Species-specific detection of processed animal proteins in feed by Raman spectroscopy

Mandrile, Luisa; Amato, Giuseppina; Marchis, Daniela; Martra, Gianmario; Rossi, Andrea Mario

doi:10.1016/j.foodchem.2017.02.089

Cited by 26 publications

(16 citation statements)

References 7 publications

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“…The limitation of a high limit of detection as in NIRS can be avoided, as in visual light microscopy, since every particle is observed (Yang et al 2011;Fernandez-Pierna et al 2012). A comparable approach is the combination of Raman Spectroscopy with microscopy (Mandrile et al 2017). One of the advantages of this combination is that authorised ingredients, milk products in particular, are expected to be correctly not detected, but this advantage was only mentioned and not evaluated further by Mandrile et al (2017).…”

Section: In Situ Combination Of Methodsmentioning

confidence: 99%

“…A comparable approach is the combination of Raman Spectroscopy with microscopy (Mandrile et al 2017). One of the advantages of this combination is that authorised ingredients, milk products in particular, are expected to be correctly not detected, but this advantage was only mentioned and not evaluated further by Mandrile et al (2017). The correct discrimination between prohibited PAPs and legal ingredients originating from the same species is a shared advantage of visual light microscopy, proteinbased methods, and all combination approaches in which microscopy (i.e.…”

Section: In Situ Combination Of Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Bridging legal requirements and analytical methods: a review of monitoring opportunities of animal proteins in feed

Raamsdonk¹,

Prins²,

Meijer³

et al. 2019

Food Additives & Contaminants: Part A

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Availability and safety of food ranks among the basic requirements for human beings. The importance of the food producing sector, inclusive of feed manufacturing, demands a high level of regulation and control. This paper will present and discuss the relationships in the triangle of legislation, the background of hazards with a biological nature, and opportunities for monitoring methods, most notable for prion-based diseases as primary issue. The European Union legislation for prevention of prion-based diseases since 2000 is presented and discussed. The definitions and circumscriptions of groups of species will be analysed in the view biological classification and evolutionary relationships. The state of the art of monitoring methods is presented and discussed. Methods based on visual markers (microscopy), DNA-based methods (PCR), protein-based methods (ELISA, mass spectroscopy, proteomics), near infrared oriented methods and combinations thereof are being evaluated. It is argued that the use in legislation of non-homogeneous groups of species in a biological sense will hamper the optimal design of monitoring methods. Proper definitions are considered to act as bridges between legal demands and suitable analytical methods for effective monitoring. Definitions including specified groups of species instead of single species are more effective for monitoring in a range of cases. Besides the desire of precise circumscription of animal groups targeted by legislation, processed products need well defined definitions as well. Most notable examples are blood versus blood products, and hydrolysis of several types of material. The WISE principle for harmonising the design of legislation and of analytical methods is discussed. This principle includes the elements Witful (reasonable legal principles), Indicative (clear limits between prohibition and authorisation), Societal demands (public health, environment, economy), and Enforceable (presence of suited monitoring methods) in order to promote a balanced effort for reaching the desired level of safety in the food production chain.

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Section: In Situ Combination Of Methodsmentioning

confidence: 99%

Section: In Situ Combination Of Methodsmentioning

confidence: 99%

Bridging legal requirements and analytical methods: a review of monitoring opportunities of animal proteins in feed

Raamsdonk¹,

Prins²,

Meijer³

et al. 2019

Food Additives & Contaminants: Part A

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show abstract

“…However, due to the outbreak of mad cow disease, the use of MBM was restricted by regulation globally [1,2,3]. In order to achieve the sustainable development of the feed industry, the development trend of animal-derived feed regulations could be to identify MBM from different sources [4,5]. Currently, polymerase chain reaction (PCR) and light microscopy are the only two methods authorized by the European Union [1].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Detection of Carnosine and Anserine by UHPLC-MS/MS and Its Application on Biomarker Analysis for Differentiation of Meat and Bone Meal

