|
|
|
|
|
|
Research Progress of Surface Enhanced Raman Spectroscopy in Quality and Safety Detection of Liquid Food |
SU Xin-yue1, MA Yan-li2, ZHAI Chen3, LI Yan-lei4, MA Qian-yun1, SUN Jian-feng1, WANG Wen-xiu1* |
1. College of Food Science and Technology, Hebei Agricultural University, Baoding 071000, China
2. Zhang Zhongjing School of Chinese Medicine, Nanyang Institute of Technology, Nanyang 473000, China
3. Nutrition and Health Research Institute, COFCO Corporation, Beijing Key Laboratory of Nutrition and Health and Food Safety, Beijing 102209,China
4. School of Mechanical and Electrical Engineering, Beijing Polytechnic College, Beijing 100042,China
|
|
|
Abstract Surface enhanced Raman spectroscopy (SERS) is a technique in which target molecules are adsorbed onto a nanometerrough metal surface, significantly enhancing the Raman signal. SERS has the advantages of high sensitivity, no interference from water, simple operation, rapidness, non-destructive testing and so on, and has become a research hotspot in food, chemistry, medical science and so on. Liquid food (e.g., milk, edible oil, drinks, honey, wine) is indispensable for human survival and daily life. The safety of liquid food is related to consumer's health and the enterprise's benefit, so it is very important to detect the safety of liquid food quickly and in real-time. Liquid food-related safety indicators such as antibiotic residues, pesticide residues, pigments, illegal additives, etc. Usually have strong Raman activity, and using the “fingerprint” characteristic of SERS technology, trace substances in liquid food can be quickly and accurately detected qualitatively and quantitatively. Compared with other spectroscopic techniques, the non-interference of water in SERS technology is simpler to detect and analyze the matrix of aqueous solution samples (e.g., milk, beverage and wine). It has more potential to realize online real-time detection of liquid food quality and safety, and it is a frontier analytical technique with great application potential and prospects in the field of liquid food quality and safety detection. This paper briefly describes the enhancement principles of SERS technology and summarizes the relevant SERS substrate research in the field of liquid food safety testing, and focuses on the application and research status of SERS technology in the field of liquid food quality detection, summarizes recent research work and progress in liquid food-related safety (e.g., lipid oxidation, antibiotic residues, pesticide residues, wine origin identification) in terms of sample pre-treatment methods, substrate types and detection limits; discusses the advantages and limitations of SERS technology, as well as the main challenges and future development prospects.
|
Received: 2022-05-26
Accepted: 2022-09-21
|
|
Corresponding Authors:
WANG Wen-xiu
E-mail: cauwwx@hebau.edu.cn
|
|
[1] WANG Lei,CUI Ya-juan,WANG Xin,et al(王 磊,崔亚娟,王 鑫,等). The Food Industry(食品工业),2019,40(3):276.
[2] WANG Li,LUO Hong-xia,JU Rong-hui,et al(王 丽,罗红霞,句荣辉,等). The Food Industry(食品工业),2014,35(10):227.
[3] HAO Fei-ke,LIU Rong,HAN Xing-lin,et al(郝飞克,刘 蓉,韩兴林,等). Journal of Food Science and Technology(食品科学技术学报),2019,37(2):10.
[4] WANG Ming,LIU Xin(王 明,刘 新). Laser Journal(激光杂志),2018,39(10):9.
[5] Manoj D,Shanmugasundaram S,Anandharamakrishnan C. Food Control,2021,126:108017.
[6] Dai H R,Liang S H,Shan D D,et al. Food Chemistry,2022,380:132176.
[7] Su W H,Sun D W. Food Engineering Reviews,2019,11(3):142.
[8] MA Xin(马 昕). Modern Food(现代食品),2020,(14):123.
[9] Nontipichet N,Khumngern S,Choosang J,et al. Food Chemistry,2021,364:130396.
[10] Li Y F,Lin Z Z,Hong C Y,et al. Food Chemistry,2021,345:128812.
[11] ZHANG Wei,GUO Dan,LAN Wei,et al(张 威,郭 丹,兰 伟,等). Journal of Food Safety & Quality(食品安全质量检测学报),2020,11(22):8533.
[12] WANG Hai-bo(王海波). Science and Technology of Food Industry(食品工业科技),2019,40(15):322.
