JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
·
2017
·Vol. 33
·期 2
·161-167
·
IF 3.379
Huimin Yu,Chengbin Zheng,Xiaoming Jiang,Xi Wu,Xiandeng Hou
Sulfur dioxide (SO2) is used as a universal additive to wine due to its excellent antioxidative, antimicrobic, and anti-brown characteristics and also because it is the product of natural fermentation of grapes. The concentration of SO2 in wine is strictly regulated since SO2 at high concentrations can damage tissues, organs, and various systems of human beings. In this study, an atomic fluorescence spectrometer (AFS) was used for the determination of SO2 by measuring its molecular fluorescence signal excited by a zinc hollow cathode lamp (Zn HCL, 213.8 nm) under simple and mild conditions without igniting the atomizer. The instrumental settings were first optimized by detecting gaseous SO2 prepared in advance. Under the optimal conditions, the instrumental limit of detection (LOD) for SO2 was found to be 0.17 μg, and the relative standard deviation (RSD) of 200 μg SO2 was 1.3%. The method was developed for determining the total SO2 in wine samples extracted by sodium hydroxide and generated in the form using sulfuric acid. The LOD of 0.79 μg mL−1 for this method was achieved for the total SO2 analysis of wine samples with a 5.2% RSD at a concentration level of 30 μg mL−1. The advantages of this method are simplicity, high throughput, less interference, relatively low cost, and less chemical consumption.
研究领域:
食品科学
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分析化学
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DOI
高影响因子
Science Advances
·
2025
·Vol. 11
·期 20
·
IF 12.5
Gongyuan Zhang,Tom Albrow-Owen,Wenjun Peng,Xin Liang,Xianming Zhang,Pan Wang,Dawei Di,Shurong Dong,Jikui Luo,Guo Wang,Hongfeng Mu,Qian Zhao,Xuhan Guo,Qi Jie Wang,Tawfique Hasan,Zongyin Yang
The evolution of miniaturized spectroscopic tools is pivotal for expanding the application of spectral data across scientific, industrial, and consumer domains. Recent advancements in computationally augmented systems have dramatically reduced device form factors toward those compatible with consumer tech integration. However, for a commercial reality, most applications demand operation across visible to short-wave infrared (SWIR) range. In this regard, existing miniaturized devices are either constrained by physical properties; use complex, costly, or unscalable fabrication techniques; or require multiple components to address separate parts of the spectrum. Here, we report on a low-cost, visible to SWIR, miniaturized spectrometer design enabled by a mass-producible, nonlithographic method of engineering planar dispersive elements from widely available plastics. By deforming shape memory epoxies, we encode spectral information, which is processed by a complementary metal oxide semiconductor sensor array and reconstructed via algorithms. This design offers broadband capability from 400 to 1600 nanometers and enables line-scanning spectral imaging, paving the way for affordable spectrometers.
研究领域:
光学工程
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材料科学
·
计算机科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Light-Science & Applications
·
2023
·Vol. 12
·期 1
·1-10
·
IF 19.4
Li Yanhao,Jiang Xiong,Chen Yimu,Wang Yuhan,Wu Yunkai,Yu De,Wang Kaiyang,Bai Sai,Xiao Shumin,Song Qinghai
Acquiring real-time spectral information in point-of-care diagnosis, internet-of-thing, and other lab-on-chip applications require spectrometers with hetero-integration capability and miniaturized feature. Compared to conventional semiconductors integrated by heteroepitaxy, solution-processable semiconductors provide a much-flexible integration platform due to their solution-processability, and, therefore, more suitable for the multi-material integrated system. However, solution-processable semiconductors are usually incompatible with the micro-fabrication processes. This work proposes a facile and universal platform to fabricate integrated spectrometers with semiconductor substitutability by unprecedently involving the conjugated mode of the bound states in the continuum (conjugated-BIC) photonics. Specifically, exploiting the conjugated-BIC photonics, which remains unexplored in conventional lasing studies, renders the broadband photodiodes with ultra-narrowband detection ability, detection wavelength tunability, and on-chip integration ability while ensuring the device performance. Spectrometers based on these ultra-narrowband photodiode arrays exhibit high spectral resolution and wide/tunable spectral bandwidth. The fabrication processes are compatible with solution-processable semiconductors photodiodes like perovskites and quantum dots, which can be potentially extended to conventional semiconductors. Signals from the spectrometers directly constitute the incident spectra without being computation-intensive, latency-sensitive, and error-intolerant. As an example, the integrated spectrometers based on perovskite photodiodes are capable of realizing narrowband/broadband light reconstruction and in-situ hyperspectral imaging.
