A nanocarbon separation device includes a separation tank which is configured to accommodate a dispersion liquid including a nanocarbon, a first electrode that is provided at an upper part in the separation tank, a second electrode that is provided at a lower part in the separation tank, and a partition member that is provided between the first electrode and the second electrode in the separation tank, and the partition member partitions the separation tank into a plurality of regions.

A nanocarbon separation device includes a separation tank which is configured to accommodate a dispersion liquid including a nanocarbon, a first electrode that is provided at an upper part in the separation tank, a second electrode that is provided at a lower part in the separation tank, and a partition member that is provided between the first electrode and the second electrode in the separation tank, and the partition member partitions the separation tank into a plurality of regions.

A base filter for a diesel exhaust fluid (DEF) filter of a header assembly in a fluid reservoir is disclosed may include first and second semi-cylindrical holder portions having a semi-cylindrical walls concluding at abutment surfaces that face and engage when the base filter is assembled. The semi-cylindrical holder portions have one or more mounting tabs extending inward from inner surfaces of the semi-cylindrical walls. The header assembly may include a header with a cylindrical header boss having mounting recess defined therein. The mounting tabs may be circumferentially spaced about the semi-cylindrical walls to align with and be inserted into the mounting recesses of the header boss the base filter is assembled on the cylindrical header boss. Fasteners may be inserted through fastener bosses of the semi-cylindrical holder portions and into fastener bores of the header boss to hold the semi-cylindrical holder portions together and on the header.

The present invention provides a method for treating a gas, comprising: step (A): collecting a gas comprising carbon dioxide and fine particulate matter; step (B): rinsing the gas with water to obtain a rinsed gas; and step (C): contacting the rinsed gas with a basic solution in a way of co-current flow to absorb the carbon dioxide in the rinsed gas by the basic solution to obtain a treated gas and a weak basic solution; wherein the pH value of the basic solution is between 9 and 14, and the pH value of the weak basic solution is between 8 and 8.5. The method can reduce the content of both fine particulate matter and carbon dioxide.

The present invention provides a method for treating a gas, comprising: step (A): collecting a gas comprising carbon dioxide and fine particulate matter; step (B): rinsing the gas with water to obtain a rinsed gas; and step (C): contacting the rinsed gas with a basic solution in a way of co-current flow to absorb the carbon dioxide in the rinsed gas by the basic solution to obtain a treated gas and a weak basic solution; wherein the pH value of the basic solution is between 9 and 14, and the pH value of the weak basic solution is between 8 and 8.5. The method can reduce the content of both fine particulate matter and carbon dioxide.

Disclosed is an apparatus for monitoring bioaerosols, including a capturer configured to capture bioaerosol particles in air in a capture solution; a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are included in at least some of the sprayed droplets; and an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning. In accordance with such a configuration, the droplets containing a certain amount of the particles can be continuously analyzed in real time by machine learning, thereby contributing to the improvement of monitoring efficiency for a specific bioaerosol genus.

Disclosed is an apparatus for monitoring bioaerosols, including a capturer configured to capture bioaerosol particles in air in a capture solution; a particle sprayer configured to electro-spray the capture solution in a form of droplets such that the particles are included in at least some of the sprayed droplets; and an analyzer configured to analyze the particles, sprayed through the particle sprayer, by machine learning. In accordance with such a configuration, the droplets containing a certain amount of the particles can be continuously analyzed in real time by machine learning, thereby contributing to the improvement of monitoring efficiency for a specific bioaerosol genus.

An air dust removal system (101) includes a dust removal system inlet (1011), a dust removal system outlet, and an electric field apparatus (1014). The electric field apparatus (1014) has an electric field apparatus inlet, an electric field apparatus outlet, a dust removal electric field cathode (10142), and a dust removal electric field anode (10141); the dust removal electric field cathode (10142) and the dust removal electric field anode (10141) are used for generating an ionization dust removal electric field. When dust is collected in the ionization dust removal electric field, the electric field apparatus (1014) detects an electric field current. The air dust removal system (101) can effectively remove particulate matters in air.

A cooking fume treatment system for cooking machines comprises a sealed cooking cavity (A100), cooking equipment (A101) and a first cooking fume treatment device (A200), the cooking equipment (A101) is arranged in the sealed cooking cavity (A100); the first cooking fume treatment device (A200) is provided with a first fume inlet (A201) and a first fume outlet (A202), the first fume inlet (A201) is communicated with the cooking equipment (A101), and the first fume outlet (A202) is communicated with the external of the sealed cooking cavity (A100). By arranging the sealed cooking cavity (A100), cooking fume generated by the cooking machine is sealed in the sealed cooking cavity, and the cooking fume can be discharged into the environment only after being treated by the first cooking fume treatment device (A200), so that the influence of the cooking fume of the cooking machine on the environment is reduced.

According to an embodiment of the present disclosure, provided is an optical detection system for detecting a laser speckle generated by multiple scattering of a wave irradiated toward a sample from a wave source, and based on a change in the laser speckle over time, detecting the presence of microbes in the sample in real time.