从功能出发的食品机械造型设计

本文论述了食品机械产品造型设计与功能的关系 ,以及围绕功能展开造型活动的设计方法     

应用气相色谱-质谱技术保证农药残留分析质量的研究

应用气相色谱 -质谱 ( GC/ MS)对参加世界卫生组织食品安全项目的农药残留质量保证进行研究 ,讨论了该技术使用的有限性 ,并提出建议。在非最佳设备条件下 ,通过良好的样品制备及有效合理地使用毛细管或填充柱 GC/ MS方法 ,进行有效的、低成本的定性和定量农药残留分析     

Investigation of corrosion and container integrity in metal food containers using scanning electron microscopy-X-ray microanalysis

Scanning electron microscopy and x-ray microanalysis were used to investigate microleakage, two incidences of loss of coating integrity, filiform corrosion, and sulfide black corrosion in enamel-lined metal food containers. Microleakage developed in a canned cheese sauce at the side seam weld and was traced to a hot weld and a cold weld defect. An enamel-blistering problem developed in an aseptically processed milk-based product when the tinplate was heated above its melting point; the tin melted under the enamel coating, causing the blistering. An enamel-blistering problem, due to silicon contamination of the metal surface prior to enameling, developed on the bottom of a two-piece can that contained a chicken-based product. A sulfide black problem developed in canned clams, caused by scratches in the coating that were introduced during can manufacturing. A filiform corrosion problem developed on the outside of the easy score line of enameled tinplate lids with a light tin coating 0.08 microns thick.     

Adhesion of edible oils to food contact surfaces

Adhesion of oils and fatty food products to packages is an important storage problem, because it increases product-package interactions that alter quality. Reducing such adhesion would also allow savings in recycling and cleaning processes. The aim of our work was to test if some thermodynamical adhesion models were correlated to edible oils’ bulk adhesion as measured experimentally. Food-contact surfaces were low-density polyethylene, polyethylene teraphthalate, stainless steel, and glass. The Young-Dupré equation and five models of adhesion from the literature were used to calculate solids’ surface tension and the thermodynamical work of adhesion (Wa). The dispersive, polar, acid-base, and hydrogen surface tension components of oils and solids were calculated. The experimental adhesion, or amount of edible oils remaining on solid surfaces after contact, was found to be correlated to Young-Dupré Wa, involving contact angle measured by specially designed image analysis technique. Two models, involving, respectively, surface tension’s hydrogen component and a linear dependence of Wa^p on the liquid polar surface tension component, fitted best with oil bulk adhesion as measured experimentally. Our theoretical approach to fatty food material adhesion seems, so far, consistent to predict global residues of edible oils on solid surfaces.     

Different strategies for selective monoacylation of hexoaldoses in acetone

Experimental protocols for the selective production of 6-O-acylhexoaldose emulsifiers from precursor sugars (mannose, glucose, and galactose) and corresponding fatty acids are compared. The protocols employ an immobilized Candida antarctica lipase in a solvent (acetone) which is both easily eliminated and accepted by the European Economic Community for use as an extraction solvent in the manufacture of foods and/or food additives. This comparative study provides guidelines for selection of appropriate conditions for quantitative monoacylation of aldoses in acetone, on the basis of the solubilities of the precursor sugar and the monoester in acetone at different temperatures. Although relatively low temperatures (<40°C) favor precipitation of glucose monoesters, higher temperatures (e.g., 55°C) should be used to increase solubility of mannose and thus selectivity of the reaction leading to the mannose ester. Galactose is transformed with poor selectivity to the desired monoester by these procedures. Factors affecting the viability of these synthetic reactions in acetone are also discussed.     