研究领域:
光学工程
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半导体器件
·
生物医学光子学
✓ 已验证
DOI
高影响因子
Advanced Photonics Nexus
·
2024
·
IF 0
Wenkai Ma,Qian Xue,Yang Yang,Hanqiu Zhang,Daoli Zhang,Xinzheng Lan,Liang Gao,Jianbing Zhang,Jiang Tang
Since the concept of computational spectroscopy was introduced, numerous computational spectrometers have emerged. While most of the work focuses on materials, optical structures, and devices, little attention is paid to the reconstruction algorithm, thus resulting in a common issue: the effectiveness of spectral reconstruction is limited under high-level noise originating from the data acquisition process. Here, we fabricate a computational spectrometer based on a quantum dot (QD) filter array and propose what we believe is a novel algorithm, TKVA (algorithm with Tikhonov and total variation regularization, and the alternating direction method of multipliers), to suppress the impact of noise on spectral recovery. Surprisingly, the new TKVA algorithm gives rise to another advantage, i.e., the spectral accuracy can be enhanced through interpolation of the precalibration data, providing a convenient solution for performance improvement. In addition, the accuracy of spectral recovery is also enhanced via the interpolation, highlighting its superiority in spectral reconstruction. As a result, the QD spectrometer using the TKVA algorithm shows supreme spectral recovery accuracy compared to the traditional algorithms for complex and broad spectra, a spectral accuracy as low as 0.1 nm, and a spectral resolution of 2 nm in the range of 400 to 800 nm. The new reconstruction algorithm can be applied in various computational spectrometers, facilitating the development of this kind of equipment.
研究领域:
光学工程
·
仪器科学与技术
·
信号处理
✓ 已验证
DOI
Remote Sensing
·
2024
·Vol. 16
·期 5
·820
·
IF 4.2
Yiheng Liu,Changqing Liu,Yanqing Xin,Ping Liu,Ayang Xiao,Zongcheng Ling
With the development of technology and methodologies, Raman spectrometers are becoming efficient candidate payloads for planetary materials characterizations in deep space exploration missions. The National Aeronautics and Space Administration (NASA) already deployed two Raman instruments, Super Cam and SHERLOC, onboard the Perseverance Rover in the Mars 2020 mission. In the ground test, the SHERLOC team found an axial offset (~720 μm) between the ACI (Autofocus Context Imager) and the spectrometer focus, which would obviously affect the acquired Raman intensity if not corrected. To eliminate this error and, more importantly, simplify the application of Raman instruments in deep space exploration missions, we propose an automatic focusing method wherein Raman signals are optimized during spectrum collection. We put forward a novel method that is realized by evaluating focus conditions numerically and searching for the extremum point as the final focal point. To verify the effectiveness of this method, we developed an Auto-focus Raman Probe (SDU-ARP) in our laboratory. This method provides a research direction for scenarios in which spectrometers cannot focus on a target using any other criterion. The utilization of this auto-focusing method can offer better spectra and fewer acquisitions in focusing procedure, and the spectrometer payload can be deployed in light-weight bodies (e.g., asteroids) or in poor illumination conditions (e.g., the permanently shadowed region in the Lunar south polar area) in deep space exploration missions.