et al. 2019

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A novel ultra-high performance liquid chromatography (UHPLC) procedure, coupled with tandem mass spectrometry (MS/MS), was established for the analysis of anserine (ANS) and carnosine (CAR) in meat and bone meal (MBM) (bovine, ovine, porcine, and poultry origins). The pretreatment strategies were optimized for four types of MBM samples prior to UHPLC-MS/MS analysis. This method allowed determining CAR and ANS in short analysis time (18 min per sample). The limits of detection (LODs) and limits of quantification (LOQs) of two analytes in four types of MBM samples were in the ranges of 0.41–3.07 ng/g and 0.83–5.71 ng/g, respectively. The recovery rates spiked with low, intermediate, and high levels of two analytes in four types of MBM samples were 48.53–98.93%, 60.12–98.94%, and 67.90–98.92%, respectively. Acceptable inter-day reproducibility (RSD < 12.63%) supported the application of this proposed method for determining CAR and ANS in MBM samples. Overall, this rapid, effective, and robust method was successfully applied for quantitative detection of CAR and ANS in MBM samples. Furthermore, The CAR/ANS ratio was found to be in the decreasing order: porcine > bovine > ovine > poultry MBM. This proposed methodology was novelly applied to identify the biomarker (CAR/ANS ratio) for species-specific identification of MBM.

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“…In addition, some of these methods are not portable, limiting their wider applicability for routine in situ field screening of consumable products. Raman and infrared spectroscopy are non-destructive and rapid techniques that require a small sample size and are capable of solid and liquid sample analysis with little or no sample preparation, making them ideal for fingerprinting, determination of authenticity, and quality assurance of consumable products including edible oils [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ]. Besides, Raman and infrared spectrometers are portable and fairly inexpensive, allowing affordable and fast in situ field screening of consumable products.…”

Section: Introductionmentioning

confidence: 99%

“…Research from our laboratory [ 51 , 52 ] and from other research laboratories [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ] has revealed the potential utility of the combined use of molecular spectroscopy and multivariate regression analysis for food purity analysis and quality assurance of adulterated edible oils and essential oils. However, numerous edible oils of high dietary importance and market values such as highly refined peanut oil (HRPO) that are susceptible to adulteration and/or trafficking are yet to be investigated.…”

Section: Introductionmentioning

confidence: 99%

Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis hypogaea) Oils

Smithson

Fakayode

Henderson

et al. 2018

Foods

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The intake of adulterated and unhealthy oils and trans-fats in the human diet has had negative health repercussions, including cardiovascular disease, causing millions of deaths annually. Sadly, a significant percentage of all consumable products including edible oils are neither screened nor monitored for quality control for various reasons. The prospective intake of adulterated oils and the associated health impacts on consumers is a significant public health safety concern, necessitating the need for quality assurance checks of edible oils. This study reports a simple, fast, sensitive, accurate, and low-cost chemometric approach to the purity analysis of highly refined peanut oils (HRPO) that were adulterated either with vegetable oil (VO), canola oil (CO), or almond oil (AO) for food quality assurance purposes. The Fourier transform infrared spectra of the pure oils and adulterated HRPO samples were measured and subjected to a partial-least-square (PLS) regression analysis. The obtained PLS regression figures-of-merit were incredible, with remarkable linearity (R2 = 0.994191 or better). The results of the score plots of the PLS regressions illustrate pattern recognition of the adulterated HRPO samples. Importantly, the PLS regressions accurately determined percent compositions of adulterated HRPOs, with an overall root-mean-square-relative-percent-error of 5.53% and a limit-of-detection as low as 0.02% (wt/wt). The developed PLS regressions continued to predict the compositions of newly prepared adulterated HRPOs over a period of two months, with incredible accuracy without the need for re-calibration. The accuracy, sensitivity, and robustness of the protocol make it desirable and potentially adoptable by health departments and local enforcement agencies for fast screening and quality assurance of consumable products.

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Species-specific detection of processed animal proteins in feed by Raman spectroscopy

Cited by 26 publications

References 7 publications

Bridging legal requirements and analytical methods: a review of monitoring opportunities of animal proteins in feed

Bridging legal requirements and analytical methods: a review of monitoring opportunities of animal proteins in feed

Simultaneous Detection of Carnosine and Anserine by UHPLC-MS/MS and Its Application on Biomarker Analysis for Differentiation of Meat and Bone Meal

Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis hypogaea) Oils

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