Infrared Spectroscopy Methods Research Articles

Enhanced identification of defective pre-coated paints on metal through simple temperature-perturbed infrared measurement in conjunction with two-trace two-dimensional correlation analysis

A promising infrared (IR) spectroscopic method able to effectively identify defective pre-coated metal (PCM), a pre-painted metal panel, has been demonstrated. A temperature-perturbed IR measurement in conjunction with a two-trace two-dimensional (2T2D) correlation analysis was proposed as a strategy for enhancing defect identification. Our objectives were to induce dissimilar temperature-driven structural variations of base paints and added components, to recognize dissimilarities by 2T2D correlation analysis, and to use subsequent 2T2D correlation features to identify sample defects. For the exploratory examination, three defect cases were studied: 1) grey-silver PCMs with and without phosphate epoxy (2.0%), 2) normal and violet colorant-contaminated (0.2%) black PCMs, and 3) normal, violet (0.5%), and yellow colorant-contaminated (0.1%) white PCMs. The IR spectral features of the PCMs collected at 20 and 50 °C were different due to the temperature-dependent structural variations. Initial measurements at 50 °C allowed discrimination of normal and violet colorant-contaminated black PCMs. When using 2T2D slice spectra obtained from 2T2D correlation analysis using the spectra measured at the two temperatures, violet- as well as yellow colorant-contaminated white PCMs were identified, while these were unclear in the measurements at either 20 or 50 °C. The effective capture of dissimilar temperature-driven spectral variations of base paint and colorants (contaminants) by 2T2D correlation analysis was responsible for the improved defect identification.

Quantitative NIR spectroscopy for determination of degree of polymerisation of historical paper

This paper discusses the development of a near infrared (NIR) spectroscopic method coupled with multivariate analysis to characterise historical paper. Specifically, partial least squares (PLS) regression was used to predict one of the most important properties of paper as a condition indicator – degree of polymerisation (DP). Supported by a set of model cellulose samples, the NIR-PLS method for DP prediction was validated and the modelling approach that led to the best prediction of DP of paper was established. The coefficient of variation of the NIR-PLS models were found to be approximately 8% and 20% of the DP of model cellulose and historical paper, respectively. The variance of the reference DP, the variance of the predicted DP, and the model bias were identified as the main sources of the total expected generalisation error of prediction. For both model cellulose and historical paper, the variance of the predicted DP by the NIR-PLS models contributed the most to the total error of prediction. This suggests that improving the instrumentation and the operation procedure is essential to improve model performance. Furthermore, the effect of water content of the samples on model performance was investigated. The model for historical paper was proven to be robust to relative humidity fluctuations between 30% and 70%, indicating the applicability of the model for collection surveys in a range of environments.

PENENTUAN TIPE FLUIDA DAN GUGUS FUNGSI MANIFESTASI PANAS BUMI KAWAH TUA GUNUNG API SOPUTAN

Indonesia is a country that has the largest geothermal resources in the world which is directly proportional to the number of volcanoes. Indonesia is an archipelagic country located at three junction of active mountain plates, namely the Eurasia, Indo-Australia and Pacific plates. Where Indonesia is also located in an active ring of fire that is associated with active volcanoes in Indonesia. North Sulawesi is one of the provinces in Indonesia which has several active volcanoes, one of which is the object of research is Mount Soputan. This volcano is located in South Minahasa and Southeast Minahasa Districts, North Sulawesi Province. The method used in this research is descriptive method and analysis of geothermal fluid chemical data. Analysis of the ion content in the fluid using a SpectroDirect Photometer. As well as functional group analysis using the FTIR Spectroscopy method (Fourier Transform Infra Red), this method is an infrared spectroscopy method equipped with Fourier transform for its spectrum analysis. Geothermal manifestation fluid in the Old Crater of Mount Soputan Volcano is a bicarbonate type of fluid with an HCO3 content of 479 ppm. The high HCO3 content is thought to be associated with the increase in geothermal fluids containing gas, especially CO2, which then experiences condensation in shallow aquifers.

