MAX4592ESE+T - Analog Devices Inc./Maxim Integrated

Manufacturer Part Number

MAX4592ESE+T

Manufacturer

Analog Devices

Introduction

The MAX4592ESE+T is a high-performance, low-power, quad SPST analog switch in a 16-pin SOIC package. It features low on-resistance, low charge injection, and excellent channel-to-channel matching, making it well-suited for a variety of applications, including data acquisition, instrumentation, and portable electronics.

Product Features and Performance

4 independent SPST analog switches

Low on-resistance of 20 ohms (max)

Low channel-to-channel matching of 500 milliohms

Fast switching times of 80ns (max) on and 45ns (max) off

Low charge injection of 2pC

Wide supply voltage range of 3V to 16V

Low leakage current of 100pA (max)

Excellent crosstalk performance of -85dB at 10MHz

Operating temperature range of -40°C to +85°C

Product Advantages

Compact 16-pin SOIC package

Excellent signal integrity and performance

Low power consumption

Wide supply voltage range

Reliability and robustness

Key Reasons to Choose This Product

Superior signal integrity and performance

Versatile and flexible for a wide range of applications

Low power consumption, making it suitable for portable and battery-powered devices

Robust and reliable design for long-term use

Quality and Safety Features

Fully specified over the industrial temperature range of -40°C to +85°C

Compliant with relevant safety and environmental standards

Compatibility

The MAX4592ESE+T is a direct replacement for the MAX4592 analog switch and is compatible with various data acquisition, instrumentation, and portable electronics applications.

Application Areas

Data acquisition systems

Instrumentation and test equipment

Portable electronics

Industrial control systems

Medical devices

Product Lifecycle

The MAX4592ESE+T is an active product and is currently available. There are no immediate plans for discontinuation. Customers can contact our website's sales team for information on any potential equivalent or alternative models.