|
|
|
|
|
|
Chlorophyll Content Research of Haematococcus Pluvialis Based on Immersed Visible/Near-Infrared Spectroscopy |
ZHOU Hong, FANG Hui, PAN Jian, JIANG Lin-jun, HE Yong, SHAO Yong-ni* |
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
|
|
Abstract This article discusses the feasibility of immersed visible / near-infrared spectroscopy for rapidly detecting the content of haematococcus pluvialis chlorophyll. Combined with chemometrics methods, we chose the best pretreatment to predict the content of haematococcus pluvialis chlorophyll a and chlorophyll b. We compared the results of PLS modeling of full-wave band and the successive projections algorithm combined with PLS (SPA-PLS) modeling, and chose the better one for prediction. For chlorophyll a and b, SPA-PLS modeling was better than PLS modeling of full-wave band. The RPD value of chlorophyll a by SPA-PLS modeling reached 2.946 1 and that of chlorophyll b by SPA-PLS modeling was 1.902 3. Research showes that this method can predict the chlorophyll a, chlorophyll b content well through some pretreatments algorithms and modeling algorithms which can provide a new approach for detecting the content of chlorophyll a and chlorophyll b.
|
Received: 2016-03-21
Accepted: 2016-08-04
|
|
Corresponding Authors:
SHAO Yong-ni
E-mail: ynshao@zju.edu.cn
|
|
[1] ZHUANG Hui-ru, SHI Qiao-qin, LU Hai-sheng, et al(庄惠如,施巧琴,卢海声,等). Acta Hydrobiologica Sinica(水生生物学报), 2000, 24(3): 209.
[2] Orosa M, Valero J F, Herrero C, et al. Biotech. Lett., 2011, 23: 1079.
[3] HU Guang-rong, FAN Yong, LI Fu-li(胡光荣,范 勇,李福利). Amino Acids&Biotic Resources(氨基酸和生物资源), 2015, 37(4): 1.
[4] HAN Jian-gang, JING Yu-jing, LI Ping-ping(韩建刚,荆玉静,李萍萍). Jiangsu Agricultural Sciences(江苏农业科学), 2013, 41(1): 316.
[5] Ge Y, Thomasson J A. Transactions of the ASABE, 2016, 59(2): 435.
[6] Lokuhewage A U, Fujino T. Water Science & Technology, 2011, 63(63): 1203.
[7] ZHANG Jing, WEI Yu-chun, WANG Guo-xiang, et al(张 静,韦玉春,王国祥,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(5): 1297.
[8] Katrangi N, Kaplan L A, Stein E A. Journal of Lipid Research, 1984, 25(4): 400.
[9] Griffiths M J, Garcin C, van Hille R P, et al. Journal of Microbiological Methods, 2011, 85(2): 119.
[10] CHENG Chang-kuo, YANG Peng-cheng, LI Yan, et al(程长阔,杨鹏程,李 燕,等). Journal of Ocean Technology(海洋技术学报), 2015, 34(2): 69.
[11] ZHAO Song-wei, PENG Yan-kun, WANG Wei, et al(赵松玮,彭彦昆,王 伟,等). Journal of Food Safety&Quanlity(食品安全质量检测学报), 2012, 3(6): 580.
[12] Liu F, He Y. Food Chemistry, 2009, 115(4): 1430.
[13] ZENG Jiu-sun, LIU Xiang-guan, LUO Shi-hua, et al(曾九孙,刘祥官,罗世华,等). Journal of Zhejiang University·Science Edition(浙江大学学报·理学报), 2009, 36(1), 33.
