Bioaerosol detecting sensor with a dryer trap

Abstract

The present invention relates to a bioaerosol detection sensor using a dryer trap. Specifically, the invention relates to a bioaerosol detection sensor using a dryer trap, which is a novel method of removing moisture content from bioaerosols without using heat, serving as a detection sensor for detecting bioaerosols, which are airborne respirable particles and are one of the transmission factors for many dangerous viruses such as SARS-CoV-2 and Influenza A viruses.

Description

Technology Field

[0001] The present invention relates to a bioaerosol detection sensor using a dryer trap.

[0002] Specifically, the invention relates to a bioaerosol detection sensor using a dryer trap, which is a novel method of removing moisture content from bioaerosols without using heat, serving as a detection sensor for detecting bioaerosols, which are airborne respirable particles and are one of the transmission factors for many dangerous viruses such as SARS-CoV-2 and Influenza A viruses. Background Technology

[0004] Airborne respirable particles have been identified as one of the transmission factors for many dangerous viruses, such as SARS-CoV-2 and Influenza A viruses. These particulates are collectively referred to as bioaerosols, and the particle water content (PWLC) of indoor air particles varies depending on their hygroscopicity and ambient air humidity.

[0005] Among these various types of particles, bioaerosols and respirable particles (over 90% PWLC) exhibit the highest PWLC, followed by sea salt, combustion particles, and mineral particles.

[0006] These differences in PWLC can cause variations in the mass and size distribution of particles in moist and dry states; however, by utilizing a dual optical particle counter, dry and moist particles can be measured simultaneously, and respirable particles can be determined based on the difference in particle numbers between the two counters.

[0007] The applicant has successfully developed a fast and inexpensive bio-aerosol sensor in Patent Registration No. 10-2506969.

[0008] The aforementioned patent used a heater to remove moisture content from bioaerosols, but the use of a heater was considered to potentially affect safety, such as fire hazards. Therefore, the applicant has developed a new method to remove moisture content from bioaerosols without using heat.

[0010] Meanwhile, the main routes of human-to-human transmission of respiratory viruses are, first, direct or indirect contact with an infected subject; second, large droplets released by coughing / sneezing that can reach uninfected subjects; and third, inhalation of small airborne particles remaining in the air (Domingo et al., 2020; Kutter et al., 2021; Qu et al., 2020).

[0011] It has been reported that viruses such as SARS-CoV-2, which caused significant loss of life in the past, as well as Covid-19, or coronavirus, which recently caused global damage and even led to economic paralysis, can be transmitted through respiratory droplets released from human exhalation, such as through coughing, sneezing, and speaking (Acuti Martellucci et al., 2020; Morawska et al., 2020; Qian et al., 2021; US ​​EPA, 2021; WHO, 2021a).

[0013] While direct transmission from infected individuals is the primary cause of aerosols and droplets, other scenarios such as medical procedures, surgery, fast-flowing tap water, and toilet flushes also generate aerosols contaminated with infectious pathogens.

[0014] The most common viruses that cause respiratory infections through aerosol transmission are influenza virus, rhinovirus, coronavirus, respiratory syncytial virus (RSV), and parainfluenza virus (Jayaweera et al., 2020; Morawska et al., 2020).

[0015] These water droplets are called bioaerosols.

[0016] Advancements in aerosol measurement technologies, such as aerodynamics and scanning mobility particle size, have revealed that most exhaled aerosols are smaller than 5 μm, and a large portion of most respiratory activities, including aerosols generated during breathing, talking, and coughing, are less than 1 μm.

[0017] Aerosols generated by infected individuals may contain infectious viruses, and studies show that viruses are concentrated in small aerosols (<5 mm) (Wang et al., 2021).

[0019] On the other hand, since most people spend about 90% of their time in indoor environments (da Costa Filho and Vilar, 2020; Kruza et al., 2020), most patients were infected through indoor air, which accounted for about 80% of all infection cases (Morawska et al., 2020; Qian et al., 2021).

