A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry has been widely used as an emerging technology for the rapid identification of microorganisms. <i>Cronobacter sakazakii (C. sakazakii)</i> is a food-borne pathogen of particular importance to the powdered infant...

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Main Authors: Danliangmin Song, Qunchao Su, Ai Jia, Shiqian Fu, Xiaoming Ma, Tiantian Li, Chaoxin Man, Xinyan Yang, Yujun Jiang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/12/10/1981
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author Danliangmin Song
Qunchao Su
Ai Jia
Shiqian Fu
Xiaoming Ma
Tiantian Li
Chaoxin Man
Xinyan Yang
Yujun Jiang
author_facet Danliangmin Song
Qunchao Su
Ai Jia
Shiqian Fu
Xiaoming Ma
Tiantian Li
Chaoxin Man
Xinyan Yang
Yujun Jiang
author_sort Danliangmin Song
collection DOAJ
description Matrix-assisted laser desorption ionization time-of-flight mass spectrometry has been widely used as an emerging technology for the rapid identification of microorganisms. <i>Cronobacter sakazakii (C. sakazakii)</i> is a food-borne pathogen of particular importance to the powdered infant formula (PIF) processing environment due to its high lethality in infants. However, the traditional solid spotting detection method of pretreating samples for MALDI-TOF MS leads only to qualitative detection of <i>C. sakazakii</i>. We developed a new, low-cost, robust liquid spotting pretreatment method and used a response surface methodology to optimize its parameters. The applicability, accuracy, and quantitative potential were measured for different types of samples. The optimal parameters of this method were as follows: a volume of 70% formic acid of 25 μL, treatment with ultrasound at 350 W for 3 min, and a volume of acetonitrile added of 75 μL. These conditions led to the highest identification score for <i>C. sakazakii</i> (1926.42 ± 48.497). This method was found to detect bacteria accurately and reproducibly. When 70 strains of <i>C. sakazakii</i> isolates were analyzed with this method, the identification accuracy was 100%. The detection limit of <i>C. sakazakii</i> in environmental and PIF samples was 4.1 × 10<sup>1</sup> cfu/mL and 2.72 × 10<sup>3</sup> cfu/mL, respectively.
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spelling doaj.art-e860597803cf4802a65539de91c2a7092023-11-18T01:21:15ZengMDPI AGFoods2304-81582023-05-011210198110.3390/foods12101981A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MSDanliangmin Song0Qunchao Su1Ai Jia2Shiqian Fu3Xiaoming Ma4Tiantian Li5Chaoxin Man6Xinyan Yang7Yujun Jiang8Department of Food Science, Northeast Agricultural University, Harbin 150038, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaKey Laboratory of Animal Protein Food Deep Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315800, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaKey Laboratory of Dairy Science, Ministry of Education, Harbin 150030, ChinaDepartment of Food Science, Northeast Agricultural University, Harbin 150038, ChinaMatrix-assisted laser desorption ionization time-of-flight mass spectrometry has been widely used as an emerging technology for the rapid identification of microorganisms. <i>Cronobacter sakazakii (C. sakazakii)</i> is a food-borne pathogen of particular importance to the powdered infant formula (PIF) processing environment due to its high lethality in infants. However, the traditional solid spotting detection method of pretreating samples for MALDI-TOF MS leads only to qualitative detection of <i>C. sakazakii</i>. We developed a new, low-cost, robust liquid spotting pretreatment method and used a response surface methodology to optimize its parameters. The applicability, accuracy, and quantitative potential were measured for different types of samples. The optimal parameters of this method were as follows: a volume of 70% formic acid of 25 μL, treatment with ultrasound at 350 W for 3 min, and a volume of acetonitrile added of 75 μL. These conditions led to the highest identification score for <i>C. sakazakii</i> (1926.42 ± 48.497). This method was found to detect bacteria accurately and reproducibly. When 70 strains of <i>C. sakazakii</i> isolates were analyzed with this method, the identification accuracy was 100%. The detection limit of <i>C. sakazakii</i> in environmental and PIF samples was 4.1 × 10<sup>1</sup> cfu/mL and 2.72 × 10<sup>3</sup> cfu/mL, respectively.https://www.mdpi.com/2304-8158/12/10/1981<i>Cronobacter sakazakii</i>MALDI-TOF MSliquid spottingresponse surface methodologydirect identification
spellingShingle Danliangmin Song
Qunchao Su
Ai Jia
Shiqian Fu
Xiaoming Ma
Tiantian Li
Chaoxin Man
Xinyan Yang
Yujun Jiang
A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
Foods
<i>Cronobacter sakazakii</i>
MALDI-TOF MS
liquid spotting
response surface methodology
direct identification
title A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
title_full A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
title_fullStr A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
title_full_unstemmed A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
title_short A Method to Directly Identify <i>Cronobacter sakazakii</i> in Liquid Medium by MALDI-TOF MS
title_sort method to directly identify i cronobacter sakazakii i in liquid medium by maldi tof ms
topic <i>Cronobacter sakazakii</i>
MALDI-TOF MS
liquid spotting
response surface methodology
direct identification
url https://www.mdpi.com/2304-8158/12/10/1981
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