HUANG Qingxia, FU Guoyong, CHEN Liping. Detection of Acid Ester Content in Baijiu (Chinese Liquor) Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2022, 43(5): 310−314. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070116.
Citation: HUANG Qingxia, FU Guoyong, CHEN Liping. Detection of Acid Ester Content in Baijiu (Chinese Liquor) Based on Near Infrared Spectroscopy[J]. Science and Technology of Food Industry, 2022, 43(5): 310−314. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021070116.

Detection of Acid Ester Content in Baijiu (Chinese Liquor) Based on Near Infrared Spectroscopy

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  • Received Date: July 08, 2021
  • Available Online: December 30, 2021
  • To construct the near infrared spectrum model of acid ester content in Baijiu (Chinese Liquor) and detect rapidly the acid ester content in Baijiu. The chemical value of acid ester content in Baijiu was determined by reflux and acid-base titration, which was combined with the near-infrared spectra of 1 mm and 8 mm optical path colorimetric cell of Baijiu, and the near-infrared spectrum model of acid ester content in Baijiu was established by internal cross test and external independent verification test. The results showed that acid ester content in Baijiu had special absorption to near infrared spectroscopy (NIR). The processing method and the best band of 1 mm optical path colorimetric cell were first derivative and 9400~5448 cm−1, and the processing method and the best band of 8 mm optical path cell were first derivative and 9400~7500 cm−1 and 6100~5448 cm−1. The coefficient of determination (R2) between the NIR predicted values and the chemical true values of acid ester content in 1 mm and 8 mm optical path colorimetric cells were 99.18% and 96.62%, and the correction standard deviation (RMSECV) were 0.989 mmol/L and 1.980 mmol/L. The coefficient of determination (R2) of external independent verification model between the predicted values and the chemical true values was 99.45%, and the prediction standard deviation (RMSEP) was 0.819 mmol/L. The results showed that the NIR model built by 1 mm optical path colorimeter cell had good prediction ability and could meet the requirements of rapid detection of acid ester content in Baijiu.
  • [1]
    陈育新, 韩珍, 郭庆东. 中国白酒中呈香呈味物质研究进展[J]. 食品研究与开发,2015,36(2):140−142. [CHEN Y X, HAN Z, GUO Q D. Prograss of research on the aroma and flavor-producing substances in liquor[J]. Food Research and Develoment,2015,36(2):140−142. doi: 10.3969/j.issn.1005-6521.2015.02.036
    [2]
    郑福平, 马雅杰, 侯敏, 等. 世界6大蒸馏酒香气成分研究概括与前景展望[J]. 食品科学技术学报,2017,35(2):1−12. [ZHENG F P, MA Y J, HOU M, et al. Prograss and prospect in aroma components in top six distilled spirits[J]. Journal of Food Science and Technology,2017,35(2):1−12. doi: 10.3969/j.issn.2095-6002.2017.02.001
    [3]
    国家市场监督管理总局, 国家标准化管理委员会. GB/T 10781.1-2021白酒质量要求第1部分: 浓香型白酒[S]. 北京: 中国标准出版社, 2021.