[0021] Therefore, improving indoor air quality is a pivotal issue (Morawska et al., 2020; WHO, 2021b). Ventilation and air conditioning methods are necessary to lower infection rates (Morawska et al., 2020; WHO, 2021b).

[0022] The main function of these methods is to reduce the amount of bioaerosols in the air or to inactivate bacteria in the bioaerosols (Buising et al., 2021; Morawska et al., 2020; Ren et al., 2020; WHO, 2021b).

[0023] It is not necessary to ventilate constantly for the sake of energy conservation. Therefore, ventilation is sufficient when bioaerosols appear in the indoor air.

[0024] However, it is not easy to rapidly detect bioaerosols using conventional methods. One of the most common real-time techniques for bioaerosol detection is the use of laser (or light)-induced fluorescence (LIF).

[0025] These techniques generally use monochromatic light (continuous or pulsed) to investigate the fluorescence properties of individual particles flowing through the air via an instrument. The resulting fluorescence signal of sufficient intensity is then broadly interpreted according to general assumptions made for fluorescent molecular sources in specific bands (Huffman et al., 2020).

[0026] Meanwhile, since fluorescence alone cannot distinguish between harmful and benign bioaerosols, these RT methods are referred to as front-ends or triggers and are used to determine when to turn on more specific optical detection techniques or to use additional analysis for the identification of specific agents (e.g., using antibodies or nucleic acid sequences) (Huffman et al., 2020).

[0027] In addition, complex techniques have been used to monitor bioaerosols due to the influence of interfering factors such as soot (Huffman et al., 2020). Individual devices are sensitive to only a very small fraction of bioaerosol classes and differ in the specific characteristics that can be achieved.

[0028] For some instrument classes, the detected aerosol can be defined in terms of the instrument response (i.e., fluorescent aerosol as a proxy for a portion of the total bioaerosol) (Huffman et al., 2020).

[0029] Numerous monitoring devices for bioaerosols utilizing this principle are being developed.

[0030] However, infectious viral aerosols are generally too small to be detected individually in the air by the discussed techniques.

[0031] Therefore, the development of tools to detect viral particles in RT represents a significant community need. While infectious or toxic bacterial or fungal aerosols can often be detected, distinguishing them in RT with sufficient taxonomic quality to identify them as potentially harmful species or strains is much more complex.

[0032] Detection techniques that combine multiple types of analysis into pairs have increased success rates but are often expensive and not commercially available (Huffman et al., 2020).

[0033] Therefore, the aforementioned conventional bioaerosol monitoring equipment has been widely used in academic research (Huffman et al., 2020), but due to high costs and complex operation and maintenance, it has not been widely used for personal use, such as in living rooms or even cafe rooms.

[0035] As a conventional bio-aerosol detection device, the method and device for detecting and identifying bio-aerosol particles in the air are described in Registered Patent Publication No. 10-0871938.

[0036] The above technology relates to a method for detecting and identifying bioaerosol particles in the air, wherein bioaerosol particles in a particle stream are selected by an aerosol time-of-flight mass spectrometer (ATOFMS) by fluorescence analysis, and only the selected bioaerosol particles are ionized, for example based on matrix-assisted laser desorption / ionization (MALDI), and subsequently the resulting ions are detected and the bioaerosol particles are identified. The selection of bioaerosol particles is achieved by laser radiation generated by a first laser device at a wavelength that causes fluorescence in a specific substance of the bioaerosol particles, and subsequently the bioaerosol particles are selected by a fluorescence detector, and a second laser device is triggered to emit light at a wavelength that causes the ionization of the bioaerosol particles selected solely by the fluorescence detector.

[0038] In addition, Registered Patent Publication No. 10-1522665 describes a bioaerosol detection device and detection method.

