We’ve created this guide on how to select a particle analyser depending on what’s right for your process.

Is the manufacturing industry ready for Industry 5.0 in Ireland in 2023? We’re taking a look at what the current landscape of the manufacturing industry in Ireland looks like and what it’s prepared for in the near future.

The main benefits of implementing an Innopharma Technology automation process control system can be broken down into three sections: technical benefits, financial benefits, and community benefits. Read here to find out.

Process analytical technology is the latest and greatest development for the likes of the pharmaceutical industry. Here's more about what it is and how it helps.

This article focuses on the different ways to approach budgeting as they apply to lab managers, manufacturing managers and department heads. Budgeting is how the manager provides what personnel need to achieve not just the organization's short-term goals, but to start the journey to the long-term strategic goals.

As of now, we’re in the end stages of Industry 4.0, which has shown us how the world can move to a digital space. But technologists, scientists, manufacturers, and more are gearing up for the next big movement: Industry 5.0.

Image analysis is the process of extracting meaningful information from images. The type and amount of information depends on the context and application. For example, the Eyecon2 particle-size analyser contains an automated image-analysis component that is designed to measure attributes of every particle in an image. Figure 1 shows an example image of coated sphere particles.

Over the last decade, manufacturers have been able to reduce waste in and enhance product yield from their manufacturing processes by implementing Six Sigma and Lean techniques. However, the volatile nature of today's manufacturing sector requires a more granular approach to discovering and fixing process problems. Nowadays, manufacturers are turning to using Big Data to help tackle this problem.

In manufacturing, delivering high-quality products without exceeding budget is a huge challenge. Read here to learn how manufacturing costs can be reduced.

Over the last decade, advancements driven by Machine Learning (ML) a form of Artificial Intelligence (AI) in the pharmaceutical industry is the stuff of exciting sci-fi.

Particle size analysis involves measuring and sorting particles by their size and mass to determine the range and distribution of particle sizes included in a sample. Particle size analysis is used across many industries, particularly pharmaceutical manufacturing.

Particle size distribution (PSD) is the means of measuring the number of particles by mass and size to calculate a size and mass range. D-values can be thought of as a mass division diameter. It is the diameter which, when all particles in a sample are arranged in order of ascending mass, divides the sample's mass into specified percentages.

What is Power BI and what is it used for? Power BI is an easy-to-use business intelligence platform by Microsoft which collects and visualizes data.

Particle variability, particularly particle size distribution (PSD), can substantially impact the flowability, blend uniformity, compressibility, dissolution rate and bioavailability of OSD. The result of these factors ultimately impacts the safety, efficacy, and quality of drugs. Controlling and monitoring PSD in your process is among the highest priority in the pharmaceutical industry.

Multiple unit dosage forms (MUDF), also known as multiparticluates provide benefits in formulation flexibility such as immediate-release, delayed-release and sustained-release from a single dosage form, simply by changing the coating properties. This guide demonstrates the benefits of using PAT for multiparticulate development and control.

2021 may be the year we see promising vaccines gain approval and enter production, but do we have the manufacturing capability to rapidly scale production to meet feverish global demand? With SmartX, we can.

Quality standards are continuously pushed higher by regulators, leading to an increased burden on quality. Newer, smarter technologies are the key to combating the rising costs and elevated pressures faced by the quality department

The Industrial Internet of Things (IIoT) is generating immense amounts of data. SmartX takes a human-centric approach that makes sense of this data through real-time visualisation. SmartX allows you to make robust assessments and decisions at a glance, resulting in higher standards of quality.

Our industry is moving towards the factory of the future with Quality 4.0. Massive gains in process insight, efficiency and control can be made through the digitisation of the workplace, leading to greater robustness and efficiency in our processes.

ATEX markings are confusing. We breakdown the ATEX labels to explain what the markings mean and how zones are classified based on temperature, gas, and dust, etc.

Several standardisation bodies have input into the ATEX regulatory standard, making the descriptive markings used by these multiple bodies a point of confusion because the markings are often similar. This blog will demystify the basic principles and markings of ATEX.

Process automation has been around for a long time, but for Pharma, it has been slower to catch-on than in many other industries. With regulators like the FDA funding research, a defined pathway to automation is available for those ready and able to take it.

Data management and data integrity are concepts at the core of modern pharmaceutical businesses. SmartX is designed from the ground-up to support process data from development to scale-up and manufacturing can contribute substantially to product knowledge and process understanding.

Since we now actively look to reduce our impact on the planet, ‘sustainability’ is a word gaining massive backing. We’re looking for it in everything from our food, phones, and face creams. By focusing on what manufacturers can do right now with recent technological advancements, we can start to make a positive, practical change.

