Kategorie: Digitalization

Industry-4-0-de 7 Juni 2022

NIR in the Woodworking Industry: Particleboard Real-Time Quality Control

NIR dans l'industrie du bois
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The wood industry, and in particular the manufacture of wood panels, has enormous advantages for the introduction of photonic techniques such as near infrared spectroscopy (NIRS) in the different phases of the production process that are currently controlled mechanically, randomly or simply escape from traditional control and manufacturing techniques.

 

IRIS Technology is the most important European supplier of advanced control systems with spectroscopy and artificial intelligence applied to production processes in different industries, including manufacturers of wood or particle boards. These boards consist of shavings of different sizes that form a multilayer structure and that, finally, may or may not be coated with decorative paper impregnated with melamine resin. Undoubtedly, particleboard has many applications in the furniture, furnishing, construction and interior finishing industries.

 

As a specialised supplier in the control of particleboard manufacturing, IRIS Technology has launched several applications in its Visum® line of analysers using hyperspectral technology, which we will tell you about below:

 

Chipping process

Wood chips make up the raw material in the manufacture of particleboard and can be of different kinds or origins. At the production line, IRIS Technology’s hyperspectral imaging system Visum HSI™   is able to determine in real time the proportion (quantification) of each class or type of chips, as well as to determine the average moisture content of the chips passing through the conveyor belt and to detect surface foreign bodies that are not controlled by X-rays such as rubber, plastics, or others of lower density.

 

As the raw material is mainly cut into chips in a wet state and according to the origin and type of wood there is variability in terms of moisture content, having accurate and objective information in real time is a useful tool to adjust the subsequent processes of defibration and drying.

 

Gluing – Urea formaldehyde content Quantification or Classification

hyperspectral systems

Numerous adhesives, binders or resins such as urea formaldehyde, among the most widespread for their enormous advantages in particleboard production, are applied in the gluing process. The mixture of the wood chips together with the adhesives determines the consistency and quality of the board resulting from pressing.

The Visum HSI™  analyzer allows real-time monitoring, classification, quantification and determination of the spatial distribution of this adhesive compound without the need for destructive or laboratory techniques and thus detects anomalies to optimize the gluing process or formulation. 

 

Pressing and curing of boards

The pressing process is not a uniform process since to a large extent, the curing will depend on the variability that exists in the subsequent stages of the manufacturing process. Here at IRIS Technology, we find that the wood industry uses different scales to determine the quality of the curing of the boards and that it currently extends to a few samples produced per batch and destructive.

 

Also through IRIS hyperspectral systems, it is possible to observe and classify the curing factor of complete boards, unit by unit, obtaining chemical and spectral information of each pixel observed by the system, becoming a crucial instrument in the final quality control of the particle board.

NIR dans l'industrie du bois

Impregnation – Moisture Control In-Line

Finally, impregnation is the process by which the paper layer that acts as a decorative coating for the particleboard is impregnated. Moisture is the main quality factor here, as it will ultimately affect the quality and durability of the impregnation. The hyperspectral systems imaging Visum HSI™ at this point is able to determine the homogeneity and quantify the moisture so as to be able to detect and correct deviations or anomalies that will result in losses, claims and returns.

NIR dans l'industrie du bois

For further information about us and our hyperspectral systems, and applications please contact us at info@iris-eng.com.

Von IRIS Technology Solutions
Industry-4-0-de, Pharma-4-0-de 31 März 2022

NIR technology and Raman spectroscopy: introduction and applications in the pharmaceutical industry

espectroscopia raman tecnologia nir
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In the following article we will address the main applications with NIR technology and Raman spectroscopy, in real time, for the control of manufacturing and quality processes both for pilot plant – in tune with the Quality by Design (QbD) concept – and for industrial scale-up. In addition, this article is intended to be a starting point for industry professionals to raise questions about how to optimize control with process analytical technologies (PAT) for efficient management and implementation of a continuous manufacturing model.

