scholarly journals An Ascorbate Bluetooth© Analyzer for Quality Control of Fresh-Cut Parsley Supply Chain

Antioxidants ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1485
Author(s):  
Ylenia Spissu ◽  
Antonio Barberis ◽  
Guy D’hallewin ◽  
Germano Orrù ◽  
Alessandra Scano ◽  
...  
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Storage Temperature ◽  
Amperometric Detection ◽  
Cold Chain ◽  
Ascorbate Oxidase ◽  
Decay Kinetics ◽  
Fresh Cut

This work provides companies in the fresh-cut produce sector with an Ascorbate Bluetooth© Analyzer (ABA), a screen-printed sensor-based device for ascorbic acid (AA) detection, for quality control all along the supply chain. The amperometric detection of AA on fresh and fresh-cut parsley, under correct and incorrect storage temperature, allowed us to investigate the kinetics of AA decay in response to oxidative stress. The role of ascorbate oxidase (AOx) and ascorbate peroxidase (APx) was studied. ABA was used in situ by unskilled personnel. Treatments influenced AA decay kinetics, which were linear in fresh parsley, and non-linear in fresh-cut. Two hours at 28 °C immediately after chopping, the resilience of the fresh-cut parsley was reduced, even though the cold chain was restored. Two hours at −2 °C caused a rapid loss of AA until its complete decay after 72 h. Significant differences between treatments were observed in both the expression and activity of AOx and APx. ABA registered sudden changes of parsley AA following unpredicted variations of temperature during processing or transport. It was useful to remedy the effects of unexpected flaws in the cold chain, which can be proposed for quality preservation of different fresh-cut produce.

scholarly journals Role of Hospital Digital Services in Improvement of Clinical Regime of Patients

2021 ◽  
Author(s):  
Nassim Bout ◽  
Fatima Ouzayd ◽  
Kawtar Retmi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Process Model ◽  
Enterprise Architecture ◽  
Cold Chain ◽  
Chain Management ◽  
Goods And Services ◽  
Digital Services ◽  
Management Approaches

Context: Healthcare supply chain management is the regulation of the flow of medical goods and services from manufacturers to patients. Supply chain management encompasses the planning and managing of all activities involved in sourcing and procurement, conversion, and all logistics management activities. Therefore, it greatly helps material managers to manage through continuous improvement efforts while maintaining the quality of care. Moreover, reinforcing healthcare logistics information technology (IT) architecture immediately leads to more patient satisfaction. Objectives: This study aimed to develop an architecture for designing efficient software aiding with the management of the healthcare supply chain. Methods: This study showed the role of digital services in the improvement of the clinical regime of patients by presenting different approaches with distinguishing the main types of hospital logistics, such as physical flow management, food safety, and cold chain management approaches (e.g., “moving forward”), and modeling these components using the solution architecture principles of ITs, such as Business Process Model and Notation. Results: This study proposed a hospital enterprise architecture by modeling a system to have a base for building a digital catering service that improves the clinical regime of patients.

The Quality Control System of Green Composite Wind Turbine Blade Supply Chain Based on Blockchain Technology

2021 ◽  
Vol 13 (15) ◽  
pp. 8331
Author(s):  
Hang Yu ◽  
Senlai Zhu ◽  
Jie Yang
Keyword(s):  
Quality Control ◽  
Supply Chain ◽  
Control System ◽  
Wind Turbine ◽  
Turbine Blade ◽  
Quality Control System ◽  
Green Composite ◽  
Blockchain Technology ◽  
Traditional Industry

Nowadays, blockchain technology is expected to promote the quality control of traditional industry due to its traceability, transparency and non-tampering characteristics. Although blockchain could offer the traditional industry new energy, there are still some predictable difficulties in the early stage of its application, such as the structure of the blockchain-based system, the role of regulators in the system and high transaction fee by block packing. In this paper, we establish a pioneering quality control system for the green composite wind turbine blade supply chain based on blockchain technology. Firstly, the framework of this system is proposed to ensure that the quality of the product could not only be examined and verified by regulator, but also be monitored by other related nodes. Next, we develop a new way to store the data by hash fingerprint and the cost of transaction fees is significantly reduced in the case of a large amount of data. Then, the information on-chain method is developed to realize the data traceability of each node. At last, the tests of this system are carried out to prove its validity, the satisfactory results are obtained and information supervision and sharing role of the regulators are discussed.

Modeling of Changes in Atmosphere Composition in Fresh-cut Peach Packages due to Temperature Fluctuations

2008 ◽  
Vol 14 (5_suppl) ◽  
pp. 109-116 ◽  
Author(s):  
J. Gonzalez ◽  
E. Arias ◽  
M.L. Salvador ◽  
R. Oria
Keyword(s):  
Prunus Persica ◽  
Storage Temperature ◽  
Respiratory Activity ◽  
Transmission Rate ◽  
Temperature Fluctuations ◽  
Cold Chain ◽  
Effect Of Temperature ◽  
Fresh Food ◽  
O2 Reduction ◽  
Fresh Cut