[0039] The above technology allows the bioaerosol detection device and detection method to effectively separate particle sizes based on differences in inertial force by capturing bioaerosols present in the atmosphere using inertial collision, and to select and detect bioaerosols of a desired particle size. Furthermore, the bioaerosol detection device and detection method according to the present invention enable real-time detection of bioaerosols while simultaneously capturing them. Prior art literature

[0041] Registered Patent Publication No. 10-0871938 (Registered Nov. 27, 2008) Registered Patent Publication No. 10-1522665 (Registered May 18, 2015) Published Patent Publication No. 10-2022-0071519 (May 31, 2022) Published Patent Publication No. 10-2020-0133212 (Nov. 26, 2020) The problem to be solved

[0042] The objective of the present invention is to provide a bioaerosol detection sensor using a dryer trap, which is a novel method of removing moisture content from bioaerosols without using heat, as a detection sensor for detecting bioaerosols, which are airborne respirable particles and are one of the transmission factors of many dangerous viruses such as SARS-CoV-2 and influenza A viruses.

[0044] Another objective of the present invention is a method for determining respirable particles based on the difference in the number of particles between two counters by utilizing the difference in mass and size distribution of bioaerosol particles in moist and dry states, and simultaneously measuring dry and moist particles using a dual optical particle counter.

[0045] To elaborate, the present invention provides a bio-aerosol detection sensor using a dryer trap, wherein a dryer trap is configured on one side, the dryer trap is used to maintain a dry environment, and when the bio-aerosol passes through the dryer trap, moisture is rapidly removed within the dryer trap which contains a silicifying agent such as silica gel, zeolite, molecular sieve, or activated alumina. means of solving the problem

[0047] A bioaerosol detection sensor using a dryer trap according to the present invention, devised to achieve the above-mentioned purpose, is configured such that a bottom case (10) and a cover (20) are combined,

[0048] The above bottom case (10) is,

[0049] A sensor coupling area (11) is formed on one side of the center using a partition, and air inlet passages (12) are formed in four directions based on the sensor coupling area (11).

[0050] Any two of the four air inlet passages (12) are connected to the sensor coupling area (11), and

[0051] The remaining two are characterized by having a dryer trap installation area (13) on one side and being connected to the sensor coupling area (11).

[0053] At this time, the sensor coupling area (11) is divided into a first area (111) and a second area (112) by dividing the area with a predetermined partition wall,

[0054] The first area (111) and the second area (112) are each equipped with an OPC sensor (40) and a humidity sensor (50).

[0056] Additionally, any two air inlet passages (12) including the dryer trap installation area (13) are connected to the first area (111), and

[0057] The remaining two air inlet passages (12) that do not include the dryer trap installation area (13) are characterized by being connected to the second area (112).

[0059] In addition, a dryer trap (30) is installed in the dryer trap installation area (13),

[0060] The above dryer trap (30) is,

[0061] A through-hole inlet passage (31) that communicates with an air inlet passage (12) extending from a dryer trap installation area (13), on one side of a combined bottom case (10) and a cover (20) that is exposed as a predetermined box shape;

[0062] A handle (32) configured to protrude toward the other side of the exposed surface, which is used to grip when separating the dryer trap (30) from the bottom case (10);

[0063] On the other side of the above-mentioned exposed surface, a filling hole (33) is provided to allow the inside to be filled with a desiccant inside the dryer trap (30) by communicating with the inside and outside;

[0064] The above through-hole inlet path (31) is configured to include a plurality of through holes on one side,

[0065] A bio-aerosol detection sensor using a dryer trap, characterized in that the desiccant filled inside the dryer trap (30) can be in contact with the air introduced through the through-hole inlet (31).

[0067] In addition, the bioaerosol detection sensor using the above dryer trap is,

[0068] The mass of air that is dried as it passes through the dryer trap (30) is measured by the OPC sensor in the first area (111) and air introduced through any two air inlet passages (12) including the dryer trap installation area (13).

