High-sensitive smartphone-based raman system based on cloud network architecture
High-sensitive smartphone-based raman system based on cloud network architecture
Raman spectroscopy has been increasingly researched this year. Due to the high accuracy, fast speed, and nondestructive detection features of Raman spectroscopy, there are more and more application scenarios. In this paper, a smart phone Raman system is studied. By the optical path design and slit coupling technology, the sensitivity of the device is improved while the size of the spectrometer itself is reduced. In order to improve the detection speed and accuracy, a cloud network architecture is proposed. The spectrometer is integrated into the backside of a smart phone and the wireless communication function of the smart phone can be used to realize the connection with the cloud server. The device terminal is only responsible for collecting and uploading data to the cloud. Spectra are identified by the algorithm server. The result and the attributes files are then transmitted to the smart Raman terminal. The algorithm, database, and terminal equipment are separated from each other to facilitate the timely update of algorithms and databases.
cloud platform, Raman spectrometer, recognition algorithm, sensitivity, smart phone
Mu, Taotao
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Li, Su
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Feng, Huanhuan
8a8dff2a-ab1e-48ca-aaf4-23cde2a13a9c
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Wang, Bing
8412bb47-9857-48d5-a3c4-858052f562bc
Ma, Xing
e33cecd7-1a4c-4ebf-87d2-d1496a44bdd7
Guo, Jinhong
d65d7044-32c8-4028-a6b3-d221ad8bf006
Huang, Bill
887ae3cc-e8dc-4eb2-bd3c-96b01115a350
Zhu, Lianqing
25a69f03-9f57-4ba4-87e2-c8507a9fb5ed
7 May 2018
Mu, Taotao
da82e460-757d-444b-8b42-7f8d79f5b5d4
Li, Su
df0759e0-524b-4d84-8692-bdefeba211fc
Feng, Huanhuan
8a8dff2a-ab1e-48ca-aaf4-23cde2a13a9c
Zhang, Chengchen
abc47c06-4b99-4aed-be72-463f211e9dfa
Wang, Bing
8412bb47-9857-48d5-a3c4-858052f562bc
Ma, Xing
e33cecd7-1a4c-4ebf-87d2-d1496a44bdd7
Guo, Jinhong
d65d7044-32c8-4028-a6b3-d221ad8bf006
Huang, Bill
887ae3cc-e8dc-4eb2-bd3c-96b01115a350
Zhu, Lianqing
25a69f03-9f57-4ba4-87e2-c8507a9fb5ed
Mu, Taotao, Li, Su, Feng, Huanhuan, Zhang, Chengchen, Wang, Bing, Ma, Xing, Guo, Jinhong, Huang, Bill and Zhu, Lianqing
(2018)
High-sensitive smartphone-based raman system based on cloud network architecture.
IEEE Journal of Selected Topics in Quantum Electronics, 25 (1), [7200306].
(doi:10.1109/JSTQE.2018.2832661).
Abstract
Raman spectroscopy has been increasingly researched this year. Due to the high accuracy, fast speed, and nondestructive detection features of Raman spectroscopy, there are more and more application scenarios. In this paper, a smart phone Raman system is studied. By the optical path design and slit coupling technology, the sensitivity of the device is improved while the size of the spectrometer itself is reduced. In order to improve the detection speed and accuracy, a cloud network architecture is proposed. The spectrometer is integrated into the backside of a smart phone and the wireless communication function of the smart phone can be used to realize the connection with the cloud server. The device terminal is only responsible for collecting and uploading data to the cloud. Spectra are identified by the algorithm server. The result and the attributes files are then transmitted to the smart Raman terminal. The algorithm, database, and terminal equipment are separated from each other to facilitate the timely update of algorithms and databases.
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More information
Published date: 7 May 2018
Additional Information:
Funding Information:
Manuscript received March 31, 2018; revised April 22, 2018; accepted April 25, 2018. Date of publication May 7, 2018; date of current version June 8, 2018. This work was supported in part by the Beijing Information Science and Technology University Fund ( NO: 5221810908) and in part by the Shenzhen Peacock Innovation Project (KQJSCX20170726104623185). (Corresponding authors: JinHong Guo; Xing Ma; Bill Huang; Lianqing Zhu.) T. Mu and L. Zhu are with the Beijing Engineering Research Center of Optoelectronic Information and Instruments, Beijing Information Science and Technology University, Beijing 100016, China (e-mail:, mfjmtt@163. com; zhulianqing@sina.com).
Publisher Copyright:
© 1995-2012 IEEE.
Keywords:
cloud platform, Raman spectrometer, recognition algorithm, sensitivity, smart phone
Identifiers
Local EPrints ID: 482319
URI: http://eprints.soton.ac.uk/id/eprint/482319
ISSN: 0792-1233
PURE UUID: 42f115f4-f98d-4fea-980a-9641915d42c4
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Date deposited: 26 Sep 2023 16:52
Last modified: 18 Mar 2024 04:15
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Contributors
Author:
Taotao Mu
Author:
Su Li
Author:
Huanhuan Feng
Author:
Chengchen Zhang
Author:
Bing Wang
Author:
Xing Ma
Author:
Jinhong Guo
Author:
Bill Huang
Author:
Lianqing Zhu
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