 

Raman and NIR Spectroscopy

 

Both technologies have in common that they are photonic techniques – they take advantage of the properties of photons or light and their interaction with matter – diagnostic and non-destructive, allowing chemical and structural information to be obtained in seconds from almost any organic or inorganic material or compound. Hence, their use in laboratories is widespread in different industries and they are analytical techniques known by quality control professionals.

 

For those who are not laboratory professionals or are just entering the field, it is essential to start with a few brief concepts and examples to understand its applications.

 

Raman spectroscopy is a technique based on the inelastic scattering of light. Inelastic or Raman scattering occurs when the energy changes during the collision between the monochromatic light and the molecule and, therefore, the frequency of the scattered light also changes. These changes provide information about the molecular identity and structure of the samples or material being analyzed.

 

Near infrared spectroscopy (NIR) is a technique based on the interaction between electromagnetic radiation and matter, within the wavelength range of 780-2500 nm. These absorbed radiations can be related to different properties of the sample, providing qualitative and quantitative information. The near-infrared range is characterized by weak overtones and combined bands arising from the strong fundamental vibrations of O-H, C-H, C-O, C=O, C=O, N-H bonds and metal-OH groups in the mid-infrared range.

 

However, both Raman and NIR spectroscopy devices in real time are optical (vision) devices that work with artificial intelligence. The information they collect from the spectrum of the analyzed object is interpreted by a mathematical model – chemometrics – called a „predictive model“ that tells the system what it is looking at. A very simple example: if we want to control the Paracetamol content of a 1mg. form, the mathematical model that analyzes the process must know how to correlate the spectrum corresponding to that value and for that it must know what is 0.8 – 0.9 – 1.1 and so on in the range of interest to be controlled. The predictive model is a mathematical model that essentially correlates a spectrum with a reference value. This reference value comes out of the traditional laboratory analysis.

 

Let’s get down to the important: What use are these systems in my factory?

 

Applications of real-time NIR technology:

 

1) Raw material identification: Identification of raw materials is a routine task in the pharmaceutical industry. These tests are carried out before the materials are processed, in order to avoid errors as much as possible and thus save time and money. This material testing applies not only to purchased materials (e.g. excipients), but also to some internal material transfers, e.g. APIs manufactured in another plant. The latter is very important to take into account when wondering why we have problems in mixing some formulations with certain raw materials.

2) Homogenization: Once identified and weighed, raw materials usually require homogenization of the different components. This is a critical step in the manufacture of solid-state pharmaceutical products, as it has a direct impact on the quality and homogeneity of the final product. The homogenization process is mainly affected by physical properties such as particle size, shape and density. Mixing endpoint and homogenization are not the same, not in terms of regulation according to the European Medicines Agency (EMA). From IRIS Technology we try to raise awareness on this point, which is sometimes confused, to provide in-line control solutions that are homologous to the control protocols established by the EU and Spanish regulations.

3) Granulation and sizing: Sometimes the different ingredients of the formulation do not mix well and segregate during homogenization. Therefore, it is desirable to granulate powdered ingredients by compression, dry granulation or in the presence of a binder under wet conditions. Most spectroscopic uses focus on the determination of water during wet granulation or drying after granulation.

4) Extrusion: NIR spectroscopy has been widely used in hot extrusion to monitor both API content and solid state of extrudates and to identify interactions between ingredients.

5) Tableting: This stage of the process is the closest to the final product. Therefore, it is sometimes easier to control the quality of the product directly in the press, especially if there is a subsequent coating step. At this point, NIR can also play an important role.

