Microflex LT (Bruker Daltonics) and VITEK MS (bioMérieux) are bacterial identification systems that are based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). For VITEK MS, two identification softwares, VITEK MS IVD (IVD) and SARAMIS (SARAMIS), are available. Microflex LT is equipped with MALDI Biotyper RTC software (Biotyper). Although the identification accuracy of each instrument has been compared for various bacteria, no detailed examination has been conducted for the identification accuracy of Clostridium difficile. In this report, we compared the three identification softwares for identification reproducibility in three ATCC C. difficile strains and identification accuracy in 50 clinical C. difficile isolates. The results showed 100, 91.7 and 100 % identification reproducibility accuracy of ATCC strains when examined by IVD, SARAMIS and Biotyper software, respectively. For the identification of the clinical isolates, all three softwares exhibited satisfactory identification accuracy of C. difficile. Among the 50 clinical isolates, seven showed identical toxin genotype corresponding to the exact ribotype. However, MALDI-TOF MS failed to identify them as the identical type. Based on the above results, we concluded that both types of MALDI-TOF MS reproducibly identified C. difficile; however, they are currently not suitable for typing of C. difficile clones.
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http://dx.doi.org/10.1099/jmm.0.000136 | DOI Listing |
Food Chem X
January 2025
Institute of Pomology, Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu 210014, China.
Strawberries are valued for their aroma, which is mainly determined by volatile organic compounds (VOCs). Wild strawberries, with broader and more intense VOC profiles, are especially important in breeding programs. Using HS-SPME-GC-MS, 126 VOCs were identified in the ripe fruit of 22 cultivars from four wild strawberry species.
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December 2024
Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Background: The pathological sub-classification of lung cancer is crucial in diagnosis, treatment and prognosis for patients. Quick and timely identification of pathological subtypes from imaging examinations rather than histological tests could help guiding therapeutic strategies. The aim of the study is to construct a non-invasive radiomics-based model for predicting the subtypes of lung cancer on brain metastases (BMs) from multiple magnetic resonance imaging (MRI) sequences.
View Article and Find Full Text PDFTransl Cancer Res
December 2024
Department of Stomatology, The First Hospital of Lanzhou University, Lanzhou, China.
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View Article and Find Full Text PDFHeliyon
July 2024
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
Resting-state functional magnetic resonance imaging (rs-fMRI) is a non-invasive neuroimaging technique widely utilized in the research of Autism Spectrum Disorder (ASD), providing preliminary insights into the potential biological mechanisms underlying ASD. Deep learning techniques have demonstrated significant potential in the analysis of rs-fMRI. However, accurately distinguishing between healthy control group and ASD has been a longstanding challenge.
View Article and Find Full Text PDFLiNbO domain structures have been widely applied in nonlinear beam shaping, quantum light generation, and nonvolatile ferroelectric memory. The recent developments in nanoscale domain engineering techniques make it possible to fabricate sub-diffracted nanodomains in LiNbO crystal for high-speed modulation and high-capacity storage. However, it still lacks a feasible and efficient way to characterize these nanoscale domains.
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