Confined effect of water solution of ciprofloxacin in carbon nanotubes studied by Raman and Fourier Transform Infrared Spectroscopy methods

In this work we refer the properties of water solution of ciprofloxacin confined in single wall carbon nanotubes. Ciprofloxacin is well-known antibiotic applied against Gram-positive and Gram-negative bacteria. We study the influence of the size of nanotubes and their structure on interactions with the drug water solution. Analysis of Raman spectroscopy of the carbon nanotubes shows that the higher amorphousness of carbon nanotubes, which increase bio-capability of materials, is associated with their semiconductor’s properties. We used FT-IR spectroscopy to define the structure of confined ciprofloxacin, and we can assume what vibrations of functional group in the ciprofloxacin molecule have been suppressed by confining in the pores. ciprofloxacin, carbon nanotubes, drug delivery, raman spectroscopy, FT-IR.

Date-rape evidence through fast determination of γ-butyrolactone in adulterated beverages

An infrared spectroscopy (IR) based methodology has been developed to determine γ-butyrolactone (GBL) in adulterated beverages. The proposed method permits the direct screening of GBL in beverages and involves a minimum sample treatment requiring less than 2 min for quantitative determination of GBL. Sensitivity of IR method was improved by using liquid-liquid extraction (LLE) providing detection limits of 0.023 mg g−1. Accuracy of the proposed methodology was evaluated through the analysis of soft beverages and alcoholic cocktails spiked with GBL at concentration levels ranging from 0.075 to 10 mg g−1 providing recovery values from 91 to 100%. GBL was determined in twelve blind-spiked beverages, including from mineral water to wine and cocktails. Results obtained were statistically comparable to those provided by a liquid chromatography (LC) reference methodology and consistent with the spiked values. Therefore, the use of LLE-FTIR allowed a simple, sensitive and quantitative determination of GBL in soft beverages and alcoholic cocktails, thus evidencing its use for sex submission intention.

A Coarse/Fine Dual-Stage Motion Artifacts Removal Algorithm for Wearable NIRS Systems

Motivation: This paper proposes a motion artifact removal (MAR) algorithm and its evaluation method for wearable functional near infrared spectroscopy (fNIRS) system. Methods: Two types of motion artifacts (MAs) and their characteristics have been investigated, and a coarse/fine dual-stage MAR method is proposed, which can remove the MAs with different features and magnitudes to protect the original data from damage. In addition, an evaluation method is also proposed based on the classification of 4 mental tasks, which objectively quantize the performance of the MAR algorithms. Results: With the proposed MAR algorithm, the mental-task classification accuracy increased from 74.73% to 83.70% in average.

Effect of crystallographic structure of MnO2 on degradation of 2-CEES

In this study, four MnO2 samples with different crystallographic structures (α-, β-, δ- and γ-MnO2) were synthesized by the hydrothermal method. The relationship between the characteristics of the four crystalline samples and their degradation ability against 2-chloroethyl ethyl sulfide (2-CEES), a simulant of the chemical warfare agent sulfur mustard, and the relevant reaction mechanism were investigated. Characterization data indicated that the various crystal types displayed different specific surface areas, frequency of lattice defects, amounts of adsorbed/inserted water, and numbers and strength of basic sites. The combined effects of these differences caused different degradation activity in 2-CEES degradation to be observed. The reaction followed pseudo-first-order kinetics, whereby γ-MnO2 exhibited the highest degradation activity. The mechanism of 2-CEES degradation was studied by gas chromatography and infrared spectroscopy methods, and data indicated the key role played by substrate hydrolysis and oxidation in the degradation process.

Assessment of Microplastic Degrading Potential of Fungal Isolates from an Estuary in Rivers State, Nigeria

The potential of fungi as bio degraders of micro plastic particles was assessed using standard microbiological and Fourier transformed Infra-Red (FTIR) spectroscopic analysis methods. The highest mean Total Heterotrophic fungal (THF) count of 4.24x104 cfu/ml was obtained with the least THF (2.72x104 cfu/ml) recorded during the dry season. Mean hydrocarbon Utilizing Fungal (HUF) count was highest (1.78x104 cfu/ml) during the wet period while the least HUF count (1.46x104 cfu/ml) was recorded during the dry period. Spectra of FTIR showed that the water contained microplastic particles in these proportions; polyethylene of low density (LDPE) 0.01%, 0.11% protein, 0.15% polystyrene, 0.37% polyamide, 1.14% cellulose, 1.21% polyurethane, 1.90% polyvinyl chloride, 3.11% polyester and 92% polypropylene, respectively. Species of fungi identified were Aspergillus niger, Penicillium spp., Rhizopus spp., Mucor spp., Aspergillus nidulans, Fusarium spp., Microsporum canis, and Aspergillus fumigatus. Among the fungal isolates, A. niger and A. fumigatus were most active in degrading the micro plastic (polypropylene) with mean % weight loss of 71.09% and 53.09%, respectively while the least active was Penicillium spp. with a mean % weight loss of 28.64% during the study period. The order of degradation was Aspergillus niger > A. fumigatus > A. nidulans > Fusarium spp. > Rhizopus spp. > Microsporum canis > Mucor spp. > Penicillium spp. The potential to degrade micro plastic particles by these fungi can be harnessed. The foremost active fungi degrading potentials are as follows: A. niger (71.1%) and A. fumigatus (53.1%). The study has shown that isolates of fungi from Ohiakwu River in Nigeria possess the ability to degrade micro plastic (polypropylene) particles. Therefore, this research is of tremendous importance for industrial development and additionally for future research purposes.