6) Coating: The coating process is a crucial step in the manufacture of solid oral preparations. In fact, the coating can act as a physical screen to avoid the effects of oxidation, moisture and lighting conditions in order to improve the stability of the final product or intermediate products in the process. The coating can also play an active role in the protection (gastroresistance) and release (modified release) of the drug in vivo. The homogeneity and thickness of the coating are important in controlling the timing of drug release. Many offline techniques are available to control the coating thickness, such as changes in weight, height or diameter of the coated granule/tablet cores during processing. In-line NIR technology is especially useful for monitoring water-based coatings and is a technique that saves hours of analysis, which we have discussed in particular in this other article.

7) Final product control: An important part of final product quality control includes the analysis of all batches produced to avoid out-of-specification results. This control point, although it is too late to avoid losses, can also be performed with portable (handheld) NIR tools and in just seconds analyze dozens of units (homogeneity, concentrations or other parameters) at the line.

 

Real-time Raman spectroscopy applications

 

As we will see below, this analysis technique has some applications similar to NIR spectroscopy and others very different because it is a technique with a much higher precision than NIR and that IRIS Technology uses in the systems we manufacture when we work with APIs with very low concentrations (typically <0.5) or in aqueous matrices where the amount of water generates a lot of noise in the analysis with NIR equipment.)

 

1) Raman spectroscopy for API identification: As each API has its own Raman characteristics, Raman spectroscopy can quickly and accurately identify the active ingredients, has a very low prediction error and in some cases has a detection limit as low as ppm.

2) Raman spectroscopy for the quantitative and qualitative analysis of formulations: The composition of pharmaceutical preparations is relatively complex; however, Raman spectroscopy remains one of the rapid detection methods if the excipients are simple or just an aqueous solution.

3) Raman spectroscopy for detection of illicit substances: Raman spectroscopy can be used for trace detection due to its sensitivity, speed and accuracy. In general, small amounts of illicit drugs cause drug safety incidents, and Raman spectroscopy can be used for illicit drug detection.

 

Technologie NIR et spectroscopie Raman

Benefits of applying NIR and Raman technology in production lines

 

In general, there are two fundamental advantages of Raman spectroscopy and NIR technology on production lines over traditional laboratory methods:

 

The first advantage would be the monitoring of continuous manufacturing. The pharmaceutical industry works mainly in such a way that the final drug is the result of several independent production steps. These can also take place in different geographical areas, which entails shipping and storing the different intermediate products in containers until the next manufacturing facility. This increases the risk of degradation over time or due to environmental conditions (light, humidity, etc.). One way to address this problem is to move from independent batch work to continuous manufacturing with the help of monitoring technologies such as real-time analytical control equipment.

A continuous process or continuous manufacturing is one in which materials are continuously loaded into the system, while the final product is continuously unloaded. Unlike stand-alone batch manufacturing, this concept involves the total connection of production units, with the use of PAT systems, along with process control systems to monitor and control the integrated manufacturing plant. Continuous process units are usually more efficient, more productive, with reduced volumes and less waste compared to classical process units. Therefore, these types of production units can respond more quickly to drug shortages or sudden changes in demand or needs (such as in a pandemic). In addition, their small size allows them to be transported directly to where the drugs are needed. However, a thorough understanding of the process, including the different connections between its processing units, is necessary.

The second major advantage is to reduce sampling and analysis time, and this is very important in biotech processes in their research, development and production phases. So far, most of the data are obtained with off-line instruments and methods.

 

Specifically for Raman, Raman spectroscopy is a powerful instrumental technique used in various types of pharmaceutical analysis. The superiority of the technique depends on the molecule of interest, the concentration level, the matrix or solution, other interfering species present and the desired sampling method. For many applications, Raman spectroscopy may be the best answer for identification and spectroscopic control needs. The role of Raman spectroscopy as a quantitative analytical tool is increasing due to the simplicity of sampling, ease of use and applicability to aqueous systems.

 

As manufacturers and system integrators of systems that operate with Raman and NIR spectroscopy, IRIS Technology collaborates with numerous pharmaceutical, foodstuffs, chemicals, among others, companies in the development of analytical solutions and the implementation of control systems, in turnkey projects ranging from technology, adaptations that may be necessary, data modeling, installation, validation and even homologation.

