Conformational study of neutral histamine monomer and their vibrational spectra

Mukherjee, V.; Yadav, Tarun

doi:10.1016/j.saa.2016.04.041

Cited by 26 publications

(12 citation statements)

References 29 publications

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“…The best results for the bonito samples and the combined bonito and tuna samples were obtained with model M2, achieving R v 2 of 0.722 and 0.786, respectively. As expected, the best predictive capabilities were obtained for the M2 model, since it is based on spectral regions containing vibrational modes of medium and strong intensity of the histamine molecule, i.e., the 1255-1324 cm −1 and 1480-1570 cm −1 regions, as previously reported [22,36,39,41]. Less acceptable predictive capabilities are determined for the M3 and M4 models based on a fewer individual strong vibrational bands of the histamine molecule, indicating that weaker vibrational bands present in a broader spectral range contain information that contributes significantly to the overall quality of the PLSR model.…”

Section: Plsr Modelssupporting

confidence: 80%

Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling

Filipec

Valinger

Mikac

et al. 2021

Foods

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Histamine fish poisoning is a foodborne illness caused by the consumption of fish products with high histamine content. Although intoxication mechanisms and control strategies are well known, it remains by far the most common cause of seafood-related health problems. Since conventional methods for histamine testing are difficult to implement in high-throughput quality control laboratories, simple and rapid methods for histamine testing are needed to ensure the safety of seafood products in global trade. In this work, the previously developed SERS method for the determination of histamine was tested to determine the influence of matrix effect on the performance of the method and to investigate the ability of different chemometric tools to overcome matrix effect issues. Experiments were performed on bluefin tuna (Thunnus thynnus) and bonito (Sarda sarda) samples exposed to varying levels of microbial activity. Spectral analysis confirmed the significant effect of sample matrix, related to different fish species, as well as the extent of microbial activity on the predictive ability of PLSR models with R2 of best model ranging from 0.722–0.945. Models obtained by ANN processing of factors derived by PCA from the raw spectra of the samples showed excellent prediction of histamine, regardless of fish species and extent of microbial activity (R2 of validation > 0.99).

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Section: Plsr Modelssupporting

confidence: 80%

Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling

Filipec

Valinger

Mikac

et al. 2021

Foods

View full text Add to dashboard Cite

show abstract

“…Owing to such a special molecular structural evolution, the conformation of histamine is very sensitive to the surrounding environment and causes the torsion of the side chain relative to the imidazole ring to a certain degree ( Figure 1 D). ( Mukherjee and Yadav, 2016 ; Vianello and Mavri, 2012 ). Hence, several different conformations could coexist in hydrophil histamine powders.…”

Section: Resultsmentioning

confidence: 99%

“…In the dication form, the three nitrogen atoms all accept protons. The pH value can effectively affect the side-chain internal torsion so as to form stable ionic forms (different torsional isomers) that determine biological activities ( Kodchakorn et al., 2019 ; Mukherjee and Yadav, 2016 ; Vianello and Mavri, 2012 ). Figure 2 A depicts the low-frequency Raman spectra of the aqueous histamine solutions with three typical pH values of 11, 7.4, and 4.…”

Section: Resultsmentioning

confidence: 99%

Strong histamine torsion Raman spectrum enables direct, rapid, and ultrasensitive detection of allergic diseases

et al. 2021

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“…The peaks at 1635 cm −1 and 1113 cm −1 are attributed to the stretching vibration of the carbonyl group (C=O) and amide groups due to the reaction of carboxyl groups on the surface of MNPs with amino groups on l -cysteine, which introduces sulfhydryl groups from l -cysteine to MNPs for adsorption of AuNPs [30]. The presence of histamine can be demonstrated by the C=C stretching mode and C−H out-of-plane bending mode, which appeared at 1456.9 cm −1 and 875 cm −1 , respectively [31,32]. The peaks at 2853 cm −1 and 2923 cm −1 are from the stretching vibration of −CH 2 − and −CH 3 .…”

Section: Resultsmentioning

confidence: 99%

Carbon Dots-Modified Nanoporous Membrane and Fe3O4@Au Magnet Nanocomposites-Based FRET Assay for Ultrasensitive Histamine Detection

Mao

2019

Molecules

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Histamine can be formed by enzymatic decarbonylation of histidine, which is an important indicator of seafood quality. A rapid and sensitive assay method is necessary for histamine monitoring. A fluorescence resonance energy transfer (FRET) assay system based on a carbon dot (CD)-modified nanoporous alumina membrane and Fe3O4@Au magnet nanocomposites has been developed for histamine detection in mackerel fish. CDs immobilized on nanoporous alumina membranes were used as donors, which provided a fluorescence sensing substrate for histamine detection. Fe3O4@Au magnet nanocomposites can not only act as acceptors, but also concentrate histamine from fish samples to increase detection sensitivity. Histamine was detected by the fluorescence signal changes of CDs capturing histamine by an immune reaction. The fluorescence signals of CDs were quenched by Fe3O4@Au magnet nanocomposites via the FRET mechanism. With an increase of histamine, the fluorescence intensity decreased. By recording fluorescence spectra and calculating intensity change, histamine concentration can be determined with a limit of detection (LOD) of 70 pM. This assay system can be successfully applied for histamine determination in mackerel fish to monitor the fish spoilage process in different storage conditions. It shows the potential applications of CDs-modified nanoporous alumina membranes and Fe3O4@Au magnet nanocomposites-based biosensors in the food safety area.

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Conformational study of neutral histamine monomer and their vibrational spectra

Cited by 26 publications

References 29 publications

Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling

Influence of Sample Matrix on Determination of Histamine in Fish by Surface Enhanced Raman Spectroscopy Coupled with Chemometric Modelling

Strong histamine torsion Raman spectrum enables direct, rapid, and ultrasensitive detection of allergic diseases

Carbon Dots-Modified Nanoporous Membrane and Fe3O4@Au Magnet Nanocomposites-Based FRET Assay for Ultrasensitive Histamine Detection

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