[13] ZHAO Xing-tao,CHE Xian-ge,WANG Shu-tao,et al(赵兴涛,车先阁,王书涛,等). Acta Metrologica Sinica(计量学报),2021,42(9):1257.
[14] Kamal S,Yang T C-K. Journal of Alloys and Compounds,2021,898:162919.
[15] He J,Li H X,Zhang L L,et al. Food Chemistry,2021,339:128085.
[16] Janči T,Mikac L,Ivanda M,et al. Journal of Raman Spectroscopy,2017,48(01):64.
[17] Cuong N M,Cao D T,Thu V T,et al. Optik,2021,243:167504.
[18] Kaleem A,Azmat M,Sharma A,et al. Food Chemistry,2019,277:624.
[19] Li J F,Huang Y, Ding Y,et al. Nature,2010,464(7287):392.
[20] Tiwari M,Singh A,Dureja S,et al. Talanta,2022,236:122819.
[21] Li Y,Tang S S,Zhang W J,et al. Sensors and Actuators B: Chemical,2019,282:703.
[22] Wang T S,Wang H,Zhu A N,et al. Sensors and Actuators B: Chemical,2021,346:130591.
[23] Wali L A,Hasan K K,Alwan A M. Plasmonics,2020,15(4):985.
[24] Lam H Y,Roy P K,Chattopadhyay S. Vibrational Spectroscopy,2020,106:103018.
[25] Jiang Y F,Su M K,Yu T,et al. Food Chemistry,2021,344:128709.
[26] Li Y,Driver M,Decker E,et al. Food Research International,2014,58:1.
[27] Su M K,Jiang Q,Guo J H,et al. LWT—Food Science and Technology,2021,143:111143.
[28] TONG Rui,QI Ying,HU Xiao-peng,et al(佟 蕊,齐 颖,扈晓鹏,等). Journal of Chinese Institute of Food Science and Technology(中国食品学报),2019,19(6):223.
[29] Chen L M,Ma C Q,Li L,et al. Journal of Spectroscopy,2020,2020:4212787.
[30] Han C Q,YaoY,Wang W,et al. Sensors & Actuators B: Chemical,2017,251:272.
[31] KANG Yan,SUN Lin,WU Ting,et al(康 燕,孙 琳,吴 婷,等). Journal of Instrumental Analysis(分析测试学报),2020,39(2):246.
[32] LIN Shuang,HA Si-Wuliji,LIN Xiang,et al(林 爽,哈斯乌力吉,林 翔,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2016,36(6):1749.
[33] Ou Y M,Wang X H,Lai K Q,et al. Journal of Agricultural and Food Chemistry,2018,66(11):2954.
[34] Kong L L,Chen J,Huang M Z. Sensors and Actuators B: Chemical,2021,344:130163.
[35] MA Yong-qiang,ZHANG Si-yao,YU Shi-you,et al(马永强,张丝瑶,遇世友,等). Science and Technology of Food Industry(食品工业科技),1-18[2022-09-16]. doi: 10.13386/j.issn1002-0306.2021100020.
[36] SUN Wen,ZHANG Qin,SU Qian-qian(孙 文,张 芹,苏倩倩). Food Science and Technology(食品科技),2017,42(9):300.
[37] ZHANG Lu-tao,ZHOU Guang-ming,LUO Dan,et al(张璐涛, 周光明,罗 丹,等). Chemical Research in Chinese Universities(高等学校化学学报),2018,39(8):1662.
[38] Fá A G,Pignanelli F,Lopez-Corral I,et al. Trends in Analytical Chemistry,2019,121:115673.
[39] Song Y S,Huang Hai-C,Lu W H,et al. Food Chemistry,2021,344:128570.
[40] de Almeida M P,Leopold N,Franco R,et al. Frontiers in Chemistry,2019,7:00368.
[41] Leong Y X,Lee Y H,Koh C S L,et al. Nano Letters,2021,21(6):2642.
[42] Bao Q W,Zhao H,Zhang C,et al. Analytical Methods,2020,12(23):3025.
[43] Mandrile L,Cagnasso I,Berta L,et al. Food Chemistry,2020,326:127009.
[44] ZHENG Juan-mei,YU Wan-song,QIN Wen-xia,et al(郑娟梅, 余婉松, 覃文霞,等). Journal of Food Safety & Quality(食品安全质量检测学报),2018,9(21):5659.
