Chemical Composition and Antinutrient Content of three Lupinus Species from Jalisco, Mexico

Abstract

Nature-inspired computing has yielded remarkable applications of collective intelligence which considers simple elements for solving complex tasks by common interaction. On the other hand, automatic circle detection in digital images has been considered an important and complex task for the computer vision community that has devoted a tremendous amount of research, seeking for an optimal circle detector. This paper presents an algorithm for the automatic detection of circular shapes embedded into cluttered and noisy images without considering conventional Hough transform techniques. The approach is based on a nature-inspired technique known as the Electro-magnetism Optimization (EMO). It follows the electro-magnetism principle regarding a collective attraction-repulsion mechanism which manages particles towards an optimal solution. Each particle represents a solution by holding a charge which is related to the objective function to be optimized. The algorithm uses the encoding of three non-collinear points embedded into an edge-only image as candidate circles. Guided by the values of the objective function, the set of encoded candidate circles (charged particles) are evolved using an EMO algorithm so that they can fit into actual circular shapes over the edge-only map of the image. Experimental evidence from several tests on synthetic and natural images which provide a varying range of complexity validates the efficiency of our approach regarding accuracy, speed and robustness. " 2011 Elsevier Inc. All rights reserved.",,,,,,"10.1016/j.ins.2010.12.024",,,"http://hdl.handle.net/20.500.12104/40075","http://www.scopus.com/inward/record.url?eid=2-s2.0-80055045787&partnerID=40&md5=995896771b8a6dcb866afb558d7de0d3",,,,,,"1",,"Information Sciences",,"40

55",,"182",,"Scopus

WOS",,,,,,"Circle detection; Collective intelligence; Electro-magnetism optimization; Intelligent image processing; Nature-inspired algorithms; Shape detection",,,,,,"Circle detection using electro-magnetism optimization",,"Article" "37175","123456789/35008",,"Univ Guadalajara, OPD Hosp Civil Juan I Menchaca, Guadalajara 44430, Jalisco, Mexico",,"Calvo-Vargas, CG

Gutierrez, CG

Flores-Lopez, AA

Parra-Rodriguez, L

Polanco-Preza, MA",,"1999",,,,,,,,,,"0895-7061","http://hdl.handle.net/20.500.12104/36336",,,"English",,"ELSEVIER SCIENCE INC",,"4",,"AMERICAN JOURNAL OF HYPERTENSION",,"153A

153A",,"12",,"WOS",,,,,,,,,,,,"White Coat effect associated factors detected with the loaned self-measurement equipment model.",,"Meeting Abstract" "41796","123456789/35008",,"Ruiz-López, M.A., Ctro. Univ. Cie. Biol. y A., Universidad de Guadalajara, Carretera Guadalajara-Nogales, Las Agujas, Nextipac, Zapopan, Mexico; García-López, P.M.; Castañeda-Vazquez, H., Ctro. Univ. Cie. Biol. y A., Universidad de Guadalajara, Carretera Guadalajara-Nogales, Las Agujas, Nextipac, Zapopan, Mexico; Zamora, N.J.F., Ctro. Univ. Cie. Biol. y A., Universidad de Guadalajara, Carretera Guadalajara-Nogales, Las Agujas, Nextipac, Zapopan, Mexico; Garzón-De La Mora, P., Laboratorio de Bioquímica, Depto. de Fisiología, Ctro. Univ. de Ciencias de la Salud, Guadalajara, Jalisco, Mexico; Bañuelos Pineda, J., Ctro. Univ. Cie. Biol. y A., Universidad de Guadalajara, Carretera Guadalajara-Nogales, Las Agujas, Nextipac, Zapopan, Mexico; Burbano, C., Area Detecnologia de Alimentos, CIT-INIA, Aptdo. 8111, 28080, Madrid, Spain; Pedrosa, M.M., Area Detecnologia de Alimentos, CIT-INIA, Aptdo. 8111, 28080, Madrid, Spain; Cuadrado, C., Area Detecnologia de Alimentos, CIT-INIA, Aptdo. 8111, 28080, Madrid, Spain; Muzquiz, M., Area Detecnologia de Alimentos, CIT-INIA, Aptdo. 8111, 28080, Madrid, Spain",,"Ruiz-Lopez, M.A.

García-Lopez, P.M.

Castaneda-Vazquez, H.

Zamora, N.J.F.

Garzon-De La Mora, P.

Banuelos Pineda, J.

Burbano, C.

Pedrosa, M.M.

Cuadrado, C.

Muzquiz, M.",,"2000",,"In this study, the proximal chemical analysis and contents of antinutritional factors (lectins, antitrypsin activity, cyanogenic glycosides, alkaloids, phytates and ? -galactosides) of Lupinus exaltatus, L. reflexus, and L. mexicanus seeds were determined. The seeds of these lupins comprised 384.1, 388.0, 367.0 g/kg protein, which contained all the essential amino acids for human beings except glutamine and asparagine in their seed protein. OnlyL. exaltatus was free from lectins. Trypsin inhibitor concentrations ranged from 1.12 to 2.05 TIU/mg. Cyanogenic glycosides were present at low concentrations in the studied lupins. Total alkaloid content ranged from 14.0 to 44.0 g/kg and phytate content ranged from 11.1 to 1.856 g/kg. The main ? -galactosides found in seeds were raffinose, stachyose, verbacose and ajucose. Stachyose was the predominant sugar in the studied species. Therefore, these wild lupins could be considered a good source of protein after a suitable reduction in the content of alkaloids. " 2000 Academic Press.