In addition, we also offer pre-calibration models. Pre-calibrations are robust, ready-to-use operating procedures for certain applications based on real product spectra. They allow you to immediately start your NIR analysis without any time-consuming sample sourcing, sample preparation, or prediction model development needed. Pre-calibrations are available for quality control of isocyanates, polymers, polyols, fuels, wood pulps, palm oil, food and feed samples, cannabis testing, and more.
無論您有什麼需求 – 我們都有適合您的近紅外光譜儀
我們的近紅外光譜儀產品系列包括用於品質保證和品質控制的實驗室 NIR 分析儀以及用於線上監測各行業化學參數的製程 NIR 分析儀。使用篩選來選擇您的搜尋並找到最適合您的近紅外光譜儀。您在尋找拉曼光譜儀嗎？前往我們的拉曼光譜儀
為什麼選擇 Metrohm NIR 近紅外光譜儀？– 值得信賴的品質
自 1943 年成立以來，Metrohm 已發展成為一家值得信賴的供應商，提供一致的高品質、堅固耐用的儀器，用於可靠、精確的化學分析。
- 從 NIR 近紅外光譜儀到預先校準和近紅外光譜軟體，您可以從單一家供應商獲得近紅外光譜測量所需的一切
- 值得信賴彙編在 130 多份應用說明中的專家知識
- 憑藉我們遍佈全球超過 80 個國家的業務網絡，我們的客服工程師和應用專家將為您提供專業的在地支援
了解更多關於近紅外光譜的知識，請閱讀我們專家提供的應用說明和一同參與網路研討會：
NIR 近紅外光譜分析儀 – 常見問答
A near-infrared (NIR) spectrometer measures the interaction of light and matter (i.e., the sample) in the near-infrared region of the electromagnetic spectrum, i.e., in the wavelength range of 780 to 2500 nm.
The molecules in a sample absorb and reflect light differently, based on their chemical and physical structure. By measuring the intensity of light at different wavelengths, a NIR spectroscopy device can generate a spectral profile or fingerprint of a sample.
This profile can then be compared to reference spectra or analyzed using chemometric techniques to identify and quantify the components present in the sample. For instance, the spectral data can be used to quantify key quality parameters such as hydroxyl value, moisture, melt flow index, density, TAN, TBN, viscosity, protein and fat content, and fatty acid distribution. The data can also be used to identify or verify the identity of a sample.
Blog: Benefits of NIR spectroscopy
NIR spectroscopy is a secondary technique. Before starting any routine analysis, a prediction model is required. Prediction models are created using values from primary techniques or reference methods, such as titration.
- Use a primary technique to gather information about the sample, e.g., concentration or other parameters.
- With the NIR instrument, collect NIR spectra from samples with known concentrations or known parameter values. This set of spectra, known as a calibration set, is the basis to create prediction models. Part of the set of spectra is used as validation set to validate the prediction model. Prediction models can be created and validated using spectroscopy software, such as OMNIS Software.
- Once the prediction model has been created and validated, routine analysis can be started at the push of a button.
Metrohm can assist you with creating and validating prediciton models (step 1 and 2), making NIR spectroscopy even simpler and faster for you. Contact us to learn more.
Near-infrared spectroscopy is an analytical technique with numerous applications in various fields. Metrohm NIR analyzers can be used in the following industries:
- chemical
- polyol
- polymer
- food
- animal feed
- pharma
- personal care
- pulp and paper
- paint
- petrochemical
- petrofuel
The NIR instruments can be implemented in the laboratory as well as in the factory for at-line measurements. They are used for quality control and quality assurance, raw material identification, process and reaction monitoring, and screening, providing rapid and non-destructive analysis of samples.
NIR spectrometers analyze multiple parameters within one minute, without needing sample preparation or consumables. Modern NIR spectrometers, such as the OMNIS NIR Analyzer, include additional features that increase productivity:
- Flexibility: measure solid and liquid samples in highest accuracy
- Ease-of-use: create prediction models automatically by using the OMD (OMNIS Model Developer)
- Designed as a platform: fully automate your NIR measurements or combine it with titration
- Compliance: full compliance with FDA 21 CFR Part 11, USP<856> , EP, and JP regulations
- Adaptability: use the instrument as a standalone, or in a client/server environment
The advantages of NIR spectroscopy (NIRS) over IR spectroscopy are:
- The intensity of the bands are lower with NIRS. Thus, there is less detector saturation. This means that for solids you can use pure samples and for liquids the standard method is to use 8 mm vials.