Food supply capacity study at global scale

The world population is expected to grow to 10 billion people in 2040, requiring food production at least to triple, as a combined result of population growth and dietary changes. In this study scenarios for food security are developed for 15 major regions of the world. Food production is calculated on a 1°x1° grid basis, using inputs from a digital data base containing soil, climatic, agronomic and demographic data. This allows us to study impacts of different production scenarios and their environmental side effects. Soil area data are derived from the digitized FAO soil map, considered to be representative for soil units on a 1°x1° grid; weather variables of 978 stations are allocated to the grid cells. Food production estimations are made with a simple crop growth module, a soil water balance and a soil nitrogen balance. Calculations are done on a grid basis, each grid cell being characterized by its suitability for arable farming or grassland, soil and climatic conditions and the availability of irrigation water. Results of Yield Oriented Agriculture (YOA) and Environment Oriented Agriculture (EOA) production scenarios on food self-sufficiency are presented. If we assume that there is no limit to transport of food across the globe, YOA allows the entire globe an affluent diet, while EOA allows only a moderate diet. For this scenario, regional self sufficiency indices vary widely: most regions can produce food required for an affluent diet, but not East, South and West Asia that account for 48% of the expected global population in 2040. Also Southeast Asia (9% of expected global population in 2040) and West and North Africa (10%) come close to the lower limit for food self-sufficiency. With EOA, only the former USSR, North and South America, Central and Southern Africa and Oceania can offer their future populations an affluent diet. Southern Asia will experience food shortages even under minimum food demand, and less affluent diets do not provide a solution. In this paper, attention is given to the methodology regarding soils, and to the uncertainty regarding soil and water in input data. Particularly soil suitability for agriculture for each of the grid cells has a large effect on model calculations, as it is a rather rough approximation. Knowledge of soils across the world shows important weaknesses with respect to the extent of coverage, extrapolation of point observations to grid cells, definition of soil characteristics compatible with crop models, and handling of preferential flow in soil profiles. We emphasize the need for digitized, reliable and readily available natural resource information in the fields of soil surveys, climatology, irrigation water availability, land use and land cover. The ultimate goal of the approach is not to predict the future of global agriculture, but to allow decision makers to compare various scenarios for food self-sufficiency, and to raise awareness regarding issues related to food security. In spite of the above-mentioned shortcomings in basic data, it is demonstrated that it is possible to develop the required scenarios now, instead of having to wait on more reliable soil information.     

Residue analysis of 500 high priority pesticides: Better by GC–MS or LC–MS/MS?

This overview evaluates the capabilities of mass spectrometry (MS) in combination with gas chromatography (GC) and liquid chromatography (LC) for the determination of a multitude of pesticides. The selection of pesticides for this assessment is based on the status of production, the existence of regulations on maximum residue levels in food, and the frequency of residue detection. GC-MS with electron impact (EI) ionization and the combination of LC with tandem mass spectrometers (LC-MS/MS) using electrospray ionization (ESI) are identified as techniques most often applied in multi-residue methods for pesticides at present. Therefore, applicability and sensitivity obtained with GC-EI-MS and LC-ESI-MS/MS is individually compared for each of the selected pesticides. Only for one substance class only, the organochlorine pesticides, GC-MS achieves better performance. For all other classes of pesticides, the assessment shows a wider scope and better sensitivity if detection is based on LC-MS.     

新工科背景下食品类专业人才创新实践能力培养模式的构建与实践

食品类专业人才的创新实践能力培养是食品产业的行业需求,该行业仍存在产业规模巨大而创造能力不足的矛盾问题。文章立足于新工科时代背景,结合高校食品学院在教学中存在的问题,从课程体系、资源整合、师资配置3个方面探究食品类专业人才创新实践能力培养模式的构建与实践,以期为增强食品类人才的创新能力和实践能力提供改革思路。     

Portable Food-Freshness Prediction Platform Based on Colorimetric Barcode Combinatorics and Deep Convolutional Neural Networks

Artificial scent screening systems (known as electronic noses, E-noses) have been researched extensively. A portable, automatic, and accurate, real-time E-nose requires both robust cross-reactive sensing and fingerprint pattern recognition. Few E-noses have been commercialized because they suffer from either sensing or pattern-recognition issues. Here, cross-reactive colorimetric barcode combinatorics and deep convolutional neural networks (DCNNs) are combined to form a system for monitoring meat freshness that concurrently provides scent fingerprint and fingerprint recognition. The barcodes—comprising 20 different types of porous nanocomposites of chitosan, dye, and cellulose acetate—form scent fingerprints that are identifiable by DCNN. A fully supervised DCNN trained using 3475 labeled barcode images predicts meat freshness with an overall accuracy of 98.5%. Incorporating DCNN into a smartphone application forms a simple platform for rapid barcode scanning and identification of food freshness in real time. The system is fast, accurate, and non-destructive, enabling consumers and all stakeholders in the food supply chain to monitor food freshness.