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基于HS-GC-IMS和HS-SPME-GC-MS的蛋白酶對(duì)豆粕揮發(fā)性風(fēng)味的影響分析
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黑龍江省“百千萬”工程科技重大專項(xiàng)(2020ZX08B01-3),、黑龍江省省屬科研院所科研業(yè)務(wù)費(fèi)項(xiàng)目(CZKYF2021-2-B020)和黑龍江省自然科學(xué)基金項(xiàng)目(LH2022C085)


Analysis of Effects of Proteases on Volatile Flavor of Soybean Meal Based on HS-GC-IMS and HS-SPME-GC-MS
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    摘要:

    為研究不同蛋白酶酶解對(duì)豆粕揮發(fā)性風(fēng)味成分的影響,選用4種蛋白酶(堿性蛋白酶,、中性蛋白酶,、木瓜蛋白酶,、風(fēng)味蛋白酶)對(duì)豆粕進(jìn)行酶解,采用頂空-氣相色譜-離子遷移譜(Headspace-gas chromatography-ion mobility spectroscopy,,HS-GC-IMS)和頂空固相微萃取-氣相色譜-質(zhì)譜(Headspace solid phase microextraction-gas chromatography-mass spectrometry,,HS-SPME-GC-MS)聯(lián)用技術(shù)分析不同豆粕酶解物(Soybean meal hydrolysates,SMH)的揮發(fā)性風(fēng)味成分,,并結(jié)合主成分分析(Principal component analysis,,PCA)、熱圖聚類和正交偏最小二乘判別法(Orthogonal partial least squares-discriminant analysis,,OPLS-DA)對(duì)不同SMH進(jìn)行分析,。結(jié)果表明:堿性蛋白酶、中性蛋白酶,、木瓜蛋白酶和風(fēng)味蛋白酶酶解豆粕的揮發(fā)性風(fēng)味成分存在較大差異,。HS-GC-IMS鑒定出84種揮發(fā)性成分,篩選得到33種差異風(fēng)味物質(zhì),,發(fā)現(xiàn)酶解后酮類物質(zhì)顯著降低而醛類,、醇類和酯類物質(zhì)含量明顯增加,。PCA結(jié)果表明不同SMH之間的風(fēng)味存在顯著差異,。最終通過OPLS-DA篩選出貢獻(xiàn)較大的揮發(fā)性化合物,同時(shí)構(gòu)建出可靠的用以鑒別SMH的模型,。HS-SPME-GC-MS檢測(cè)出103種差異風(fēng)味物質(zhì),,可用于區(qū)分不同SMH,被檢出的揮發(fā)性組分中醛類,、醇類和酮類等化合物為SMH風(fēng)味的形成做出主要貢獻(xiàn),,明晰了部分風(fēng)味化合物形成的原因。PCA和聚類熱圖結(jié)果表明不同蛋白酶酶解對(duì)豆粕的揮發(fā)性風(fēng)味物質(zhì)的種類和含量有顯著影響,,其中,,風(fēng)味蛋白酶和木瓜蛋白酶對(duì)豆粕的風(fēng)味改善最為顯著。

    Abstract:

    To investigate the effect of enzymatic digestion of different proteases on the volatile flavor components of soybean meal, four proteases (alkaline protease, neutral protease, papain, flavor protease) were selected to enzyme soybean meal, using a headspace-gas chromatography-ion mobility spectroscopy (HS-GC-IMS) and headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) to analyze volatile flavor composition of different soybean meal hydrolysates (SMH), combined with the principal component analysis (PCA), heatmap clustering, and orthogonal partial least squares-discriminant analysis (OPLS-DA) to analyze the different SMH. The results showed that the volatile flavor components of alkaline protease, neutral protease, papain and flavor protease were quite different. HS-GC-IMS identified 84 volatile components, and screened 33 differential flavor substances, which found that the content of ketones and aldehyde, alcohols and esters were increased significantly after enzymatic digestion. The PCA results indicated significant differences in flavor between different SMH. Finally, volatile compounds with large contributions were selected by OPLS-DA, and reliable models used to identify SMH were constructed. HS-SPME-GC-MS detected 103 different flavor substances that could be used to distinguish different SMH. The volatile compounds such as aldehyde, alcohols, and ketones made major contributions to the formation of SMH flavor, which clarified the reasons for the formation of some flavor compounds. PCA and cluster heat map results showed that the enzyme digestion of different proteases had a significant influence on the type and content of volatile flavor substances of soybean meal, among which, flavor protease and papain showed the most significant flavor improvement of soybean meal.

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齊寶坤,劉雨雯,姚玉雪,吳思雨,孫樹坤,陳昊.基于HS-GC-IMS和HS-SPME-GC-MS的蛋白酶對(duì)豆粕揮發(fā)性風(fēng)味的影響分析[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2024,55(4):352-367,,410. QI Baokun, LIU Yuwen, YAO Yuxue, WU Siyu, SUN Shukun, CHEN Hao. Analysis of Effects of Proteases on Volatile Flavor of Soybean Meal Based on HS-GC-IMS and HS-SPME-GC-MS[J]. Transactions of the Chinese Society for Agricultural Machinery,2024,55(4):352-367,,410.

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  • 收稿日期:2023-08-16
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  • 在線發(fā)布日期: 2024-04-10
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