scholarly journals Errors That Occur from Using an Inappropriate Thermal Buffer When Monitoring the Storage Conditions of Temperature Sensitive Products: Size and Material DO Matter

2018 ◽  
Vol 9 (2) ◽  
pp. 16
Author(s):  
Michael Richard Rusnack
Keyword(s):  
Thermal Properties ◽  
Air Temperature ◽  
Cold Storage ◽  
Storage Conditions ◽  
Complex Problem ◽  
Cold Chain ◽  
Original Research ◽  
Temperature Sensitive ◽  
Storage Unit ◽  
Chain Conditions

Common practice in the monitoring of cold chain conditions for temperature sensitive products is to employ a physical thermal buffer into which the temperature probe is inserted. This buffer may be a bottle of glycol or other liquid, a container of glass beads, aluminum block or nearly any other media the user feels appropriate. The purpose of the buffer is to simulate the experience of the stored product rather than the air temperature. Obviously, this mission will not be accomplished to the extent that the physical buffer is not matched to the thermal properties of the stored product and its container. Cold chain managers are faced with a complex problem if they attempt to take this issue into account. Furthermore, a match is not possible with a single physical buffer when the cold storage unit contains different products or size containers. This paper quantifies the results of this mismatch from various factors and suggests possible solutions to this dilemma.   Type: Original Research

scholarly journals Kinetics of Quality Changes ofPangasiusFillets at Stable and Dynamic Temperatures, Simulating Downstream Cold Chain Conditions

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Nga Mai ◽  
Van Huynh
Keyword(s):  
Storage Time ◽  
Sensory Quality ◽  
Storage Conditions ◽  
Cold Chain ◽  
Quality Changes ◽  
Acceptable Limit ◽  
Chain Conditions ◽  
Supporting Tool ◽  
Kinetics Of ◽  
Microbiological Analyses

This study was about the quality changes ofPangasiusfillets during storage under simulated temperature conditions of downstream cold chain. Sensory, chemical, and microbiological analyses were conducted over storage time and bacterial growth was modelled. Sensory quality index (QI), at five stable (1, 4, 9, 15, and 19 ± 1°C) and three dynamic temperatures, progressed faster at higher temperatures, especially with sooner temperature abuses. Total volatile basic nitrogen remained under the acceptable limit throughout all the storage conditions. Total viable psychrotrophic counts (TVC) were around 5.68 ± 0.24 log CFU g−1at the beginning and exceeded the limit of 6 log CFU g−1after 216, 96, 36, 16, and 7 h at 1, 4, 9, 15, and 19 ± 1°C, respectively. Meanwhile,Pseudomonascounts started at 3.81 ± 0.53 log CFU g−1and reached 4.60–6.36 log CFU g−1by the time of TVC rejection. Since lower shelf lives were given by TVC rather than QI, it should be appropriate to base the product shelf life on the TVC acceptable limit. Kinetics models based on the Baranyi and Roberts and square root models, developed for TVC andPseudomonasspp., gave acceptable bacterial estimations at dynamic temperatures, with over 80% of observed counts within the acceptable simulation zone, revealing promising model applicability as a supporting tool for cold chain management. However, further improvement and validation of the models are needed.

scholarly journals A Milk Foodomics Investigation into the Effect of Pseudomonas fluorescens Growth under Cold Chain Conditions

Foods ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 1173
Author(s):  
Paolo Bellassi ◽  
Gabriele Rocchetti ◽  
Lorenzo Morelli ◽  
Biancamaria Senizza ◽  
Luigi Lucini ◽  
...  
Keyword(s):  
Pseudomonas Fluorescens ◽  
Degradation Products ◽  
Storage Conditions ◽  
Cold Chain ◽  
Lower Sensitivity ◽  
Multivariate Statistical ◽  
Proteolytic Activities ◽  
Quality Of Milk ◽  
Potential Tool

Pseudomonas fluorescens is a psychrotrophic species associated with milk spoilage because of its lipolytic and proteolytic activities. Consequently, monitoring P. fluorescens or its antecedent activity in milk is critical to preventing quality defects of the product and minimizing food waste. Therefore, in this study, untargeted metabolomics and peptidomics were used to identify the changes in milk related to P. fluorescens activity by simulating the low-temperature conditions usually found in milk during the cold chain. Both unsupervised and supervised multivariate statistical approaches showed a clear effect caused by the P. fluorescens inoculation on milk samples. Our results showed that the levels of phosphatidylglycerophosphates and glycerophospholipids were directly related to the level of contamination. In addition, our metabolomic approach allowed us to detect lipid and protein degradation products that were directly correlated with the degradative metabolism of P. fluorescens. Peptidomics corroborated the proteolytic propensity of P. fluorescens-contaminated milk, but with lower sensitivity. The results obtained from this study provide insights into the alterations related to P. fluorescens 39 contamination, both pre and post heat treatment. This approach could represent a potential tool to retrospectively understand the actual quality of milk under cold chain storage conditions, either before or after heat treatments.

