4.6 Article

Study of 2,4-D Spectral Characteristics and Its Detection in Zizania Latifolia Using Terahertz Time-Domain Spectroscopy

Journal

APPLIED SCIENCES-BASEL
Volume 9, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/app9112248

Keywords

Terahertz time-domain spectroscopy; 2; 4-dichlorophenoxyacetic acid; density functional theory; quantitative analysis; Zizania latifolia

Funding

  1. National key research and development plan [2018YFD0700704]

Ask authors/readers for more resources

Featured Application Identification and detection of pesticide residues in crops. Abstract 2,4-Dichlorophenoxyacetic acid (2,4-D) is a common plant growth regulator, which can remain in food and, with long-term consumption, threaten human health. Therefore, it is necessary to propose an effective detection method. Terahertz time-domain spectroscopy technique (THz-TDS) has good advantages in the quantitative and qualitative analysis of most biomolecules due to its rich fingerprint characteristics. In this paper, density functional theory (DFT) was applied to geometry optimization and frequency vibration calculation of 2,4-D, and THz-TDS was used to quantitatively detect 2,4-D in Zizania latifolia. The results showed that there were three characteristic absorption peaks of 2,4-D at 1.36, 1.60, and 2.38 THz, respectively, and the theoretical spectra were in good consistency with experimental spectra, with slight discrepancies. Additionally, the absorption peak at 1.36 THz had the best absorption characteristics and was chosen as the main peak for 2,4-D quantitative analysis. It was demonstrated that the limits of detection (LOD) of 2,4-D in Zizania latifolia were found to be as low as 5%, the absorbance intensity at 1.36 THz showed a good linear relationship (R-2 = 0.9854) with 2,4-D concentration from 5% to 30%, and the recovery was 93.29%-98.75%. Overall, this work enriched the fingerprint database of pesticide molecules on the basis of terahertz spectroscopy and could provide a technical support for the detection of 2,4-D in food by terahertz spectroscopy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Environmental Sciences

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies

Lei Feng, Weikang Wu, Junmin Wang, Chu Zhang, Yiying Zhao, Susu Zhu, Yong He

REMOTE SENSING (2019)

Article Biochemistry & Molecular Biology

Feasibility of Laser-Induced Breakdown Spectroscopy and Hyperspectral Imaging for Rapid Detection of Thiophanate-Methyl Residue on Mulberry Fruit

Di Wu, Liuwei Meng, Liang Yang, Jingyu Wang, Xiaping Fu, Xiaoqiang Du, Shaojia Li, Yong He, Lingxia Huang

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)

Article Biochemistry & Molecular Biology

Gold Nanoparticles with Different Particle Sizes for the Quantitative Determination of Chlorpyrifos Residues in Soil by SERS

Yong He, Shupei Xiao, Tao Dong, Pengcheng Nie

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)

Article Biochemistry & Molecular Biology

Analysis of Sildenafil in Liquor and Health Wine Using Surface Enhanced Raman Spectroscopy

Shupei Xiao, Yong He

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2019)

Article Computer Science, Information Systems

Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests

Yong He, Hong Zeng, Yangyang Fan, Shuaisheng Ji, Jianjian Wu

MOBILE INFORMATION SYSTEMS (2019)

Article Biochemistry & Molecular Biology

Variety Identification of Orchids Using Fourier Transform Infrared Spectroscopy Combined with Stacked Sparse Auto-Encoder

Yunfeng Chen, Yue Chen, Xuping Feng, Xufeng Yang, Jinnuo Zhang, Zhengjun Qiu, Yong He

MOLECULES (2019)

Article Chemistry, Analytical

Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment

Qiwei Guo, Yayong Chen, Yu Tang, Jiajun Zhuang, Yong He, Chaojun Hou, Xuan Chu, Zhenyu Zhong, Shaoming Luo

SENSORS (2019)

Article Environmental Sciences

Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm

Alwaseela Abdalla, Haiyan Cen, Elfatih Abdel-Rahman, Liang Wan, Yong He

REMOTE SENSING (2019)

Article Chemistry, Multidisciplinary

Application of Machine Learning Method to Quantitatively Evaluate the Droplet Size and Deposition Distribution of the UAV Spray Nozzle

Han Guo, Jun Zhou, Fei Liu, Yong He, He Huang, Hongyan Wang

APPLIED SCIENCES-BASEL (2020)

Article Food Science & Technology

Discrimination of Grape Seeds Using Laser-Induced Breakdown Spectroscopy in Combination with Region Selection and Supervised Classification Methods

Yong He, Yiying Zhao, Chu Zhang, Yijian Li, Yidan Bao, Fei Liu

FOODS (2020)

Article Chemistry, Multidisciplinary

Application of near-infrared hyperspectral imaging to identify a variety of silage maize seeds and common maize seeds

Xiulin Bai, Chu Zhang, Qinlin Xiao, Yong He, Yidan Bao

RSC ADVANCES (2020)

No Data Available