| 光谱学与光谱分析 |
|
|
|
|
|
| Noninvasive Measurement of Serum Total Protein Content by Near-Infrared Reflection Spectra with Tongue Inspection |
| LIN Ling1, LI Zhe1, LI Xiao-xia2, LI Yong-cheng1, LI Gang1, ZHANG Bao-ju3, SONG Wei3* |
1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China
2. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China
3. College of Physics & Electronic Information, Tianjin Normal University, Tianjin 300387, China |
|
|
|
|
Abstract The technology of tongue near-infrared reflectance spectra was used for human serum total protein (TP) content of noninvasive testing for the first time. Reflectance spectrum on the tongue tips of 58 volunteers was collected, and the biochemical values of serum total protein were recorded at the same time. The samples were separated into two parts: training set and prediction set. Two prediction models were established using PCA combined with BP neural network and PLS. Using PCA-BP model to predict the prediction set, the average relative error is 7.35%, RMSEP was 6.377 1 g·L-1, and the correlation coefficient was 0.902 1. Using PLS model to predict the prediction set, the average relative error is 4.77%, RMSEP was 0.130 4 g·L-1, and the correlation coefficient was 0.971 8. It was approved that reflectance spectra of tongue can be used to predict TP accurately and noninvasively.
|
|
Received: 2011-12-07
Accepted: 2012-03-20
|
|
|
|
Corresponding Authors:
SONG Wei
E-mail: thinksw@163.com
|
|
[1] SHI Ji-yong, ZOU Xiao-bo, ZHAO Jie-wen(石吉勇, 邹小波, 赵杰文). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2011, 30(5): 458.
[2] TIAN Qing-ping, ZHANG Zhong-xing, WANG Bang-de, et al(田庆平, 张中兴, 王帮德, 等). Journal of Beijing Sport University(北京体育大学学报), 2011, 34(1): 58.
[3] PENG Pan, LIN Hui, DU Ru-xu(彭 攀, 林 慧, 杜如虚). Computers and Applied Chemistry(计算机与应用化学), 2011, 28(3): 307.
[4] ZHANG Ju-hua, ZHU Xiang-rong, LI Gao-yang, et al(张菊华, 朱向荣, 李高阳, 等). Chinese Journal of Analytical Chemistry(分析化学研究简报), 2011, 39(5): 748.
[5] SUN Lai-jun, WANG Le-kai, QIAN Hai-bo, et al(孙来军, 王乐凯, 钱海波, 等). Chinese Agricultural Science Bulletin(中国农学通报), 2011, 27(03): 35.
[6] LIAO Xiao-hua, WANG Ying, CHEN Rong, et al(廖小华, 王 颖, 陈 荣, 等). Laser & Optoelectronics Progress(激光与光电子学进展), 2008, 45(1): 24.
[7] LI Zeng-yong, WANG Yan, XIN Qing, et al(李增勇, 王 岩, 辛 青, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2011, 31(6): 1490.
[8] ZOU Bo(邹 波). Infrared(红外), 2009, 30(8): 44.
[9] Kim J, Lim Yumi. Journal of Clinical Microbiology, 2005, 43(5): 2452.
[10] RONG Li-li, HUANG Yu-jun, WU Shao-guo(容莉莉, 黄钰君, 伍绍国). Chinese Journal of Misdiagn(中国误诊学杂志), 2010, 10(34): 8328.
[11] GUO Rui, WANG Yi-qin, YAN Jian-jun(郭 睿, 王忆勤, 颜建军). Chinese Journal of Integrative Medicine(中国中西医结合杂志), 2009, 29(7): 642.
[12] WANG Ming-ying, ZHANG Xin-feng, ZHUO Li(王明英, 张新峰, 卓 力). Measurement & Control Techniques(测控技术), 2011, 30(5): 32.
[13] KONG Meng, ZENG Chang-chun, LIU You-zhang(孔 猛, 曾常春, 刘友章). Journal of Chinese Integrative Medicine(中西医结合学报), 2011, 9(1): 29.
[14] Satoshi Yamamoto, Norimichi Tsumura, Toshiya Nakaguchi. International Journal of Computer Assisted Radiology and Surgery, 2011, 6: 209.
