Welcome!

Industrial IoT Authors: Elizabeth White, Stackify Blog, Yeshim Deniz, SmartBear Blog, Liz McMillan

News Feed Item

Dual-Supply, High-Precision Operational Amplifier Designed for Front-End Amplifier Applications

Analog Devices, Inc. (ADI) today introduced a high precision amplifier offering the industry’s best combination of offset voltage, voltage thermal drift, bandwidth, slew rate and voltage noise for front-end amplifier circuits. The ADA4077-2 operational amplifier is specifically suited for applications in process control, chemical and environmental monitoring, motor control and electronic test and instrumentation due to its high DC precision with noise, speed and supply current applicable for the designs.

The ADA4077-2 has a typical bandwidth of 3.9 MHz and 7-nV/√Hz voltage noise at 1 kHz while consuming only 400 µA typical at 25°C with ±15-Vdc nominal power supplies. Available in two grades for offset and thermal drift, the device provides design engineers with the flexibility to meet budget and packaging requirements.

Compared to its closest competition, the ADA4077-2 offers higher speed with lower noise, offset and drift while consuming less power, making the ADA4077-2 an ideal, cost-effective op amp for use in front end sensor interface in applications such as process control input modules, where high accuracy, precision, and linearity are critical to accurate measurement of sensor output.

ADA4077-2 Precision Operational Amplifier Key Features:

  • Low offset voltage: 25µV maximum (B-Grade)
  • Low offset voltage drift: 0.25 µV/°C maximum (B-Grade)
  • Low input bias current: <1.0 nA maximum
  • Input voltage range: V- +1.2 V to V+ -2 V
  • Low noise: 7 nV/√Hz typical
  • Low supply current: 400 µA per amplifier typical
  • Specified for dual voltage supply operation from ±5 V to ±15 V

Availability, Pricing and Complementary Products

Product    

Offset
Voltage
(Max/25°C)

     

Offset
Voltage
Drift

     

Sample
Availability

     

Full
Production

     

Temperature
Range

     

Price Each
in 1,000
Quantities

      Packaging
ADA4077-2

B-Grade

    25 µV      

0.25
µV/°C

      Now       Now       -40°C to +125°C       $3.81       SOIC-8
ADA4077-2

A-Grade

    50 µV      

0.55
µV/°C

      Now       Now       -40°C to +125°C       $1.44       SOIC-8
ADA4077-2

A-Grade

    90 µV       1.2

µV/°C

      Now       Now       -40°C to +125°C       $ 1.44       MSOP-8
                                       

The ADA4077-2 precision amplifier is well suited to operate with ADI’s 12-, 14- and 16-bit D/A converters and A/D converters up to 1 MSPS, including the AD5444, AD7265, and AD7266.

About Analog Devices

Innovation, performance, and excellence are the cultural pillars on which Analog Devices has built one of the longest standing, highest growth companies within the technology sector. Acknowledged industry-wide as the world leader in data-conversion and signal-conditioning technologies, Analog Devices serves over 60,000 customers, representing virtually all types of electronic equipment. Analog Devices is headquartered in Norwood, Massachusetts, with design and manufacturing facilities throughout the world. Analog Devices is included in the S&P 500 Index. http://www.analog.com

To subscribe to ADI's News Feed http://www.analog.com/en/homepage/news.xml

Follow ADI on Twitter at http://www.twitter.com/ADI_News

To subscribe to Analog Dialogue, ADI’s monthly technical journal, visit: http://www.analog.com/library/analogDialogue/

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
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...
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 ...
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...
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...
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.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...