ACS Omega
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2022
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IF 4.132
Chenguang Yang,Jianqiang Yin,Liqin Wu,Qiuyu Zeng,Liwei Zhang
For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented. The results show that the gray value of single minerals and mixed minerals gradually decreases with the increase of their thickness and density. The greater the density of minerals, the smaller the gray value at the same thickness, and the same rule applies to different coal ranks. Via regression analysis methods, the values of the regression equation parameter a of pure minerals for graphite, quartz, kaolinite, and montmorillonite are 59.25, 65.69, 61.61, and 58.02 in the high-energy region, respectively. In the low-energy region, they are 174.95, 177.31, 186.95, and 161.81. For the regression equation parameter of mixed minerals in the form of two mixed minerals (graphite and quartz, kaolinite, or montmorillonite) and three kinds of mineral mixing (graphite–kaolinite and quartz; graphite–montmorillonite and quartz; graphite–kaolinite and montmorillonite), the gray values are 151.12, 156.00, 153.13,152.43, 152.98, and 151.98 in the high-energy region, respectively; in the low-energy region, they are 193.34, 201.34, 192.93, 191.26, 194.68, and 193.08. The phenomenon for the gray range of two kinds of single minerals locates in the range of mixed minerals that was formed from a single mineral observed after the regression equation of mixed mineral was verified by a single mineral, which agrees with the X-ray recognition pattern. In the end, as the density of coking coal, fat coal, and gas coal increases, the gray value decreases, which was in agreement with single- and mixed-mineral analyses.
研究领域:
矿业工程
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材料科学
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DOI
PubMed
高影响因子
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
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2022
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IF 2.731
Xuechun Yan,Mingbin Liu,Hongbo Li,Suqin Wang
Silver is widely used, but the pollution caused by silver ions is also a problem that cannot be ignored. Detection of heavy metal ions based on bulky and costly analytical instruments had been developed very maturely in the laboratory. At present, the main detection methods of silver ion concentration include inductively coupled plasma mass spectrometry, atomic absorption spectrometry and inductively coupled plasma/atomic emission spectrometry. However, these testing methods have many problems to be solved, such as the high of instruments, high operating cost, numerous operational requirements, long testing time and complex processing technology. Nowadays, with the rapid and powerful development of smartphone technology, the new analytical methods based on smartphones equipped with a camera are being carried in the certain applied ideas. Here, the paper introduces a hand-held detection platform smartphone-based that allows the quantification of silver(I) ions with the detection limit of 0.659 mM. The Colour Grab software of android smartphone was applied to obtain R, G, B values of the photo of Rhodamine B solution remaining fluorescence, and then calculated the corresponding grey values by grey formula. The detection platform based on smart phones has the characteristics of cost-effective design and simple operation, as well as high sensitivity and selectivity. Therefore, compared with other detection methods, this method can be widely and conveniently applied to the detection of silver ions in the environment.
