Rapid Identification of Different Pathogenic Spore-Forming Bacteria in Spice Powders Using Surface-Enhanced Raman Spectroscopy and Chemometrics

被引:8
|
作者
Liu, Shijie [1 ]
Zhu, Yaodi [1 ,2 ]
Li, Miaoyun [1 ]
Liu, Weijia [1 ]
Zhao, Lijun [1 ]
Ma, YangYang [1 ]
Xu, Lina [1 ]
Wang, Na [1 ]
Zhao, Gaiming [1 ]
Liang, Dong [1 ]
Yu, Qiuying [1 ]
机构
[1] Henan Agr Univ, Coll Food Sci & Technol, 63 Wenhua Rd, Zhengzhou 450002, Peoples R China
[2] Postdoctoral Workstn Hengdu Food Co LTD, Zhumadian 463700, Peoples R China
关键词
Surface-enhanced Raman spectroscopy; Pathogenic spore-forming bacteria; 16SrDNA; Chemical stoichiometry; GOLD NANOPARTICLES; SERS DETECTION; GERMINATION; GROWTH; CELLS;
D O I
10.1007/s12161-022-02326-y
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Bacterial spores were isolated and purified from three powder spices: garlic powder, onion powder, and five-spice powder. The rapid identification of different bacteriophages was achieved by surface-enhanced Raman spectroscopy (SERS) combined with chemometrics. Five bacilli were isolated in the powdered spices: Clostridium perfringens, Bacillus subtilis, Bacillus amyloliquefaciens, Bacillus licheniformis, and Paenibacillus pabuli. The Raman bands of each bacillus were significantly different with regard to the locations of the peaks and the intensity of the characteristic fingerprint profiles in the spectral range of 400-1800 cm(-1). The training set and prediction set of the k-nearest neighbor (KNN) showed the recognition rate as 92.0% and 72.0%, respectively. The recognition rates of the least squares support vector machine (LS-SVM) were 100.0% and 86.3%, respectively. LS-SVM is the optimum predictive model. Hence, SERS allowed rapid differentiation of different phylogenetic taxa and provided technical support and a scientific basis for rapid and accurate detection of spore-forming bacteria in different powder preparations.
引用
收藏
页码:2810 / 2820
页数:11
相关论文
共 50 条
  • [21] Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics
    Ke, Qian
    Yin, Limei
    Jayan, Heera
    El-Seedi, Hesham R.
    Gomez, Paula L.
    Alzamora, Stella M.
    Zou, Xiaobo
    Guo, Zhiming
    MOLECULES, 2023, 28 (14):
  • [22] Detection of bacteria by surface-enhanced Raman spectroscopy
    Sengupta, Atanu
    Mujacic, Mirna
    Davis, E. James
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2006, 386 (05) : 1379 - 1386
  • [23] Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
    Ho, Chi-Sing
    Jean, Neal
    Hogan, Catherine A.
    Blackmon, Lena
    Jeffrey, Stefanie S.
    Holodniy, Mark
    Banaei, Niaz
    Saleh, Amr A. E.
    Ermon, Stefano
    Dionne, Jennifer
    NATURE COMMUNICATIONS, 2019, 10 (1)
  • [24] Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
    Chi-Sing Ho
    Neal Jean
    Catherine A. Hogan
    Lena Blackmon
    Stefanie S. Jeffrey
    Mark Holodniy
    Niaz Banaei
    Amr A. E. Saleh
    Stefano Ermon
    Jennifer Dionne
    Nature Communications, 10
  • [25] Early Diagnosis of Fibromyalgia Using Surface-Enhanced Raman Spectroscopy Combined with Chemometrics
    Bao, Haona
    Hackshaw, Kevin V.
    Castellvi, Silvia de Lamo
    Wu, Yalan
    Gonzalez, Celeste Matos
    Nuguri, Shreya Madhav
    Yao, Siyu
    Goetzman, Chelsea M.
    Schultz, Zachary D.
    Yu, Lianbo
    Aziz, Rija
    Osuna-Diaz, Michelle M.
    Sebastian, Katherine R.
    Giusti, Monica M.
    Rodriguez-Saona, Luis
    BIOMEDICINES, 2024, 12 (01)
  • [26] Discrimination of bacteria and bacteriophages by Raman spectroscopy and surface-enhanced Raman spectroscopy
    Goeller, Lindsay J.
    Riley, Mark R.
    APPLIED SPECTROSCOPY, 2007, 61 (07) : 679 - 685
  • [27] Detecting Pathogenic Mycoplasmas with Surface-Enhanced Raman Spectroscopy
    Krause, Duncan C.
    SPECTROSCOPY, 2018, 33 (03) : 22 - 23
  • [28] Rapid discrimination of xiaokeng green tea geographical origin using surface-enhanced Raman spectroscopy coupled with chemometrics
    Chen, Yingqi
    Gan, Shiya
    Zhao, Xiaoyi
    Zhao, Lei
    Qiu, Tong
    Jiang, Qing
    Xiao, Mengxuan
    Li, Luqing
    Song, Yan
    Dai, Qianying
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2024, 197
  • [29] Rapid identification of heterotrophic, thermophilic, spore-forming bacteria isolated from hot composts
    Blanc, M
    Marilley, L
    Beffa, T
    Aragno, M
    INTERNATIONAL JOURNAL OF SYSTEMATIC BACTERIOLOGY, 1997, 47 (04): : 1246 - 1248
  • [30] Identification of Foodborne Pathogen Using Surface-Enhanced Raman Spectroscopy
    Qi W.
    Yang Y.
    Wang M.
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2023, 56 (10): : 1003 - 1012