A sensitivity test has also been conducted on the characteristics of light scattered in the receiver when dust fibers of four colors were introduced into the sensing chamber of a photoelectric smoke detector [15]. Similar studies have been conducted in other countries, including studies in which detector sensitivity was evaluated in terms of reaction time at the moment of detection after smoke from a variety of combustible materials was introduced [16,17]. [PERSON] et al. constructed a multi-angle scatter chamber and analyzed the distribution and optical properties of internally scattered light, according to the type of flammable material [18]. [PERSON] et al. analyzed the light scattering angle according to morphological characteristics by approximating a single particle of white or black smoke using a simple ellipsoid, applying Mie scattering theory [19]. To distinguish between flaming and smoldering, the size of the smoke particle was measured and the optical characteristics were analyzed [20,21,22]. A variety of optical techniques have been used to analyze the distribution of light scattered in various wavelength bands according to the color, size, and shape of the smoke particles. Recently, classifications by particle size and scattering distribution were evaluated using polarized light [23]. However, it is difficult to establish these variables because fire smoke generation is affected, in a complex way, by the types of flammable materials and the ventilation conditions. Recently, [PERSON] et al. reported a polarization-based sensor to control the sensitivity of the photoelectric smoke detector's operating time, as the time tends to become delayed or not work because black smoke absorbs light more strongly than it scatters [24]. The idea is to adjust the sensitivity of the detector according to the color of the smoke by making the output similar to the light scattering intensity of white smoke, using a correction factor for black smoke. Specifically, according to the results of an experiment using standardized materials [25; 26], the average scattering intensity of white smoke is approximately four times greater than that of black smoke; therefore, to increase sensitivity, a method that uses a correction factor of 4.0 has been proposed [24]. However, there are a number of limitations in generalizing the optical properties of smoke particles according to particle size and concentration and then applying them to all fire scenarios. This is because the smoke concentration and particle size of the combustion products generated in a fire differ substantially according to the types of combustibles in the actual fire, the ventilation conditions, and the residence times of high-temperature products. Typically, smoke particles grow into agglomerates through complex processes including coagulation, aggregation, breakage, and coalescence [27]. It is difficult to evaluate soot as consisting of uniform-sized particles in a simple burning process, and agglomerates formed between particles cannot be ignored. Further, in a fire with insufficient ventilation, particles actively agglomerate, and it has been reported [28] that the amount of soot generated under this condition can be more than double that in a fire with sufficient ventilation. In summary, defining and evaluating the various phenomena and fire situations (which change in real time) in terms of specific values may provide results that are less reliable than those using a theoretical methodology incorporating sophisticated optical techniques. The consequences can be fatal. This study was conducted to address the problem of malfunction when black smoke of the same concentration was introduced into the photoelectric smoke detector, whose sensitivity was adjusted to white smoke based on the light-extinction method in South Korea. The optical properties of combustibles producing smoke of various colors were analyzed to activate the detector at the same concentration and reaction time regardless of the smoke color, which depends on the conditions of the fire.