Welcome!

News Feed Item

Ancient Tradition Meets Cutting-Edge Tech

New Beer Refractometer Measures with Unprecedented Precision

CLEVELAND, April 15, 2014 /PRNewswire-iReach/ -- An enduring tradition, man's relationship with beer dates back nearly 7,000 years. And while few human traditions can rival the ancient art of brewing, MISCO has taken a big step forward today in advancing brewing science with the first ever digital refractometer designed specifically for the brewing industry.

(Photo: http://photos.prnewswire.com/prnh/20140414/73170)

The patent pending MISCO Digital Beer Refractometer is not just another repurposed Brix refractometer. MISCO Pro-Brewing Scales™ are scientifically derived from a beer model with a complex sugar profile, influenced strongly by maltose, and specific to wort. As there is very little sucrose in wort, measurements and temperature compensation are naturally much more accurate than sucrose-based Brix refractometers. Furthermore, because the refractometer is made specifically for beer, the user no longer needs to use a refractometer correction factor when plugging dissolved solids readings into beer calculators.

To accommodate brewers from different regions of the world who desire to measure beer with their own preferred units of measure, MISCO has created a variety of beer scales from which to choose. The user may select up to five scales which include Total Dissolved Solids (sugars), Brix, °Plato, Specific Gravity, Brewer's Points, Balling, and even Ethanol Content. A Scale for Propylene Glycol freezepoint can also be added to the instrument for measuring wort cooler antifreeze or chiller systems. Refractometer output can even be localized to display in English, German, Spanish, French, and Russian.

"The MISCO Digital Beer Refractometer is the first refractometer designed specifically for the professional brewer," said Michael Caminer, MISCO's Director of Marketing. "It is a significant contribution to brewing science that will provide fast, accurate measurements for large-scale brewing operations, as well as craft-brewers, and even the high-end home brewer."

Fast, convenient, and easy to use, the MISCO Digital Beer Refractometer requires only a fraction of the sample size required by traditional hydrometers. Simply place a drop or two of wort in the stainless steel well and press a button. The beer refractometer delivers a nearly instantaneous digital readout on a large backlit LCD display. The digital readout removes the subjectivity associated with interpreting where a boundary line crosses tiny little scale divisions.

Precision is assured thanks to MISCO's proven OPTICAL-ENGINE®, which is at the heart of every Digital Beer Refractometer. Optical-Engine technology featuring high-precision sapphire optics, the next hardest substance to diamond, improves the speed and accuracy of temperature measurements. Competing digital refractometers use only glass prisms. A 1,024 element high-definition detector array provides more than eight times the resolution of competing 128 element low-definition detector arrays. The MISCO array has more than 3,256 pixels per inch (ppi) resolution compared with 400 ppi resolution in competing digital refractometers. The net result is an instrument that is more rugged and more precise.

Nonlinear temperature compensation is specific to beer, not sucrose, and automatically ensures that fluids read between 10 and 40 °C (50 to 104 °F) are measured accurately. Calibration is automatic and does not require the use of special calibration solutions or tools. The beer refractometer automatically calibrates itself to water and is ready to use in seconds. No more screws to turn and nothing to adjust.

A world leader in the refractometer field, MISCO is headquartered in Cleveland, OH, home to the company for 65 years. MISCO designs, manufactures, and sells a variety of refractometers, including: digital bench-top laboratory refractometers, inline process control refractometers, digital handheld refractometers, and traditional handheld instruments. For more information, please call (216) 831-1000, or access MISCO's web site at www.misco.com/beer

Media Contact: Michael Caminer, MISCO Refractometer, 216-831-1000-112, [email protected]

News distributed by PR Newswire iReach: https://ireach.prnewswire.com

SOURCE MISCO Refractometer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.