研究领域:
环境科学
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分析化学
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DOI
高影响因子
MOLECULES
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2023
·Vol. 28
·期 5
·2253
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IF 4.6
Rui-Juan Xiong,Yun-Xiao Ren,Yong-Feng Cui,Shu-Feng Cai,Wan-Li He,Xiao-Tao Yuan
In this paper, based on high-throughput technology, polymer dispersed liquid crystals (PDLC) composed of pentaerythritol tetra (2-mercaptoacetic acid) (PETMP), trimethylolpropane triacrylate (TMPTA), and polyethylene glycol diacrylate (PEGD 600) were investigated in detail. A total of 125 PDLC samples with different ratios were quickly prepared using ink-jet printing. Based on the method of machine vision to identify the grayscale level of samples, as far as we know, it is the first time to realize high-throughput detection of the electro-optical performance of PDLC samples, which can quickly screen out the lowest saturation voltage of batch samples. Additionally, we compared the electro-optical test results of manual and high-throughput preparation PDLC samples and discovered that they had very similar electro-optical characteristics and morphologies. This demonstrated the viability of PDLC sample high-throughput preparation and detection, as well as promising application prospects, and significantly increased the efficiency of PDLC sample preparation and detection. The results of this study will contribute to the research and application of PDLC composites in the future.Keywords:high-throughput;polymer-dispersed liquid crystal;saturation voltage;grayscale value
研究领域:
材料科学
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光学工程
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DOI
PubMed
高影响因子
SENSORS AND ACTUATORS B-CHEMICAL
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2022
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IF 9.221
Ke Ning,Huihui Chai,Yanxia Cui,Shiming Wu,Feng Chen,Yuan Li,Ping Qiu,Wei Sun,Ling Yu
Elevating blood ß 2 microglobulins (ß 2 M) level is one of the indicators of diseases such as diabetes, kidney failure, and tumors. A centrifugal microfluidic chip was designed to conduct latex immunoagglutination assays for testing ß 2 M. A handhold centrifuge was assembled to drive solution mixing in the microfluidic chip. An office scanner recorded the binding of ß 2 M to the latex beads induced agglutination, reducing reliance on expensive scientific equipment and avoiding environmental light interference. The results revealed that the degree of beads agglutination was proportional to the grayscale value changes (∆G). The ß 2 M testing can be accomplished using a 1.25 µL blood sample, and the testing time is 10 min. The limit of detection is 0.0335 mg/L. The recovery rate calculated by the measured and spiked ß 2 M concentration ratio is 91.8–111.8%. The centrifugal chip was applied to test 50 patients’ samples. The confusion matrix analyzed the rate of false positives, false negatives , true positives, and true negatives for the ß 2 M chip-based test, showing the sensitivity of the ß 2 M chip is 77.3%, the specificity is 82.1%, and the efficiency is 80%. The Area Under the Curve analysis shows that the cutoff value (∆G = 1.011) of ∆G in predicting ß 2 M elevating has a sensitivity of 100% (95% CI: 92.87% −100%) with the specificity of 92% (95% CI:81.6–96.85%).
研究领域:
医学诊断
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生物医学工程
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临床检验
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DOI
高影响因子
ACS Applied Materials & Interfaces
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2022
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IF 10.383
Yafang Shen,Fei Jia,Aoming Liang,Yawen He,Yaping Peng,Huang Dai,Yingchun Fu,Jianping Wang,Yanbin Li
Exploring new functions of nanomaterials can help facilitate the development of biosensors for the detection of antibiotics. Herein, a new detection modality based on monovalent antigen-induced aggregation (MAA) of immunomagnetic beads (IMBs) was proposed for rapid and label-free detection of enrofloxacin (ENR), which endowed IMBs with the abilities of both sample separation and signal generation. In the presence of ENR, the initially well-dispersed IMBs were aggregated and the degree of aggregation was in a concentration-dependent manner. After exploring the mechanism underlying IMB aggregation and investigating the key parameters affecting it, a label-free biosensing platform was developed for rapid and sensitive detection of ENR. Based on the significant differences in the magnetic separation speed and size between the aggregated and well-dispersed IMBs, two methods were proposed for quantitatively determining ENR, i.e., measuring the turbidity of the IMB supernatant after magnetic separation for a given time and visualizing and calculating the grayscale value of the aggregated IMBs trapped on the surface of a nitrocellulose membrane. A three-dimensional (3D)-printed syringe was designed and fabricated for automatic filtration of IMBs. This immunosensor allowed for sensitive detection of ENR in less than 15 min without any labels. It exhibited a satisfactory limit of detection of 0.79 ng mL–1 and showed the feasibility for ENR detection of spiked chicken meat with recovery rates ranging from 74.8 to 98.3%. The MAA immunosensor can act as a promising tool to detect trace levels of ENR and has the potential to be applied to complex food samples.
研究领域:
分析化学
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生物传感
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纳米技术
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食品安全
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环境科学
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DOI
PubMed
高影响因子