[0069] The mass of air introduced through the remaining two air inlets (12) that do not include the dryer trap installation area (13) is measured through the OPC sensor of the second area (112),

[0070] It is characterized by determining that the air contains bioaerosols if the error of the two OPC sensors is 10% or more.

[0072] In addition, the bioaerosol detection sensor using the above dryer trap is,

[0073] The humidity of the air introduced through any two air inlet passages (12) including the dryer trap installation area (13) is measured by the humidity sensor (50) of the first area (111),

[0074] It is characterized by determining that it is time to replace the dryer trap (30) if the humidity is 20% or higher. Effects of the invention

[0076] According to the bioaerosol detection sensor using a dryer trap according to the present invention, airborne respirable particles can be used as a detection sensor for bioaerosols, which are one of the transmission factors of many dangerous viruses such as SARS-CoV-2 and influenza A viruses, and can provide a bioaerosol detection sensor with a novel method of removing moisture content from bioaerosols without using heat.

[0078] Furthermore, it has the advantage of enabling anyone to detect bio-aerosols contained in indoor air emitted from people in a quick, easy, and convenient manner. Based on a principle that allows for the detection of bio-aerosols in indoor air using only an Optical Particle Counter (OPC) sensor, it offers the advantage of being affordable to implement as it utilizes OPC sensors that can be purchased inexpensively on the market. Brief explanation of the drawing

[0080] Figure 1 shows a bioaerosol detection sensor using a dryer trap according to the present invention. Figure 2 shows the bottom case of a bioaerosol detection sensor using a dryer trap according to the present invention. Figure 3 illustrates the bottom case of Figure 2. Figure 4 illustrates a dryer trap of a bioaerosol detection sensor using a dryer trap according to the present invention. Figure 5 shows the interior of the dryer trap of Figure 4. Specific details for implementing the invention

[0081] Terms and words used in this specification and claims should not be interpreted as being limited to their ordinary or dictionary meanings, but should be interpreted in a meaning and concept consistent with the technical spirit of the invention, based on the principle that the inventor can appropriately define the concept of the terms to best describe his invention.

[0083] Therefore, the embodiments described in this specification and the configurations illustrated in the drawings are merely the most preferred embodiments of the present invention and do not represent all of the technical ideas of the present invention; thus, it should be understood that various equivalents and modifications that can replace them may exist at the time of filing this application.

[0085] Before proceeding with the following description with reference to the drawings, it should be noted that matters not necessary to reveal the gist of the invention, namely known configurations that a person skilled in the art with ordinary knowledge can obviously add, have not been illustrated or specifically described.

[0087] The present invention relates to a bioaerosol detection sensor using a dryer trap.

[0088] Specifically, the invention relates to a bioaerosol detection sensor using a dryer trap, which is a novel method of removing moisture content from bioaerosols without using heat, serving as a detection sensor for detecting bioaerosols, which are airborne respirable particles and are one of the transmission factors for many dangerous viruses such as SARS-CoV-2 and Influenza A viruses.

[0090] A bioaerosol detection sensor using a dryer trap according to the present invention will be explained with reference to the attached drawings.

[0091] Figure 1 shows a bioaerosol detection sensor using a dryer trap according to the present invention.

[0092] In addition, FIG. 2 shows a bottom case of a bioaerosol detection sensor using a dryer trap according to the present invention, and FIG. 3 illustrates the bottom case of FIG. 2.

[0094] A bio-aerosol detection sensor using a dryer trap according to Fig. 1 of the attached drawings is completed by combining a bottom case (10) and a cover (20). The bottom case (10) forms a sensor coupling area (11) on one side of the center using a partition wall as shown in Fig. 2 of the attached drawings, and forms air inlet passages (12) in multiple directions based on the sensor coupling area (11).

