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This work developed an effective and eco-friendly analytical method to support quality control for Brazilian Bill proposal No. 5332/2009. The bill advocates the creation of the “Brazilian bread” by mandating the incorporation of cassava byproducts into wheat flour, with the aim of reducing Brazil’s external dependency on wheat imports and promoting domestic cassava family farming. For this, a handheld near-infrared (NIR) spectrophotometer was utilized for on-site determination of cassava starch in commercial wheat flour. The quantitative analysis, which utilized NIR spectra pre-processed with offset correction (OFF) combined with linear baseline correction (LBC), alongside the successive projections algorithm for interval selection in partial least squares (iSPA-PLS), exhibited superior predictive capability, achieving a relative error of prediction below 8%. Furthermore, the classification process, which involved NIR spectra pre-processed with LBC and iSPA-PLS for discriminant analysis (iSPA-PLS-DA), yielded an impressive 94% overall accuracy, with only 3 misclassifications in the test set. ecofriendly eco friendly No 53322009 5332 2009 5332/2009 bread flour Brazils Brazil s farming this nearinfrared near infrared (NIR onsite site preprocessed pre processed OFF (OFF LBC, , (LBC) iSPAPLS, iSPAPLS iSPA PLS (iSPA-PLS) capability 8 8% Furthermore process iSPAPLSDA, iSPAPLSDA DA (iSPA-PLS-DA) 94 accuracy set 5332200 533 200 5332/200 (LBC (iSPA-PLS (iSPA-PLS-DA 9 533220 53 20 5332/20 53322 5 2 5332/2 5332/

ABSTRACT The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others. publications problem uptodate up date classifications context exception (CTFB http//fauna.jbrj.gov.br/, httpfaunajbrjgovbr http //fauna.jbrj.gov.br/ , jbrj gov br (http://fauna.jbrj.gov.br/) 2015 Brazil 80 specialists 1 2024 133691 133 691 133,69 125138 125 138 125,13 82.3%, 823 82 3 (82.3% 102000 102 000 102,00 7.69%, 769 7 69 (7.69% 11000 11 11,00 . 3,567 3567 567 (3,56 2,292 2292 2 292 (2,29 1,833 1833 833 (1,83 1,447 1447 447 (1,44 1000 1,00 831 (83 628 (62 606 (60 520 (52 50 users science health biology law anthropology education others http//fauna.jbrj.gov.br/ faunajbrjgovbr //fauna.jbrj.gov.br (http://fauna.jbrj.gov.br/ 201 8 202 13369 13 133,6 12513 12 125,1 82.3% (82.3 10200 10 00 102,0 7.69% 76 6 (7.69 1100 11,0 3,56 356 56 (3,5 2,29 229 29 (2,2 1,83 183 83 (1,8 1,44 144 44 (1,4 100 1,0 (8 62 (6 60 52 (5 5 http//fauna.jbrj.gov.br (http://fauna.jbrj.gov.br 20 1336 133, 1251 125, 82.3 (82. 1020 0 102, 7.69 (7.6 110 11, 3,5 35 (3, 2,2 22 (2, 1,8 18 (1, 1,4 14 4 ( 82. (82 7.6 (7. 3, (3 2, (2 (1 7. (7

Infusions of Mikania glomerata Sprengel (guaco) leaves are used in Brazil for the treatment of respiratory diseases. Coumarin is the chemical marker of guaco for quality control purposes. This work proposes a voltammetric methodology to determine coumarin by using a boron-doped diamond electrode. At pH 10 (0.1 mol L-1 Britton-Robinson buffer solution), coumarin is irreversibly oxidized around +1.77 V in a process predominantly controlled by diffusion. The methodology described here presented a linear range from 1.54 to 15.3 µg mL-1 with limits of detection and quantification of 0.20 and 0.62 µg mL-1, respectively. Analysis of variance confirmed the significance of the regression and the absence of lack-of-fit at the confidence level of 95%. Infusion of commercial guaco leaves was directly analyzed, and results were in agreement with high-performance liquid chromatography after applying the paired t-test at a confidence level of 95%. (guaco diseases purposes borondoped boron doped electrode 1 0.1 01 0 (0. L1 L L- BrittonRobinson Britton Robinson solution, solution , solution) 177 77 +1.7 diffusion 154 54 1.5 153 15 3 15. mL1 mL mL- 020 20 0.2 062 62 0.6 mL1, 1, respectively lackoffit lack fit 95 95% analyzed highperformance high performance ttest t test 0. (0 17 7 +1. 5 1. 02 2 06 6 9 ( +1 +

O objetivo deste estudo foi classificar amostras de comprimidos contendo dipirona, cafeína e orfenadrina usando espectroscopia no infravermelho próximo e técnicas quimiométricas. O conjunto de dados foi de 300 espectros de amostras de três comprimidos por lote e quatro diferentes produtores. O pré-processamento foi realizado pelo algoritmo Savitzky-Golay com primeira derivada, janela de 17 pontos e polinômio de segunda ordem. A classificação dos comprimidos foi conduzida usando modelos quimiométricas baseados na análise de componentes principais (PCA), modelagem independente flexível por analogias de classes (SIMCA), algoritmo genético- (GA-LDA) e algoritmo das projeções sucessivas-análise discriminante linear (SPA-LDA). Pela análise PCA, observou-se agrupamentos para cada conjunto de comprimidos. Para o modelo SIMCA, utilizou-se 15 e 30 medidas espectrais para o conjunto de treinamento dos medicamentos similares e de referência, respectivamente. Para o modelo GA-LDA, utilizou-se 12 variáveis, enquanto que o modelo SPA-LDA selecionou somente dois comprimentos de onda, 1572 e 1933 nm. Os modelos classificaram corretamente todas as amostras. A metodologia permitiu uma classificação rápida e não destrutiva das amostras e sem necessidade de determinações analíticas convencionais.

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