The Maillard reaction is a reaction between sugar and the amino group of proteins. Herein, Nα-acetyl lysine (Ac-Lys) and fructose were the model compounds. Structural information of the intermediates and products of the reaction at pH 7.4 and 37°C was obtained using UV–Vis absorption, fluorescence, and 785-nm excited non-resonance Raman spectroscopy. In the 6-h reaction, three independent components in the spectroscopic data were attributed to the solvated reactants (A), their complex (B), and a covalent-bonded product (C). The rate constant of the change in the fraction from A to B and B to C were (9.9 ± 0.1) × 10−3 and (3.3 ± 0.1) × 10−3 min−1, respectively. Polymeric Maillard reaction products were not yet formed. The structures of the solute molecules in each state were discussed based on the spectroscopic data.
马氏反应是糖与蛋白质氨基之间的反应。在这里,Nα-乙酰赖氨酸(Ac-Lys)和果糖是模型化合物。利用紫外可见吸收、荧光和 785 纳米激发非共振拉曼光谱获得了 pH 值为 7.4、温度为 37°C 的反应中间产物和产物的结构信息。在 6 小时的反应中,光谱数据中的三个独立成分分别是溶解的反应物(A)、它们的复合物(B)和共价键产物(C)。从 A 到 B 和从 B 到 C 的组分变化速率常数分别为 (9.9 ± 0.1) × 10-3 和 (3.3 ± 0.1) × 10-3 min-1。聚合物马氏反应产物尚未形成。根据光谱数据讨论了各状态下溶质分子的结构。
{"title":"Spectroscopic Analysis of the Initial Step of the Maillard Reaction of d-Fructose and Nα-Acetyl-l-Lysine","authors":"Tsung-Cheng Yang, Hirotsugu Hiramatsu","doi":"10.1002/jrs.6730","DOIUrl":"10.1002/jrs.6730","url":null,"abstract":"<p>The Maillard reaction is a reaction between sugar and the amino group of proteins. Herein, <i>N</i><sub>α</sub>-acetyl lysine (Ac-Lys) and fructose were the model compounds. Structural information of the intermediates and products of the reaction at pH 7.4 and 37°C was obtained using UV–Vis absorption, fluorescence, and 785-nm excited non-resonance Raman spectroscopy. In the 6-h reaction, three independent components in the spectroscopic data were attributed to the solvated reactants (<b>A</b>), their complex (<b>B</b>), and a covalent-bonded product (<b>C</b>). The rate constant of the change in the fraction from <b>A</b> to <b>B</b> and <b>B</b> to <b>C</b> were (9.9 ± 0.1) × 10<sup>−3</sup> and (3.3 ± 0.1) × 10<sup>−3</sup> min<sup>−1</sup>, respectively. Polymeric Maillard reaction products were not yet formed. The structures of the solute molecules in each state were discussed based on the spectroscopic data.</p>","PeriodicalId":16926,"journal":{"name":"Journal of Raman Spectroscopy","volume":"55 11","pages":"1156-1164"},"PeriodicalIF":2.4,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jrs.6730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patience T. Shoko, Ewan W. Blanch, Peter J. Torley, Christopher Pillidge
The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.
{"title":"Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System","authors":"Patience T. Shoko, Ewan W. Blanch, Peter J. Torley, Christopher Pillidge","doi":"10.1002/jrs.6725","DOIUrl":"10.1002/jrs.6725","url":null,"abstract":"<p>The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.</p>","PeriodicalId":16926,"journal":{"name":"Journal of Raman Spectroscopy","volume":"55 11","pages":"1146-1155"},"PeriodicalIF":2.4,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jrs.6725","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marion Berge, Jonhatan Siboni, Carole Mequinion, Eric Caudron, Laetitia Lê
The quality and the security of preparations in hospital centres are essential to guarantee the patient's safety. The development of fast and efficient analytical methods is required to control the finished product before use. In this context, the study aimed to compare the performance and interchangeability of two spectral analytical methods: the flow injection analysis (FIA) with UV detection and the Raman spectroscopy for the quality control of preparation before use to quantify the remdesivir as a SARS-CoV-2 drug. A quantitative study of remdesivir was performed using clinically relevant concentration solutions ranging from 0.25 to 1.625 mg.mL−1 in 0.9% NaCl. Samples were analysed by FIA-UV at 245 nm and by a handheld Raman spectroscopy at 785 nm. Quantitative models were developed using a calibration set (n = 45 samples) and optimized using a validation set (n = 27). An external validation test set (n = 58) was used to compare the two methods by a Bland–Altman plot. Partial least square regression was used to analyse Raman spectra, while univariate analysis was performed at 245 nm for FIA-UV. The regression coefficient was higher than 0.990 for both methods, and the root mean square error of prediction was 0.031 mg.mL−1 for Raman spectroscopy. The Bland–Altman plot confirmed the interchangeability of the two methods and the potential of Raman spectroscopy to control remdesivir during clinical preparation in the hospital.