- The energy of the light is higher with NIRS. This leads to deeper sample penetration. This means you can obtain information about the bulk of the sample and not just the surface.
- NIRS can be used for quantification and identification, wheras IR is almost exclusively used for identification.
- NIRS works with fiber optics, which means it can also be used directly in the process.
Learn more about the differences between NIRS and IR in our blog:
The OMNIS NIR Analyzer Liquid/Solid allows for both measurements of solid samples in reflection and measurements of liquid samples in transmission. The instrument can switch conveniently between both measurement modes and no changes in hardware are required. This means that users have a high degree of flexibility and they save time and costs.
The OMNIS platform makes automated and completely unattended NIR measurements possible with the OMNIS NIR Analyzer. There are two options, depending on the application and user preferences.
- The first option is automated measurements of up to more than 200 samples with closed vials for liquid or solid samples using the OMNIS Sample Robot NIR.
- The alternative for liquid samples is a flow-through cell set-up with an OMNIS Sample Robot, also allowing more than 200 samples to be processed and analyzed in series in an unattended manner.
Both options lead to NIR Analyzer setups with full walkaway capabilities.
The Metrohm OMNIS NIR Analyzer series are instruments for the measurement of solid and liquid samples in the area of food & feed as well as chemical, pharma, polymer, and personal care. For food & feed, the OMNIS NIR Analyzer is very suitable to measure moisture, protein, ash, fiber and fats. For edible oil, it can also determine the fatty acid spectrum, i.e. the distribution of the different saturated and unsaturated fatty acids, such as oleic (C18:1) and linoleoic (C18:2) acid.
A large selection of NIR pre-calibrations are availabe with the OMNIS NIR Analyzer. These pre-calibrations are based on numerous real product spectra which means you do not need to perform any sample analysis or model creation. You can use the Metrohm pre-calibrations directly and start using your OMNIS NIR Analyzer immediately. Just unpack and you are ready to be successful.
Metrohm NIR pre-calibrations are available for different products and applications in the areas of polymer, chemicals and food & feed. Examples include:
- PE
- PP
- PET
- PA6
- polyols
- isocyanaytes
- cannabis
- edible oil
- palm-oil
- coffee
- flour
- milk powder
The OMNIS Software includes algorithms such as PCA, PLS, and SVM, enabling users to develop models with high accuracy and robustness. Visualization of sample properties in score, loading, and influence plots simplifies method development and allows users to extract the maximum value from their data, all while maintaining an intuitive workflow.
Furthermore, the OMNIS Software allows the combination of multiple model types to further increase accuracy and expand application possibilities. For example, identification models can be structured into multiple sub-identification models to distinguish even more similar substances, while sub-quantification models can be built for specific concentration ranges to improve accuracy.
Creation of prediction models can be a challenging task for two reasons.
- It requires samples with known reference values for the training set, to serve as a basis for the model development. These samples should cover the expected range for the parameter of interest.
- In order to create a prediction model from these samples, a technique called chemometrics, or multivariate data analysis, needs to be applied. This usually requires that the user has knowledge of chemometrics.
With the OMNIS NIR Analyzer series, everybody can develop prediction models with the OMD (OMNIS Model Developer) and no knowledge of chemometrics is required. The OMD is started with one click in the software and it creates prediction models automatically and without any further user interaction. These models can be saved and immediately used for routine measurements. When more samples have been measured, these models can also be easily updated at a later stage.
NIR 近紅外光譜：提升品管實驗室效率
這本電子書全面介紹了利用近紅外光譜 ( NIRS ) 進行快速品質管制的主題。書中不僅闡述了該技術的基本原理和應用，還提供了化學、製藥、聚合物、石油等各產業的具體應用案例。