Intensification the Features of Interaction Between Components of Pollutants of Industrial Waste Waters with Modified Zeolites Based on the Results of Integrated Physical and Chemical Researches

The results of a study on the adsorption of oil products and heavy metal ions by modified zeolites from industrial wastewater are presented. As a modifier of zeolites of the Holinsky deposit, a sulfur polymer is proposed that is obtained from waste during the production of epichlorohydrin, the main components of which is 1,2,3-trichloropropane. The mechanisms of adsorption and the results of investigations by the methods of infra-red pectroscopy and energy differential X-ray spectroscopy of the initial samples of materials are described in detail. On the Irspectres new absorption bands are considered. These bands reflect the nature of fixation of modifier on the surface of sorbent. Also the results of original investigations of the thermodynamic laws of sorption extraction of Ni2+, Zn2+, Cu2+ from wastewater are presented. The limiting parameters of the adsorption process are described by the Langmuir equation. The graphical method the limiting value of adsorption, the adsorption equilibrium constant, the differential heat of adsorption, the adsorption rate constant, the activation energy, the Gibbs energy was founded. It is proved that the investigated processes obey the laws of physical adsorption and are spontaneous.

Synthesis, Anti-Bacterial and Anti-biofilm Activity of New Iminothiazolidinones

Aim: Iminothiazolidinones are one of the important classes of heterocyclic compounds and they occupied unique position in medicinal chemistry due to their wide range of biological and pharmaceutical properties. In view this potential activity, it has been planned to synthesize a series of New Iminothiazolidinones on benzimidazole nucleus and to study their biological activity.
 Methodology: Iminothiazolidinones and 1,1 dioxide- Iminothiazolidinones were synthesized with a simple and efficient method of cyclic condensation of aryl thiourea containing benzimidazole and thiazole with chloroacetic acid .This method requires mild reaction conditions, simple procedure and gives good yield.
 Results: The structures of the synthesized compounds were assessed by Infrared, NMR and Mass spectroscopic methods. The synthesized compounds were screened for their antibacterial and biofilm inhibitory activities against selected multi drug resistant bacterial strains.
 Conclusion: In accordance with the results obtained, growth inhibition was found significant with compounds 5d and 5e. Methicillin resistant Staphylococcus aureus (MRSA), Vancomycin resistant Enterococcus (VRE), and extended spectrum β‑lactamase (ESBL) producing Klebsiella pneumoniae have shown varied susceptibility towards these compounds. The Biofilm inhibition Concentrations (BFIC) of compounds 5e and 5d are 3.22 ±0.56 and 6.58 ±1.5 µg/mL respectively were noted against MRSA.

Rapid Qualitative and Quantitative Analysis of Caffeine and Sodium Benzoate in Annaca by Infrared Spectroscopy.