研究领域:
天文学
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仪器科学
·
空间科学
✓ 已验证
DOI
高影响因子
ANALYTICAL CHEMISTRY
·
2023
·
IF 7.4
Weicheng Cai,Hui Huang,Zhaolin Li,Xuejing Li,Jianchao Fan,Shuo Zhang,Guojin Feng,Jing Chen
Fluorescence spectrometer (FS) is widely used for component analysis because each fluorescing material has its own characteristic spectrum. However, the spectral calibration is complicated and bulky. Herein, an in-line spectral calibration sheet (ISCS) was proposed in which a narrow band-pass filter and a linear variable filter (LVF) were integrated on a metal plate. By moving the ISCS, the transmitted excitation light power (TEP) as well as fluorescence spectrum can be seamlessly scanned, and the TEP can be used for in-line spectral calibration. A compact FS apparatus based on UV-LED excitation, metal capillary (MC) and ISCS was fabricated (i.e., ISCS-FS), and the ISCS-FS apparatus was applied to detect sodium humate in water. By employing TEP calibration, both the primary inner filter effect (PIFE) and the drift in the optical power of UV-LED can be simultaneously compensated. The linear correlation coefficient of signal concentration was improved from 0.89 to 0.998, and the relative standard deviation (RSD) of replicated detection was improved from 3 to 0.7%. A detection limit of concentration (DLC) of 1.3 μg/L was realized, which is 15-fold lower than that of a commercial FS apparatus (20 μg/L). The DLC is even comparable with that (0.5–4 μg/L) of commercial total organic carbon (TOC) analyzers, which are bulky and expensive. The linear correlation between the measurement results of ISCS-FS and commercial TOC analyzers can reach a good value of 0.94.
研究领域:
分析化学
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环境科学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
International Journal of Environmental Research and Public Health
·
2017
·Vol. 14
·期 10
·1163
·
IF 2.101
Fang Li,Anxiang Lu,Jihua Wang
A modeling method based on discrete wavelet transform (DWT) was introduced to analyze the concentration of chromium, copper, zinc, arsenic and lead in soil with a portable X-ray fluorescence (XRF) spectrometer. A total of 111 soil samples were collected and observed. Denoising and baseline correction were performed on each spectrum before modeling. The optimum conditions for pre-processing were denoising with Coiflet 3 on the 3rd level and baseline correction with Coiflet 3 on the 9th level. Calibration curves were established for the five heavy metals (HMs). The detection limits were compared before and after the application of DWT, the qualitative detection limits and the quantitative detection limits were calculated to be three and ten times as high as the standard deviation with silicon dioxide (blank), respectively. The results showed that the detection limits of the instrument using DWT were lower, and that they were below national soil standards; the determination coefficients (R2) based on DWT-processed spectra were higher, and ranged from 0.990 to 0.996, indicating a high degree of linearity between the contents of the HMs in soil and the XRF spectral characteristic peak intensity with the instrument measurement.Keywords:X-ray fluorescence;heavy metal;soil;wavelet transform
研究领域:
环境科学
·
分析化学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
ANALYST
·
2025
·
IF 3.3
Chen Zhang,Jiahui Zhu,Wenqi Ye,Xiaohong Liu,Ruishuang Zhuo,Chi Wang,Hong Liu,Wei Zhang
Organophosphorus pesticides (OPs) have been widely used in agricultural production. However, their potential harm to human health and the environment cannot be ignored. On-site detection of OPs in water is valuable for pollution source tracing and early warning of environmental pollution. We design an unmanned boat detection system equipped with a Raman spectrometer, which can achieve automated sampling and real-time detection of OPs in water. The unmanned boat detection system integrates automatic sampling, chemical reaction, spectral detection, and signal transmission modules. This method can specifically detect OPs in water by utilizing the inhibition effect of OPs on acetylcholinesterase activity. The minimum detection concentration is 700 nM for parathion-methyl. This method shows good anti-interference ability for other kinds of pesticides, demonstrating its applicability for rapid detection of OPs under complex water environmental conditions. Our strategy provides an efficient solution for real-time and flexible monitoring of OPs in water environments.
研究领域:
环境科学
·
分析化学
·
生物学
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Nanophotonics
·
2024
·
IF 6.5
Peihan Sun,Xiangmin Hu,Shuhao Yuan,Yanyan Peng,Tingfa Xu,Haizheng Zhong
Miniature spectrometer is powerful tool for scientific research and industrial inspection. Here, we report the fabrication of graded perovskite filters with tunable bandgap and their application in constructing miniature spectrometer. The graded perovskite filters were fabricated using a Finkelstein reaction between in-situ formed halogen ion with a preformed MAPbX 3 film. The graded bandgap of perovskite films can be well tunned from 400 to 750 nm by controlling the volume ratio between 5,5-dimethyl-1-pyrroline N -oxide and benzyl chloride(bromide). By combining a deep residual network, graded bandgap perovskite film and commercial CMOS sensor chip, a miniature spectrometer is demonstrated, achieving an accurate spectrum reconstruction (PSNR = 40.749) with monochromatic spectral resolution of 1.31 nm.
