用于果蔬内部品质无损检测的NIRS技术新进展

文中对近红外光谱在水果和蔬菜内部品质检测研究中的最新进展进行了介绍,总结了光谱检测和光谱信号处理中新颖技术的应用及便携式检测系统的发展状况,分析了近红外光谱技术在果蔬内部品质检测中存在的问题和发展方向.     

近红外光谱检测技术在仓储害虫识别中的应用

简要介绍了近红外光谱检测技术的发展过程及在仓储害虫识别应用中的基本原理,通过对近红外光谱检测技术在国内外仓储害虫识别中的发展状况的分析,提出了在仓储害虫识别中采用近红外光谱检测技术与图像处理识别技术结合的研究新思路。     

近红外光谱技术在种子硬实检测中的研究进展

近红外光谱分析技术由于其独特的技术优势在许多领域中已得到广泛应用。简要阐述了近红外光谱分析技术的概念及其在无损检测中的应用情况,综述了近红外光谱技术在种子硬实测定中的应用情况,在此基础上介绍了利用近红外光谱分析技术测定种子硬实率的方法,并提出了存在的问题及发展方向。     

近红外光谱技术在油茶籽粕检测中的应用

以近红外光谱技术在油茶籽粕检测中的应用为研究对象,在简单介绍近红外光谱技术的原理、特点及分析过程的基础上,详细阐述了该技术在油茶籽粕检测中的建模过程,为后续工作者更好地建立油茶籽粕近红外光谱分析模型提供理论依据和指导。同时,通过分析近红外光谱技术在油茶籽粕检测指标、标准制定以及模型转移技术中的发展,总结出该技术在油茶籽粕检测中的三个研究方向：开拓新项目的模型建立、制定普遍适用的标准、解决台间差并完成模型转移。油茶籽粕广泛应用于动物饲料、特医食品、保健食品等行业,因此大力开拓和推广近红外光谱技术在油茶籽粕检测中的应用是必然趋势。     

水果内部品质近红外动态在线检测研究进展

近红外光谱技术具有无损检测、分析效率高、速度快、重现性好,适于现场检测和在线分析等特点,并已渗入到各个领域,在提高生产技术水平和改善产品质量方面发挥着重要作用。本文简述了水果近红外光谱在线检测原理和方式及动态在线检测装置的组成,并介绍了在线检测的控制过程及在线检测分析软件。总结了国内外近红外光谱技术在水果内部品质在线检测与分级方面的应用情况,并分析水果内部品质在线检测与分级中存在的问题,指出了水果内部品质近红外光谱在线检测的进一步研究方向。     

近红外光谱技术在水果品质无损检测中应用的研究与现状

简单概述了我国水果产业的发展现状,着重阐述了国内外利用近红外光谱技术进行水果品质无损检测的最新研究进展,分析了当今研究中存在的问题,并对利用近红外光谱技术进行水果检测的前景进行了展望,提出了一些建议。     

水果品质近红外检测技术的研究现状与发展

简单概述了我国水果产业的发展现状,着重阐述了国内外利用近红外光谱技术进行水果品质无损检测的最新研究成果,分析了当今研究中存在的问题,提出了利用近红外光谱技术进行水果检测的发展方向。     

近红外光谱技术在食品安全检测中的应用

对近红外光谱(NIR)技术在食品安全检测方面的原理及其主要应用进行了综述。作为一种方便、快捷、高效的检测技术,近红外光谱技术在农作物、果蔬、肉制品检测及其他方面都有独到的优势和广阔的发展前景。     

近红外光谱检测技术在塑料分选中的应用进展

近红外光谱检测技术(NIRS)在塑料分选中的应用旨在对塑料种类与组份进行识别,从而提高回收效率最终实现资源的综合利用。本文首先介绍传统塑料分选技术发展;其次概述近红外检测技术原理与其在塑料领域的应用现状;最后对在塑料分选领域应用前景进行了总结与展望。在塑料分选领域,近红外光谱检测技术相比传统的物理和化学检测方法,具有快速、无损、高效等明显的优势,可通过实时、在线检测,定性与定量的方式对未知样品进行识别与分选。尽管该技术在一些实验研究中已经取得了显著的阶段性成果,但在实际工程应用特别是检测的精准度,外延新的应用场景等方面仍需进一步研究和优化。     

AOTF近红外光谱技术及在食安领域的应用

针对近年来多发的食品安全问题,概括性地介绍了近红外光谱分析技术的原理、近红外光谱仪器分类、优势对比及其在食品质量与安全检测中的研究和应用情况。同时,探索性地提出了一种新型的食品安全网络测试分析系统,该系统是由多台基于声光可调滤波器的近红外光谱分析仪器联网组成的。并介绍了该光谱仪器的组成、原理及技术特点,对其在食品安全领...     

