水中氟化物现场快速测试盒的研制

基于氟试剂分光光度法的显色原理,采用目视比色法和试剂定量包装技术构建氟化物现场快速测试盒。该测试盒具有便于携带、操作简便、快速、测试结果准确等特点,测试范围为0.05～1.20 mg/L。     

Optimal employment of color attributes to achieve saliency in icon matrix designs

With the wide use of smart devices, through which information is presented in vast quantities, objective guidelines are needed to enable designers to choose appropriate colors for information display. The purpose of this study is to determine which colors are the most eye‐catching in displays that employ icon matrices and thereby provide empirical grounds for strengthening the visual information structure of interface designs. Three attributes of color, which include hue, tone, and color combinations, are examined to optimize the color saliency in information displays. An eye‐tracking study was conducted to evaluate saliency objectively by analyzing fixations of visual attention. Based on the hue‐saturation‐brightness color system, a 5‐by‐5 matrix of 25 color patches was adopted to generate 21 color stimuli. Part I of the study focused on hue and indicated that warm colors are perceptually more eye‐catching relative to cool and neutral colors. Part II of the study investigated tonal influences and revealed that highly saturated colors provoked the greatest visual magnetism against a black background across all hue groups, although there was an alternative tendency for a blue hue. Contrary to expectations, no distinctive patterns were observed among brightness groups. With regard to color combination, Part III of the study provided empirical verification that high contrast between a foreground and a background generates a more dominant conspicuity. The results of the present study can be applied in designing electronic interfaces that display icon matrices to create effective communication by guiding visual attention and increasing aesthetic satisfaction. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 429–436, 2015     

Color and visual complexity in abstract images: Part II

There are a limited number of studies examining color, visual complexity, and visual interest together, and one of the recent studies that tried to bring a new understanding to the association between color, visual complexity, and visual interest was the first part of the current study. Most of the well‐known color studies researching the effects of color on psychology, physiology, emotion, mood, attention, well‐being, visual complexity, and visual interest used isolated color patches that might be lacking in reflecting the dominating factors. Thus, the aim of this study was to find the relationship between visual complexity, visual interest, and color difference (ΔE) values of colors in abstract images, and it was hypothesized that, as the average ΔE value of colors in an abstract image increases, visual interest and visual complexity will increase until reaching a threshold where visual interest and visual complexity start to decrease. In order to test the hypothesis, a new abstract image was generated and colored. The generated abstract image was rated by 120 undergraduate students from the Faculty of Art, Design and Architecture. As the results of the study indicated, there was an inverted U‐curve relationship between average ΔE values and both visual interest and visual complexity in abstract images.     

DEEP FAT FRYING OF POTATO STRIPS—QUALITY ISSUES

Moisture loss and oil adsorption kinetics, structural properties (apparent density, true density, specific volume and internal porosity), color changes and viscoelastic behavior (compression tests, crispness) were investigated during deep fat frying of french fries. The effect of frying conditions (oil temperature, sample thickness and oil type), drying pretreatment and osmotic dehydration pretreatment on the above properties was also examined. The results showed that oil temperature and thickness of potato strips have a significant effect on oil uptake, moisture loss and color parameters of french fries, while the use of hydrogenated oil in the frying medium does not affect these properties. The porosity of french fries increases with oil temperature increases and sample thickness and it is higher for products fried with hydrogenated oil. Maximum stress and maximum strain increase during frying, while crispness of potato strips is higher for hydrogenated oil, and lower for refined oil. Air drying and osmotic pretreatment increase porosity of fried potatoes but decrease their oil and moisture content. A negative effect on color development with drying time was also observed. Pre-fry drying as well as osmotic pre-treatment increases the maximum stress and maximum strain of french fries during frying. Air drying pre-treatment increases the crispness of potato strips while osmotic pre-treatment does not affect it, with the exception of sugar solutions.     

DEEP FAT FRYING OF POTATO STRIPS—QUALITY ISSUES

Moisture loss and oil adsorption kinetics, structural properties (apparent density, true density, specific volume and internal porosity), color changes and viscoelastic behavior (compression tests, crispness) were investigated during deep fat frying of french fries. The effect of frying conditions (oil temperature, sample thickness and oil type), drying pretreatment and osmotic dehydration pretreatment on the above properties was also examined. The results showed that oil temperature and thickness of potato strips have a significant effect on oil uptake, moisture loss and color parameters of french fries, while the use of hydrogenated oil in the frying medium does not affect these properties. The porosity of french fries increases with oil temperature increases and sample thickness and it is higher for products fried with hydrogenated oil. Maximum stress and maximum strain increase during frying, while crispness of potato strips is higher for hydrogenated oil, and lower for refined oil. Air drying and osmotic pretreatment increase porosity of fried potatoes but decrease their oil and moisture content. A negative effect on color development with drying time was also observed. Pre-fry drying as well as osmotic pre-treatment increases the maximum stress and maximum strain of french fries during frying. Air drying pre-treatment increases the crispness of potato strips while osmotic pre-treatment does not affect it, with the exception of sugar solutions.     