研究领域:
材料科学
·
光学工程
·
人工智能应用
✓ 已验证
产品关联
DOI
PubMed
高影响因子
MICROCHEMICAL JOURNAL
·
2023
·
IF 4.8
Kaiqiang Wang,Zilin Yue,Hong Lin,Qi Wang,Lei Wang,Ye Tian,Lihui Ren
Freshness is a key indicator for assessing the nutritional and safety qualities of fish products. This study aims to apply the convolutional neural network (CNN) for modeling the Raman spectra data, for the rapid classification of the freshness grades of sea bass ( Lateolabrax japonicus ) fillets. Results suggested that the classification accuracy of CNN model was superior to principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and support vector machine (SVM) based on Raman spectra data. In addition, analysis of variance (ANOVA) was demonstrated effective for extracting the Raman spectral features for CNN modeling. Based on the feature-selected CNN model using ANOVA, the average accuracy for identifying sea bass fillets freshness was improved to 90.6% and the testing time was reduced to 0.44 s. In particular, the classification accuracy for the second-grade freshness was significantly improved to 80.2% compared with the CNN model with full-band Raman spectra. This research provided an exemplar for combining the portable Raman spectrometer with deep learning for the rapid and non-destructive analysis of food quality.
研究领域:
食品科学
·
机器学习
·
光谱学
✓ 已验证
产品关联
DOI
高影响因子
MATERIALS CHEMISTRY AND PHYSICS
·
2022
·
IF 4.778
Dan Zhao,Mengyu Xu,Kang Dai,Huan Liu,Yan Jiao,Xincai Xiao
Chirality is one of the most widespread properties in nature. After the successful application of non-optical active carbon dots (CDs) in the fields of detection, imaging, and antibacterial, the researchers turned more attention to the preparation and applications of chiral CDs. This paper reports the preparation of several chiral CDs with chiral amino acids as carbon sources through two different methods (one-step hydrothermal route and two-step coupling route), and further explores the difference in antibacterial abilities of these chiral CDs prepared by different carbon sources and synthesis methods. The experiments results showed that chiral D/LGU which are prepared through one-step method and with glutamic acid (Glu), are superior to those prepared by two-step method (NLDU/NDGU), or those prepared with cysteine as raw material (D/LCS). For D/LCS, the antibacterial ability of the L type is superior to that of the D type, proving that the synthesis method and the chirality of raw material are both important in the antibacterial behavior of prepared CDs. The chirality and optical properties of prepared CDs have been characterized by UV–vis spectrophotometer , fluorescence spectrology, and circular dichroism. Through MurA enzyme inhibition tests, SEM, and molecular docking design, the antibacterial mechanism of chiral CDs has been investigated. The research provides a sound foundation for the preparation, characterization, and application of chiral CDs, as well as the novel targeting antibacterial applications.
研究领域:
材料科学
·
化学
·
生物学
·
纳米技术
✓ 已验证
产品关联
DOI
高影响因子
ANALYTICA CHIMICA ACTA
·
2021
·
IF 6.558
Shuqi Zhou,Liubing Kong,Xinyi Wang,Tao Liang,Hao Wan,Ping Wang
Citric acid (CA) has been considered as a biomarker of urolithiasis due to its vital suppression role in urinary stone formation. Most analytical methods for detecting CA are complicated and require expensive equipment. Herein, a colorimetric method based on sodium dodecylsulfate (SDS) modified AgNPs was presented for convenient and portable detection of CA in urine. By detecting the absorption of the solution color, the quantitative detection of CA can be achieved. The pH value of SDS-AgNPs, concentration of Al 3+ and incubation time were optimized. Under optimal conditions, the method has the detection range of 1–10 mg/L, with a limit of detection (LOD) of 0.21 mg/L. Moreover, a self-developed portable CD(Compact Disk)-spectrometer (CDs) was established for detecting CA with a LOD of 0.49 mg/L featuring high simplicity, low time cost and good portability. This method was also validated with good selectivity to CA. In addition, the artificial urine samples were also detected to verify the capability of the method and CDs. The results validated that the method integrating with the CDs can be a promising platform for citric acid detection that can be further used for early screening and prognostic monitoring of urolithiasis.
研究领域:
分析化学
·
医学诊断
·
纳米技术
✓ 已验证
DOI
高影响因子
危险品化学品经营许可证（带存储）