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NIR spectroscopic sensing for point-of-need freshness assessment of meat, fish, vegetables and fruits

机译:NIR光谱感应可用于肉,鱼,蔬菜和水果的新鲜度评估

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摘要

Foodborne illness represents a significant health burden worldwide. While monitoring the freshness of food before consumption could significantly improve the current predicament, there is a lack of a simple system that one can use to accurately assess the freshness of their food. Currently, the most common practice for food quality determination is by visual or odor inspection which lacks objectivity, accuracy and precision. Near infrared (NIR) spectroscopic techniques can help address this problem by providing rapid and non-destructive means to estimate the freshness state of various foods based on the changes to their characteristic spectra in the NIR region. Recent advancements in the development of portable NIR spectrometers are also enabling the realization of this technique at the point-of-need. In this study, we have evaluated the feasibility of using NIR spectroscopy at the point-of-need to estimate the freshness of various foods including: beef sirloin, beef eyeround, pork sirloin, bass, salmon, corvina, tomato and watermelon. Using a commercial portable NIR spectrometer, we periodically scanned and collected NIR spectra from the food items that were stored at 4℃ inside a refrigerator for up to 30 days. For these food items, we show that the NIR spectra can be classified by the foods' aging day as well as by the levels of chemical/microbial indicators (i.e., thiobarbituric acid, volatile basic nitrogen and bacteria levels) with high accuracy, which represents high prospects of NIR spectroscopy for point-of-need freshness assessment of meat, fish, vegetables and fruits.
机译:食源性疾病在全球范围内代表着巨大的健康负担。虽然在食用前监控食物的新鲜度可以显着改善当前的困境,但缺乏一种简单的系统可用于准确评估食物的新鲜度。当前,最常见的食品质量测定方法是目视或气味检查,缺乏客观性,准确性和精确性。近红外(NIR)光谱技术可通过提供快速且无损的方法来评估各种食品的新鲜度,从而基于NIR区域中特征光谱的变化来帮助解决此问题。便携式近红外光谱仪开发的最新进展也使这种技术在需要时得以实现。在这项研究中,我们评估了在需要时使用NIR光谱法评估各种食品的新鲜度的可行性,这些食品包括:牛s,牛眼,猪肉pork,鲈鱼,鲑鱼,鲑鱼,科尔维纳,番茄和西瓜。我们使用商用便携式NIR光谱仪,定期扫描并收集从4℃冰箱中储存的食品中的NIR光谱长达30天。对于这些食品,我们显示可以通过食品的老化日以及化学/微生物指标(例如,硫代巴比妥酸,挥发性碱性氮和细菌水平)的水平对NIR光谱进行高精度分类,这代表了近红外光谱技术可用于肉,鱼,蔬菜和水果的新鲜度评估。

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  • 来源
  • 会议地点 Anaheim(US)
  • 作者单位

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Next Generation Element Lab, Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

    Advanced RD Team, Digital Appliances Business, Samsung Electronics Co., Ltd., Suwon, Republic of Korea;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    NIR spectroscopy; portable NIR spectrometer; food freshness tracker; food quality sensor;

    机译:近红外光谱便携式近红外光谱仪食品新鲜度跟踪器;食品质量传感器;

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