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Microbiochemical analysis of carious dentine using raman and fluorescence spectroscopy

机译:用喇曼光谱和荧光光谱法进行龋齿牙本质的微生物生化分析。

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The aim of this study was to evaluate and correlate objectively the microspectroscopically derived biochemical components of sound, infected and affected carious dentine with their microhardness and autofluorescence (AF) characteristics. Over 3 million high-resolution Raman spectra from 8 extracted human carious teeth were recorded using Raman spectrometer with parallel spectrum acquisition. Green AF signals across each carious lesion from all samples were acquired with a similar spatial resolution using confocal fluorescence microscopy. The Knoop microhardness (KHN) from a total of 233 co-localized areas was recorded from the same samples and allocated subjectively into the three zones. Cluster analysis of the Raman data, performed using in-house software, produced five independent spectral components representing mineral content, protein content, porphyrin fluorescence (PF), putative infected dentine signal (IDS) and affected dentine signal (ADS). The distributions of the 5 Raman components and the AF signal were matched across all samples and their average values were calculated for each corresponding KHN area. The infected dentine was defined significantly by the KHN, AF and by the relative contribution of the mineral, PF and IDS clusters. Protein cluster was not statistically related to the KHN or AF. A delineation between affected and sound dentine was observed using the KHN, AF, PF and ADS parameters. This study concludes that micro-Raman spectroscopy can provide a non-invasive and objective evaluation of different carious dentine zones. Being able to detect and assess clinically the caries-affected dentine during minimally invasive operative caries management is important to control the risk of unnecessary tissue removal.
机译:这项研究的目的是评估,客观,合理地关联,声,感染和受影响的龋牙本质的显微光谱生化成分与它们的显微硬度和自发荧光(AF)特征。使用具有平行光谱采集功能的拉曼光谱仪记录了来自8个提取的人类龋齿的超过300万个高分辨率拉曼光谱。使用共聚焦荧光显微镜以相似的空间分辨率采集了所有样品中每个龋齿病变的绿色AF信号。从相同的样本中记录了总共233个共定位区域的努氏显微硬度(KHN),并主观地分配给这三个区域。使用内部软件进行的拉曼数据的聚类分析产生了五个独立的光谱成分,分别代表矿物质含量,蛋白质含量,卟啉荧光(PF),假定的感染性牙本质信号(IDS)和受影响的牙本质信号(ADS)。 5个拉曼分量和AF信号的分布在所有样本中均匹配,并针对每个对应的KHN区域计算其平均值。 KHN,AF和矿物质,PF和IDS簇的相对贡献显着定义了受感染的牙本质。蛋白质簇与KHN或AF在统计学上不相关。使用KHN,AF,PF和ADS参数观察到了受影响的牙本质和健全的牙本质之间的界限。这项研究得出的结论是,微拉曼光谱可以提供不同龋齿牙本质区域的非侵入性和客观评估。在微创手术龋齿管理过程中,能够检测和临床评估受龋齿影响的牙本质对于控制不必要的组织切除风险非常重要。

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