亚硝酸根试纸的开发与研制

本文通过实验确定了一种检测亚硝酸根含量试纸的制备方法。通过实验确定了试纸的材料和显色剂，并对显色剂制备过程中的影响因素进行了分析．实验结果表明：定性中速滤纸可以作为亚硝酸根试纸的材料；含有4-氨基苯磺酰胺和N-1-萘基乙二胺盐酸盐的显色剂A及含有1：1的α-萘胺溶液和对氨基苯磺酸溶液的显色剂B，按1：1混合后可以作为显色剂；通过应用实验表明，亚硝酸根试纸具有体积小、便于携带、检测方便、成本低廉等特点。因此，具有广泛的应用价值和市场开发前景。     

A novel approach to color matching of automotive coatings

The coatings industry requires a fast and accurate color formulating process. Today the manual/visual color matching procedures are time consuming and require high skills, in particular when metallic and pearlescent colors are involved. For that reason, a new approach to the colorimetry of paints was followed. This resulted in the development of a system employing an easy to use instrument and powerful software allowing instant formulation of almost any desired color. The system comprises a portable multi-angle spectrophotometer in combination with a personal computer and dedicated color matching software. Development of both the instrument and the software resulted from research on optics, vision science, color mixing properties and computational procedures. In the software new algorithms describing the light-paint interactions (absorption and scattering) and the procedures applied at on site color matching are imbedded. The system retrieves the optimum paint formula through fully automated multi-angle spectral measurements followed by an analysis of the spectra and subsequent data bank search. When desired, correction procedures allow adjustment of the formula through additional measurements on a spray out sample.     

可视化高通量检测天冬氨酸转氨甲酰酶活性的方法

天冬氨酸转氨甲酰酶（ATCase）是嘧啶生物合成途径的第一个酶，其活性的反馈调节机制在控制嘌呤和嘧啶合成途径的平衡中起重要作用。目前，检测该酶活性的方法是基于安替比林和2,3-丁二酮肟的显色法。然而，该方法需先避光反应16h，再在45℃水浴30min并均匀光照，操作比较繁琐。本研究以对二甲氨基苯甲醛（PDAB）盐酸溶液为显色试剂，建立了一种检测ATCase活性的方法。该方法的原理是ATCase催化产生的N-氨甲酰基-L-天冬氨酸（N-CP-L-Asp）与PDAB在室温下反应15min，可生成黄色物质并能通过比色法定量检测。研究表明，在0.1~5mmol/L N-CP-DL-Asp的浓度范围内，黄色随化合物浓度的增加而加深，且在438nm的吸光度具有良好的线性关系，精密度RSD为0.87%~1.52%，加标回收率为96.6%~101.9%。该方法成功用于重组表达ATCase的活性测试，测得比酶活为56.83U/mg。该方法可以高效、快速和可视化地检测ATCase的活性，并且可以通过酶标仪实现高通量检测。     

Opal photonic crystal double-network hydrogel for visual detection through structural color and fluorescent responsiveness

Photonic crystal hydrogels are widely used in the field of visual detection, based on the response of the structural color to external stimulus, such as pH, temperature, near-infrared light, and so on. Here, we develop an opal photonic crystal hydrogel by combining polystyrene (PS) photonic crystals with a fluorescent double-network hydrogel and focus on both its visual detection function and mechanical property. The opal hydrogel is composed of nanocomposite hydrogel as the first network and ionic crosslinked hydrogel as the second network. The introduction of PS photonic crystals and terbium ions endows the opal hydrogel distinctive structural colors and fluorescence, respectively. Because of volume changes, the structural color of the opal hydrogel selectively responses to metal ions and organic solvents. Attributing to the ion exchange interaction, the opal hydrogel exhibits fluorescent responses to various metal ions. Combining the responsiveness of structural color and fluorescence, a visual dual-detection mode is set up, with better detection sensitivity and selectivity. Moreover, the characteristics of nanocomposite and double-network crosslinking ensure the opal hydrogel enough mechanical properties to undergo cycle visual detection. Consequently, the fabricated opal hydrogel is promising for use in visual detection to multiple substances in single- or dual-detection mode.     