[0095] At this time, the air inlet passage (12) is preferably composed of four, two of which introduce air containing both bio-aerosol and general particles and guide it to the sensor coupling area (11), and the remaining two introduce air in which the mass of the bio-aerosol is dried by installing a dryer trap (30) on one side and the mass converges to nearly zero and guide it to the sensor coupling area (11).

[0097] At this time, the dryer trap (30) is formed by extending one side of two selected air inlet passages (12) to form a dryer trap installation area (13) and is coupled to the dryer trap installation area (13), as will be described later through FIGS. 4 and FIGS. 5 of the attached drawings.

[0099] The sensor coupling area (11) is separated by a predetermined partition and divided into a first area (111) and a second area (112). An OPC sensor (40) and a humidity sensor (50) are installed in each of these first area (111) and second area (112), respectively. One of the two areas (111 or 112) measures air containing both bio-aerosol and general particles introduced from the air inlet passage (12), and the other area measures air containing dried bio-aerosol introduced through the dryer trap (30).

[0101] An example of detection through the OPC sensor (40) and humidity sensor (50) is as follows.

[0102] First, assuming that the air is composed of bio-aerosols (C1) and general particles (C2), the total mass of the air particles is the sum of these (Csum = C1 + C2).

[0103] When these particles enter the OPC sensor, two pathways occur.

[0104] In one case, when passing through the air inlet (12) combined with the dryer trap (30), the mass of the bioaerosol becomes almost zero (C1=0) due to the dry environment inside the trap, and therefore the OPC can detect only ordinary particles. Therefore, the final mass (Csum1) becomes the mass of ordinary particles (C2).

[0105] Another case is when passing through a general air intake (12) where a dryer trap (30) is not installed, the bioaerosol is not removed, so the OPC can detect all particles, and this results in a final mass (Csum2) of C1 + C2.

[0106] Therefore, the fact that the values ​​of Csum1 and Csum2 are different means that there is bioaerosol in the air.

[0107] If, in the case of air without bioaerosols, Csum1 would be similar to Csum2.

[0108] According to the experimental results, if the relative percentage difference between Csum1 and Csum2 is less than 10%, they are considered similar.

[0109] This will be explained later through the reference examples below.

[0111] Meanwhile, the above dryer trap (30) is explained through Figures 4 and 5 of the attached drawings.

[0112] FIG. 4 illustrates a dryer trap of a bioaerosol detection sensor using a dryer trap according to the present invention, and FIG. 5 shows the interior of the dryer trap of FIG. 4.

[0114] A dryer trap (30) according to the attached drawing has a through-hole inlet (31) that communicates with an air inlet (12) extending from a dryer trap installation area (13), on one side of a combined body of a bottom case (10) and a cover (20) that is exposed in a predetermined box shape;

[0115] A handle (32) configured to protrude toward the other side of the exposed surface, which is used to grip when separating the dryer trap (30) from the bottom case (10);

[0116] On the other side of the above-mentioned exposed surface, a filling hole (33) is provided to allow the inside to be filled with a desiccant inside the dryer trap (30) by communicating with the inside and outside.

[0117] At this time, the filling hole can be opened and closed by attaching a separate cover to the filling hole (33).

[0119] In addition, the above through-hole inlet (31) is configured to include a plurality of through holes as shown in Fig. 4 of the attached drawing.

[0120] These holes serve as passages that allow air introduced through the holes (31) to come into contact with the desiccant filled inside the dryer trap (30).

[0121] That is, the above-mentioned desiccant is a silicifying agent such as silica gel, zeolite, molecular sieve, or activated alumina, and performs the function of drying by friction with air introduced through the through-hole inlet (31).

[0122] The air passing through this dryer trap (30) has a relative humidity of less than 10% at a normal ambient temperature of 25°C. Therefore, in the present invention, the humidity of the air introduced is measured through a humidity sensor (50) installed in the bottom case (10), and if the measured humidity is 20% or higher, it is determined to be the appropriate time to replace the dryer trap (30).