Objective To establish an infrared spectroscopic method for the rapid qualitative and quantitative analysis of caffeine and sodium benzoate in Annaka samples. Methods Qualitative and quantitative modeling samples were prepared by mixing high-purity caffeine and sodium benzoate. The characteristic absorption peaks of caffeine and sodium benzoate in Annaka samples were determined by analyzing the infrared spectra of the mixed samples. The quantitative model of infrared spectra was established by partial least squares （PLS）. Results By analyzing the infrared spectra of 17 mixed samples of caffeine and sodium benzoate （the purity of caffeine ranges from 10% to 80%）, the characteristic absorption peaks for caffeine were determined to be 1 698, 1 650, 1 237, 972, 743, and 609 cm-1. The characteristic absorption peaks for sodium benzoate were 1 596, 1 548, 1 406, 845, 708 and 679 cm-1. When the detection of all characteristic absorption peaks was the positive identification criteria, the positive detection rate of caffeine and sodium benzoate in 48 seized Annaka samples was 100%. The linear range of PLS quantitative model for caffeine was 10%-80%, the coefficient of determination （ R2） was 99.9%, the root mean square error of cross validation （RMSECV） was 0.68%, and the root mean square error of prediction （RMSEP） was 0.91%; the linear range of PLS quantitative model for sodium benzoate was 20%-90%, the R2 was 99.9%, the RMSECV was 0.91% and the RMSEP was 1.11%. The results of paired sample t test showed that the differences between the results of high performance liquid chromatography method and infrared spectroscopy method had no statistical significance. The established infrared quantitative method was used to analyze 48 seized Annaka samples, the purity of caffeine was 27.6%-63.1%, and that of sodium benzoate was 36.9%-72.3%. Conclusion The rapid qualitative and quantitative analysis of caffeine and sodium benzoate in Annaka samples by infrared spectroscopy method could improve identification efficiency and reduce determination cost.

New method for calibration of a quadrupole mass spectrometer for hydrogen isotopes measurements

Quantitative analysis of hydrogen isotopes is an essential problem when it comes to accurately determine the performance of ITER hydrogen isotope separation system, or in case of the purity of tritium gas for injection into the Tokamak, to know the level of impurities, in terms of protium and deuterium (H, D).Mass spectrometry is a reliable method to accurately measure low or high concentrations of hydrogen isotopes (H and D) in various gas mixtures.Due to the interferences caused by the triatomic ions formed in the ion source as a result of the interactions between ions and neutral molecules, corrections must be applied in order to get accurate results.In this paper, a new method for calibration of a quadrupole mass spectrometer for hydrogen isotopes (protium and deuterium) is presented, taking into account the contributions and corrections due to the interferences caused by the triatomic ions at the interest m/z ratios. Also, the uncertainty of the measurement and the detection limit of the method are determined.In order to verify the validity of the method, an intercomparison between the results obtained using Fourier-Transform Infrared Spectroscopy method (a FTIR spectrometer) and the quadrupole mass spectrometer (QMS) was performed for the quantitative analysis of hydrogen isotopes.

The use of spectroscopy methods for structural analysis of CVD diamond films, polycrystalline and single-crystal diamonds

For the work results correct interpretation, it is important to study initial materials that scientists have to deal with. Currently, there are a large number of different diamond substrates. Comparison of materials among themselves allows you to determine which material you are dealing with. In this work, the methods of infrared (IR) spectrometry, Raman spectroscopy and spectrophotometry are used to study four types of diamond materials: diamond polycrystalline CVD-films; natural single-crystal diamonds; synthetic polycrystalline HPHT-diamonds (such as DSPC – diamond synthetic polycrystal by GOST 9206-80); polycrystalline CVD-diamonds CDM manufactured by E6. In work it was shown that the Raman spectroscopy allows to measure the effect of heat treatment on changes in the diamond structure, even if it is such highly advanced diamond materials as natural diamonds. Heat treatment affects the perfection of diamond crystal structure by reducing stresses and the number of defects in it due to graphitization process. The IR spectrometry method is effective for determining the shape and amount of nitrogen inclusions in diamond structure. To study polycrystalline CVD-films, the spectrophotometry method turned out to be the most effective, because it made possible to determine a small number of nitrogen defects and draw conclusions about the quality of the films. The investigation of polycrystalline diamonds CDM and DSPC demonstrated that, despite their coarse-crystalline structure, diamond crystallites consist of a highly defective diamond phase; in addition, DSPC-diamonds were studied using this method in the first time.

Identification of prospective sources of agronomically-valuable traits of bread wheat (Triticum aestivum L.) among breeding lines in the condition of Forest-Steppe of Ukraine

The aim of work was the estimation of valuable traits of bread wheat breeding lines, obtained from interspecies crosses with wild Aegilops and Triticum species growing in a condition of the Forest- Steppe of Ukraine. We used the seed proteins electrophoresis in PAAG for confirmation of the presence of rye seed storage components in the wheat parental lines genomes. The biochemical compositions of seeds had determined by the infrared spectroscopy method. As a result of researching from the set of 600 breeding lines were selected best lines with increased grain yield from 1 m2, with high protein content in grain, disease resistance, and winter hardiness significantly exceeded the standard variety Polesskaya-90. All lines have high and moderate resistance against diseases: Powdery Mildew, Brown Rust, Septoria Blotch. Based on obtained data had selected breeding lines, which were promising sources of single and complex agronomically valuable traits for bread wheat breeding and genetic researches.