Here you can find the complete range of Visum® analytical equipment.

We hope this article has been of interest to you and as always, if you have any questions or even suggestions, you can write to us at news@iris-eng.com.

Von IRIS Technology Solutions
Digitalization-de, Industry-4-0-de 4 März 2022

Mitigate variations and optimise critical product parameters?

hiperespectral NIR spectroscopy donuts fat content nir
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In this article we will address two recurring issues in food production: mitigating variations in the physical-chemical composition of the product by controlling critical nutritional values and how these parameters can be optimised with online tools. Finally, we will address a case of application of hyperspectral NIR technology within the industrial bakery sector and the control of a critical input in this industry, fat.

nir hiperespectral

The Hyperspectral technology discussed in this article is an extension of traditional artificial vision in two ways: Firstly, instead of the usual three colour channels in artificial vision, hyperspectral imaging uses up to hundreds of channels, making it possible to see very subtle differences. Secondly, hyperspectral cameras often have an extended spectral range beyond the visible, i.e. into the infrared, where the chemical composition is much more evident than in the visible range. Therefore, hyperspectral imaging can be seen as a paradigm shift in vision systems and as a source of abundant, high-quality data to feed vision systems based on artificial intelligence algorithms. In practice, having a hyperspectral camera is equivalent to having a spectrophotometer in every pixel.

Until now, however, the use of this technology has been limited to very specific environments: military applications and research laboratories. IRIS is a pioneer in extending the use of this technology beyond such environments, in order to exploit its enormous potential in industrial environments. In this sense, it is not enough to have a suitable camera, but each specific application requires integration work and the development of the appropriate machine learning solution. IRIS specialises in both areas.

While the technology has numerous applications in different industries and processes, we will talk about the industrial bakery sector, where it is essential to control the fat content, not only because consumption trends demand it, but also because large variations in the fat value result in cost overruns, explained by the suboptimal use of the raw material – oil – as well as unexpected changes in the palatability of the product when the input is well above or below the optimal value.

What happens is that, with current laboratory techniques to control the fat value, such as the Soxhlet method, which involves several hours, it is never possible to notice these variations and rectify the process in real time, as it is an off-line method, which requires specific sampling, preparation, inputs and personnel and especially time for its results, This makes it incompatible with the idea of standardising the product, the use of raw materials and particularly with any attempt to optimise the critical quality parameters in the production process, which can only be done by having continuous measurement – and information – and a minimum margin of error.

The latter is interesting to clarify and happens with different parameters in different foods that are manufactured, such as moisture, fat, sugars, seasonings or others, where there is an „optimal“ value in the quality vs. production costs equation, but difficult to achieve due to the lack of real time measurement and information of the chemical composition of the product. For example, if as a manufacturer, I know the moisture value of my production in real time and the error of that measurement is very low, there is margin and possibility to adjust the formulation of the product to that ideal value; otherwise, with an off-line method, it would be a high risk decision and difficult to control.

An application case:

A major customer in the industrial bakery sector needed to mitigate variations in fat content and optimise its use in the process. Changes in the product were observed that could hardly be explained by formulation changes. Therefore, a study was started to see which processes were producing these changes. The study is slow and complicated because he lacks a tool that allows him to quickly measure the fat content in order to be able to relate it to changes in his processes.

 

The installed industrial Visum HSI™ system operates in the infrared range. It allows inspection in terms of fat content on a unit-by-unit product basis. IRIS Technology Solutions‘ integrated software and chemometrics tools enable the user to self-calibrate the device to changes in product composition and it is seamlessly interfaced with plant information systems.

As a result, the client was able to determine the point in the process where fat variations were generated by measuring and adjusting in real time the recipe and save 1.5% of oil in the process.

