2016
DOI: 10.1371/journal.pone.0159671
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Near-Infrared Spectroscopy as a Novel Non-Invasive Tool to Assess Spiny Lobster Nutritional Condition

Abstract: Rapid non-invasive monitoring of spiny lobster nutritional condition has considerable application in the established fishery, live market and prospective aquaculture. The aim of this research was to test the feasibility of near-infrared spectroscopy (NIRS) as a novel non-invasive tool to assess the nutritional condition of three lobster species. Lobster (n = 92) abdominal muscle dry matter (AMDM) and carbon content (AMC) correlated significantly with indices of nutritional condition including hepatopancreas dr… Show more

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Cited by 12 publications
(9 citation statements)
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References 30 publications
(74 reference statements)
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“…Haemolymph protein concentration, and associated techniques to estimate it via refractometry, have been used as the main non-destructive index (e.g., Refractive index, Brix index) for measuring “nutritional condition” in lobsters [68]. Processors generally don’t assess nutritional condition but rather rely on observations of vitality (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Haemolymph protein concentration, and associated techniques to estimate it via refractometry, have been used as the main non-destructive index (e.g., Refractive index, Brix index) for measuring “nutritional condition” in lobsters [68]. Processors generally don’t assess nutritional condition but rather rely on observations of vitality (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Muscle foods, including meat and fish, are very important from the point of view of human nutrition and commercial activity worldwide [151]. There have been significant efforts, both from the industry and academia, on improving quality and quantity of the raw and processed muscle food types in recent years [151][152][153][154][155]. Accordingly, there have been increasing demands for the development robust and time effective monitoring techniques to track compositional and safety compliance issues as conventional chemical methods of meat quality assessment become more expensive and time consuming.…”
Section: Nir Spectroscopy In Meat and Meat Products Fish And Seafoomentioning
confidence: 99%
“…Near infrared spectroscopy (NIR) has drawn considerable interest for many reasons, including its portability, speed, cost-effectiveness, suitability for in-line as well as on-line analysis, and the ability to concurrently measure different parameters for a large number of samples [151][152][153][154][155][156][157]. Several studies reported on the use of NIR for meat quality assessment and the analyses of meat properties in live animals or carcasses due to the capability of IR light to penetrate several layers of tissue [151][152][153][154][155][156][157][158][159]. Two published papers demonstrated that the short wavelength radiation in the NIR region of the electromagnetic spectrum can potentially be utilized to non-invasively assess meat quality [152,154].…”
Section: Nir Spectroscopy In Meat and Meat Products Fish And Seafoomentioning
confidence: 99%
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“…Compositional data are important quality and nutritional attributes and can inform selective breeding programmes through family selection, aid in food and diet development, help optimize production practices, identify optimal production areas and assess variability across a farm. This technology is a non-destructive and rapid method to determining proximate composition of aquaculture species and has previously been used in many different applications including Atlantic salmon (Salmo salar) (Brown, Kube, Taylor, & Elliott, 2014;Isaksson, Togersen, Iversen, & Hildrum, 1995;Wold, Jakobsen, & Krane, 1996), oysters (Saccostrea glomerate and Crassostrea gigas) (Brown, Kube, O'Connor, Cunningham, & King, 2012) and lobsters (Simon, Rodemann, & Carter, 2016) and is also widely used in other food industries (Porep, Kammerer, & Carle, 2015;Sorensen, 2009). FT-NIRs is a practical, rapid and cost-effective technique that can allow the analysis of multiple analytes simultaneously.…”
Section: Introductionmentioning
confidence: 99%