[45] HU Jia-yong,ZHANG Man,PI Jiang-yi,et al(胡家勇,张 嫚,皮江一,等). Food Science(食品科学),2020,41(8):297.
|
[1] |
XING Hai-bo1, ZHENG Bo-wen1, LI Xin-yue1, HUANG Bo-tao2, XIANG Xiao2, HU Xiao-jun1*. Colorimetric and SERS Dual-Channel Sensing Detection of Pyrene in
Water[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 95-102. |
[2] |
LU Wen-jing, FANG Ya-ping, LIN Tai-feng, WANG Hui-qin, ZHENG Da-wei, ZHANG Ping*. Rapid Identification of the Raman Phenotypes of Breast Cancer Cell
Derived Exosomes and the Relationship With Maternal Cells[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3840-3846. |
[3] |
GUO He-yuanxi1, LI Li-jun1*, FENG Jun1, 2*, LIN Xin1, LI Rui1. A SERS-Aptsensor for Detection of Chloramphenicol Based on DNA Hybridization Indicator and Silver Nanorod Array Chip[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3445-3451. |
[4] |
LI Wen-wen1, 2, LONG Chang-jiang1, 2, 4*, LI Shan-jun1, 2, 3, 4, CHEN Hong1, 2, 4. Detection of Mixed Pesticide Residues of Prochloraz and Imazalil in
Citrus Epidermis by Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3052-3058. |
[5] |
ZHAO Ling-yi1, 2, YANG Xi3, WEI Yi4, YANG Rui-qin1, 2*, ZHAO Qian4, ZHANG Hong-wen4, CAI Wei-ping4. SERS Detection and Efficient Identification of Heroin and Its Metabolites Based on Au/SiO2 Composite Nanosphere Array[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3150-3157. |
[6] |
ZHAO Yu-wen1, ZHANG Ze-shuai1, ZHU Xiao-ying1, WANG Hai-xia1, 2*, LI Zheng1, 2, LU Hong-wei3, XI Meng3. Application Strategies of Surface-Enhanced Raman Spectroscopy in Simultaneous Detection of Multiple Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2012-2018. |
[7] |
CHENG Chang-hong1, XUE Chang-guo1*, XIA De-bin2, TENG Yan-hua1, XIE A-tian1. Preparation of Organic Semiconductor-Silver Nanoparticles Composite Substrate and Its Application in Surface Enhanced Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2158-2165. |
[8] |
LI Chun-ying1, WANG Hong-yi1, LI Yong-chun1, LI Jing1, CHEN Gao-le2, FAN Yu-xia2*. Application Progress of Surface-Enhanced Raman Spectroscopy for
Detection Veterinary Drug Residues in Animal-Derived Food[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1667-1675. |
[9] |
HUANG Xiao-wei1, ZHANG Ning1, LI Zhi-hua1, SHI Ji-yong1, SUN Yue1, ZHANG Xin-ai1, ZOU Xiao-bo1, 2*. Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering Labeling Immunoassay[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1478-1484. |
[10] |
LU Yan-hua, XU Min-min, YAO Jian-lin*. Preparation and Photoelectrocatalytic Properties Study of TiO2-Ag
Nanocomposites[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1112-1116. |
[11] |
WANG Yi-tao1, WU Cheng-zhao1, HU Dong1, SUN Tong1, 2*. Research Progress of Plasticizer Detection Based on Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1298-1305. |
[12] |
LI Wei1, 2, HE Yao1, 2, LIN Dong-yue2, DONG Rong-lu2*, YANG Liang-bao2*. Remove Background Peak of Substrate From SERS Signals of Hair Based on Gaussian Mixture Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 854-860. |
[13] |
HAN Xiao-long1, LIN Jia-sheng2, LI Jian-feng2*. SERS Analysis of Urine for Rapid Estimation of Human Energy Intake[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(02): 489-494. |
[14] |
HE Yao1, 2, LI Wei1, 2, DONG Rong-lu2, QI Qiu-jing3, LI Ping5, LIN Dong-yue2*, MENG Fan-li4, YANG Liang-bao2*. Surface Enhanced Raman Spectroscopy Analysis of Fentanyl in Urine Based on Voigt Line[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 85-92. |
[15] |
GU Yi-fan1, LIAN Shuai1, GAO Xun1*, SONG Shao-zhong2*, LIN Jing-quan1. Effect of Au Polymer Adsorption Sites on Surface Enhanced Raman Spectroscopy of Amitrole Molecule[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3709-3713. |
|
|
|
|