脑机接口中脑电图-近红外光谱联合分析进展研究

脑机接口(BCI)能将受试者意图相关的大脑活动转化为外部设备控制指令,在神经疾病治疗、运动康复等方面具有较高应用潜力。BCI的实现需从人脑获取有意义的信号,而脑电图(EEG)可以反映神经电活动,主要用于对反映实时性要求较高的BCI系统;近红外光谱(NIRS)主要反映血流动力学水平,一般用于神经生理状态等需要精确定位脑活跃区域的研究。EEG和NIRS因其非侵入、方便穿戴、成本较低等优点,成为BCI的重要信号获取方法。相比于单模态BCI系统,基于EEG-NIRS 联合分析的混合BCI系统由于具有更丰富的信号特征,在生理状态检测、运动想象等领域得到了越来越多的关注与研究。该文从EEG-NIRS联合分析在脑机接口中应用的研究现状出发,在数据和特征融合程度、层面上归纳最近的相关领域研究现状,并对EEG-NIRS信号处理手段的研究前景进行了展望。     

组织血氧参数近红外无损检测技术及自主创新之路

用近红外光谱方法无损、实时、连续检测人体组织中的血氧参数,可直接得到大脑皮层、肌肉等组织中微细血管血液的氧饱和度、血红蛋白浓度的平均值.与有创血气分析和检测指端脉搏血氧饱和度等现有技术相比,具有不可替代的特色和优势.本课题组通过10余年的不懈努力,在原理算法、测试技术、临床应用等方面取得了大量创新性的成果.现已成功地将实验室样机转化为具有独立自主知识产权、达到国际先进水平的产品(TSAH-100).在新生儿医学、运动医学、组织移植、体外循环、药物疗效评定、基础研究等领域得到推广应用,已测试900余例受试者.在长期的工作中,建立了高校、医院、企业紧密合作的科研体制,为研发具有自主知识产权的先进医疗仪器提供了有益经验.     

用多层Monte—Carlo模型研究脑部光学无损的问题

利用近红外光对人脑进行无损检测有良好的应用前景。然后脑部客观存在的多层结构使人位对从较深部位提取有用信息产生疑问。本文利用Ｍｏｎｔｅ－Ｃａｒｌｏ方法对人头部建立了光传播的多层模型,对光在头部的传播模式和脑部结构对提取深部信息的影响得出了一些结果,本文结果表明,由于脑脊液透明层的存在,使近红光在头部能够探测较深部位珠生理参数变化但难于获得较好的空间分辨能力。     

CMOS silicon avalanche photodiodes for NIR light detection: a survey

This paper surveys recent research on CMOS silicon avalanche photodiodes (SiAPD) and presents the design of a SiAPD based photoreceiver dedicated to near-infrared spectroscopy (NIRS) application. Near-infrared spectroscopy provides an inexpensive, non-invasive, and portable means to image brain function, and is one of the most efficient diagnostic techniques of different neurological diseases. In NIRS system, brain tissue is penetrated by near-infrared (NIR) radiation and the reflected signal is captured by a photodiode. Since the reflected NIR signal has very low amplitude, SiAPD is a better choice than regular photodiode for NIR signal detection due to SiAPD`s ability to amplify the photo generated signal by avalanche multiplication. Design requirements of using CMOS SiAPDs for NIR light detection are discussed, and the challenges of fabricating SiAPDs using standard CMOS process are addressed. Performances of state-of-the-art CMOS SiAPDs with different device structures are summarized and compared. The efficacy of the proposed SiAPD based photoreceiver is confirmed by post layout simulation. Finally, the SiAPD and its associated circuits has been implemented in one chip using 0.35 μm standard CMOS technology for an integrated NIRS system.     

