Spend Less Time Operating Instruments and More Time Analyzing Results

Agilent 8700 LDIR chemical imaging system
with Clarity software

Press play and walk away

Microplastics studies generate data from thousands of particles, and managing such large amounts of data can be both time and labor intensive. But that’s all about to change.

The Agilent 8700 Laser Direct Infrared (LDIR) system is the most automated microplastics analysis option available. In fact, it takes less than 15 minutes to insert the sample, set up the method, and start your analysis. You can then walk away and return when scanning is complete⁠—with no intermediary steps.

What’s more, the system’s double filter holder lets you automatically test two samples in sequence, saving even more time. No other system is as hands off, leading to greater lab productivity. For example, if you run four samples per day, it would take about one hour of setup time versus the entire day with other imaging systems.

  1. Load the instrument

    Two sample positions boost throughput without increasing your hands-on time.

  2. Select your method

    You can assign a different scan method to each sample⁠—even in the same run.

  3. Press play and walk away

    Scanning, data processing, and data analysis take place automatically.

Calculate your savings

What could automating microplastics data management mean for your lab’s business? To see how your savings can add up, enter your values into the blue boxes.

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Samples per day
Analyst cost per hour
Results Agilent 8700 LDIR Other microplastics
analysis systems
Analyst time per year (hours)
Analyst cost per year

Figures in calculator based on a presumption of 260 workdays per year.

Estimated total savings:
$72 per sample,
$49,920 per year

Bottom-line benefits of LDIR

Analyst time per sample

15 minutes versus 2 hours

Time in front of the instrument

Fully automated for unattended operation

Analyst cost reduction

60%

Updated software increases analytical capabilities while reducing hands-on time

Agilent Clarity software, together with the Agilent 8700 LDIR chemical imaging system, delivers a fast, automated workflow for detecting and identifying microplastics. So your lab can maintain its reputation for timely, accurate microplastics data. This software update lets you:

  • Locate, image, measure, and identify microplastics without exporting data to external software.
  • Examine results in detail where a deeper understanding is required.
  • Archive data and images with ease and move them to a storage location of your choice.
Agilent Clarity software on a computer monitor

See microplastics analysis in motion

This instructional video walks you through the basics of sample loading, method setup, scanning, and reporting for critical microplastics studies.

Watch video

Watch our webinars

Understanding microplastics regulations

Explore the development of standard methodologies, as well as the key challenges faced in their implementation.

Watch webinar
Child looking a glass of water with magnifying glass

Microplastics analysis just got easier

Find out how to increase ease, speed, and accuracy by conducting microplastics analysis directly on the filter as the last step in sample preparation.

Watch webinar
Lab technician with microplastics sample

Sample preparation by LDIR

Review proper procedures for LDIR sample preparation and discover how these techniques can help you achieve accurate, reproducible analysis of microplastics.

Watch webinar
Microplastics filtration process

Challenges in microplastics analysis

Learn how to overcome obstacles in microplastics analysis, from routine laboratory testing to pushing the boundaries on particle sizes.

Watch webinar
Agilent 8700 LDIR Chemical Imaging System

Compliance monitoring in California

Hear about the standardization of aquatic microplastics measurement in California⁠—the first state to require monitoring for microplastics.

Watch webinar
Agilent 8700 LDIR Chemical Imaging System

More microplastics resources

Take a deeper dive into performing large-scale microplastics studies and monitoring activities that require fast data provision.

Achieving accurate microplastics characterization

Invisible plastic pollution is receiving increased attention from government bodies and academic institutions. This eBook highlights current challenges in microplastics analysis and takes an in-depth look at tools and technologies to help you better characterize these compounds.

Download eBook
Magnifying glass showing microplastics on human fingers

Collecting and preparing microplastics for LDIR analysis

Sample preparation is the key to collecting high-quality data about microplastics in environmental waters. This technical overview explains how the 8700 LDIR “on-filter” workflow simplifies the final filtration stage of sample preparation⁠—enhancing efficiency, lowering costs, and improving data accuracy.

Read now
Water in a test tube

Customer success story: Institute of Coastal Research, Germany

Listen to analytical chemist Lars Hildebrandt share his insights into assessing the distribution and relevance of microplastic particles in rivers and sea systems. You’ll also learn how his team achieved more accurate results in less time.

Watch video
Lars Hildebrandt

Analysis of microplastics on aluminum-coated filters

This technical overview demonstrates the suitability of aluminum-coated polyester filters for characterizing microplastics using the 8700 LDIR. Aluminum filters enable the efficient sample preparation (filtration) of environmental and water samples, and offer significant cost savings compared to gold-coated filters.

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Aluminum-coated filters

Characterizing microplastics in infant formula

Extracting and isolating microplastics from infant formula can be challenging due to the diverse formulations, ingredients, and components present. This application note demonstrates the importance of quality control in microplastics analysis. In this video, we used an automated workflow to characterize microplastics in two formula brands.

Read more Watch video
Infant formula

Detecting microplastics in bottled water

This video explains how the Agilent 8700 LDIR can accurately identify and quantify microplastics in bottled drinking water. In this application note, we also explore the ability of the Agilent Cary 630 FTIR spectrometer to investigate the source of microplastic contamination.

Watch video Read more
Lab technician holding plastic bottle of water

Accurate microplastics analysis in minutes, not hours

The automated Agilent 8700 LDIR lets you obtain high-quality images and spectral data faster than ever before. So you can perform confident large-scale microplastics studies and monitoring activities. This infographic explains how the 8700 LDIR finds the needle in the haystack, and takes a giant leap forward in speed and throughput.

Download now
Infographic

LDIR: A fast and accurate solution for microplastic analysis

In this video, we’ll give you an overview of the microplastics analysis workflow for the Agilent 8700 LDIR. The system’s Agilent Clarity software provides unprecedented workflow automation with flexible sample preparation options.

Watch now
Agilent 8700 LDIR

Characterizing microplastics in environmental samples by LDIR and user-generated libraries

This application note identifies the chemical composition of microplastics derived from large pieces of plastic collected from the beaches of Sorrento, Victoria, Australia. Chemical identification was achieved using a fully automated particle analysis method for the 8700 LDIR. The study also demonstrates how easy it is to create a library using Agilent Clarity LDIR instrument control software.

Read now
Microplastics sample

Ready to speed up and simplify your microplastics studies?

Fill out this form to gain exclusive access to our microplastics webinars and resources, which give you the inside scoop on microplastics analysis made easy.

And then, talk to one of our experts and discover how to spend less time and effort on microplastics sample preparation and analysis. They’ll be happy to answer any questions you might have.

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