Моніторинг концентрацій газів, розчинених у трансформаторному маслі, під час експлуатації силового трансформаторного обладнання

The peculiarities of application of stationary gas analyzers of power oil of filled equipment in main and distribution networks, as well as at power generation enterprises are analyzed. The problem of discrepancies in the values of concentrations of gases dissolved in oil obtained from stationary gas analyzers in the mode of continuous monitoring and obtained by the results of tests of transformer oil samples performed by laboratory chromatographers is investigated. A comparative analysis of different principles for measuring gas concentrations based on two groups of methods: chromatography method and infrared spectroscopy methods by Bouguer–Lambert–Beer law. The features of application, advantages and disadvantages of the main methods of infrared spectroscopy are considered. The results of the laboratory comparison of the analysis of the mixture of reference gases and the analysis of gases obtained from oil-filled transformer equipment, which is in operation, conducted by a stationary gas analyzer and laboratory. It is established that both laboratory devices and stationary gas analyzers have similar errors in determining gas concentrations in prepared laboratory mixtures. The coefficients of linear regression, constructed as a function of dependence of the indications of a stationary gas analyzer on the indications of a laboratory device, are given, when analyzing the same oil samples. Conclusions were made about the main reasons that affect the discrepancy of the obtained results, which allowed to determine the feasibility of using stationary gas analyzers, on the basis of spectroscopy, as devices capable of fixing the trend of increasing gas concentrations, and to make decisions on unscheduled oil samples for laboratory analysis based on their indications.

Emission measurement campaigns of Respirable Crystalline Silica (RCS) at industrial plants/Emissionsmessungen von alveolengängigem kristallinen Siliziumdioxid (RCS) an Industrieanlagen

The potential risk from human exposure to Respirable Crystalline Silica (RCS) includes a range of serious non-malignant effects as well as lung cancer, which may occur at relatively low levels. In a previous study, investigating several industrial sectors, we found the highest emission levels of RCS in the industrial silica sand operations. 28 different sand processing facilities were examined in two complex emission measurement programmes. A two-stage cascade impactor was used to separate the particle fractions: > 10 μm, 10 - 4 μm and < 4 μm of aerodynamic diameter. The size of particles of most concern is the so-called particulate matter 4 (PM4). The analytical procedure for determining RCS in emission samples consists of using X-ray diffraction and infrared spectroscopy methods. The relationship between Total Particulate Matter (TPM), PM4 and RCS (as a percentage of PM4) was evaluated. In the case of increased Total Particulate Matter concentration in the stack gas (more than 20 mg/m³) combined with increased percentage of RCS in PM4 an exceedance of an Emission Limit Value (ELV) of 1 mg/m³ is more likely to occur. The evaluation of the emission data helped to formulate differentiated emission control requirements of the plants concerning the draft of the new German Technical Instructions on Air Quality Control (new German TA Luft). It was possible to demonstrate, under which conditions for the specific processing techniques used, emission limits for Total Particulate Matter can be used as a threshold value for the Respirable Crystalline Silica emission. If the mass fraction of quartz in the source rock to be processed is more than 20%, periodic measurements of Respirable Crystalline Silica will be necessary every three years on grinders, whereas they will be only necessary on dryers if the Total Dust concentration exceeds 5 mg/m³.

Infrared spectroscopy technique for quantification of compounds in plant-based medicine and supplement.

Quality control of plant-based medicine and supplements must be carried out to ensure uniformity in quality and safety in their use, resulting in the need for effective and accurate analytical methods. Infrared spectroscopy is a method of qualitative and quantitative analysis that is fast, time-saving, cost-effective,accurate, and nondestructive. This method has been applied for quantitative analysis of compounds in complex matrices such as plant-based medicine and supplements supported by chemometrics techniques. The success of infrared spectroscopy applications for quantitative analysis of phytochemicals and adulterants content in plant-based medicine and supplement can happen by several factors. This article highlights the effect of spectral preprocessing and variable selection on quantitative analysis of phytochemical and adulterant in plant-based medicine and supplements using infrared spectroscopy. Literature search was conducted with PubMed, Google Scholar, and Science Direct by selecting quantitative analysis research on plant-based medicines and supplements that utilize spectral preprocessing techniques and variable selection in processing data analysis. The preprocessing spectra and variables selection can affect the accuracy and precision of infrared spectroscopy methods. The variable selection can be done using the wavenumber point technique, the wavenumber interval, or a combination thereof. Variable selection is more commonly used for near-infrared data than for IR data. The optimization of the preprocessing spectra and variables selection technique will be useful in increasing the ability of infrared spectroscopy in predicting compound levels.