WHITE ASPARAGUS HARVEST DATE DISCRIMINATION USING NIRS TECHNOLOGY

Asparagus is still an important resource for mid-size and small farms. It has been traditionally believed that factors such as the asparagus harvesting date have an influence on its quality. This research sought to identify the harvesting dates of different fruits by using Near Infrared Spectroscopy (NIRS) technology as quality indicators and the best zone a long of the asparagus to acquire the spectrum. All the asparagus tested came from the same manufacturer but had been canned on three different dates, giving a total of nine lots. There were one hundred asparagus per lot and the experiment data were taken from three different parts (tip, middle, and base) of each spear. Reflectance spectrum in the near infrared between 800–1700 nm was determined. Differences NIRS among the asparagus harvested on different dates were found. NIRS technology was able to classify the asparagus correctly in terms of harvest dates (71% well classified). The base of the asparagus turned out to be the best part to use in order to establish the harvest date.     

用近红外光谱检测牛奶中的三聚氰胺

研究了用近红外光谱法快速定性和定量检测纯牛奶中三聚氰胺.实验分别配制了两组不同三聚氰胺含量的纯牛奶样品,用于定性和定量分析.通过近红外光谱与聚类分析法相结合,可将含有和不含有三聚氰胺的牛奶样品有效分类;结合光谱预处理和波长选择及模型优化方法建立的检测三聚氰胺的近红外定量分析模型具有较好的稳定性和预测能力.结果表明,近红外光谱分析是一种快速、方便和环保的检测乳制品中三聚氰胺的新方法.     

Selection of the Temperature in the Sugar Content Determination of Kiwi Fruit

In the last few years, the production of kiwifruit (Actinidia deliciosa) has undergone a significant development with increasing international market. Therefore, the use of fast and non-destructive methods for ripening control is desirable. In this sense, NIRS technology (Near Infrared Spectroscopy) has proved to be very useful. The objectives of this work were to estimate the soluble solids content from NIRS technology and to evaluate the influence of the kiwifruit temperature on the NIR measures. A sample of 210 fruits was collected and stored for three months under cold conditions. The NIR measures were done at three kiwifruit temperatures (0.5°C, 10°C and 20°C) and the refractometric index was determined at the end of the experiment. The reflectance spectra in the near-infrared region between 800 and 2500 nm were measured with a Varian CARY 500 spectrophotometer equipped with an integrated sphere to measure reflectance in solid samples. The information has been analysed with Unscramble and SPSS statistical programs, which include a wide range of rapid data-processing applications and procedures, with a large number of options and graphic representations. The test performed for this study are PLS (partial least squares regression) and DA (discriminate analysis). Results showed: the validity of this technology to obtain a relationship between the NIRS and the soluble solids content, and differences on the wavelengths used in the calibrations, depending on the kiwifruit temperature.     

Transaction-level power analysis of VLSI digital systems

The increasing complexity of VLSI digital systems has dramatically supported system-level representations in modeling and design activities. This evolution makes often necessary a compliant rearrangement of the modalities followed in validation and analysis tasks, as in the case of power performances estimation.Nowadays, transaction-level paradigms are having a wider and wider consideration in the research on electronic system-level design techniques. With regard to the available modeling resources, the most relevant framework is probably the transaction-level extension of the SystemC language (SystemC/TLM), which therefore represents the best platform for defining transaction-level design techniques.In this paper we present a macro-modeling power estimation methodology valid for SystemC/TLM prototypes and of general applicability. The present discussion illustrates the implementation modalities of the proposed approach, verifying its effectiveness through a comparison with RTL estimation techniques.     

Effect of 805 nm on reliability of 735/805/850-nm LED involved near-infrared spectroscopy biomedical device

Near-infrared spectroscopy (NIRS) has been widely used in biomedicine due to its capability of noninvasively detecting hemodynamic variations in relative deep tissue. Most NIRS devices utilized multiple-wavelengths integrated LED as the sources, of which the 735/805/850-nm LED was mostly employed. As we known, the 735/850-nm combination is enough for quantifying the changes of oxy-hemoglobin (∆ HbO₂) and deoxy-hemoglobin (∆ Hb). Then how is the effect of the wavelength 805 nm of 735/805/850-nm LED on the measurement reliability? Here we performed blood model experiments with 57 human blood samples and recorded optical density variations at above 3 wavelengths. Both of the least squares method and multi-variable linear regression analysis were used to quantify ∆ HbO₂ and ∆ Hb with three-wavelength combination (735/805/850-nm) and two-wavelength combination (735/850-nm) respectively. By comparing the quantified values with the real values, we found that the results obtained from 735/850-nm combination are more close to reality than the 735/805/850-nm combination. This study reported, for the first time, that 805 nm actually took a negative effect on measurement reliability of NIRS. It indicates to get rid of 805 nm from such LED design to reduce the LED cost and get higher reliability for NIRS instrumentation.