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食品貨架期預(yù)測(cè)研究進(jìn)展與趨勢(shì)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(31371538)和新世紀(jì)優(yōu)秀人才支持計(jì)劃資助項(xiàng)目(NCET-11-0491)


Research Progress and Trend of Food Shelf Life Prediction
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    摘要:

    作為食品領(lǐng)域的重要研究方向,貨架期預(yù)測(cè)已成為國(guó)內(nèi)外研究的熱點(diǎn)問題。在整理和總結(jié)現(xiàn)有相關(guān)研究文獻(xiàn)的基礎(chǔ)上,闡述了食品貨架期預(yù)測(cè)的研究機(jī)理,梳理了相關(guān)研究思路與方法;對(duì)當(dāng)前研究中采用的5種方法(基于化學(xué)動(dòng)力學(xué)的方法、基于微生物生長(zhǎng)動(dòng)力學(xué)的方法、BP神經(jīng)網(wǎng)絡(luò)方法、威布爾危險(xiǎn)值分析方法和Q10模型等基于溫度的方法)進(jìn)行了比較分析;對(duì)應(yīng)用于肉類、水產(chǎn)品、果蔬等不同類別食品并取得良好預(yù)測(cè)效果的品質(zhì)指標(biāo)及所采用的模型方法進(jìn)行了總結(jié)和分析。最后分析了食品貨架期預(yù)測(cè)研究的現(xiàn)狀,并展望了發(fā)展趨勢(shì)。

    Abstract:

    As an important research direction of food sector, shelf life prediction has become a hot topic worldwide. The related research literatures were summarized, the research mechanism and research progress of food shelf life prediction were reviewed, and the related research ideas and research methods were clarified. Five types of research methods were analyzed and compared, including the method based on chemical kinetics, the method based on growth kinetics of microbial, the method of back propagation (BP) neural networks, the method of Weibull hazard analysis and the method based on temperature such as Q10 model. Quality indexes and research models used in different kinds of foods’ shelf life prediction, such as meat, aquatic product, fruits and vegetables, which were proved to be available to achieve good results, were summarized. Finally, the status of food shelf life prediction research was analyzed and its development tendency was presented in the respects of research mechanism, study object and its surroundings, research applications and dynamic monitoring. Analysis indicates that food shelf life prediction tends to be more accurate and utility.

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陳曉宇,朱志強(qiáng),張小栓,穆維松,傅澤田.食品貨架期預(yù)測(cè)研究進(jìn)展與趨勢(shì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(8):192-199. Chen Xiaoyu, Zhu Zhiqiang, Zhang Xiaoshuan, Mu Weisong, Fu Zetian. Research Progress and Trend of Food Shelf Life Prediction[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(8):192-199.

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  • 收稿日期:2014-10-31
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  • 在線發(fā)布日期: 2015-08-10
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