Ni Tien1, Hung-Chih Chen2, Shiow-Lan Gau3, Tzu-Hsien Lin4, Hsiu-Shen Lin1, Bang-Jau You5, Po-Chuan Tsai4, I-Ru Chen2, Ming-Fan Tsai6, I-Kuan Wang2, Chao-Jung Chen7, Chiz-Tzung Chang8. 1. Department of Laboratory Medicine, China Medical Univeristy Hospital, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan; Department of Medical Laboratory Science and Biotechnology, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 2. College of Medicine, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan; Division of Nephrology, China Medical University Hospital, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 3. Department of Statistics, Feng Chia University, No 100 Wenhua Rd, Seatwen, Taichung 40724, Taiwan. 4. Division of Nephrology, China Medical University Hospital, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 5. Department of Chinese Pharmaceutical Sciences and Chinese Medicine Resources, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 6. College of Medicine, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 7. Graduate Institute of Integrated Medicine, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. 8. College of Medicine, China Medical University, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan; Division of Nephrology, China Medical University Hospital, No. 2 Yu-Der Rd, North District, Taichung 40447, Taiwan. Electronic address: d19863@mail.cmuh.org.tw.
Abstract
BACKGROUND: Bacterial peritonitis is the most common cause of peritoneal dialysis (PD) therapy drop-out. A quick and accurate diagnosis of the bacterial pathogen can reduce the PD drop-out rate. Surface-enhanced Raman spectroscopy (SERS) can rapidly identify bacteria using chips coated with nano-sized metal particles. METHODS: Known bacteria were loaded in the SERS-chips and illuminated with laser light to establish a reference Raman spectra library. Dialysate from PD peritonitis patients was concentrated by centrifuge and examined with the same SERS, and the resulting Raman spectra were compared with library spectra for bacteria identification. Principal component analysis was used for further confirmation. The same batches of dialysate were sent to routine culture as a reference bacteria identification method. The results of the 2 identification methods were compared. RESULTS: A total of 43 paired-samples were sent for study. There were 37 samples with bacteria identified but 6 were culture-negative by the reference method. 31 bacteria were identified in paired-samples by SERS, among which, 29 bacteria were exactly the same as those identified by the reference method. Bacteria not included in the reference library spectra cannot be identified. CONCLUSIONS: SERS techniques can rapidly identify bacterial pathogens in the dialysate of PD peritonitis patients.
BACKGROUND: Bacterial peritonitis is the most common cause of peritoneal dialysis (PD) therapy drop-out. A quick and accurate diagnosis of the bacterial pathogen can reduce the PD drop-out rate. Surface-enhanced Raman spectroscopy (SERS) can rapidly identify bacteria using chips coated with nano-sized metal particles. METHODS: Known bacteria were loaded in the SERS-chips and illuminated with laser light to establish a reference Raman spectra library. Dialysate from PD peritonitispatients was concentrated by centrifuge and examined with the same SERS, and the resulting Raman spectra were compared with library spectra for bacteria identification. Principal component analysis was used for further confirmation. The same batches of dialysate were sent to routine culture as a reference bacteria identification method. The results of the 2 identification methods were compared. RESULTS: A total of 43 paired-samples were sent for study. There were 37 samples with bacteria identified but 6 were culture-negative by the reference method. 31 bacteria were identified in paired-samples by SERS, among which, 29 bacteria were exactly the same as those identified by the reference method. Bacteria not included in the reference library spectra cannot be identified. CONCLUSIONS:SERS techniques can rapidly identify bacterial pathogens in the dialysate of PD peritonitispatients.
Authors: Katarína Rebrošová; Martin Šiler; Ota Samek; Filip Růžička; Silvie Bernatová; Veronika Holá; Jan Ježek; Pavel Zemánek; Jana Sokolová; Petr Petráš Journal: Sci Rep Date: 2017-11-01 Impact factor: 4.379
Authors: Katarina Rebrosova; Ota Samek; Martin Kizovsky; Silvie Bernatova; Veronika Hola; Filip Ruzicka Journal: Front Cell Infect Microbiol Date: 2022-04-22 Impact factor: 6.073