Williamson-Hall based X-ray peak profile evaluation and nano-structural characterization of rod-shaped hydroxyapatite powder for potential dental restorative procedures

<abstract> In the present paper, nanometer scale hydroxyapatite powders with a rod-like shape, were prepared using a combined ultrasonic and microwave heating-based method. Subsequent annealing of as-synthesized powders at 800 ℃ for 2 h produced nanoparticles with a rectangular and granular morphology. The hydroxyapatite particles were characterized using X-ray diffraction and Fourier transform infrared spectroscopy methods. Also, nanoparticle size and morphology were investigated using transmission electron microscopy and field emission scanning electron microscopy. A comparable selected area electron diffraction (SAED) analysis also showed results in line with X-ray powder diffraction patterns. The resulting X-ray diffraction peaks indicated that the powders were highly crystalline in nature and no impure phases were present. The X-ray diffraction data, was also used to study the effects of peak broadening by using the Williamson–Hall (W–H) analysis technique. The analysis used the uniform deformation model (UDM), uniform stress deformation model (USDM) and uniform deformation energy density model (UDEDM) to determine physical parameters like crystallite size, lattice strain, stress and energy density. The results of the W-H analysis were found to be comparable to the results obtained from microscopy studies. Importantly, the studies confirmed the synthesized nano- hydroxyapatite powders had morphologies similar to those found in dental hard tissues. </abstract>

The analysis of new higher operative bioactive compounds and chemical functional group from herbal plants through UF-HPLC-DAD and Fourier transform infrared spectroscopy methods and their biological activity with antioxidant potential process as future green chemical assay

The two herbal plants of Adhatoda vasica and Calotropis procera, commonly available in worldwide, were selected to explore their medicinal significance. The isolation and quantitative analysis of ten important bioactive compounds such as P-hydroxy-benzoic, Stictic acid, Usnic acid, Epigallocatechin gallate, Quercetin, Epigallocatechin, Catechin, Morin, Epicatechin and Naringenin, isolated from various parts was performed by using UF-HPLC-DAD and FTIR techniques. The antioxidant potentials of isolated bioactive compounds were evaluated through six methods including Electron spin resonance spectrometry, ABTS Assay, Diphenyl picrylhydrazyl (DPPH) radical scavenging assay, total radical-trapping, ORAC, and phycoerythrin assay on various plant parts. The advanced ESR method along with five other methods was applied for the first time on these species to evaluate the antioxidant potential of both species. The results showed that the flowers of Adhatoda vasica prove to be a rich source of important compounds in which Naringenin (15 ± 0.41) was higher in the flowers. The similar trend observed in twigs and seeds of Adhatoda vasica, the Epicatechin was higher in seeds of Calotropis procera. Results showed that the electron spin resonance spectrometry and ABTS radical scavenging assay methods showed higher antioxidant potential in Adhatoda vasica and Calotropis procera as compared to Diphenyl picrylhydrazyl (DPPH) radical scavenging assay.

The potential of handheld near infrared spectroscopy to detect food adulteration: Results of a global, multi-instrument inter-laboratory study

Fraud in the food supply system will be exacerbated by shortages caused by climate change and COVID-19′s impact. The dried herbs market exemplifies complex supply chains attractive to criminals seeking financial gain. Real-time remote testing is achievable through development of globally accessible chemometric models for portable near infrared devices, deployed throughout supply chains. This study describes building of models for detection of oregano adulteration, on portable near infrared devices, and comparison to a laboratory-based Fourier-Transform Infrared spectroscopy method. 33/34 portable devices were able to correctly classify 5 out of 6 samples successfully with all adulterated samples being correctly classified following the use of appropriate transferability pre-processing routines. The devices native setup shows limited ability to perform a true screening of oregano using the setup offered. However modifications to the setup could in the future offer a solution that facilitates fit-for-purpose real time detection of adulterated samples within the supply chain.