[0123] That is, although not shown in the drawing, one side of the cover (20) may further include a notification configuration that receives a sensor value from a humidity sensor and performs a separate light emission or notification.

[0125] In summary, the present invention performs air inflow through four air inflow passages (12), wherein a dryer trap (30) is installed in two of them, so that dried air is introduced through the two air inflow passages (12) and normal air is introduced through the remaining two air inflow passages (12).

[0126] The air that has passed through the dryer trap (30) and the normal air that has not are each measured through their respective OPC sensors (30).

[0127] At this time, the bioaerosol is dried in the dryer trap (30) so that its mass converges to 0, and accordingly, if the bioaerosol is contained in the air, the two OPC values ​​will be different, so if the error between them is 10% or more, it is determined that the bioaerosol has been detected.

[0128] And, if the humidity of the incoming air exceeds 20%, it is determined that it is time to replace the dryer trap (30). To this end, additional control configurations may be included as needed.

[0130] 참조예

[0131] Experimental data: Air humidity before and after the dryer trap was tested using a humidity sensor (645, Testo SE & Co., Germany). Silica gel was used as the silicifying agent.

[0132] The test was performed under conditions where the length of the dryer trap was 8 cm and the air flow rate was 1 L / min.

[0133] The results are as shown in [Table 1].

[0135]

[0137] The experimental setup for testing the bioaerosol sensor is as shown in [Table 2].

[0138] Two identical OPC sensors (11-A, Grimm Aerosol Technik GmbH & Co., Germany) were used to analyze particle concentration.

[0139] An atomic sprayer is used to generate a bioaerosol, and OPC sensor 1 is coupled with a dryer trap (channel 1). Additionally, OPC sensor 2 without a dryer trap is referred to as channel 2.

[0141]

[0143] As a result of conducting experiments using dry dust, as shown in [Table 3], when Channel 1 was not coupled with a dryer trap, the PM10 and PM2.5 of Channel 1 and Channel 2 showed similar patterns.

[0144] This pattern was similar to the case where Channel 1 is combined with a dryer trap as shown in [Table 4]. Since the dry particles do not contain water, the dryer trap does not affect them. [Table 5] shows the difference between Channel 1 and Channel 2.

[0145] [Table 5] shows that the relative percentage difference (RPD) between Channel 1 and Channel 2 is very small.

[0147]

[0149]

[0151] Case Channel 1 without dryer trap Channel 2 with dryer trap Concentration PM10 (㎍ / m 3 ) PM2.5 (㎍ / m 3 ) PM10 (㎍ / m 3 ) PM2.5 (㎍ / m 3 ) Channel 1 280.1 196.6 327.9 232.1 Channel 2 279.3 196.5 326.1 230.9 RPD (%) 0.29 0.02 0.57 0.51

[0153] When aerosols were introduced into the two OPCs, in the case where Channel 1 did not have a dryer trap ([Table 6]), the patterns of PM10 and PM2.5 were similar between Channel 1 and Channel 2.

[0154] On the other hand, when Channel 1 was combined with a dryer trap, significant values ​​were found between Channel 1 and Channel 2 ([Table 7]). As shown in [Table 6], the value of Channel 2 increased sharply when aerosols were present. Conversely, the value of Channel 2 remained nearly constant. The RPD presented in [Table 8] shows the difference between the two channels more clearly.

[0156]

[0158]

[0160] Case Channel 1 without dryer trap Channel 2 with dryer trap Concentration PM10 (㎍ / m 3 ) PM2.5 (㎍ / m 3 ) Concentration PM10 (㎍ / m 3 ) Channel 1 4654.5 1012.8 60.3 30.3 Channel 2 4653.9 1008.7 2997.9 1443.5 RPD(%) 0.01 0.40 98.0 97.9

[0162] According to the bioaerosol detection sensor using a dryer trap configured as described above, airborne respirable particles can be used as a detection sensor for bioaerosols, which are one of the transmission factors for many dangerous viruses such as SARS-CoV-2 and influenza A viruses, and can provide a bioaerosol detection sensor with a novel method of removing moisture content from bioaerosols without using heat.

