Cataract is the world's leading cause of blindness, the treatment of which, exclusively surgical, offers excellent results in terms of visual recovery. It represents the most frequently performed surgery in France with more than 800,000 procedures each year. However, some patients develop postoperative ocular surface disease that can affect final visual acuity and quality of life. For example, dry eye disease, very common in the elderly, can be worsened by cataract surgery. The identification of ocular surface biomarkers predictive of the postoperative risk of ocular surface disease carries the promise of better personalized perioperative care. Conjunctival impression cytology represents a rapid, minimally invasive method of collecting conjunctival cells, which has proven its usefulness in the evaluation of diseases of the ocular surface. The aqueous humor is directly accessible at the beginning of the surgery. An approach combining ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry on the cells of the ocular surface and on the aqueous humor could improve our understanding of the physiopathology of ocular surface disease following cataract surgery. This study will aim to 1) search for prognostic biomarkers of ocular surface disease after cataract surgery using a metabo-lipidomic approach 2) improve our understanding of the pathophysiological mechanisms involved.