    State Administration for Market Regulation, Standardization Administration. GB/T 10781.1-2021 Quality requirements for Baijiu-Part 1: Nongxiangxing Baijiu[S]. Beijing: Standards Press of China, 2021.
    [4]
    CHENG P, FAN W, XU Y. Deternination of Chinese liquors from different geographic origins by combination of mass spectrometry and chemoetric technique[J]. Food Control,2014,35(1):153−158. doi: 10.1016/j.foodcont.2013.07.003
    [5]
    CHENG P, FAN W, XU Y. Quality grade discrimination of Chinese strong aroma type liquors using mass spectrometry and multivariate analysis[J]. Food Research International,2013,54(2):1753−1760. doi: 10.1016/j.foodres.2013.09.002
    [6]
    田育红, 王凤仙, 吴青. 基于近红外光谱分析技术快速检测白酒中的关键指标[J]. 酿酒,2019,46(5):93−96. [TIAN Y H, WANG F X, WU Q. Rapid detection of key indicators in liquor based on near infrared spectroscopy[J]. Liquor Making,2019,46(5):93−96. doi: 10.3969/j.issn.1002-8110.2019.05.025
    [7]
    陈乃鹏. 傅立叶变换近红外光谱对酒的鉴定综述[J]. 当代化工研究,2019(6):22−24. [CHEN N P. Review on identification of wine by fourier transform infrared spectroscopy[J]. Modern Chemical Research,2019(6):22−24. doi: 10.3969/j.issn.1672-8114.2019.01.014
    [8]
    王海英, 杨玉珍, 任国军, 等. 利用近红外技术对河套原酒入库指标的检测研究[J]. 酿酒科技,2017(1):37−41. [WANG H Y, YANG Y Z, REN G J, et al. Rapid detection of warehousing indexes of Hetao base liquor by using near infrared technology[J]. Liquor-Making Science & Technology,2017(1):37−41.
    [9]
    陈霏, 庹先国, 曾祥林, 等. 近红外检测技术在白酒生产中的应用研究进展[J]. 食品科技,2021,46(1):280−284. [CHEN F, TUO X G, ZENG X L, et al. Research progress of near infrared detection technology in liquor production[J]. Food Science and Technology,2021,46(1):280−284.
    [10]
    MABOOD F, JABEEN F, HUSSAIN J, et al. FT-NIRS coupled with chemometric methods as a rapid alternative tool for the detection & quantification of cow milk adulteration in camel milk sammples[J]. Vibrational Spectroscopy,2017(7):245−250.
    [11]
    YU H Y, NIU X Y, LIN H J, et al. A feasibility study on on-line determinnation of rice wine composition by Vis-NIR spectroscopy and least-squares support vector machines[J]. Food Chemistry,2009,113(1):291−296. doi: 10.1016/j.foodchem.2008.06.083
    [12]
    YAO J, YANG Q, SUN C Y, et al. Qualitative analysis of methanol in the forged wine using spectrophotometer[J]. Chinese Journal of Spectroscopy Labortory,2000,17(1):35−37.
    [13]
    郭玉姗, 刘建学, 李璇, 等. 基于近红外光谱技术的白酒基酒中乳酸的快速检测[J]. 食品工业科技,2018,39(20):212−216. [GUO Y S, LIU J X, LI X, et al. Rapid determination of lactic acid in base liquor based on near infrared spectroscopy[J]. Science and Technology of Food Industry,2018,39(20):212−216.
    [14]
    杨增玲, 黄圆萍, 沈光辉, 等. 基于在线近红外光谱的堆肥全过程关键参数快速检测[J]. 农业机械学报,2019,50(5):356−361,384. [YANG Z L, HUANG Y P, SHEN G H, et al. Rapid detection of key parameters of conposting process based on online near-infrared spectroscopy[J]. Trans Chin Soc Agric Mach,2019,50(5):356−361,384. doi: 10.6041/j.issn.1000-1298.2019.05.040
    [15]
    邓波, 沈才洪, 丁海龙, 等. 红外光谱分析技术在白酒行业中的应用进展[J]. 中国酿造,2020,39(9):13−17. [DENG B, SHEN C H, DING H L, et al. Advances in the application of infrared spectroscopy in the Chinese Baijiu industry[J]. China Brewing,2020,39(9):13−17. doi: 10.11882/j.issn.0254-5071.2020.09.003
    [16]
    DIRK W. Rapid quality control of spirit drinks and beer using multivariate data analysis of Fourier transform infrared spectra[J]. Food Chem,2007,101(2):825−832. doi: 10.1016/j.foodchem.2005.12.032
    [17]
    UMESH R, KRISHNA P, MIGUEL P. Determination of organic acids in wine and spirit drinks by Fourier transform infrared (FT-IR) spectroscopy[J]. J Food Sei Technol Nepal,2012,7:36−43.
    [18]
    谭超, 吴同, 李惟一, 等. 近红外光谱组合区间偏最小二乘法定量白酒中的乙酸乙酯[J]. 计算机与应用化学,2014,31(4):540−512. [TAN C, WU T, LI W Y, et al. Quantitative analysis of ethyl acetate in Baijiu by near infrared spectroscopy combined with partial least squares[J]. Computers and Applied Chemistry,2014,31(4):540−512.
    [19]
    刘建学, 杨国迪, 韩四海, 等. 白酒基酒中典型醇的近红外预测模型构建[J]. 食品科学,2018,39(2):281−286. [LIU J X, YANG G D, HAN S H, et al. Prediction model for typical alcohols in base liquor based on near infrared spectroscopy[J]. Food Science,2018,39(2):281−286. doi: 10.7506/spkx1002-6630-201802044
    [20]
    刘建学, 张卫卫, 韩四海, 等. 白酒基酒中己酸/乙酸的近红外快速检测[J]. 食品科学,2016,37(4):181−185. [LIU J X, ZHANG W W, HAN S H, et al. Rapid detection of caproic acid and acetic acid in liquor base based on Fourier transform near-infrared spectroscopy[J]. Food Science,2016,37(4):181−185. doi: 10.7506/spkx1002-6630-201604032
    [21]
    彭帮柱, 龙明华, 岳田利, 等. 傅里叶变换近红外光谱法检测白酒总酸和总酯[J]. 农业工程学报,2006,22(12):216−219. [PENG B Z, LONG M H, YUE T L, et al. Determinstion of TA and TE concentration in liquor based an Fourier transform near-infrared spectroscopy[J]. Transactions of the CSAE,2006,22(12):216−219. doi: 10.3321/j.issn:1002-6819.2006.12.045
    [22]
    中华人民共和国国家质量监督检验检疫总局, 中国国家标准化管理委员会. GB/T601-2016化学试剂标准滴定溶液的制备[S]. 北京: 中国标准出版社, 2016.

