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用于表征引起鼻窦炎的细菌菌株的细菌培养上清液的表面增强拉曼光谱法(SERS)。

Surface-enhanced Raman spectroscopy (SERS) for the characterization of supernatants of bacterial cultures of bacterial strains causing sinusitis.

作者信息

Saleem Mudassar, Nawaz Haq, Majeed Muhammad Irfan, Rashid Nosheen, Anjum Fozia, Tahir Muhammad, Shahzad Rida, Sehar Aafia, Sabir Amina, Rafiq Nighat, Ishtiaq Shazra, Shahid Muhammad

机构信息

Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.

Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38000, Pakistan.

出版信息

Photodiagnosis Photodyn Ther. 2023 Mar;41:103278. doi: 10.1016/j.pdpdt.2023.103278. Epub 2023 Jan 7.

Abstract

BACKGROUND

Sinusitis is defined as inflammation of the paranasal sinus mucous membrane lining caused by bacteria which usually invade the sinus by upper respiratory tract viral infections (UTI).

OBJECTIVES

In the present study, Surface-enhanced Raman spectroscopy (SERS) has been applied to differentiate and characterize supernatant samples, in triplicate, of three different types of bacteria which are considered leading cause of sinusitis disease.

METHODS

For this purpose, supernatant samples of three different strains of bacteria namely Staphylococcus aureus, Klebsiella pneumoniae and Enterococcus faecalis. The SERS has identified significant changes as a result of secretions of biomolecules by these bacteria in their supernatants which can be helpful to explore the potential of this technique for the identification and characterization of different strains of bacteria causing same disease.

RESULTS

These differentiating characteristic SERS spectral features including 552 cm (C-S-S-C bonds), 951 cm (CN stretching), 1008 cm (Phenylalanine), 1032 cm (In plane CH bending mode Phenylalanine), 1280 cm, 1320 cm, 1329 cm (Amide III band), 1368 cm, 1400 cm, 1420 cm (COOsym. stretching and CH bending), 1583 cm (Tyrosine) correspond to Proteins and 1051 cm (C-C, C-O, -C-OH def.) correspond to carbohydrates contents of these three different types of bacterial secretions in their respective supernatants. Furthermore, multivariate data analysis techniques like principal component analysis (PCA) and a supervised method partial least squares-discriminant analysis (PLS-DA) were found to be useful for the identification and characterization of different bacterial supernatants.

CONCLUSIONS

Surface-enhanced Raman spectroscopy is proven to be a helpful approach for the characterization and discrimination of three bacterial supernatants including S. aureus, K. pneumonia and E. faecalis.

摘要

背景

鼻窦炎被定义为由细菌引起的鼻窦黏膜内衬炎症,这些细菌通常通过上呼吸道病毒感染(UTI)侵入鼻窦。

目的

在本研究中,表面增强拉曼光谱(SERS)已被用于对三种不同类型细菌的上清液样本进行区分和表征,这三种细菌被认为是鼻窦炎疾病的主要病因,样本取了三份。

方法

为此,选取了三种不同菌株的细菌,即金黄色葡萄球菌、肺炎克雷伯菌和粪肠球菌的上清液样本。由于这些细菌在上清液中分泌生物分子,SERS识别出了显著变化,这有助于探索该技术在鉴定和表征导致相同疾病的不同菌株细菌方面的潜力。

结果

这些具有区分特征的SERS光谱特征包括552厘米(C-S-S-C键)、951厘米(C-N伸缩)、1008厘米(苯丙氨酸)、1032厘米(苯丙氨酸平面内CH弯曲模式)、1280厘米、1320厘米、1329厘米(酰胺III带)、1368厘米、1400厘米、1420厘米(COO对称伸缩和CH弯曲)、1583厘米(酪氨酸),对应蛋白质,以及1051厘米(C-C、C-O、-C-OH变形),对应这三种不同类型细菌各自上清液中的碳水化合物含量。此外,发现多元数据分析技术,如主成分分析(PCA)和一种监督方法偏最小二乘判别分析(PLS-DA),对于鉴定和表征不同细菌上清液很有用。

结论

表面增强拉曼光谱被证明是一种有助于表征和区分三种细菌上清液的方法,这三种上清液分别来自金黄色葡萄球菌、肺炎克雷伯菌和粪肠球菌。

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