[1] Auesukaree C. Molecular mechanisms of the yeast adaptive response and tolerance to stresses encountered during ethanol fermentation[J]. Journal of Bioscience and Bioengineering, 124, 133-142(2017).

[2] Burphan T, Tatip S, Limcharoensuk T et al. Enhancement of ethanol production in very high gravity fermentation by reducing fermentation-induced oxidative stress in Saccharomyces cerevisiae[J]. Scientific Reports, 8, 13069(2018).

[3] Wu R Z, Chen D, Cao S W et al. Enhanced ethanol production from sugarcane molasses by industrially engineered Saccharomyces cerevisiae via replacement of the PHO4 gene[J]. RSC Advances, 10, 2267-2276(2020).

[4] Dong S J, Yi C F, Li H. Changes of Saccharomyces cerevisiae cell membrane components and promotion to ethanol tolerance during the bioethanol fermentation[J]. The International Journal of Biochemistry & Cell Biology, 69, 196-203(2015).

[5] Elbakush A E, Güven D. Evaluation of ethanol tolerance in relation to intracellular storage compounds of Saccharomyces cerevisiae using FT-IR spectroscopy[J]. Process Biochemistry, 101, 266-273(2021).

[6] Li R Y, Miao Y J, Yuan S K et al. Integrated transcriptomic and proteomic analysis of the ethanol stress response in Saccharomyces cerevisiae Sc131[J]. Journal of Proteomics, 203, 103377(2019).

[7] Wang Y F, Zhang S X, Liu H Q et al. Changes and roles of membrane compositions in the adaptation of Saccharomyces cerevisiae to ethanol[J]. Journal of Basic Microbiology, 55, 1417-1426(2015).

[8] Kim S, Kim J, Song J H et al. Elucidation of ethanol tolerance mechanisms in Saccharomyces cerevisiae by global metabolite profiling[J]. Biotechnology Journal, 11, 1221-1229(2016).

[9] Crutchfield C A, Lu W Y, Melamud E et al. Mass spectrometry-based metabolomics of yeast[M]. Methods in enzymology, 393-426(2010).

[10] Farrés M, Piña B, Tauler R. Chemometric evaluation of Saccharomyces cerevisiae metabolic profiles using LC-MS[J]. Metabolomics: Official Journal of the Metabolomic Society, 11, 210-224(2015).

[11] Ming M, Wang X Y, Lian L L et al. Metabolic responses of Saccharomyces cerevisiae to ethanol stress using gas chromatography-mass spectrometry[J]. Molecular Omics, 15, 216-221(2019).

[12] Carlquist M, Fernandes R L, Helmark S et al. Physiological heterogeneities in microbial populations and implications for physical stress tolerance[J]. Microbial Cell Factories, 11, 94(2012).

[13] Lau W Y, Chun K H, Chan W T. Correlation of single-cell ICP-MS intensity distributions for the study of heterogeneous cellular responses to environmental stresses[J]. Journal of Analytical Atomic Spectrometry, 32, 807-815(2017).

[14] He Y H, Wang X X, Ma B et al. Ramanome technology platform for label-free screening and sorting of microbial cell factories at single-cell resolution[J]. Biotechnology Advances, 37, 107388(2019).

[15] Qiu S F, Li M M, Liu J et al. Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy[J]. Biomedical Optics Express, 11, 1819-1833(2020).

[16] Iwasaki K, Kaneko A, Tanaka Y et al. Visualizing wax ester fermentation in single Euglena gracilis cells by Raman microspectroscopy and multivariate curve resolution analysis[J]. Biotechnology for Biofuels, 12, 128(2019).

[17] Wang Q, Zeng W D, Xia Z P et al. Recognition of food-borne pathogenic bacteria by Raman spectroscopy based on random forest algorithm[J]. Chinese Journal of Lasers, 48, 0311002(2021).

[18] Tanniche I, Collakova E, Denbow C et al. Characterizing metabolic stress-induced phenotypes of synechocystis PCC6803 with Raman spectroscopy[J]. PeerJ, 8, e8535(2020).

[19] Li Y X, Hu C Q, Ma L F et al. Research progress in intelligent and precise optical diagnosis and treatment technology[J]. Chinese Journal of Lasers, 48, 1507002(2021).

[20] Chen Y, Wang Z Q, Huang Y et al. Label-free detection of hydrogen peroxide-induced oxidative stress in human retinal pigment epithelium cells via laser tweezers Raman spectroscopy[J]. Biomedical Optics Express, 10, 500-513(2019).

[21] Lin D, Zheng Z C, Wang Q W et al. Label-free optical sensor based on red blood cells laser tweezers Raman spectroscopy analysis for ABO blood typing[J]. Optics Express, 24, 24750-24759(2016).

[22] Navas-Moreno M, Chan J W. Laser tweezers Raman microspectroscopy of single cells and biological particles[J]. Methods in Molecular Biology, 1745, 219-257(2018).

[23] Georg Schulze H, Konorov S O, Piret J M et al. Empirical factors affecting the quality of non-negative matrix factorization of mammalian cell Raman spectra[J]. Applied Spectroscopy, 71, 2681-2691(2017).

[24] Horii S, Ando M, Samuel A Z et al. Detection of penicillin G produced by penicillium chrysogenum with Raman microspectroscopy and multivariate curve resolution-alternating least-squares methods[J]. Journal of Natural Products, 83, 3223-3229(2020).