scholarly journals Influence of cold-storage conditions on renal function of autotransplanted large pig kidneys

2000 ◽  
Vol 58 (2) ◽  
pp. 838-850 ◽  
Author(s):  
Jean Michel Goujon ◽  
Alain Vandewalle ◽  
Herve Baumert ◽  
Michel Carretier ◽  
Thierry Hauet
Keyword(s):  
Renal Function ◽  
Cold Storage ◽  
Storage Conditions

scholarly journals Fruit quality preservation of 'Laetitia' plums under controlled atmosphere storage

2014 ◽  
Vol 86 (1) ◽  
pp. 485-494 ◽  
Author(s):  
CRISTIANO ANDRÉ STEFFENS ◽  
CASSANDRO V.T. DO AMARANTE ◽  
ERLANI O. ALVES ◽  
AURI BRACKMANN
Keyword(s):  
Fruit Quality ◽  
Cold Storage ◽  
Ethylene Production ◽  
Titratable Acidity ◽  
Storage Conditions ◽  
Controlled Atmosphere ◽  
Controlled Atmosphere Storage ◽  
Red Color ◽  
High Incidence ◽  
Atmosphere Storage

The objective of this study was to evaluate the effect of controlled atmosphere (CA) on quality preservation of ‘Laetitia’ plums, mainly on internal breakdown, in order to determine the best CA storage conditions. Two experiments were carried out one in 2010, and another in 2011. In 2010, besides cold storage (CS; 21.0 kPa O2 + 0.03 kPa CO2), the fruits were stored under the following CA conditions (kPa O2+kPa CO2): 1+3, 1+5, 2+5, 2+10, and 11+10. In 2011, the fruits were stored under CS and CA of 1+0, 1+1, 2+1, and 2+2. The fruit stored under different CA conditions had lower respiration and ethylene production, better preservation of flesh firmness, texture and titratable acidity, lower skin red color, and lower incidence of skin cracking than the fruit in CS. In 2010, the fruit under CA with 2+5, 1+5, and 1+3 had a pronounced delay in ripening, although it exhibited a high incidence of internal breakdown. In 2011, the CA conditions with 2+1 and 2+2 provided the best delay in ripening and a reduced incidence of internal breakdown. The best CA condition for cold storage (at 0.5°C) of ‘Laetitia’ plums is 2 kPa O2 + 2 kPa CO2.

scholarly journals Assessment of cold chain and logistics management practices: a cross sectional study in Bundelkhand region of Madhya Pradesh

2018 ◽  
Vol 5 (12) ◽  
pp. 5143
Author(s):  
Ram K. Panika ◽  
Amarnath Gupta
Keyword(s):  
Management Practices ◽  
Cross Sectional Study ◽  
Logistics Management ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Sectional Study ◽  
Cross Sectional ◽  
Shake Test ◽  
The Status ◽  
Knowledge And Practice

Background: Immunization is one of the most effective disease prevention strategies. Potency of vaccine is dependent on effective management of cold chain system at all levels of vaccine handling. This study was carried out to assess the status of cold chain equipment and logistics management practices, Knowledge and practice of CCHs about cold chain equipment and logistics management.Methods: Cross-sectional study was conducted in all functional cold chain points of Damoh district using structured questionnaires provided by UNICEF.Results: Only 57.14% and 71% CCPs had dedicated space for dry storage and for conditioning of ice packs respectably. 50% CCPs had correct placement of ice-packs inside DFs. Functional thermometer inside every equipment was available in 86% CCPs. Twice daily temperature recording and temperature of ILRs was within normal range in 93% CCPs. Record of power failures and defrosting/cleaning in temperature log books was found in 57% and 43% CCPs. Temp log book was countersigned by facility in charge in 43% CCPs. UIP vaccines were stored within basket in 93%. Fractional IPV was stock out in 29% CCPs and in 07% CCPs OPV vials were found with not usable VVM. 86%, 72% and 64% of CCHs had knowledge on freeze/temperature sensitive vaccines, cold chain pray and, Shake test. In 79% CCPs expired/wasted vaccines were not documented in stock.Conclusions: Most of the components of cold chain and logistics management practices were satisfactory while there is a gap in other components which needs to be improved. 

Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Henry Lau ◽  
Yung Po Tsang ◽  
Dilupa Nakandala ◽  
Carman K.M. Lee
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Small And Medium Enterprises ◽  
Handling Time ◽  
Cold Chain ◽  
Pairwise Comparisons ◽  
Temperature Sensitive ◽  
Multi Criteria Decision Making ◽  
Firm Level ◽  
Content Type

PurposeIn the cold supply chain (SC), effective risk management is regarded as an essential component to address the risky and uncertain SC environment in handling time- and temperature-sensitive products. However, existing multi-criteria decision-making (MCDM) approaches greatly rely on expert opinions for pairwise comparisons. Despite the fact that machine learning models can be customised to conduct pairwise comparisons, it is difficult for small and medium enterprises (SMEs) to intelligently measure the ratings between risk criteria without sufficiently large datasets. Therefore, this paper aims at developing an enterprise-wide solution to identify and assess cold chain risks.Design/methodology/approachA novel federated learning (FL)-enabled multi-criteria risk evaluation system (FMRES) is proposed, which integrates FL and the best–worst method (BWM) to measure firm-level cold chain risks under the suggested risk hierarchical structure. The factors of technologies and equipment, operations, external environment, and personnel and organisation are considered. Furthermore, a case analysis of an e-grocery SC in Australia is conducted to examine the feasibility of the proposed approach.FindingsThroughout this study, it is found that embedding the FL mechanism into the MCDM process is effective in acquiring knowledge of pairwise comparisons from experts. A trusted federation in a cold chain network is therefore formulated to identify and assess cold SC risks in a systematic manner.Originality/valueA novel hybridisation between horizontal FL and MCDM process is explored, which enhances the autonomy of the MCDM approaches to evaluate cold chain risks under the structured hierarchy.

Cold Chain Logistics in India

2016 ◽  
pp. 159-172 ◽  
Author(s):  
Swapnil Saurav ◽  
Ravi Potti
Keyword(s):  
Supply Chain ◽  
Fruits And Vegetables ◽  
Critical Role ◽  
High Energy ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Horticultural Crops ◽  
Perishable Goods ◽  
Power Deficit ◽  
Marine Products

Cold Chain refers to the transportation of temperature sensitive products like perishable goods from the point of origin to point of consumption in the food supply chain, which keeps it fresh and edible for a much longer period than in normal conditions. Cold Chain helps in transporting seasonal products and also making it available throughout the year. Two main parts of cold chain are transportation and storage systems. The key Indian industries where cold chain logistics play very important role are fruits and vegetables, milk and milk products (ice cream), Poultry and processed meat, marine products, pharmaceutical (mainly vaccines) and chemicals. An efficient cold chain industry ensures availability of food products as well as prevents spoilage of medicines. Country like India, where infrastructure is one of the major challenges, cold chain plays a critical role. Analysis for this study shows that cold supply chain network does not differ significantly from products to products at least in Indian scenario. Some of the challenges to the growth of sector in India are high energy cost, power deficit, rising real estate cost, lack of logistical support and uneven distribution of capacity. All these challenges bring down the operating margin of a company and makes it not so attractive business sector. But during last couple of years there is a positive environment being created for this sector in India. The growth in organized retail, growing interest in horticultural crops, demand for cold chain logistics from Pharmaceutical industry and various initiatives by government are some of the reasons why there is a renewed interest in this sector especially by private sector players. This study, which is focused on Indian cold chain logistics, analyzes the industry on PEST (Political, Economy, Social and Technology) model and presents top 3 factors on each of these 4 parameters.

scholarly journals Effect of 1-Methyl Cyclopropane and Modified Atmosphere Packaging on the Storage of Okra (Abelmoschus esculentus L.): Theory and Experiments

2020 ◽  
Vol 12 (18) ◽  
pp. 7547 ◽  
Author(s):  
Rabia Kanwal ◽  
Hadeed Ashraf ◽  
Muhammad Sultan ◽  
Irrum Babu ◽  
Zarina Yasmin ◽  
...  
Keyword(s):  
Shelf Life ◽  
Cold Storage ◽  
Combined Treatment ◽  
Chilling Injury ◽  
Modified Atmosphere Packaging ◽  
Storage Conditions ◽  
Modified Atmosphere ◽  
Overall Acceptability ◽  
Reduce Weight Loss ◽  
The Individual

Okra possesses a short shelf-life which limits its marketability, thereby, the present study investigates the individual and combined effect of 1-methylcyclopropene (1-MCP) and modified atmosphere packaging (MAP) on the postharvest storage life of okra. The treated/ untreated okra samples were stored at ambient (i.e., 27 °C) and low (i.e., 7 °C) temperatures for eight and 20 days, respectively. Results revealed that the 1-MCP and/or MAP treatment successfully inhibited fruit softening, reduction in mucilage viscosity, and color degradation (hue angle, ∆E, and BI) in the product resulting in a longer period of shelf-life. However, MAP with or without 1-MCP was more effective to reduce weight loss in okra stored at both ambient and cold storage conditions. Additionally, ascorbic acid and total antioxidants were also retained in 1-MCP with MAP during cold storage. The 1-MCP in combination with MAP effectively suppressed respiration rate and ethylene production for four days and eight days at 27 °C and 7 °C temperature conditions, respectively. According to the results, relatively less chilling injury stress also resulted when 1-MCP combined with MAP. The combined treatment of okra pods with 1-MCP and MAP maintained the visual quality of the product in terms of overall acceptability for four days at 20 °C and 20 days at 7 °C.

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