{"title":"Flow Injection Analysis With UV Detection Versus Raman Spectroscopy for the Quantitative Analysis of Remdesivir","authors":"Marion Berge, Jonhatan Siboni, Carole Mequinion, Eric Caudron, Laetitia Lê","doi":"10.1002/jrs.6723","DOIUrl":"10.1002/jrs.6723","url":null,"abstract":"<p>The quality and the security of preparations in hospital centres are essential to guarantee the patient's safety. The development of fast and efficient analytical methods is required to control the finished product before use. In this context, the study aimed to compare the performance and interchangeability of two spectral analytical methods: the flow injection analysis (FIA) with UV detection and the Raman spectroscopy for the quality control of preparation before use to quantify the remdesivir as a SARS-CoV-2 drug. A quantitative study of remdesivir was performed using clinically relevant concentration solutions ranging from 0.25 to 1.625 mg.mL<sup>−1</sup> in 0.9% NaCl. Samples were analysed by FIA-UV at 245 nm and by a handheld Raman spectroscopy at 785 nm. Quantitative models were developed using a calibration set (<i>n</i> = 45 samples) and optimized using a validation set (<i>n</i> = 27). An external validation test set (<i>n</i> = 58) was used to compare the two methods by a Bland–Altman plot. Partial least square regression was used to analyse Raman spectra, while univariate analysis was performed at 245 nm for FIA-UV. The regression coefficient was higher than 0.990 for both methods, and the root mean square error of prediction was 0.031 mg.mL<sup>−1</sup> for Raman spectroscopy. The Bland–Altman plot confirmed the interchangeability of the two methods and the potential of Raman spectroscopy to control remdesivir during clinical preparation in the hospital.</p>","PeriodicalId":16926,"journal":{"name":"Journal of Raman Spectroscopy","volume":"55 11","pages":"1139-1145"},"PeriodicalIF":2.4,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jrs.6723","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer Huidobro, Gorka Arana, Juan Manuel Madariaga
Nitrogen-based compounds are widespread in the environment due to various sources of natural and anthropogenic origin that introduce them from the most reducing form (the acidic ammonium cation) to the most oxidized (the nitrate anion). In addition, some environmental conditions, such as pH and redox potential, favor secondary reactions of nitrogenous compounds. An example of this is the harmful effect of nitrates on cultural heritage (CH), which poses a threat to its preservation. This is due to their high solubility and mobility, which allow them to penetrate the structure of the materials. As a result of their crystallization/dissolution and hydration/dehydration cycles, the precipitation of nitrate salts in the pores causes internal fractures, leading to the subsequent deterioration and loss of the material. The detection of these salts is a straightforward process in analytical chemistry, but it is imperative to use nondestructive and noninvasive analytical techniques, such as Raman spectroscopy, because of the need to preserve CH. In this work, we have compiled the sources and pathways that contribute to the formation of nitrogen-based compounds, especially nitrate salts in various CH components. Finally, the Raman spectrum characteristic of the nitrate family has also been explained, including the most damaging nitrates found in CH, such as niter, nitratine, nitrocalcite, nitromagnesite, nitrobarite, and nitrammite, and has been compiled. In addition, less common nitrates, some nitrites, and other ammonium compounds have been included in this database.
{"title":"Raman Spectroscopy Against Harmful Nitrogen-Based Compounds in Cultural Heritage Materials","authors":"Jennifer Huidobro, Gorka Arana, Juan Manuel Madariaga","doi":"10.1002/jrs.6724","DOIUrl":"10.1002/jrs.6724","url":null,"abstract":"<p>Nitrogen-based compounds are widespread in the environment due to various sources of natural and anthropogenic origin that introduce them from the most reducing form (the acidic ammonium cation) to the most oxidized (the nitrate anion). In addition, some environmental conditions, such as pH and redox potential, favor secondary reactions of nitrogenous compounds. An example of this is the harmful effect of nitrates on cultural heritage (CH), which poses a threat to its preservation. This is due to their high solubility and mobility, which allow them to penetrate the structure of the materials. As a result of their crystallization/dissolution and hydration/dehydration cycles, the precipitation of nitrate salts in the pores causes internal fractures, leading to the subsequent deterioration and loss of the material. The detection of these salts is a straightforward process in analytical chemistry, but it is imperative to use nondestructive and noninvasive analytical techniques, such as Raman spectroscopy, because of the need to preserve CH. In this work, we have compiled the sources and pathways that contribute to the formation of nitrogen-based compounds, especially nitrate salts in various CH components. Finally, the Raman spectrum characteristic of the nitrate family has also been explained, including the most damaging nitrates found in CH, such as niter, nitratine, nitrocalcite, nitromagnesite, nitrobarite, and nitrammite, and has been compiled. In addition, less common nitrates, some nitrites, and other ammonium compounds have been included in this database.</p>","PeriodicalId":16926,"journal":{"name":"Journal of Raman Spectroscopy","volume":"55 12","pages":"1224-1235"},"PeriodicalIF":2.4,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jrs.6724","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142204975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}