Color‐difference formula performance for several datasets of small color differences based on visual uncertainty

Visual uncertainty, while reported, is not used routinely when evaluating color‐difference formula performance in comparison with visual data; rather, data are analyzed assuming no uncertainty; that is, repeating the experiment would result in the identical average results. Previously, Shen and Berns developed three methods to determine whether a color‐difference formula was well‐fitting, under‐fitting, or over‐fitting visual data when visual uncertainty was considered, the method dependent on how the uncertainty was reported and the colorimetric sampling of the color‐difference stimuli. The “nonellipsoid standard error method” was used in the current analyses. Three datasets were evaluated: BFD‐P, Leeds, and Witt. For the BFD‐P data, incorporating visual uncertainty led to the same performance results as the average results, that CIEDE2000 was an improvement over CIE94, which was an improvement over CIELAB. For the Witt data, incorporating visual uncertainty led to the same performance results as the average results, that CIEDE2000 and CIE94 had equivalent performance, both an improvement over CIELAB. However, both formulas under‐fitted the visual results; thus, neither formula was optimal. For the Leeds dataset, the visual uncertainty analysis did not support the improvement of CIEDE2000 over CIE94 that occurred when evaluating the average results. Both formulas well fit the visual data. These analyses also provided insight into the tradeoffs between the number of color‐difference pairs and the number of observations when fitting a local contour of equal perceived color difference: In particular, increasing the number of observations was more important than increasing the number of color‐difference pairs. Finally, average standard error could be used to approximate visual uncertainty defined using STRESS. © 2010 Wiley Periodicals, Inc. Col Res Appl, 2011     

Insight into color aesthetics from probabilistic perception modeling

A model of human visual perception is described. An observer is represented having no a‐priori preference for color or geometric properties of the objects in his visual field. The model includes computational representations of effectiveness and efficiency of visual memory allocation that are both based on likelihood. In the computations, the colorimetric quantities color difference, chroma, and lightness are of fundamental importance, being the state variables of model. Computer experiments are carried out verifying the validity of the model. Multiple corroborations between model outcome and commonly observed phenomena are pinpointed, indicating that aesthetical experience denotes an optimal state of visual system as to processing efficiency.     

Color and semiotics: A two-way street

The aim of this article is twofold: to make semioticians interested in visual semiotics better acquainted with the very elaborate aspects of color theory, from which they could take models to develop other aspects of visual semiotics, and to make color theorists more familiar with general semiotics, a paradigm that can encompass and organize the whole study of color. General semiotic notions are described and illustrated with examples taken from the domain of color, and an account of some of the advances of color theory is given within the framework of semiotic categories. Aspects such as color semantics, color grammar, color harmony, color combinations, and others, are reviewed. © 1998 John Wiley & Sons, Inc. Col Res Appl, 23: 390–401, 1998     

Evaluation of performance of various color‐difference formulae using an experimental black dataset

The objective of this study was to develop a specific visual dataset comprising black‐appearing samples with low lightness (L* ranging from approximately 10.4 to 19.5), varying in hue and chroma, evaluating their visual differences against a reference sample, and testing the performance of major color difference formulas currently in use as well as OSA‐UCS‐based models and more recent CAM02 color difference formulas including CAM02‐SCD and CAM02‐UCS models. The dataset comprised 50 dyed black fabric samples of similar structure, and a standard (L*= 15.33, a* = 0.14, b* = ?0.82), with a distribution of small color differences, in ΔE^*_ab, from 0 to approximately 5. The visual color difference between each sample and the standard was assessed by 19 observers in three separate sittings with an interval of at least 24 hours between trials using an AATCC standard gray scale for color change, and a total of 2850 assessments were obtained. A third‐degree polynomial equation was used to convert gray scale ratings to visual differences. The Standard Residual Sum of Squares index (STRESS) and Pearson's correlation coefficient (r), were used to evaluate the performance of various color difference formulae based on visual results. According to the analysis of STRESS index and correlation coefficient results CAM02 color difference equations exhibited the best agreement against visual data with statistically significant improvement over other models tested. The CIEDE2000 (1:1:1) equation also showed good performance in this region of the color space. © 2013 Wiley Periodicals, Inc. Col Res Appl, 39, 589–598, 2014     

The CIE 1976 Color-Difference Formulae

The International Commission on Illumination (CIE) has recommended the use of two approximately uniform color spaces and associated color-difference formulae chosen from among several of similar merit to promote uniformity of practice. In this paper, the various features of the two formulae are discussed and compared. It is shown that the two are approximately equal in their degree of agreement with visual judgements of color difference. Choice of which formula to use in a particular situation will often depend not so much on scientific merit as on other factors such as familiarity and conformance to common practice in a particular industry or group.     