Like all IRIS Technology equipment, it is multi-parametric, so it can simultaneously provide, based on the same reading, information on multiple parameters, not only quantitative (e.g. moisture or sugar content or unit size), but also qualitative (e.g. degree of cooking or morphological variations).

 

If you want to know more about NIR spectroscopy hiperespectral and its applications to other processes, products and industries, please contact us at info@iris-eng.com.

Von IRIS Technology Solutions
Big-data-de, Digitalization-de, Pharma-4-0-de 2 Februar 2022

Artificial Intelligence as a Predictive Maintenance tool

maintenance prédictive
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Artificial Intelligence as a Predictive Maintenance tool

Together with the company mAbxience, specialized in the development, manufacture and marketing of biopharmaceuticals, we developed data models based on supervised machine learning techniques that after 4 years of work resulted in an AI-based Predictive Maintenance System in the plant facilities of the water for injections (WFI) process of mAbxience in Spain, published in the January-February Edition of the Pharmaceutical-Engineering Magazine.

The work demonstrates the effectiveness of machine learning models, built from the information generated by 31 sensors, 14 alarms and water quality indicators, to identify and predict anomalies within a warning time window (14 days) that is feasible for the preventive and predictive maintenance teams to make the corresponding adjustments in the areas and components of the plant identified by the algorithm.

Initial results show that the models are robust and able to identify the chosen anomalous events. In addition, the rule induction approach to machine learning (a technique that creates „if-then-else“ rules from a set of input variables and one output variable) is „white box“, which means that the models are easily readable by humans and can be deployed in any programming language.

IRIS thanks mAbxience and the WFI plant technicians for their collaboration.

Read the full article here.

Von IRIS Technology Solutions
Industry-4-0-de, Innovation-de 24 Januar 2022

IRIS Technology develops the first industrial system for the chemical control and inspection of melamine boards

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IRIS Technology, a Spanish engineering company that manufactures photonic solutions for online quality control, has developed the first industrial system for real-time quality control of melamine or particle boards with NIR and hyperspectral technology.

 

The wood industry, and consequently the furniture and furnishing industry, is a sector that continues to grow by leaps and bounds worldwide, with a year-on-year increase of 6.5%, still boosted by the increase in consumption during the pandemic. So, not surprisingly, technology is accompanying the industry in this growth by combining production and operations techniques with smart technologies such as photonics, analytics and artificial intelligence brought about by Industry 4.0.

 

The new chemical vision industrial system, manufactured and patented by IRIS Technology, uses NIRS (Near Infrared Spectroscopy) technology and machine learning together with chemometric models to analyse the composition of each melamine board unit produced, non-invasively, It can quantitatively analyse the distribution of the moisture parameter on the impregnation line and classify the curing level of each board in order to detect defects early, correct factory processes and reject or remanufacture boards.

 

Until now, the control of this type of parameters in the melamine production process was only carried out through destructive laboratory methods and visual inspection, implying a high cost for the manufacturer and the difficult -if not impossible- inspection of all the units produced. This new technological application stands as a solution for the inspection of this type of boards, thus reducing defective units, losses, claims and consequently improving the brand image of the manufacturer.

 

For more information please contact IRIS Technology www.iris-eng.com

Contrôle des produits chimiques
Von IRIS Technology Solutions
Digitalization-de, Industry-4-0-de 20 Januar 2022

Real-time Brix control with NIR technology: a competitive factor for production and commercialisation.

Contrôle du degré Brix
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In the fruit and vegetable industry, as well as for fruit products (juices, purees, concentrates, among others), a critical value either to determine quality standards, commercialisation, ripeness or to adjust the recipe of certain food preparations, are the Brix degrees. In this article we will talk about this, how this control is currently carried out in certain industries and how Brix degrees can be controlled in real time with NIR technology and its benefits.

