光谱学与光谱分析 |
|
|
|
|
|
Rapid Identification of Microorganisms Based on Fourier Transform Near Infrared Spectroscopy |
YUE Tian-li, WANG Jun, YUAN Ya-hong, GAO Zhen-peng |
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China |
|
|
Abstract Fourier transform-near infrared (FT-NIR) spectra of microorganisms reflect the overall molecular composition of the sample. The spectra were specific and can serve as spectroscopic fingerprints that enable highly accurate identification of microorganisms. Bacterial powders of one yeast and five bacteria strains were prepared to collect FT-NIR spectra. FT-NIR measurements were done using a diffuse reflection-integrating sphere. Reduction of data was performed by principal component analysis (PCA) and two identification models based on linear discriminant analysis (LDA) and artificial neural network (ANN) were established to identify bacterial strains. The reproducibility of the method was proved to be excellent (Dy1y2: 1.61±1.05-10.97±6.65) and high identification accuracy was achieved in both the LDA model (Accuracy rate: 100%) and the ANN model (Average relative error: 5.75%). FT-NIR spectroscopy combined with multivariate statistical analysis (MSA) may provide a novel answer to the fields which need for rapid microbial identification and it will have great prospect in industry.
|
Received: 2009-12-26
Accepted: 2010-03-28
|
|
Corresponding Authors:
YUE Tian-li
E-mail: yuetl@nwsuaf.edu.cn
|
|
[1] Maquelin K, Kirschner C, Choo-Smith L P, et al. Journal of Microbiological Methods, 2002, 51: 255. [2] Naumann D, Helm D, Labischinski H. Nature,1991,351:81. [3] Mariey L, Signolle J P, Amiel C, et al. Vibrational Spectroscopy, 2001, 26: 151. [4] Nauman D. Infrared Spectroscopy in Microbiology. In: Meyers R A(Ed.), Encyclopedia of Analytical Chemistry. Chichester: John Wiley and Sons Ltd., 2000. 102. [5] Curk M C, Peladan F, Hubert J C. FEMS Microbiology Letters, 1994, 123: 241. [6] Amiel C, Mariey L, Curk-Daubie M C, et al. Lait, 2000, 80: 445. [7] Maquelin K, Choo-Smith L P, van Vreeswijk T, et al. Analytical Chemistry, 2000, 72: 12. [8] Maquelin K, Kirschner C, Choo-Smith L P, et al. Journal of Clinical Microbiology, 2003, 41: 324. [9] Lopez-Diez E C, Goodacre R. Analytical Chemistry, 2004, 76: 585. [10] Rodriguez-Saona L E, Khambaty F M, Fry F S, et al. Journal of Agriculture and Food Chemistry, 2001, 49: 574. [11] Rodriguez-Saona L E, Khambaty F M, Fry F S, et al. Proceedings of Society of Photo-optical Instrumentation Engineers, 2001, 4206: 22. [12] Rodriguez-Saona L E, Khambaty F M, Fry F S, et al. Proceedings of Society of Photo-optical Instrumentation Engineers, 2002, 4574: 108. [13] Rodriguez-Saona L E, Khambaty F M, Fry F S, et al. Journal of Food Protection, 2004, 67: 2555. [14] Kansiz M, Heraud P, Wood B, et al. Photochemistry, 1999, 52: 407. [15] Archibald D D, Kays S E, Himmelsbach D S, et al. Applied Spectroscopy, 1998, 52: 22. [16] Ngo-Thi N A, Kirschner C, Naumann D. Journal of Molecular Structure, 2003, 661: 371. [17] Al-Haddad L, Morris C W, Boddy L. Journal of Microbiological Methods, 2000, 43: 33.
|
[1] |
HU Cai-ping1, HE Cheng-yu2, KONG Li-wei3, ZHU You-you3*, WU Bin4, ZHOU Hao-xiang3, SUN Jun2. Identification of Tea Based on Near-Infrared Spectra and Fuzzy Linear Discriminant QR Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3802-3805. |
[2] |
LUO Li, WANG Jing-yi, XU Zhao-jun, NA Bin*. Geographic Origin Discrimination of Wood Using NIR Spectroscopy
Combined With Machine Learning Techniques[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3372-3379. |
[3] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
[4] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[5] |
LIU Zhao1, 2, LI Hua-peng1, CHEN Hui1, 2, ZHANG Shu-qing1*. Maize Yield Forecasting and Associated Optimum Lead Time Research Based on Temporal Remote Sensing Data and Different Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2627-2637. |
[6] |
WANG Qiu, LI Bin, HAN Zhao-yang, ZHAN Chao-hui, LIAO Jun, LIU Yan-de*. Research on Anthracnose Grade of Camellia Oleifera Based on the Combined LIBS and Fourier Transform NIR Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1450-1458. |
[7] |
LI Xiao1, CHEN Yong2, MEI Wu-jun3*, WU Xiao-hong2*, FENG Ya-jie1, WU Bin4. Classification of Tea Varieties Using Fuzzy Covariance Learning
Vector Quantization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 638-643. |
[8] |
BAO Pei-jin1, CHEN Quan-li1, 3*, ZHAO An-di1, REN Yue-nan2. Identification of the Origin of Bluish White Nephrite Based on
Laser-Induced Breakdown Spectroscopy and Artificial
Neural Network Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 25-30. |
[9] |
LIU Feng-xiang, HE Shuai, ZHANG Li-hao, HUANG Xia, SONG Yi-zhi*. Application of Raman Spectroscopy in Detection of Pathogenic Microorganisms[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3653-3658. |
[10] |
WANG Dong-sheng1, WANG Hai-long1, 2, ZHANG Fang1, 3*, HAN Lin-fang1, 3, LI Yun1. Near-Infrared Spectral Characteristics of Sandstone and Inversion of Water Content[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3368-3372. |
[11] |
DUAN Hong-wei1, 2, GUO Mei3, ZHU Rong-guang3, NIU Qi-jian1, 2. LIBS Quantitative Analysis of Calorific Value of Straw Charcoal Based on XY Bivariate Feature Extraction Strategy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3435-3440. |
[12] |
ZHAO Zhi-lei1, 2, 3, 4,WANG Xue-mei1, 2, 3,LIU Dong-dong1, 2, 3,WANG Yan-wei1, 2, 3,GU Yu-hong5,TENG Jia-xin1,NIU Xiao-ying1, 2, 3, 4*. Quantitative Analysis of Soluble Solids and Titratable Acidity Content in Angeleno Plum by Near-Infrared Spectroscopy With BP-ANN and PLS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2836-2842. |
[13] |
DAI Lu-lu1, YANG Ming-xing1, 2*, WEN Hui-lin1. Study on Chemical Compositions and Origin Discriminations of Hetian Yu From Maxianshan, Gansu Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1451-1458. |
[14] |
TAN Yang1, WU Xiao-hong2, 3*, WU Bin4, SHEN Yan-jun1, LIU Jin-mao1. Qualitative Analysis of Pesticide Residues on Chinese Cabbage Based on GK Improved Possibilistic C-Means Clustering[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1465-1470. |
[15] |
LI Jia-yi1, YU Mei1, LI Mai-quan1, ZHENG Yu2*, LI Pao1, 3*. Nondestructive Identification of Different Chrysanthemum Varieties Based on Near-Infrared Spectroscopy and Pattern Recognition Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1129-1133. |
|
|
|
|