[0164] Furthermore, it has the advantage of enabling anyone to detect bio-aerosols contained in indoor air emitted from people in a quick, easy, and convenient manner. Based on a principle that allows for the detection of bio-aerosols in indoor air using only an Optical Particle Counter (OPC) sensor, it offers the advantage of being affordable to implement as it utilizes OPC sensors that can be purchased inexpensively on the market.

[0166] The description above using the drawings describes only the main aspects of the present invention, and it is obvious that the present invention is not limited to the configuration of the drawings, as various designs are possible within the technical scope. Explanation of the symbols

[0168] 10 : Bottom case 11: Sensor coupling area 111: First Zone 112 : Second Zone 12: Air intake 13 : Dryer trap installation area 20 : Cover 30 : Dryer trap 30a: Desiccant 31 : Through-hole inlet 32: Handle 33 : Filling hole 40 : OPC sensor 50: Humidity sensor

Claims

Claim 1 A bio-aerosol detection sensor using a dryer trap, wherein a bottom case (10) and a cover (20) are combined and configured such that the bottom case (10) forms a sensor coupling area (11) on one side of the center using a partition, and forms air inlet passages (12) in four directions based on the sensor coupling area (11), wherein two of the four air inlet passages (12) are connected to the sensor coupling area (11), and the remaining two are connected to the sensor coupling area (11) including a dryer trap installation area (13) on one side. Claim 2 A bio-aerosol detection sensor using a dryer trap according to claim 1, wherein the sensor coupling area (11) is divided into a first area (111) and a second area (112) by a predetermined partition wall, and an OPC sensor (40) and a humidity sensor (50) are installed in each of the first area (111) and the second area (112). Claim 3 A bioaerosol detection sensor using a dryer trap according to claim 2, wherein any two air inlet passages (12) including a dryer trap installation area (13) are connected to a first area (111), and the remaining two air inlet passages (12) not including a dryer trap installation area (13) are connected to a second area (112). Claim 4 In claim 3, a dryer trap (30) is installed in the dryer trap installation area (13), wherein the dryer trap (30) comprises: a through-hole inlet (31) that communicates with an air inlet (12) extending from the dryer trap installation area (13) on one side of the combination of the bottom case (10) and the cover (20) in a predetermined box shape; a handle (32) configured to protrude from the other side of the exposed side and gripped when separating the dryer trap (30) from the bottom case (10); and a filling hole (33) on yet another side of the exposed side that communicates the inside and outside to allow filling of a desiccant into the dryer trap (30); wherein the through-hole inlet (31) is configured to include a plurality of through holes on one side, and the desiccant filled inside the dryer trap (30) is the A bio-aerosol detection sensor using a dryer trap, characterized by allowing friction with air introduced through the through-hole inlet (31). Claim 5 A bioaerosol detection sensor using a dryer trap, wherein, in any one of claims 1 to 4, the mass of air that is dried while passing through the dryer trap (30) after air introduced through any two air inlet passages (12) including the dryer trap installation area (13) is measured through an OPC sensor in the first area (111), and the mass of air introduced through the remaining two air inlet passages (12) not including the dryer trap installation area (13) is measured through an OPC sensor in the second area (112), and if the error of the two OPC sensors is 10% or more, it is determined that the air contains bioaerosol. Claim 6 A bioaerosol detection sensor using a dryer trap according to claim 5, wherein the humidity of air introduced through any two air inlet passages (12) including a dryer trap installation area (13) is measured by a humidity sensor (50) in a first area (111), and if the humidity is 20% or higher, it is determined that it is time to replace the dryer trap (30).

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