 

The Brix degree (ºBx) is a parameter strongly correlated with the content of soluble solids and, in particular, sugars, therefore, and because it is relatively easy to measure, it is often used as a process and quality control criterion. In many cases, the acceptance criterion for semi-products and products is simply based on a certain threshold value expressed in Brix.  In the case of fruits, the quotient of Brix to total acidity is the usual, and even legal, criterion for determining the degree of ripeness.

 

Currently, in the vast majority of the industry, this ºBx control is carried out by traditional laboratory methods, where „representative“ samples are taken from a batch and subjected to a conventional destructive technique such as refractometry or HPLC analysis. This traditional method, in addition to having a cost (of specialised personnel, time and equipment), is not sufficient to cope with the high variability in the quality attributes present in fruit and vegetable batches, nor with the need of the fruit and vegetable processing industry to monitor this parameter in real time and be able to adjust the other components of the „recipe“ of its product, according to the parameter of interest. In other words, monitoring this parameter online for the processing industry means optimising all process inputs and standardising the quality of the final product. For fruit and vegetable growers, analysing ºBx with a portable Visum Palm™ NIR analyser, for example, is useful to save laboratory time, determine their marketability and even improve the terms of trade with their customers and guarantee more quality to the domestic and export market. At the same time, a NIR analyser, in any of its versions, is capable of performing, depending on its concentration, added measurements such as total acidity, pH and the concentration of other analytes of nutritional or organoleptic interest.

 

An application case

A major producer of fruit-based food preparations, occasionally enriched with dairy products, in order to be able to standardise its products to meet the requirements of its customers – supermarket chains – requested an in-line solution, flexible enough to be compatible with its wide range of products.

 

This solution, based on a Visum NIR In-Line™ analyser for liquids, included not only the Visum In-Line hardware and its adaptation to the characteristics of its line, but also at software level the development of a library of predictive models capable of continuously determining the Brix and pH of different „families“ of products with respective maximum inaccuracies of 0. 5 for ºBx and 0.1 pH, which constituted a global and adequate solution for making technological decisions in real time to guarantee the standardisation of the product and its quality within the limits required by the client.

Von IRIS Technology Solutions
Industry-4-0-de, Unkategorisiert 3 Januar 2022

Real-time moisture control in breads, doughs and toast?

en temps réel
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In the industrial bakery and pastry sector, the moisture of bread and pasta doughs is a parameter that requires exhaustive control, since changes in product moisture affect phenomena such as honeycombing, type of crust, or consistency, as well as alterations in conservation and the effect of time during the supply chain, from the factory to the end consumer. In this article we will talk about real-time moisture monitoring, the scope of infrared spectroscopy (NIR) at different points of the process and we will share an application case of automatic control in the manufacture of toast at the exit of the oven.

The current reference laboratory method for determining the % moisture content is the gravimetric method, which consists of drying a sample and measuring the weight loss (water difference). This method can take from several minutes to hours if stoves are used. It is therefore a resource-intensive method (personnel, equipment, materials and time) that directly affects efforts and the possibility of being able to optimize the nutritional parameter – moisture – of the product.

In the bread and bakery industry, moisture references are obtained at different stages of the manufacturing process in order to ensure compliance with standardized quality criteria, which can be synthetically grouped as follows:

Quality control of raw materials and ingredients. They can be used to verify that raw material arrivals are in compliance and to verify the quality of whole and milled grains, which affects the quality of the final product.

Quality control of bakery mixes and doughs. They can be used during production to measure flour yield, water absorption during the milling process, dough fermentation time and to determine the composition of the baking mix (% moisture, protein and ash).

Quality control of finished products. They can be used to control the quality of the finished product at the end of production or on the packaging line, ensuring compliance with legal compositional requirements, or provide data for nutritional labeling.

NIR (near infrared) technology is able to optimize all measurements in real time, either by monitoring with a portable analyzer, as in the case of the Visum Palm™, or by ensuring continuous control on the conveyor belt, cooler, or in the mixing tank with a Visum NIR In-Line™ analyzer, working in this case connected to the line’s management systems and PLC to control the manufacturing process or rectify in real time any malfunctions.