Storage temperature is not always constant in the distribution chain of modified atmosphere fresh food packages. A change in temperature means an alteration in the respiration rate of the product and in the gas transmission rates through the film. Because of their high metabolic activity, minimally processed products are particularly sensitive to temperature variation, and hence this study has been carried out with five cultivars of fresh-cut peaches (Prunus persica). Their respiratory activity has been determined by a closed system at 4, 15, and 25 °C. The peach segments are wrapped in microperforated films whose transmission rate is determined according to the size of the microperforations (between 100 × 130 μm and 215 × 190 μm). To quantify the effect of temperature fluctuations (5 h at 25 °C) on the O2 and CO2 concentrations of the packaging atmosphere of the product, a mathematical model has been applied. Using experimental data, it has been established that the rate of O2 consumption is a potential function of the O2 concentration, while the production of CO2 is linear. Although, all cultivars are of nonmelting fresh with no big differences in respiratory activity; these differences are accentuated with O2 concentrations greater than 10% and raising the temperature. The solution of the model provides knowledge of the behavior of the product during its nonstationary period and equilibrium once reached. The results show in all cases that the CO 2 concentration is more sensitive (increase of 5 units) to a break in the cold chain than that of O2 (reduction of 2 units).

Growth of Salmonella enterica and Listeria monocytogenes on Fresh-Cut Cantaloupe under Different Temperature Abuse Scenarios

2015 ◽  
Vol 78 (6) ◽  
pp. 1125-1131 ◽  
Author(s):  
JINGWEI HUANG ◽  
YAGUANG LUO ◽  
XIANGWU NOU
Keyword(s):  
Listeria Monocytogenes ◽  
Salmonella Enterica ◽  
Room Temperature ◽  
Storage Temperature ◽  
Cold Chain ◽  
Significant Deterioration ◽  
Tissue Integrity ◽  
Cell Counts ◽  
Fresh Cut ◽  
The Impact

Effective cold chain management is a critical component of food safety practice. In this study, we examined the impact of commonly encountered temperature abuse scenarios on the proliferation of Salmonella enterica and Listeria monocytogenes on fresh-cut cantaloupe. Inoculated fresh-cut cantaloupe cubes were subjected to various temperature abuse conditions, and the growth of S. enterica and L. monocytogenes was determined. During 1 week of storage, Salmonella cell counts on fresh-cut cantaloupe increased by −0.26, 1.39, and 2.23 log units at 4°C (control), 8°C, and 12°C (chronic temperature abuse), respectively, whereas that of L. monocytogenes increased by 0.75, 2.86, and 4.17 log units. Under intermittent temperature abuse conditions, where storage temperature fluctuated twice daily to room temperature for 30 min, Salmonella cell count increased by 2.18 log units, whereas that of L. monocytogenes increased by 1.86 log units. In contrast, terminal acute temperature abuses for 2 to 4 h resulted in upwards to 0.6 log unit for Salmonella, whereas the effect on L. monocytogenes was less significant compared with L. monocytogenes on cut cantaloupe stored at 4°C. Significant deterioration of produce visual quality and tissue integrity, as reflected by electrolyte leakage, was also observed under various temperature abuse conditions.

scholarly journals Orange cold chain with multiple nutritional components

2021 ◽  
Author(s):  
Muhammad Kamran
Keyword(s):  
Supply Chain ◽  
Global Stability ◽  
Lead Time ◽  
Storage Temperature ◽  
Stability Index ◽  
Cold Chain ◽  
Chain Model ◽  
Total Cost ◽  
Stochastic Lead Time ◽  
Quality Degradation

Two echelon cold supply chain model is developed in which warehouse and retailer are the two main actors of supply chain. The model is based on energy consumption cost for chiller system and the stochastic lead time. To incorporate the quality degradation, global stability index (GSI) method is used. The objective is to analyze the effect of retailer’s storage temperature and nutritional index weightage on the total cost of supply chain. A breakdown structure of all the associated costs is developed to formulate the total cost of cold chain. A numerical example is used for better understanding. To find the optimal solution, the model is numerically solved by using matlab genetic algorithm. The sensitivity analysis is being performed to study the model behavior against different parameters. Keywords: Cold chain, echelon valuation, quality degradation, global stability index, stochastic lead time

scholarly journals Orange cold chain with multiple nutritional components

2021 ◽  
Author(s):  
Muhammad Kamran
Keyword(s):  
Supply Chain ◽  
Global Stability ◽  
Lead Time ◽  
Storage Temperature ◽  
Stability Index ◽  
Cold Chain ◽  
Chain Model ◽  
Total Cost ◽  
Stochastic Lead Time ◽  
Quality Degradation

Two echelon cold supply chain model is developed in which warehouse and retailer are the two main actors of supply chain. The model is based on energy consumption cost for chiller system and the stochastic lead time. To incorporate the quality degradation, global stability index (GSI) method is used. The objective is to analyze the effect of retailer’s storage temperature and nutritional index weightage on the total cost of supply chain. A breakdown structure of all the associated costs is developed to formulate the total cost of cold chain. A numerical example is used for better understanding. To find the optimal solution, the model is numerically solved by using matlab genetic algorithm. The sensitivity analysis is being performed to study the model behavior against different parameters. Keywords: Cold chain, echelon valuation, quality degradation, global stability index, stochastic lead time

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