Carbon Nanodot-Neutral Red-Based Photometric and Fluorescence Sensing for Trace Detection of Nitrite in Water and Soil Using Smartphone

被引:15
作者
Das, Priyanka [1 ]
Biswas, Sritam [1 ]
Bhattacharya, Satya Sundar [2 ]
Nath, Pabitra [1 ]
机构
[1] Tezpur Univ, Dept Phys, Appl Photon & Nanophoton Lab, Tezpur 784028, Assam, India
[2] Tezpur Univ, Dept Environm Sci, Soil & Agrobioengn Lab, Tezpur 784028, Assam, India
关键词
FRET; photometric; fluorescence; carbon nanodots; neutral red; nitrite; smartphone; SENSITIVE DETECTION; SELECTIVE DETECTION; GREEN SYNTHESIS; QUANTUM DOTS; NITRATE; SENSOR; IONS; NITROGEN; PROBE; QUANTIFICATION;
D O I
10.1021/acsanm.1c03702
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Nitrite level estimation in soil and water bodies is critical to monitor the ecosystem of our environment and agricultural yield. Herein, we report a carbon nanodots (C-dots) and neutral red (NR)-based photometric and fluorescence mode sensing scheme using which trace detection of nitrite in water and soil has been done. The proposed scheme utilizes a handheld compact sensing platform developed on a smartphone. For the present sensing studies, the C-dots and NR act as donors and acceptors, respectively, in the frequency resonance energy transfer (FRET) process. The presence of nitrite in the C-dot-NR mixture affects the FRET process, which causes a decrease in the absorption wavelength conditions at 560 nm while increasing the fluorescence intensity at 563 nm upon excitation with a source of wavelength 375 nm. These variations have been correlated to quantify the concentration of the nitrite level in the medium. With the designed sensing system, variations of nitrite concentration from 0.1 to 3.0 mu g/mL have been measured with a high degree of accuracy. The designed sensor has been implemented to estimate the nitrite level of infield water and soil samples, and the experimental results are compared with the laboratory standard tools. With the advantages of being low-cost, field portable, and relatively convenient to handle, it is anticipated that the proposed smartphone sensor could emerge as a potential avenue for onsite assessment of other parameters of water and soil as well.
引用
收藏
页码:3265 / 3274
页数:10
相关论文
共 62 条
[21]   A dual-mode sensor for colorimetric and fluorescent detection of nitrite in hams based on carbon dots-neutral red system [J].
Hu, Xuetao ;
Shi, Jiyong ;
Shi, Yongqiang ;
Zou, Xiaobo ;
Tahir, Haroon Elrasheid ;
Holmes, Mel ;
Zhang, Wen ;
Huang, Xiaowei ;
Li, Zhihua ;
Xu, Yiwei .
MEAT SCIENCE, 2019, 147 :127-134
[22]   Fiber-Optic Volumetric Sensor Based on Beer-Lambert Principle [J].
Husain, Iftak ;
Choudhury, Amarjyoti ;
Nath, Pabitra .
IEEE SENSORS JOURNAL, 2013, 13 (09) :3345-3346
[23]   Design of a Smartphone Platform Compact Optical System Operational Both in Visible and Near Infrared Spectral Regime [J].
Hussain, Iftak ;
Bora, Anup Jyoti ;
Sarma, Dhrubanka ;
Ahamad, Kamal Uddin ;
Nath, Pabitra .
IEEE SENSORS JOURNAL, 2018, 18 (12) :4933-4939
[24]   Low-Cost, Robust, and Field Portable Smartphone Platform Photometric Sensor for Fluoride Level Detection in Drinking Water [J].
Hussain, Iftak ;
Ahamad, Kamal Uddin ;
Nath, Pabitra .
ANALYTICAL CHEMISTRY, 2017, 89 (01) :767-775
[25]   Water salinity detection using a smartphone [J].
Hussain, Iftak ;
Das, Munmun ;
Ahamad, Kamal Uddin ;
Nath, Pabitra .
SENSORS AND ACTUATORS B-CHEMICAL, 2017, 239 :1042-1050
[26]   UV resonance Raman spectroscopic detection of nitrate and nitrite in wastewater treatment processes [J].
Ianoul, A ;
Coleman, T ;
Asher, SA .
ANALYTICAL CHEMISTRY, 2002, 74 (06) :1458-1461
[27]  
International Council on Harmonisation, 2003, STAB TEST NEW DRUG S
[28]   A colorimetric nitrite detection system with excellent selectivity and high sensitivity based on Ag@Au nanoparticles [J].
Li, Tianhua ;
Li, Yonglong ;
Zhang, Yujie ;
Dong, Chen ;
Shen, Zheyu ;
Wu, Aiguo .
ANALYST, 2015, 140 (04) :1076-1081
[29]   Visual detection of nitrite in sausage based on a ratiometric fluorescent system [J].
Li, Wenting ;
Shi, Yongqiang ;
Hu, Xuetao ;
Li, Zhihua ;
Huang, Xiaowei ;
Holmes, Melvin ;
Gong, Yunyun ;
Shi, Jiyong ;
Zou, Xiaobo .
FOOD CONTROL, 2019, 106
[30]   Nitrite sensing based on the carbon dots-enhanced chemiluminescence from peroxynitrous acid and carbonate [J].
Lin, Zhen ;
Dou, Xiangnan ;
Li, Haifang ;
Ma, Yuan ;
Lin, Jin-Ming .
TALANTA, 2015, 132 :457-462