Single-drop technique for lactose prediction in dry milk on metallic surfaces: Comparison of Raman, FT – NIR, and FT – MIR spectral imaging

Caponigro, Vicky; Marini, Federico; Scannell, Amalia G. M.; Gowen, Aoife

doi:10.1016/j.foodcont.2022.109351

Cited by 13 publications

(8 citation statements)

References 29 publications

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“…The Raman spectra of Metformin hydrochloride and Lactose monohydrate and the related characteristics bands are shown in Figure S2. Metformin hydrochloride has a strong spectral line at 740 cm À1 , which is related to wagging vibrational mode of N-H bond, and also, a spectral line of Lactose monohydrate at 1093 cm À1 indicates strong Raman intensity that relates to stretching vibration of the bridge C-O-C group 20,32,[36][37][38][39][40] (Figure S2). Also, the intensity of peak at 1093 cm À1 is sensitive to the concentration of Lactose.…”

Section: Resultsmentioning

confidence: 99%

The feasibility of Raman spectroscopy for accurate assessment of essential criteria in pharmaceutical industry by investigation of Metformin hydrochloride tableting process

Karimi,

Tavassoli

2024

J Raman Spectroscopy

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Analytical and real‐time technology in pharmaceutical manufacturing process is an important need to ensure that manufactured drugs are safe and effective. Raman spectroscopy is an emerging technique that is able to perform quantitative analysis nondestructively due to the molecular structure of many drugs. Monitoring the content uniformity and quantification of active pharmaceutical ingredient (API) in the tablet preparation process, without the assistance of solvent, is one of the key concerns in the formulation design in order to provide stable, pure, and homogenous finished products. In this study, we investigated the possibility of using Raman data as an analytical method to quantify API, the intra‐ and inter‐sample uniformity of content in the tableting process of Metformin hydrochloride tablets (C4H11N5.HCl). Analysis of all standard samples for prediction of API uniformity represents an acceptable accuracy and precision with a relative standard deviation of 2.55%. Further investigation of tablets regarding to relative Raman intensity of some characteristic peaks demonstrates the amount of API content with an accuracy of ≥96%. These values have a good adaption with pharmacopeia monograph. Findings reveal that the Raman method can be routinely utilized for quantifying API, controlling the content uniformity and the stability of drugs in different stages of manufacturing.

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Section: Resultsmentioning

confidence: 99%

The feasibility of Raman spectroscopy for accurate assessment of essential criteria in pharmaceutical industry by investigation of Metformin hydrochloride tableting process

Karimi,

Tavassoli

2024

J Raman Spectroscopy

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“…A preliminary interpretation of the spectra has shown several important signals. The peak at 1144 cm –1 (polysaccharides C–O bond stretching [ 27 ]) should be attributed to lactose, and it has the highest relative intensity in the MO1 sample medium. Two other characteristic peaks of lactose occur at 934 cm −1 and 1097 cm −1 , associated with the C–C and C–O vibrations [ 27 ].…”

Section: Resultsmentioning

confidence: 99%

“…The peak at 1144 cm –1 (polysaccharides C–O bond stretching [ 27 ]) should be attributed to lactose, and it has the highest relative intensity in the MO1 sample medium. Two other characteristic peaks of lactose occur at 934 cm −1 and 1097 cm −1 , associated with the C–C and C–O vibrations [ 27 ]. A standalone peak at 1309 cm –1 is present in all spectra in Figure 1 , because it belongs to the twisting vibrations of the common CH 2 group [ 17 , 18 , 20 , 21 ].…”

Section: Resultsmentioning

confidence: 99%

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Analysis of Milk Microstructure Using Raman Hyperspectral Imaging

Surkova

Bogomolov

2023

Molecules

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Optical spectroscopic analysis of the chemical composition of milk in its natural state is complicated by a complex colloidal structure, represented by differently sized fat and protein particles. The classical techniques of molecular spectroscopy in the visible, near-, and mid-infrared ranges carry only bulk chemical information about a sample, which usually undergoes a destructive preparation stage. The combination of Raman spectroscopy with confocal microscopy provides a unique opportunity to obtain a vibrational spectrum at any single point of the sample volume. In this study, scanning confocal Raman microscopy was applied for the first time to investigate the chemical microstructure of milk using samples of various compositions. The obtained hyperspectral images of selected planes in milk samples are represented by three-dimensional data arrays. Chemometric data analysis, in particular the method of multivariate curve resolution, has been used to extract the chemical information from complex partially overlaid spectral responses. The results obtained show the spatial distribution of the main chemical components, i.e., fat, protein, and lactose, in the milk samples under study using intuitive graphical maps. The proposed experimental and data analysis method can be used in an advanced chemical analysis of natural milk and products on its basis.

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“…Various approaches have been developed to detect LAC levels using different analytical techniques. These techniques include high resolution ultrasonic spectroscopy [7], Fouriertransform infrared spectroscopy (FTIR) [8], FT-mid infrared (FT-MIR) spectral imaging [9], mass spectrometry [10], Raman spectroscopy [11], high-performance liquid chromatography (HPLC) [12], capillary electrophoresis [13], optical [14], and electrochemical sensors [15]. Electrochemical sensors are especially remarkable due to their excellent sensitivity, selectivity, and stability when compared to other methods.…”

Section: Introductionmentioning

confidence: 99%

Highly sensitive rhodamine B dye-based electrochemical sensor for lactose detection

Yıldız,

Taşaltın,

Unal

et al. 2024

Phys. Scr.

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Lactose (LAC) is the main disaccharide sugar found in milk and dairy products, making it easily accessible as a food source. In addition to its importance for human and animal health, LAC concentrations serve as a biomarker of milk quality. In this study, we reported the detection of LAC using a highly sensitive electrochemical sensor based on rhodamine B (RhB) dye. The prepared RhB-based sensor exhibited excellent characteristics, including a straightforward manufacturing technique, cost-effectiveness, exceptional sensitivity, and selectivity. We conducted a comparative analysis of the electrochemical response of the novel RhB-based sensor, evaluating its electrochemical performance across varying LAC concentrations and when different analyte materials (glucose, fructose, and maltose) were employed. The proposed analytical method was utilized to determine LAC using an electrochemical RhB-based sensor under optimal experimental conditions. As a result, it was experimentally observed that high sensor sensitivity of RhB based sensor against LAC was inversely proportional to the impedance value and directly proportional to conductance which corolated with the transport mechanism of RhB.

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Single-drop technique for lactose prediction in dry milk on metallic surfaces: Comparison of Raman, FT – NIR, and FT – MIR spectral imaging

Cited by 13 publications

References 29 publications

The feasibility of Raman spectroscopy for accurate assessment of essential criteria in pharmaceutical industry by investigation of Metformin hydrochloride tableting process

The feasibility of Raman spectroscopy for accurate assessment of essential criteria in pharmaceutical industry by investigation of Metformin hydrochloride tableting process

Analysis of Milk Microstructure Using Raman Hyperspectral Imaging

Highly sensitive rhodamine B dye-based electrochemical sensor for lactose detection

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