From the start, humans have been interested in the visual, appearance-altering aspects of cosmetics. But now, our focus is equally spent on making products safer and easier to manufacture. As technology advanced and new materials were discovered, we didn’t always have the greatest track record in product safety. We explore why

COVID-19 has challenged us to look at new ways of manufacturing. Just-in-time and lean production has exposed the fragility of our supply chains during the global pandemic. We discuss what has changed, and what will change post-COVID-19.

The pharmaceutical industry is evolving to embrace Industry 4.0 technologies in an effort to modify approaches to drug development and manufacturing. SmartX is Innopharma Technology’s Industry 4.0 platform, designed to accelerate process development and to automate process control in the Pharmaceutical and related manufacturing industries.

The desire for newer, safer, more vibrant and effective cosmetic products led to millennia of technological advancements. We investigate the complexity of modern cosmetics manufacturing and the need for controlling particle size distribution for product quality and safety.

SmartX is among a new wave of software suites to come to market that defies definition under traditional industrial automation nomenclature. Here is how this Pharma-focused Industry 4.0 platform is adding more value to process development and manufacturing activities.

The dawn of the 4th industrial revolution is upon us. SmartX, our Industry 4.0 system, allows connections with a vast array of sensor and process equipment, irrespective of brand and build.

Sieving is often very time consuming and limited to off-line measurement. We have created a detailed review of industry-standard methods such as sieve analysis and image analysis, where we contrast the principles of both methods using our in-house analyser.

At Innopharma Technology, we are exploring the complex particle size measurement landscape. In this blog, we reviewed industry-standard methods such as Dynamic Light Scattering (DLS), contrasting the principles of DLS against image analysis.

Innopharma, Colorcon, and Glatt collaborated to study accurate and rapid quantification of dissolution performance. This study demonstrated the possibility of predicting dissolution drug release profiles on multiparticulates in a Wurster coating process in real-time.

Increased awareness means an increase in demand. Are you scaling up to win this demand-supply race? Many particle size analysers will require additional accessories, which is time-consuming and expensive. With Eyecon2, there’s none needed!

Among many methods of particle sizing used by different industries, Laser diffraction is a method where PSD is calculated by analysing the scatter pattern of light from a sample. In this article, we've tried to simplify the physics of it.

Poor control and efficiency of the crystallisation process is a continuous struggle for the API industry, resulting in a billion dollars worth of batch waste. Can a cloud-based real-time process intelligence system help them?

NIR spectroscopy is an extremely flexible technology that opens a world of applications. Widely used in a range of industries spanning from pharmaceutical, chemical, and food, NIR can be used to rapidly and reliably identify pollen count in the air.

Crystallisation is pivotal to the chemical and food industry resulting in 70% of all solid materials produced. Among 80% of world’s production of APIs include at least one step of crystallisation to define the stability and drug release properties of the final dosage forms. Here is why!

Regulators across the world, including ISPE and the FDA, are encouraging Pharma manufacturers to adopt methods for real-time process monitoring and automation. How can you adopt this in your processes?

HORIBA Instruments Incorporated, a part of the HORIBA Group of worldwide companies, announces an exclusive distribution in the Americas with Innopharma technology.

Is Pharma's road to 4.0 a combination of first-principles models and machine learning?

Eyecon₂ is a second-generation particle size analyser, now with fully automated benchtop analysis. The newly developed robotic stage can negate the need for the user to move the sample disk manually.

The Pharmaceutical Technology magazine has published Innopharma's research paper on advanced dynamic process control, using the automated process control platform SmartX in their January 2020 issue.

The originator of the 4th Industrial Revolution, Henrik Von Scheel, addressed the 2019 Innopharma event in Dublin. Director of Innopharma Technology, Sean Costello, explained Henrik's keynote in the lights of the pharmaceutical manufacturing industry.

Innopharma Technology attended the 2019 ISPE Europe Pharma 4.0 Conference at Manchester, UK. It was excellent exposure towards the Pharma 4.0 Revolution. Director Sean Costello penned down his views post-event.

Innopharma is proud to become one of the only two Irish companies to secure EU Horizon 2020 Funding. This funding will be utilised for further development of an advanced crystallisation platform for better manufacturing insight and real-time control.

We are all incredibly proud following our win for Innovation of the Year in the Design & Manufacturing category at The Irish Times Innovation Awards last night.

Innopharma Technology is delighted to reach the finals of the Irish Times Innovation Awards 2018.

Innopharma Technology, today announces the worldwide release of the latest version of Eyepass particle analysis software and the upcoming launch of Eyecon₂ for the Indian market at CPHI/P-MEC, Mumbai 21st to 23rd November.

Eyecon₂ which is launched today at POWTECH will also be showcased during April at INTERPHEX April 26-28 New York, and MAKING PHARMACEUTICALS April 26-27, Birmingham, UK.