[14] Ward A, Nielsen A L, Mller H. Sensors, 2011, 11(5): 4830. |
[1] |
HUANG Hua1, LIU Ya2, KUERBANGULI·Dulikun1, ZENG Fan-lin1, MAYIRAN·Maimaiti1, AWAGULI·Maimaiti1, MAIDINUERHAN·Aizezi1, GUO Jun-xian3*. Ensemble Learning Model Incorporating Fractional Differential and
PIMP-RF Algorithm to Predict Soluble Solids Content of Apples
During Maturing Period[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3059-3066. |
[2] |
WANG Lin, WANG Xiang*, ZHOU Chao, WANG Xin-xin, MENG Qing-hui, CHEN Yan-long. Remote Sensing Quantitative Retrieval of Chlorophyll a and Trophic Level Index in Main Seagoing Rivers of Lianyungang[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3314-3320. |
[3] |
CAI Jian-rong1, 2, HUANG Chu-jun1, MA Li-xin1, ZHAI Li-xiang1, GUO Zhi-ming1, 3*. Hand-Held Visible/Near Infrared Nondestructive Detection System for Soluble Solid Content in Mandarin by 1D-CNN Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2792-2798. |
[4] |
ZHANG Mei-zhi1, ZHANG Ning1, 2, QIAO Cong1, XU Huang-rong2, GAO Bo2, MENG Qing-yang2, YU Wei-xing2*. High-Efficient and Accurate Testing of Egg Freshness Based on
IPLS-XGBoost Algorithm and VIS-NIR Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1711-1718. |
[5] |
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. |
[6] |
SUN Xi-tong, FU Yun*, HAN Chun-xiao, FAN Yu-hua, WANG Tian-shu. An Inversion Method for Chlorophyll-a Concentration in Global Ocean Through Convolutional Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 608-613. |
[7] |
DAI Qian-cheng1, XIE Yong1*, TAO Zui2, SHAO Wen1, PENG Fei-yu1, SU Yi1, YANG Bang-hui2. Research on Fluorescence Retrieval Algorithm of Chlorophyll a Concentration in Nanyi Lake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3941-3947. |
[8] |
FENG Tian-shi1, 2, 3, PANG Zhi-guo1, 2, 3*, JIANG Wei1, 2, 3. Remote Sensing Retrieval of Chlorophyll-a Concentration in Lake Chaohu Based on Zhuhai-1 Hyperspectral Satellite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2642-2648. |
[9] |
ZHANG Fu1, 2, 3, CUI Xia-hua1, DING Ke4*, ZHANG Ya-kun1, WANG Yong-xian1, PAN Xiao-qing5. Study on the Influence of Different Pretreatment Methods on Gender Determination of Multiposition[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 434-439. |
[10] |
ZHANG Fu1, 2, 3, CUI Xia-hua1, ZHANG Ya-kun1, WANG Yong-xian1. Relationship Between Visible/Near Infrared Spectral Data and Fertilization Information at Different Positions of Hatching Eggs[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3064-3068. |
[11] |
LI Qing-xu1, WANG Qiao-hua1, 2*, MA Mei-hu3, XIAO Shi-jie1, SHI Hang1. Non-Destructive Detection of Male and Female Information of Early Duck Embryos Based on Visible/Near Infrared Spectroscopy and Deep Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1800-1805. |
[12] |
ZHANG Xu1, ZHANG Tian-gang2, MU Wei-song1, FU Ze-tian2,3, ZHANG Xiao-shuan2,3*. Prediction of Soluble Solids Content for Wine Grapes During Maturing Based on Visible and Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 229-235. |
[13] |
LIU Yan-de, ZHANG Yu, JIANG Xiao-gang, SUN Xu-dong, XU Hai, LIU Hao-chen. Detection on Firmness and Soluble Solid Content of Peach During Different Storage Days[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 243-249. |
[14] |
KANG Wen-cui, LIN Hao*, ZUO Min*, WANG Zhuo, DUAN Ya-xian, CHEN Quan-sheng, LIN Jin-jin. Quantitative Determination of the Number of Moldy Wheat Colonies Based on the Nanoscaled Colorimetric Sensor-Visible/Near Infrared Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1569-1574. |
[15] |
TANG Yun-feng1, 2, CHAI Qin-qin1, 2*, LIN Shuang-jie1, 2, HUANG Jie1, 2, LI Yu-rong1, 2, WANG Wu1, 2. Study on Detection System of Grape Seed Oil Adulteration Based on Visible/Near Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(01): 202-208. |
|
|
|
|