[25] Noothalapati H, Iwasaki K, Yamamoto T. Biological and medical applications of multivariate curve resolution assisted Raman spectroscopy[J]. Analytical Sciences: the International Journal of the Japan Society for Analytical Chemistry, 33, 15-22(2017).

[26] Ji M Q, Zhu Q B, Huang M et al. Method for improving identification accuracy of components in mixtures using Raman spectra of known mixtures[J]. Chinese Journal of Lasers, 47, 1111001(2020).

[27] Ferreira G R, Soares F L F, Carneiro R L et al. Evaluation of conversion during the synthesis of aluminum (III) methacrylate-based copolymers using Raman spectroscopy and multivariate curve resolution[J]. Microchemical Journal, 123, 62-69(2015).

[28] López-Pastor M, Domínguez-Vidal A, Ayora-Cañada M J et al. Enzyme kinetics assay in ionic liquid-based reaction media by means of Raman spectroscopy and multivariate curve resolution[J]. Microchemical Journal, 87, 93-98(2007).

[29] Parastar H. Multivariate curve resolution methods for qualitative and quantitative analysis in analytical chemistry[J]. Data Handling in Science and Technology, 29, 293-345(2015).

[30] Soares F L F, Carneiro R L. In-line monitoring of cocrystallization process and quantification of carbamazepine-nicotinamide cocrystal using Raman spectroscopy and chemometric tools[J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 180, 1-8(2017).

[31] Wu H L, Yin X L, Gu H W et al. Chemometrics in bioanalytical chemistry[M]. Encyclopedia of analytical chemistry, 1-38(2016).

[32] Roger J M, Boulet J C, Zeaiter M et al. Pre-processing methods[M]. Comprehensive chemometrics, 1-75(2020).

[33] Jaumot J, Gargallo R, de Juan A N et al. A graphical user-friendly interface for MCR-ALS: a new tool for multivariate curve resolution in MATLAB[J]. Chemometrics and Intelligent Laboratory Systems, 76, 101-110(2005).

[34] Ruckebusch C, Blanchet L. Multivariate curve resolution: a review of advanced and tailored applications and challenges[J]. Analytica Chimica Acta, 765, 28-36(2013).

[35] Maeder M, de Juan A. Two-way data analysis: evolving factor analysis[M]. Comprehensive chemometrics, 95-106(2020).

[36] Jaumot J, de Juan A N, Tauler R. MCR-ALS GUI 2.0: new features and applications[J]. Chemometrics and Intelligent Laboratory Systems, 140, 1-12(2015).

[37] Martí-Aluja I, Ruisánchez I, Larrechi M S. Quantitative analysis of the effect of zidovudine, efavirenz, and ritonavir on insulin aggregation by multivariate curve resolution alternating least squares of infrared spectra[J]. Analytica Chimica Acta, 760, 16-24(2013).

[38] Hekmatara M, Heidari Baladehi M, Ji Y T et al. D2O-probed Raman microspectroscopy distinguishes the metabolic dynamics of macromolecules in organellar anticancer drug response[J]. Analytical Chemistry, 93, 2125-2134(2021).

[39] Huang Y S, Nakatsuka T, Hamaguchi H O. Behaviors of the “Raman spectroscopic signature of life” in single living fission yeast cells under different nutrient, stress, and atmospheric conditions[J]. Applied Spectroscopy, 61, 1290-1294(2007).

[40] Matsuda A, Sakaguchi N, Shigeto S. Can cells maintain their bioactivity in ionic liquids? A novel single-cell assessment by Raman microspectroscopy[J]. Journal of Raman Spectroscopy, 50, 768-777(2019).

[41] Czamara K, Majzner K, Pacia M Z et al. Raman spectroscopy of lipids: a review[J]. Journal of Raman Spectroscopy, 46, 4-20(2015).

[42] Wang T T, Ji Y T, Wang Y et al. Quantitative dynamics of triacylglycerol accumulation in microalgae populations at single-cell resolution revealed by Raman microspectroscopy[J]. Biotechnology for Biofuels, 7, 58(2014).

[43] Huang C K, Ando M, Hamaguchi H O et al. Disentangling dynamic changes of multiple cellular components during the yeast cell cycle by in vivo multivariate Raman imaging[J]. Analytical Chemistry, 84, 5661-5668(2012).

[44] Noothalapati H, Sasaki T, Kaino T et al. Label-free chemical imaging of fungal spore walls by Raman microscopy and multivariate curve resolution analysis[J]. Scientific Reports, 6, 27789(2016).

[45] Talari A C S, Movasaghi Z, Rehman S et al. Raman spectroscopy of biological tissues[J]. Applied Spectroscopy Reviews, 50, 46-111(2015).

[46] Shipp D W, Sinjab F, Notingher I. Raman spectroscopy: techniques and applications in the life sciences[J]. Advances in Optics and Photonics, 9, 315(2017).

[47] Deng X C, Ali-Adeeb R, Andrews J L et al. Monitor ionizing radiation-induced cellular responses with Raman spectroscopy, non-negative matrix factorization, and non-negative least squares[J]. Applied Spectroscopy, 74, 701-711(2020).

[48] Lairón-Peris M, Routledge S J, Linney J A et al. Lipid composition analysis reveals mechanisms of ethanol tolerance in the model yeast Saccharomyces cerevisiae[J]. Applied and Environmental Microbiology, 87, e0044021(2021).

[49] Puig-Castellví F, Bedia C, Alfonso I et al. Deciphering the underlying metabolomic and lipidomic patterns linked to thermal acclimation in Saccharomyces cerevisiae[J]. Journal of Proteome Research, 17, 2034-2044(2018).