An application case, control of the baking process.

A mini-toast manufacturer needed a method to determine the humidity of the toast at the oven exit in real time, to mitigate the effects of the analysis time variable that made it impossible to rectify the baking temperature and therefore lost production batches that were not in accordance with the manufacturer’s specifications.

The problem of humidity in toast is that when humidity values are below 3.5%, the toast is fragile and tends to break during transport or handling, and when humidity is above 4.5%, the toast loses its crispiness. Continuous NIR technology makes it possible to optimize the parameter of interest.

For practical purposes, a predictive moisture model was made from samples and reference values from the customer’s laboratory, and since infrared spectroscopy is particularly sensitive to the presence of water, the same model could at the same time predict moisture in different varieties of the same customer’s product. The resulting model has a correlation coefficient close to 1 (0.99), indicating its accuracy. Connected to the PLC, the system identifies the product and instantly configures the analyzer to monitor the parameter of interest.

Finally, a Visum NIR In-Line™ continuous NIR analyzer was installed on the conveyor belt at the oven exit to determine the moisture value per area and, connected to the oven PLC, to rectify the burner temperature and provide real-time process/product information.

Instead of working with Vis-NIR, with the Visum HSI™ NIR (900-1700 nm) it would have been possible to analyze product unit by product unit, adding to the moisture analysis parameters such as color, homogeneity of components, spatial distribution of components, detection of foreign bodies (metals, plastics, cartons, etc.) or other critical process parameters. Needless to say that a single analyzer can perform countless predictions simultaneously, moisture, fats, proteins, sugars, etc. But this was not the case, we will tell you about it in another article.

I hope you have found this article on moisture monitoring with on-line NIR spectroscopy useful and we invite you to send us your comments and suggestions to our e-mail address news@iris-eng.com.

—
Joel Valdés Bravo
Technical Disclosure
IRIS Technology | Visum

 

Von IRIS Technology Solutions
Industry-4-0-de, Pharma-4-0-de 4 Oktober 2021

IRIS presents new PAT applications for the pharmaceutical industry

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IRIS Technology presents in Farmespaña Industrial applications of its PAT analyzers for the pharmaceutical and dermo-cosmetic industry.

Real-time content uniformity.

Real-time bioavailability.

Fluorescence-free Raman.

Read the complete note here.

Von IRIS Technology Solutions
Digitalization-de, Industry-4-0-de 9 September 2021

IRIS presents at Expoquimia 2021 its NIR and Raman applications for on-line process control.

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Next Wednesday September 15 at 10 am, in the framework of the panel organized by ACCIÓ at Expoquimia called „Industry 4.0 Marketplace in the chemical, plastics and pharmaceutical sectors“, Joan Puig, Deputy Director of IRIS, will present some relevant industrial projects where NIR and Raman spectroscopy has been applied in integrated solutions to production lines in real time.

Both spectroscopic techniques (NIR and Raman) that IRIS works with and incorporated in its Visum® line of devices promote the digitization of quality and process control, without the need to resort to traditional laboratory and sampling techniques, and have a direct impact on time-to-market and quality standardization throughout the entire production process.

Von IRIS Technology Solutions
Digitalization-de, Industry-4-0-de 22 Juni 2021

VISUM® at the first edition of Food 4 Future FoodTech Bilbao 2021

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Last week, the VISUM® team participated in Food 4 Future in Bilbao, where the entire food and beverage industry was invited. In parallel, networking activities and the Congress took place, where Alejandro Rosales, Science and Technology Manager at IRIS presented „Spectroscopy and machine learning: 4.0 tools for process control and food safety“.

It is important to highlight the growing interest of the industry in the digitization of processes, including those aimed at optimizing quality and making costs more efficient.

 

Von IRIS Technology Solutions