    General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China, Standardization Administration of the People’s Republic of China. GB/T601-2016 Chemical reagent: Preparations of reference titration solutions[S]. Beijing: Standards Press of China, 2016.
    [23]
    中华人民共和国国家质量监督检验检疫总局. GB/T603-2002化学试剂试验方法中所用制剂及制品的制备[S]. 北京: 中国标准出版社, 2002.

    General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China. GB/T603-2002 Chemical reagent: Preparations of reagent solutions for use in test methods[S]. Beijing: Standards Press of China, 2002.
    [24]
    董新罗, 刘建学, 韩四海, 等. 白酒基酒中酮类物质的近红外光谱检测方法[J]. 分析测试学报,2020,39(11):1427−1432. [DONG X L, LIU J X, HAN S H, et al. Rapid detection of ketones in base liquor by near infrared spectroscopy[J]. Journal of Instrmental Analysis,2020,39(11):1427−1432. doi: 10.3969/j.issn.1004-4957.2020.11.018
    [25]
    HAITAO S, YAOGENG L, LUCIANA L P, et al. Evaluation of near-infrafed (NIR) and Fourier transform mid-infrared (ATR-FT/MIR) spectroscopy techniques combined with chemometrics for the determination of crude protein and intestinal protein digestibility of wheat[J]. Food Chem,2019,272(9):507−513.
    [26]
    GORDON R, CHAPMAN J, POWER A, et al. Unfrazzled by fizziness: Identification of beers using attenuated total reflectance mid-infrared spectroscopy and multivariate analysis[J]. Food Anal Method,2018,11(9):2360−2367. doi: 10.1007/s12161-018-1225-y
    [27]
    SUN Z, LI C, LI L, et al. Study on feasibility of determination of glucosamine content of fermentation process using a micro NIR spectrometer[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2018(8):153−160.
    [28]
    宗绪岩, 李骥, 邹永芳, 等. 基于化学计量学的近红外光谱法检测白酒中酯含量研究[J]. 农产品加工,2019,2(2):53−55,59. [ZONG X Y, LI J, ZOU Y F, et al. Determination of ester contents in Baijiu by near infrared spectroscopy based on chemometrics[J]. Farm Products Processing,2019,2(2):53−55,59.
    [29]
    陆婉珍. 现代近红外光谱分析技术(第二版)[M]. 北京: 中国石化出版社, 2007.

    LU W Z. Modern near infrared spectroscopy analytical technology (Second edition)[M]. Baijing: China Petrochemical Press, 2007.
    [30]
    李霞. 基于近红外光谱技术的赤霞珠干红葡萄酒品质指标检测方法研究[D]. 杨凌: 西北农林科技大学, 2018.

    LI X. Rapid detection of wuslity index in cabernet sauvignon red wine based on near-infrared spectroscopy[D]. Yangling: Northwest A & F University, 2018.
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