ADC141S628QIMMX/NOPB

Product Overview

Category: Analog-to-Digital Converter (ADC)

Use: The ADC141S628QIMMX/NOPB is a high-performance, low-power, 14-bit analog-to-digital converter. It is designed for precision measurement applications where accurate conversion of analog signals into digital data is required.

Characteristics: - High resolution: 14-bit conversion accuracy - Low power consumption: optimized for battery-powered devices - Fast conversion rate: up to 1 MSPS (Mega Samples Per Second) - Wide input voltage range: ±10V - Integrated reference voltage: eliminates the need for external references - Small package size: QFN-16 - RoHS compliant: environmentally friendly

Package and Quantity: The ADC141S628QIMMX/NOPB is available in a QFN-16 package. Each package contains one unit of the ADC.

Specifications

• Resolution: 14 bits
• Conversion Rate: Up to 1 MSPS
• Input Voltage Range: ±10V
• Power Supply Voltage: 2.7V to 5.5V
• Operating Temperature Range: -40°C to +85°C
• Package Type: QFN-16

Pin Configuration

The ADC141S628QIMMX/NOPB has the following pin configuration:

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| | | 1 2 3 4 5 6 7 8 9 10 | |_______________________________________| | | | 11 12 13 14 15 16 | |_______________________________________| ```

Pin Description: 1. VREF- 2. VREF+ 3. AGND 4. VIN- 5. VIN+ 6. DGND 7. CLK 8. CS 9. SDATA 10. SCLK 11. DOUT 12. DIN 13. PD 14. REFSEL 15. RESET 16. VCC

Functional Features

• High-resolution conversion: The ADC141S628QIMMX/NOPB provides 14-bit resolution, ensuring accurate conversion of analog signals into digital data.
• Low power consumption: Designed for battery-powered devices, the ADC minimizes power consumption without compromising performance.
• Fast conversion rate: With a maximum conversion rate of 1 MSPS, the ADC enables real-time data acquisition.
• Wide input voltage range: The ADC can handle input voltages ranging from -10V to +10V, making it suitable for various applications.
• Integrated reference voltage: The built-in reference voltage eliminates the need for external references, simplifying the design and reducing component count.
• Small package size: The QFN-16 package offers a compact form factor, saving space in the overall system design.
• RoHS compliant: The ADC is manufactured using environmentally friendly materials and processes, meeting RoHS standards.

Advantages and Disadvantages

Advantages: - High resolution ensures accurate measurement. - Low power consumption extends battery life. - Fast conversion rate allows real-time data acquisition. - Wide input voltage range accommodates diverse signal levels. - Integrated reference voltage simplifies circuit design.

Disadvantages: - Limited number of channels (single-ended inputs). - Requires an external clock source for operation.

Working Principles

The ADC141S628QIMMX/NOPB operates based on the successive approximation register (SAR) architecture. It converts analog input signals into digital data by comparing the input voltage with a reference voltage and iteratively adjusting the conversion process until the desired accuracy is achieved. The conversion process is controlled by an internal clock and control signals.

Application Field Plans

The ADC141S628QIMMX/NOPB is suitable for a wide range of applications, including: 1. Industrial automation: Precise measurement of sensor outputs in industrial control systems. 2. Medical devices: Accurate data acquisition in medical instruments and monitoring equipment. 3. Test and measurement: High-resolution signal digitization in laboratory equipment and data acquisition systems. 4. Energy management: Monitoring and control of power consumption in smart grid systems. 5. Automotive electronics: Analog signal conversion in automotive sensors and control units.

Alternative Models

• ADC142S626QIMMX/NOPB: 14-bit ADC with differential inputs and a smaller package size (QFN-12).
• ADC143S624QIMMX/NOPB: 14-bit ADC with higher conversion rate (up to 2 MSPS) and a larger package size (QFN-20).

Note: Please refer to the manufacturer's datasheet for detailed specifications and additional alternative models.

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