berlin, Copenhagen, Milan, Paris and Sofia&#160;&#8211; by leveraging the potential of data and digital technologies. The goal is to quantify the benefits of a panel of 15 innovative digital solutions and achieve their long-term uptake and successful integration in the existing digital systems and governance processes. One of these promising technologies is a new generation of sensors for measuring combined sewer overflow occurrence, developed by ICRA and IoTsens.Recent EU regulations have correctly identified CSOs as an important source of contamination and promote appropriate monitoring of all CSO structures in order to control and avoid the detrimental effects on receiving waters. Traditionally there has been a lack of reliable data on the occurrence of CSOs, with the main limitations being: i) the high number of CSO structures per municipality or catchment and ii) the high cost of the flow-monitoring equipment available on the market to measure CSO events. These two factors and the technical constraints of accessing and installing monitoring equipment in some CSO structures have delayed the implementation of extensive monitoring of CSOs. As a result, utilities lack information about the behaviour of the network and potential impacts on the local water bodies.The new sensor technology developed by ICRA and IoTsens provides a simple yet robust method for CSO detection based on the deployment of a network of innovative low-cost temperature sensors. The technology reduces CAPEX and OPEX for CSO monitoring, compared to classical flow or water level measurements, and allows utilities to monitor their network extensively. The sensors are installed at the overflows crest and measure air temperature during dry-weather conditions and water temperature when the overflow crest is submerged in case of a CSO event. A CSO event and its duration can be detected by a shift in observed temperature, thanks to the temperature difference between the air and the water phase. Artificial intelligence algorithms further help to convert the continuous measurements into binary information on CSO occurrence. The sensors can quantify the CSO occurrence and duration and remotely provide real-time overflow information through LoRaWAN/2G communication protocols.The solution is being deployed since October 2020 in the cities of Sofia, Bulgaria, and Berlin, Germany, with 10 offline sensors installed in each city to improve knowledge on CSO emissions. Further 36 (Sofia) and 9 (Berlin) online sensors will follow this winter. Besides its main goal of improving knowledge on CSO emissions, data in Sofia will also be used to identify suspected dry-weather overflows due to blockages. In Berlin, data will be used to improve the accuracy of an existing hydrodynamic sewer model for resilience analysis, flood forecasting and efficient investment in stormwater management measures. First results show a good detection accuracy of CSO events with the offline version of the technology. As measurements are ongoing and further sensors will be added, an enhanced set of results will be presented at the conference.Visit us: https://www.digital-water.city/&#160;Follow us: Twitter (@digitalwater_eu); LinkedIn (digital-water.city)

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