| 光谱学与光谱分析 |
|
|
|
|
|
| Differentiation and Identification of Alicyclobacillus Strains by Fourier Transform Near-Infrared Spectroscopy |
| WANG Ruo-nan, YUE Tian-li*, YUAN Ya-hong, WANG Hu-xuan, SONG Ya-di, WANG Jun |
| College of Food Science and Engineering, Northwest A & F University, Yangling 712100, China |
|
|
|
|
Abstract Fourier transform near-infrared spectroscopy(FT-NIR) can reflect the overall molecular composition of microbial cells to identify different types of microorganisms. To establish an accurate, effective method about the differentiation and identification of Alicyclobacillus strains between different species, the present research performed the following studies by FT-NIR:（1）The FT-NIR spectra about seven type stains was clustered for data analysis. After preprocessing, reduction of data was performed by Principal Component Analysis (PCA) and Linear Discriminant Analysis(LDA), exploring the feasibility of differentiation and identification between different species, the result suggested that the PCA model can cluster the seven species of Alicyclobacillus strains correctly and the LDA model Ⅰcan predict the unknown species with 100% accuracy. It evidenced that the method could identify different species of Alicyclobacillus strains preliminary. （2）In order to improve the robustness and practicability of the model, a total of 41 Alicyclobacillus strains including type and isolated strains were prepared for LDA modelⅡ, using the same methods as mentioned before. The result indicated that the LDA model validated by fifteen sample with 86.67% accuracy. It was more perfect and more comprehensive.As a result, the FT-NIR technology combined with chemometrics method can accurately and effectively identify Alicyclobacillus strains between different microbial species.
|
|
Received: 2014-07-04
Accepted: 2014-11-12
|
|
|
|
Corresponding Authors:
YUE Tian-li
E-mail: yuetl@nwsuaf.edu.cn
|
|
[1] Yvette Smit，Michelle Cameron，Pierre Venter，et al. Food Microbiology，2011，28: 331.
[2] Baysal A H, Molva C, Unluturk S. International Jouranl of Food Microbiology，2013，3(166): 494.
[3] Wang Jun，Yue Tianli，Yuan Yahong，et al. Journal of Food Science，2011，2(76): 137.
[4] Robert Schwe，Ingo Fetzer, Annika Tnniges，et al. Journal of Microbiological Methods，2011，86: 182.
[5] Rodriguez S B，Thornton M A. Applied and Environmental Microbiology, 2013, 20(79): 6264.
[6] Rodriguez-Saona L E, Khambaty F M, Fry F S, et al. Journal of Agricultural and Food Chemistry, 2001, 49(2): 574.
[7] Rebuffo-Scheer C A, Kirschner C, Staemmler M, et al. Journal of Microbiological Methods, 2007, 68(2): 282.
[8] Dziuba B，Babuchowski A，Nalecz D，et al. International Dairy Journal，2007，17(3): 183.
[9] YANG Li-jun，LI Zhao-jie，SONG Xiao-hua，et al（杨丽君，李兆杰，宋晓华，等）. Microbiology China（微生物学通报），2013，2（40）：373.
[10] YANG Li-jun，LI Zhao-jie，WANG Jing，et al（杨丽君，李兆杰，王 静，等）. Journal of Food Science and Biotechnology（食品与生物技术学报），2013，2（32）：169.
|
| [1] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
| [2] |
ZHANG Zi-hao1, GUO Fei3, 4, WU Kun-ze1, YANG Xin-yu2, XU Zhen1*. Performance Evaluation of the Deep Forest 2021 (DF21) Model in
Retrieving Soil Cadmium Concentration Using Hyperspectral Data[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2638-2643. |
| [3] |
KONG De-ming1, CUI Yao-yao2, 3, ZHONG Mei-yu2, MA Qin-yong2, KONG Ling-fu2. Study on Identification Seawater Submersible Oil Based on Total
Synchronous Fluorescence Spectroscopy Combined With
High-Order Tensor Feature Extraction Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 62-69. |
| [4] |
FU Hong-bo1, WU Bian1, WANG Hua-dong1, ZHANG Meng-yang1, 2, ZHANG Zhi-rong1, 2*. Quantitative Analysis of Li in Lithium Ores Based on Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3489-3493. |
| [5] |
YAN Peng-cheng1, 2, ZHANG Xiao-fei2*, SHANG Song-hang2, ZHANG Chao-yin2. Research on Mine Water Inrush Identification Based on LIF and
LSTM Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3091-3096. |
| [6] |
JIANG Wan-li1, 2, SHI Jun-sheng1, 2*, JI Ming-jiang1, 2. Establishment of Visible and NIR Spectral Reflectance Database of Plant Leaves and Principal Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2366-2373. |
| [7] |
YAN Peng-cheng1, 2, ZHANG Chao-yin2*, SUN Quan-sheng2, SHANG Song-hang2, YIN Ni-ni1, ZHANG Xiao-fei2. LIF Technology and ELM Algorithm Power Transformer Fault Diagnosis Research[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1459-1464. |
| [8] |
ZHAO Yu-hui，LIU Xiao-dong，ZHANG Lei，LIU Yong-hong. Research on Calibration Transfer Method Based on Joint Feature Subspace Distribution Alignment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3411-3417. |
| [9] |
PING Li1, ZHAO Rong1, YANG Bin1*, YANG Yang1, CHEN Xiao-long2, WANG Ying1. Inversion of Particle Size Distribution in Spectral Extinction Measurements Using PCA and BP Neural Network Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3639-. |
| [10] |
FAN Xian-guang1, 2, LIU Long1, ZHI Yu-liang1, KANG Zhe-ming1, XIA Hong1, ZHANG Jia-jie1, WANG Xin1, 2*. Fast Reconstruction for Multi-Channel Raman Imaging Based on and Sample Optimization and PCA[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(08): 2495-2499. |
| [11] |
YAN Peng-cheng1, 2, SHANG Song-hang2, ZHOU Meng-ran2, HU Feng2, LIU Yu1. Research on Identification of Coal Mine Water Source Based on Laser Induced Fluorescence Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2176-2181. |
| [12] |
Soo Hyun Park1, 3, Youngki Hong2, Mubarakat Shuaibu1, Sangcheol Kim2, Won Suk Lee1*. Detection of Apple Marssonina Blotch with PLSR, PCA, and LDA Using Outdoor Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1309-1314. |
| [13] |
LU Wan-hong, LI Peng*, WANG Chu-biao, LIN Yan, LUO Jian-zhong. Identifying Eucalypt Hybrids and Cross Parents by Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 873-877. |
| [14] |
CHEN Shu-yi1, ZHAO Quan-ming1, DONG Da-ming2*. Application of Near Infrared Spectroscopy Combined with Comparative Principal Component Analysis for Pesticide Residue Detection in Fruit[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 917-921. |
| [15] |
GU Jie1, CHEN Hua-zhou1, 2*, CHEN Wei-hao1, MO Li-na1, WEN Jiang-bei2. FT-NIR Spectroscopy Quasi-Qualitative Determination Applied to the Waveband Selection for Soil Nitrogen[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(02): 562-566. |
|
|
|
|
