叶绿素荧光成像无损检测不同温度下菜用大豆的腐烂

Yu Li, Y. Makino, Zhengqiao Duan, M. Yoshimura, I. Sotome
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引用次数: 1

摘要

植物大豆(“Edamame”)已成为最具商业价值的食品之一,它们因其美味、营养价值丰富、作物周期短和出口价值而广受欢迎。植物大豆是蛋白质、单不饱和脂肪酸(不含胆固醇)、抗癌异黄酮、膳食纤维、维生素C(抗坏血酸)、维生素E(生育酚)和植物雌激素的良好来源(Johnson等人,1999年;Miles等人,2000年)。因此,植物大豆作为一种对消费者健康的农产品具有很高的商业价值。然而,在东亚,作为蔬菜大豆生产的主要地区,收获期主要在夏季。由于气候炎热和它们的主动呼吸,蔬菜大豆在收获后很容易腐烂(Sugimoto等人,2010)。因此,随着全球对优质蔬菜大豆需求的快速增长,有必要研究如何评估蔬菜大豆的质量和预测其保质期。叶绿素浓度、维生素C和酶等化学参数(Wang et al.,2017)已被用于评估水果和蔬菜的质量,但获得这些指标的过程具有破坏性。因此,开发一种无创、无化学物质的方法来评估水果和蔬菜的质量是很重要的。叶绿素荧光技术与光合作用反应密切相关,具有无损、客观紧凑的优点。它已被广泛应用于植物光合作用(Baker,2008)、植物逆境和胁迫(Omasa,1990;Calatayud等人,2006)和植物病理学(Meyer等人,2001)的研究。消费者对蔬菜大豆的主要需求是良好的豆荚外观,尤其是表面颜色,豆荚颜色应该是亮绿色,没有变黄的迹象(Konovsky等人,1994)。绿色的损失表明新鲜度下降和叶绿素降解。叶绿素含量的降低是由于叶绿体的分解。这将导致光合活性的降低。考虑到叶绿素荧光来源于与光系统II(PSII)相关的光激发叶绿素分子(DeEll等人,1999;Maxwell和Johnson,2000;Henriques,2009),水果和蔬菜的成熟和衰老可能会影响叶绿素荧光产量。在此基础上,近几十年来,叶绿素荧光技术也被用于研究园艺产品的成熟和衰老(DeEll等人,1999;DeEll和Toivonen,2003;Gorbe和Calatayud,2012),包括苹果(DeEll,1999)、香蕉(Smillie等人。,
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nondestructive Detection of Decay in Vegetable Soybeans Stored at Different Temperatures Using Chlorophyll Fluorescence Imaging
Vegetable soybeans (Glycine max (L.) Merr.) (“Edamame”) have emerged as one of the most commercially important foods, and they are very popular because of their delicious taste, rich nutritional value, short crop cycle, and export value. Vegetable soybeans are a good source of protein, monounsaturated fatty acids (with no cholesterol), anti-carcinogenic isoflavones, dietary fiber, vitamin C (Lascorbic acid), vitamin E (tocopherols), and phytoestrogens (Johnson et al., 1999; Miles et al., 2000). From this, vegetable soybeans have high commercial value as an agricultural product that is healthy for consumers. However, in East Asia, which is the main region of vegetable soybean production, the harvest period is mainly during summer season. Because of the climatic heat and their active respiration, vegetable soybeans are very vulnerable to perishing after harvest (Sugimoto et al., 2010). Therefore, with the rapid worldwide increase in demand for high-quality vegetable soybeans, there is a need for research on how to evaluate the quality and predict the shelf-life of vegetable soybeans. Chemical parameters, such as chlorophyll concentration, vitamin C, and enzymes (Wang et al., 2017) have been used to evaluate the quality of fruits and vegetables, but the process of obtaining these indicators is destructive. Hence, it is important to develop a non-invasive and chemical-free method for estimating the quality of fruits and vegetables. Chlorophyll fluorescence technology, which is related strongly to the photosynthesis reactions, has the advantages of causing no damage and being both objective and compact. It has been widely applied to studies of plant photosynthesis (Baker, 2008), plant adversity and stress (Omasa, 1990; Calatayud et al., 2006), and plant pathology (Meyer et al., 2001). Consumers’ primary demand for vegetable soybeans is good pod appearance, the surface color in particular, and the pods color should be bright green with no sign of yellowing (Konovsky et al., 1994). The loss of green color is indicative of declining freshness and chlorophyll degradation. The decrease in chlorophyll content is due to the decomposition of chloroplast. This will lead to the reduction of photosynthetic activity. In consideration of the chlorophyll fluorescence originates from light-excited chlorophyll a molecule associated with photosystem II (PSII) (DeEll et al., 1999; Maxwell and Johnson, 2000; Henriques, 2009), the ripening and senescence of fruits and vegetables may affect the chlorophyll fluorescence yield. Upon that, in recent decades, chlorophyll fluorescence technology has also been used to investigate the ripening and senescence of horticultural products (DeEll et al., 1999; DeEll and Toivonen, 2003; Gorbe and Calatayud, 2012), including apple (DeEll, 1999), banana (Smillie et al.,
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