RESUMO
Honey adulteration is a common practice that affects food quality and sale prices, and certifying the origin of the honey using non-destructive methods is critical. Guindo Santo and Quillay are fundamental for the honey production of Biobío and the Ñuble region in Chile. Furthermore, Guindo Santo only exists in this area of the world. Therefore, certifying honey of this species is crucial for beekeeper communities-mostly natives-to give them advantages and competitiveness in the global market. To solve this necessity, we present a system for detecting adulterated endemic honey that combines different artificial intelligence networks with a confocal optical microscope and a tunable optical filter for hyperspectral data acquisition. Honey samples artificially adulterated with syrups at concentrations undetectable to the naked eye were used for validating different artificial intelligence models. Comparing Linear discriminant analysis (LDA), Support vector machine (SVM), and Neural Network (NN), we reach the best average accuracy value with SVM of 93% for all classes in both kinds of honey. We hope these results will be the starting point of a method for honey certification in Chile in an automated way and with high precision.
RESUMO
Dear Editor, Segmental Darier disease (DD) is a rare disease with around 40 described English literature cases. It is hypothesized that one of the causes of the disease is a post-zygotic somatic mutation for the calcium ATPase pump, only present in lesional skin. There are two types of segmental DD: type 1, where lesions follow Blaschko's lines unilaterally, and type 2, characterized by focal areas of increased severity in patients with generalized DD (1). Type 1 segmental DD is not easily diagnosed due to the lack of positive family history, the late onset of the disease in the third or fourth decade of life, and lack of DD-associated features. The differential diagnosis of type 1 segmental DD includes acquired papular dermatoses distributed in linear or zosteriform fashion, such as lichen planus, psoriasis, lichen striatus, or linear porokeratosis (2). We report two cases of segmental DD, of which the first case was a 43-year-old woman who presented with pruritic skin changes five years in duration and a history of seasonal aggravation. On examination, light brownish to reddish keratotic small papules were observed on the left abdomen and inframammary area, arranged in a swirling pattern (Figure 1, a). Dermoscopy showed polygonal or roundish yellowish/brown areas surrounded with whitish structureless areas (Figure 1, b). The histopathological correlations for dermoscopic brownish polygonal or round areas are hyperkeratosis, parakeratosis, and dyskeratotic keratinocytes, which were present in the biopsy specimen (Figure 1, c). The patient was prescribed 0.1% tretinoin gel, which led to marked improvement (Figure 1, d). The second case was a 62-year-old woman who presented with a flare of small red-brown papules, eroded papules, and some yellowish crusts arranged in a zosteriform pattern on the right side of the upper abdomen (Figure 2, a). Dermoscopy showed polygonal, roundish, yellowish areas surrounded with whitish and reddish structureless areas (Figure 2, b). Histopathology mainly revealed compact orthokeratosis and small foci of parakeratosis, marked granular layer with dyskeratotic keratinocytes, and foci of suprabasal acantholysis consistent with the diagnosis of DD (Figure 2, d, d). The patient was prescribed topical steroid cream and 0.1% adapalene cream, which also led to improvement. In both of our cases, a final diagnosis of type 1 segmental DD was established based on clinico-histopathologic correlation, since acantholytic dyskeratotic epidermal nevus could not have been ruled out only based on the histopathology report as it is clinically and histologically indistinguishable from segmental DD. However, the late age of onset and aggravation resulting from external factors such as heat, sunlight, and sweat supported the diagnosis of segmental DD. Although the final diagnosis of type 1 segmental DD is typically established based on clinico-histopathological correlation, we find dermoscopy particularly useful in aiding the diagnosis by eliminating differential diagnoses and being aware of their well-known dermoscopic patterns.