Multiple roles of color information in the perception of icon‐type images

Despite the ubiquity of icons in computing and mobile devices, the role of color in icon‐based interface design has yet to be fully elucidated. This study began by conducting a card sorting experiment to determine the importance of color in the perception of commercial icons, as opposed to the simpler icons typically used in a laboratory setting. The study also sought to ascertain the importance of color when considered alongside other visual attributes in the general perception of icons. Participants were then asked to answer preset questions as a means of determining the relationship between the known color properties (e.g., hue, saturation, and brightness) of icons and their functional meaning, effectiveness in conveying meaning, and visual attractiveness. Finally, the speed and accuracy was assessed by which participants recognized well‐known icons rendered using familiar and unfamiliar colors. The empirical results identified color as an important attribute in the process of sorting icons, far exceeding other visual attributes including shape, complexity, pictorial style, and orientation. Nonetheless, it appears that color is not necessarily dominant in the initial stages of sorting. The results also revealed that color is closely related to visual attractiveness but largely irrelevant to effectiveness in the conveyance of meaning. The study also confirmed that correct color information is crucial to naming accuracy and the speed at which icons are recognized. Finally, the results indicate that icons lacking a unique symbol as a cue to recognition rely heavily on their signature color for identification. This study opens up several avenues of research by which to enhance our understanding of the functional role of color in icon perception.     

Color tolerance prediction for recycled paper based on consumers' awareness

Consumers' tolerance of the color of recycled paper was evaluated by the visual assessment of such paper by 30 Japanese university students. The assessment was performed to measure color tolerance using 266 color samples in eight conditions specifying the situation of paper as (1) “either paper is recycled or not recycled,” (2) “whether you will buy/use,” and (3) “use for office paper or for workbook paper.” The responses of the subjects were sorted out quantitatively in terms of the colorimetric values of color samples and then correlated with International Organization for Standardization (ISO) brightness and CIE whiteness. Both the ISO brightness and CIE whiteness were found to be dependent on hue factors and also to be restricted for use in direct representation of the consumers' responses to paper quality. Since the consumers' evaluation of paper quality is due to visual whiteness, we propose a new equation to predict the consumers' tolerance of paper color, in which the equation contains two factors concerning the color distance from the white point and the hue impact. The new tolerance equation was confirmed to predict the consumers' tolerance successfully, particularly when the consumers are aware that the paper is recycled. © 2011 Wiley Periodicals, Inc. Col Res Appl, 2011     

The relationship between visual acuity and color contrast in the OSA uniform color space

OSA uniform color space was used to study the relationship between visual acuity and OSA color contrast. Visual acuity is characterized by 50% minimal separable visual angle using Landolt-C. The OSA color contrast is characterized by the distance between colors in OSA color space. Twenty subjects with normal color vision were tested on 342 test sheets printed with colored Landolt-Cs and background. These results demonstrated that MSVA is approximately inverse log-linearly related to OSA color contrast (R² = 80.4%). Although luminance contrast (R² = 54.2%) is more salient than chromatic contrast (R² = 16.4%), both contrasts can induce very high visual acuity provided that they are sufficiently high. There is also evidence of an additive interaction between chromatic contrast and luminance contrast. Based on these findings, the OSA uniform color space and its color difference formula can be used as a scale for quantifying color contrast to accurately predict the size of colored text or symbols. © 1996 John Wiley & Sons, Inc.     

Chromatic adaptation and color constancy: A possible dichotomy

Differences between chromatic adaptation and color constancy are discussed, in order to call into question the commonly held view that chromatic adaptation is the mechanism of color constancy. Whereas chromatic adaptation requires many seconds of time and occurs for simple visual scenes, color constancy asserts itself immediately and is most powerful in complex visual scenes. Furthermore, models of chromatic adaptation are not so illuminant invariant as other models of color vision. Therefore, a new operational foundation for color constancy is proposed, and existing non-adaptation models of color constancy are enumerated for future tests.