APPLICATION OF BIOPOLYMER FILMS FOR SUSTAINABILITY OF EDIBLE OILS

Lipid oxidation is a major cause of off-flavors and loss of nutrients in fat-containing foods and oils. The prevention or retardation of those deteriorative reactions of oil during processing and storage is required. Commercially available synthetic packaging materials are causing serious environmental problems due to their non-degradability. To reduce environmental impacts associated with synthetic plastics, biopolymer materials have a great potential to be used instead. Further, biopolymers play an important role in food preservation because of their antioxidant and antimicrobial activities. Packing system comprise of natural active materials can improve shelf life of oil packed, minimize oxidation and improve mechanical, barrier and biological properties of biopolymer films. In this paper, to determine effect of usage biopolymer materials for oil packing, different edible oils and biopolymer materials were observed.

A new parallel high-pressure packing system enables rapid multiplexed production of capillary columns

Reversed-phase high performance liquid chromatography (HPLC) is the most commonly applied peptide separation technique in mass spectrometry (MS)-based proteomics. Particle-packed capillary columns are predominantly used in nano-flow HPLC systems. Despite being the broadly applied standard for many years capillary columns are still expensive and suffer from short lifetimes, particularly in combination with ultra-high-pressure chromatography systems. For this reason, and to achieve maximum performance, many laboratories produce their own in-house packed columns. This typically requires a considerable amount of time and trained personnel. Here, we present a new packing system for capillary columns enabling rapid, multiplexed column production with pressures reaching up to 3000 bar. Requiring only a conventional gas pressure supply and methanol as driving fluid, our system replaces the traditional setup of helium pressured packing bombs. By using 10x multiplexing, we have reduced the production time to just under 2 minutes for several 50 cm columns with 1.9 µm particle size, speeding up the process of column production 40 to 800 times. We compare capillary columns with various inner diameters (ID) and length packed under different pressure conditions with our newly designed, broadly accessible high-pressure packing station.One sentence summaryA newly constructed parallel high-pressure packing system enables the rapid multiplexed production of capillary columns.Abstract Figure

SISTEM PENGEPAKAN DENGAN METODE SORTASI PENGATURAN KECEPATAN KONVEYOR BERDASARKAN UKURAN KEMASAN MENGGUNAKAN OUTSEAL PLC NANO V.4 DAN HAIWELL SCADA

The production process which is designed is a packaging system for the initial storage of products to be filled in the packaging, in this study a conveyor is designed that can sort objects using a proximity sensor and adjust the speed based on the size of the packaging using pulse width modulation (PWM), and can fill the packaging based on the size of the packaging. The product. Automatic control of packing using Outseal PLC Nano.V.4, the system can be controlled and monitored using Haiwell SCADA software on a PC. Outseal PLC nano V.4 test results can operate based on program commands that have been designed. The use of PWM Outseal PLC Nano V.4 on a 12 volt DC motor as a speed controller works in accordance with the duty cycle and PWM scale values given with an efficiency value of 86,56 % at at a PWM value of 900 and 86,23 % at a PWM value of 1023. HMI system made using Haiwell SCADA to control and monitor a successful packing system. Outseal PLC Nano V.4 can operate optimally with the SCADA system. The overall system test results of all sensor components, product packaging and HMI variables are 100 % successful, with an average processing time of packing size M for 11.62 seconds and size L for 14.58 seconds.

Smart Pack: Online Autonomous Object-Packing System Using RGB-D Sensor Data

This paper proposes a novel online object-packing system which can measure the dimensions of every incoming object and calculate its desired position in a given container. Existing object-packing systems have the limitations of requiring the exact information of objects in advance or assuming them as boxes. Thus, this paper is mainly focused on the following two points: (1) Real-time calculation of the dimensions and orientation of an object; (2) Online optimization of the object’s position in a container. The dimensions and orientation of the object are obtained using an RGB-D sensor when the object is picked by a manipulator and moved over a certain position. The optimal position of the object is calculated by recognizing the container’s available space using another RGB-D sensor and minimizing the cost function that is formulated by the available space information and the optimization criteria inspired by the way people place things. The experimental results show that the proposed system successfully places the incoming various shaped objects in their proper positions.