[15] LIU Ke(刘 柯). Progress in Geography(地理科学进展), 2007, 26(6): 129. |
| [1] |
LI Hu1, ZHONG Yun1, 2, FENG Ya-ting1, LIN Zhen1, ZHU Shi-jiang1, 2*. Multi-Vegetation Index Soil Moisture Inversion Model Based on UAV
Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 207-214. |
| [2] |
HE Qing-yuan1, 2, REN Yi1, 2, LIU Jing-hua1, 2, LIU Li1, 2, YANG Hao1, 2, LI Zheng-peng1, 2, ZHAN Qiu-wen1, 2*. Study on Rapid Determination of Qualities of Alfalfa Hay Based on NIRS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3753-3757. |
| [3] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
| [4] |
LUO Dong-jie, WANG Meng, ZHANG Xiao-shuan, XIAO Xin-qing*. Vis/NIR Based Spectral Sensing for SSC of Table Grapes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2146-2152. |
| [5] |
ZHOU Qi1, 2, WANG Jian-jun1, 2*, HUO Zhong-yang1, 2*, LIU Chang1, 2, WANG Wei-ling1, 2, DING Lin3. UAV Multi-Spectral Remote Sensing Estimation of Wheat Canopy SPAD Value in Different Growth Periods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1912-1920. |
| [6] |
ZHANG Fu1, 2, 3, CAO Wei-hua1, CUI Xia-hua1, WANG Xin-yue1, FU San-ling4*, ZHANG Ya-kun1. Non-Destructive Detection of Soluble Solids in Cherry Tomatoes by
Visible/Near Infrared Spectroscopy Based on SG-CARS-IBP[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 737-743. |
| [7] |
ZHU Chen-guang1, LIU Ya-jun2, LI Xin-xing1, 3, GONG Wei-wei4*, GUO Wei1. Detection Method of Freshness of Penaeus Vannamei Based on
Hyperspectral[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 107-110. |
| [8] |
LIU Meng-xuan1, 2, 3, 4, WU Qiong5, WANG Xu-quan1, 2, 4, CHEN Qi5, ZHANG Yong-gang1, 2, HUANG Song-lei1, 2*, FANG Jia-xiong1, 2*. Validity and Redundancy of Spectral Data in the Detection Algorithm of Sucrose-Doped Content in Tea[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3647-3652. |
| [9] |
LI Zi-zhao, BI Shou-dong, CUI Yu-huan, HAO Shuang*. Comparison of Forest Stock Volume Inversion Methods Coupled With Multiple Features——A Case Study of Forest in Yarlung Zangbo River Basin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3263-3268. |
| [10] |
WU Meng-ruo, QIN Zhen-fang, HAN Liu-yang, HAN Xiang-na*. Preparation and Spectra Study of Artificially Degraded Waterlogged Wood[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(09): 2941-2946. |
| [11] |
XU Liang-ji1, 2, MENG Xue-ying2, WEI Ren2, ZHANG Kun2. Experimental Research on Coal-Rock Identification Method Based on
Visible-Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2135-2142. |
| [12] |
JIANG Xiao-yu1, 2, LI Fu-sheng2*, WANG Qing-ya1, 2, LUO Jie3, HAO Jun1, 2, XU Mu-qiang1, 2. Determination of Lead and Arsenic in Soil Samples by X Fluorescence Spectrum Combined With CARS Variables Screening Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1535-1540. |
| [13] |
YU Yue, YU Hai-ye, LI Xiao-kai, WANG Hong-jian, LIU Shuang, ZHANG Lei, SUI Yuan-yuan*. Hyperspectral Inversion Model for SPAD of Rice Leaves Based on Optimized Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1092-1097. |
| [14] |
ZHAO Jing1, MA Bei1, LIU Ming2*, LIU Zhen-zhen1, LI Gang3, LI Zhe4, WANG Yi-min1*. Study on Screening of Hypertension Complicated With Coronary Heart Disease Based on Tongue Hyperspectral Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 512-516. |
| [15] |
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-. |
|
|
|
|
